Cloud_Optical_Thickness[ Cell_Along_Swath_5km= 0 ..405] [ Cell_Across_Swath_5km= 0 ..270] (Type is Int16)

attributes
- coordinates: Latitude Longitude
- long_name: Cloud Optical Thickness two-channel retrieval using band 7(2.1um) and either band 1(0.65um), 2(0.86um), or 5(1.2um) from best points: not failed in any way, not marked for clear sky restoral
- units: none
- valid_range: 0, 10000
- _FillValue: -9999
- Parameter_Type: Output
- Cell_Along_Swath_Sampling: 4, 2029, 5
- Cell_Across_Swath_Sampling: 3, 1348, 5
- Geolocation_Pointer: External MODIS geolocation product
- _1_km_to_5_km_subsampling_description: Each value in this dataset does not represent an average of properties over a 5 x 5 km grid box, but rather a single sample from within each 5 km box. Normally, pixels in across-track rows 4 and 9 (counting in the direction of increasing scan number) out of every set of 10 rows are used for subsampling the 1 km retrievals to a 5 km resolution. If the array contents are determined to be all fill values after selecting the default pixel subset (e.g., from failed detectors), a different pair of pixel rows is used to perform the subsampling. Note that 5 km data sets are centered on rows 3 and 8; the default sampling choice of 4 and 9 is for better data quality and avoidance of dead detectors on Aqua. The row pair used for the 1 km sample is always given by the first number and last digit of the second number of the attribute Cell_Along_Swath_Sampling. The attribute Cell_Across_Swath_Sampling indicates that columns 3 and 8 are used, as they always are, for across-track sampling. Again these values are to be interpreted counting in the direction of the scan, from 1 through 10 inclusively. For example, if the value of attribute Cell_Along_Swath_Sampling is 3, 2028, 5, then the third and eighth pixel rows were used for subsampling. A value of 4, 2029, 5 indicates that the default fourth and ninth rows pair was used.
- source_info: MYD06_L2.A2011295.0915.061.2018034055636.hdf pge06v6.1.4 Cloud_Optical_Thickness
- scale_factor: 0.0099999997764825821
- add_offset: 0.0000000000000000

Cloud_Effective_Radius[ Cell_Along_Swath_5km= 0 ..405] [ Cell_Across_Swath_5km= 0 ..270] (Type is Int16)

attributes
- coordinates: Latitude Longitude
- long_name: Cloud Particle Effective Radius two-channel retrieval using band 7(2.1um) and either band 1(0.65um), 2(0.86um), or 5(1.2um) from best points: not failed in any way, not marked for clear sky restoral
- units: micron
- valid_range: 0, 10000
- _FillValue: -9999
- Parameter_Type: Output
- Cell_Along_Swath_Sampling: 4, 2029, 5
- Cell_Across_Swath_Sampling: 3, 1348, 5
- Geolocation_Pointer: External MODIS geolocation product
- _1_km_to_5_km_subsampling_description: Each value in this dataset does not represent an average of properties over a 5 x 5 km grid box, but rather a single sample from within each 5 km box. Normally, pixels in across-track rows 4 and 9 (counting in the direction of increasing scan number) out of every set of 10 rows are used for subsampling the 1 km retrievals to a 5 km resolution. If the array contents are determined to be all fill values after selecting the default pixel subset (e.g., from failed detectors), a different pair of pixel rows is used to perform the subsampling. Note that 5 km data sets are centered on rows 3 and 8; the default sampling choice of 4 and 9 is for better data quality and avoidance of dead detectors on Aqua. The row pair used for the 1 km sample is always given by the first number and last digit of the second number of the attribute Cell_Along_Swath_Sampling. The attribute Cell_Across_Swath_Sampling indicates that columns 3 and 8 are used, as they always are, for across-track sampling. Again these values are to be interpreted counting in the direction of the scan, from 1 through 10 inclusively. For example, if the value of attribute Cell_Along_Swath_Sampling is 3, 2028, 5, then the third and eighth pixel rows were used for subsampling. A value of 4, 2029, 5 indicates that the default fourth and ninth rows pair was used.
- source_info: MYD06_L2.A2011295.0915.061.2018034055636.hdf pge06v6.1.4 Cloud_Effective_Radius
- scale_factor: 0.0099999997764825821
- add_offset: 0.0000000000000000

Cloud_Water_Path[ Cell_Along_Swath_5km= 0 ..405] [ Cell_Across_Swath_5km= 0 ..270] (Type is Int16)

attributes
- coordinates: Latitude Longitude
- long_name: Column Water Path two-channel retrieval using band 7(2.1um) and either band 1(0.65um), 2(0.86um), or 5(1.2um)from best points: not failed in any way, not marked for clear sky restoral
- units: g/m^2
- valid_range: 0, 10000
- _FillValue: -9999
- Parameter_Type: Output
- Cell_Along_Swath_Sampling: 4, 2029, 5
- Cell_Across_Swath_Sampling: 3, 1348, 5
- Geolocation_Pointer: External MODIS geolocation product
- _1_km_to_5_km_subsampling_description: Each value in this dataset does not represent an average of properties over a 5 x 5 km grid box, but rather a single sample from within each 5 km box. Normally, pixels in across-track rows 4 and 9 (counting in the direction of increasing scan number) out of every set of 10 rows are used for subsampling the 1 km retrievals to a 5 km resolution. If the array contents are determined to be all fill values after selecting the default pixel subset (e.g., from failed detectors), a different pair of pixel rows is used to perform the subsampling. Note that 5 km data sets are centered on rows 3 and 8; the default sampling choice of 4 and 9 is for better data quality and avoidance of dead detectors on Aqua. The row pair used for the 1 km sample is always given by the first number and last digit of the second number of the attribute Cell_Along_Swath_Sampling. The attribute Cell_Across_Swath_Sampling indicates that columns 3 and 8 are used, as they always are, for across-track sampling. Again these values are to be interpreted counting in the direction of the scan, from 1 through 10 inclusively. For example, if the value of attribute Cell_Along_Swath_Sampling is 3, 2028, 5, then the third and eighth pixel rows were used for subsampling. A value of 4, 2029, 5 indicates that the default fourth and ninth rows pair was used.
- source_info: MYD06_L2.A2011295.0915.061.2018034055636.hdf pge06v6.1.4 Cloud_Water_Path
- scale_factor: 1.0000000000000000
- add_offset: 0.0000000000000000

Cloud_Optical_Thickness_1621[ Cell_Along_Swath_5km= 0 ..405] [ Cell_Across_Swath_5km= 0 ..270] (Type is Int16)

attributes
- coordinates: Latitude Longitude
- long_name: Cloud Optical Thickness two-channel retrieval using band 7(2.1um) and band 6(1.6um)from best points: not failed in any way, not marked for clear sky restoral
- units: none
- valid_range: 0, 10000
- _FillValue: -9999
- Parameter_Type: Output
- Cell_Along_Swath_Sampling: 4, 2029, 5
- Cell_Across_Swath_Sampling: 3, 1348, 5
- Geolocation_Pointer: External MODIS geolocation product
- _1_km_to_5_km_subsampling_description: Each value in this dataset does not represent an average of properties over a 5 x 5 km grid box, but rather a single sample from within each 5 km box. Normally, pixels in across-track rows 4 and 9 (counting in the direction of increasing scan number) out of every set of 10 rows are used for subsampling the 1 km retrievals to a 5 km resolution. If the array contents are determined to be all fill values after selecting the default pixel subset (e.g., from failed detectors), a different pair of pixel rows is used to perform the subsampling. Note that 5 km data sets are centered on rows 3 and 8; the default sampling choice of 4 and 9 is for better data quality and avoidance of dead detectors on Aqua. The row pair used for the 1 km sample is always given by the first number and last digit of the second number of the attribute Cell_Along_Swath_Sampling. The attribute Cell_Across_Swath_Sampling indicates that columns 3 and 8 are used, as they always are, for across-track sampling. Again these values are to be interpreted counting in the direction of the scan, from 1 through 10 inclusively. For example, if the value of attribute Cell_Along_Swath_Sampling is 3, 2028, 5, then the third and eighth pixel rows were used for subsampling. A value of 4, 2029, 5 indicates that the default fourth and ninth rows pair was used.
- source_info: MYD06_L2.A2011295.0915.061.2018034055636.hdf pge06v6.1.4 Cloud_Optical_Thickness_1621
- scale_factor: 0.0099999997764825821
- add_offset: 0.0000000000000000

Cloud_Effective_Radius_1621[ Cell_Along_Swath_5km= 0 ..405] [ Cell_Across_Swath_5km= 0 ..270] (Type is Int16)

attributes
- coordinates: Latitude Longitude
- long_name: Cloud Particle Effective Radius two-channel retrieval using band 7(2.1um) and band 6(1.6um)from best points: not failed in any way, not marked for clear sky restoral
- units: micron
- valid_range: 0, 10000
- _FillValue: -9999
- Parameter_Type: Output
- Cell_Along_Swath_Sampling: 4, 2029, 5
- Cell_Across_Swath_Sampling: 3, 1348, 5
- Geolocation_Pointer: External MODIS geolocation product
- _1_km_to_5_km_subsampling_description: Each value in this dataset does not represent an average of properties over a 5 x 5 km grid box, but rather a single sample from within each 5 km box. Normally, pixels in across-track rows 4 and 9 (counting in the direction of increasing scan number) out of every set of 10 rows are used for subsampling the 1 km retrievals to a 5 km resolution. If the array contents are determined to be all fill values after selecting the default pixel subset (e.g., from failed detectors), a different pair of pixel rows is used to perform the subsampling. Note that 5 km data sets are centered on rows 3 and 8; the default sampling choice of 4 and 9 is for better data quality and avoidance of dead detectors on Aqua. The row pair used for the 1 km sample is always given by the first number and last digit of the second number of the attribute Cell_Along_Swath_Sampling. The attribute Cell_Across_Swath_Sampling indicates that columns 3 and 8 are used, as they always are, for across-track sampling. Again these values are to be interpreted counting in the direction of the scan, from 1 through 10 inclusively. For example, if the value of attribute Cell_Along_Swath_Sampling is 3, 2028, 5, then the third and eighth pixel rows were used for subsampling. A value of 4, 2029, 5 indicates that the default fourth and ninth rows pair was used.
- source_info: MYD06_L2.A2011295.0915.061.2018034055636.hdf pge06v6.1.4 Cloud_Effective_Radius_1621
- scale_factor: 0.0099999997764825821
- add_offset: 0.0000000000000000

Cloud_Water_Path_1621[ Cell_Along_Swath_5km= 0 ..405] [ Cell_Across_Swath_5km= 0 ..270] (Type is Int16)

attributes
- coordinates: Latitude Longitude
- long_name: Column Water Path two-channel retrieval using band 7(2.1um) and band 6(1.6um)from best points: not failed in any way, not marked for clear sky restoral
- units: g/m^2
- valid_range: 0, 10000
- _FillValue: -9999
- Parameter_Type: Output
- Cell_Along_Swath_Sampling: 4, 2029, 5
- Cell_Across_Swath_Sampling: 3, 1348, 5
- Geolocation_Pointer: External MODIS geolocation product
- _1_km_to_5_km_subsampling_description: Each value in this dataset does not represent an average of properties over a 5 x 5 km grid box, but rather a single sample from within each 5 km box. Normally, pixels in across-track rows 4 and 9 (counting in the direction of increasing scan number) out of every set of 10 rows are used for subsampling the 1 km retrievals to a 5 km resolution. If the array contents are determined to be all fill values after selecting the default pixel subset (e.g., from failed detectors), a different pair of pixel rows is used to perform the subsampling. Note that 5 km data sets are centered on rows 3 and 8; the default sampling choice of 4 and 9 is for better data quality and avoidance of dead detectors on Aqua. The row pair used for the 1 km sample is always given by the first number and last digit of the second number of the attribute Cell_Along_Swath_Sampling. The attribute Cell_Across_Swath_Sampling indicates that columns 3 and 8 are used, as they always are, for across-track sampling. Again these values are to be interpreted counting in the direction of the scan, from 1 through 10 inclusively. For example, if the value of attribute Cell_Along_Swath_Sampling is 3, 2028, 5, then the third and eighth pixel rows were used for subsampling. A value of 4, 2029, 5 indicates that the default fourth and ninth rows pair was used.
- source_info: MYD06_L2.A2011295.0915.061.2018034055636.hdf pge06v6.1.4 Cloud_Water_Path_1621
- scale_factor: 1.0000000000000000
- add_offset: 0.0000000000000000

Cloud_Optical_Thickness_Uncertainty[ Cell_Along_Swath_5km= 0 ..405] [ Cell_Across_Swath_5km= 0 ..270] (Type is Int16)

attributes
- coordinates: Latitude Longitude
- long_name: Cloud Optical Thickness Relative Uncertainty (Percent)from both best points and points identified as cloud edge at 1km resolution or partly cloudy at 250m based on the Cloud_Optical_Thickness and Cloud_Effective_Radius results
- units: percent
- valid_range: 0, 20000
- _FillValue: -9999
- Parameter_Type: Output
- Cell_Along_Swath_Sampling: 4, 2029, 5
- Cell_Across_Swath_Sampling: 3, 1348, 5
- Geolocation_Pointer: External MODIS geolocation product
- _1_km_to_5_km_subsampling_description: Each value in this dataset does not represent an average of properties over a 5 x 5 km grid box, but rather a single sample from within each 5 km box. Normally, pixels in across-track rows 4 and 9 (counting in the direction of increasing scan number) out of every set of 10 rows are used for subsampling the 1 km retrievals to a 5 km resolution. If the array contents are determined to be all fill values after selecting the default pixel subset (e.g., from failed detectors), a different pair of pixel rows is used to perform the subsampling. Note that 5 km data sets are centered on rows 3 and 8; the default sampling choice of 4 and 9 is for better data quality and avoidance of dead detectors on Aqua. The row pair used for the 1 km sample is always given by the first number and last digit of the second number of the attribute Cell_Along_Swath_Sampling. The attribute Cell_Across_Swath_Sampling indicates that columns 3 and 8 are used, as they always are, for across-track sampling. Again these values are to be interpreted counting in the direction of the scan, from 1 through 10 inclusively. For example, if the value of attribute Cell_Along_Swath_Sampling is 3, 2028, 5, then the third and eighth pixel rows were used for subsampling. A value of 4, 2029, 5 indicates that the default fourth and ninth rows pair was used.
- source_info: MYD06_L2.A2011295.0915.061.2018034055636.hdf pge06v6.1.4 Cloud_Optical_Thickness_Uncertainty
- scale_factor: 0.0099999997764825821
- add_offset: 0.0000000000000000

Cloud_Effective_Radius_Uncertainty[ Cell_Along_Swath_5km= 0 ..405] [ Cell_Across_Swath_5km= 0 ..270] (Type is Int16)

attributes
- coordinates: Latitude Longitude
- long_name: Cloud Effective Particle Radius (from band 7(2.1um)) Relative Uncertainty (Percent)from both best points and points identified as cloud edge at 1km resolution or partly cloudy at 250m
- units: percent
- valid_range: 0, 20000
- _FillValue: -9999
- Parameter_Type: Output
- Cell_Along_Swath_Sampling: 4, 2029, 5
- Cell_Across_Swath_Sampling: 3, 1348, 5
- Geolocation_Pointer: External MODIS geolocation product
- _1_km_to_5_km_subsampling_description: Each value in this dataset does not represent an average of properties over a 5 x 5 km grid box, but rather a single sample from within each 5 km box. Normally, pixels in across-track rows 4 and 9 (counting in the direction of increasing scan number) out of every set of 10 rows are used for subsampling the 1 km retrievals to a 5 km resolution. If the array contents are determined to be all fill values after selecting the default pixel subset (e.g., from failed detectors), a different pair of pixel rows is used to perform the subsampling. Note that 5 km data sets are centered on rows 3 and 8; the default sampling choice of 4 and 9 is for better data quality and avoidance of dead detectors on Aqua. The row pair used for the 1 km sample is always given by the first number and last digit of the second number of the attribute Cell_Along_Swath_Sampling. The attribute Cell_Across_Swath_Sampling indicates that columns 3 and 8 are used, as they always are, for across-track sampling. Again these values are to be interpreted counting in the direction of the scan, from 1 through 10 inclusively. For example, if the value of attribute Cell_Along_Swath_Sampling is 3, 2028, 5, then the third and eighth pixel rows were used for subsampling. A value of 4, 2029, 5 indicates that the default fourth and ninth rows pair was used.
- source_info: MYD06_L2.A2011295.0915.061.2018034055636.hdf pge06v6.1.4 Cloud_Effective_Radius_Uncertainty
- scale_factor: 0.0099999997764825821
- add_offset: 0.0000000000000000

Cloud_Water_Path_Uncertainty[ Cell_Along_Swath_5km= 0 ..405] [ Cell_Across_Swath_5km= 0 ..270] (Type is Int16)

attributes
- coordinates: Latitude Longitude
- long_name: Cloud Water Path Relative Uncertainty (Percent)from both best points and points identified as cloud edge at 1km resolution or partly cloudy at 250m based on the Cloud_Water_Path result
- units: percent
- valid_range: 0, 20000
- _FillValue: -9999
- Parameter_Type: Output
- Cell_Along_Swath_Sampling: 4, 2029, 5
- Cell_Across_Swath_Sampling: 3, 1348, 5
- Geolocation_Pointer: External MODIS geolocation product
- _1_km_to_5_km_subsampling_description: Each value in this dataset does not represent an average of properties over a 5 x 5 km grid box, but rather a single sample from within each 5 km box. Normally, pixels in across-track rows 4 and 9 (counting in the direction of increasing scan number) out of every set of 10 rows are used for subsampling the 1 km retrievals to a 5 km resolution. If the array contents are determined to be all fill values after selecting the default pixel subset (e.g., from failed detectors), a different pair of pixel rows is used to perform the subsampling. Note that 5 km data sets are centered on rows 3 and 8; the default sampling choice of 4 and 9 is for better data quality and avoidance of dead detectors on Aqua. The row pair used for the 1 km sample is always given by the first number and last digit of the second number of the attribute Cell_Along_Swath_Sampling. The attribute Cell_Across_Swath_Sampling indicates that columns 3 and 8 are used, as they always are, for across-track sampling. Again these values are to be interpreted counting in the direction of the scan, from 1 through 10 inclusively. For example, if the value of attribute Cell_Along_Swath_Sampling is 3, 2028, 5, then the third and eighth pixel rows were used for subsampling. A value of 4, 2029, 5 indicates that the default fourth and ninth rows pair was used.
- source_info: MYD06_L2.A2011295.0915.061.2018034055636.hdf pge06v6.1.4 Cloud_Water_Path_Uncertainty
- scale_factor: 0.0099999997764825821
- add_offset: 0.0000000000000000

Cloud_Optical_Thickness_Uncertainty_1621[ Cell_Along_Swath_5km= 0 ..405] [ Cell_Across_Swath_5km= 0 ..270] (Type is Int16)

attributes
- coordinates: Latitude Longitude
- long_name: Cloud Optical Thickness Relative Uncertainty (Percent) using band 7(2.1um) and band 6(1.6um)from both best points and points identified as cloud edge at 1km resolution or partly cloudy at 250m
- units: percent
- valid_range: 0, 20000
- _FillValue: -9999
- Parameter_Type: Output
- Cell_Along_Swath_Sampling: 4, 2029, 5
- Cell_Across_Swath_Sampling: 3, 1348, 5
- Geolocation_Pointer: External MODIS geolocation product
- _1_km_to_5_km_subsampling_description: Each value in this dataset does not represent an average of properties over a 5 x 5 km grid box, but rather a single sample from within each 5 km box. Normally, pixels in across-track rows 4 and 9 (counting in the direction of increasing scan number) out of every set of 10 rows are used for subsampling the 1 km retrievals to a 5 km resolution. If the array contents are determined to be all fill values after selecting the default pixel subset (e.g., from failed detectors), a different pair of pixel rows is used to perform the subsampling. Note that 5 km data sets are centered on rows 3 and 8; the default sampling choice of 4 and 9 is for better data quality and avoidance of dead detectors on Aqua. The row pair used for the 1 km sample is always given by the first number and last digit of the second number of the attribute Cell_Along_Swath_Sampling. The attribute Cell_Across_Swath_Sampling indicates that columns 3 and 8 are used, as they always are, for across-track sampling. Again these values are to be interpreted counting in the direction of the scan, from 1 through 10 inclusively. For example, if the value of attribute Cell_Along_Swath_Sampling is 3, 2028, 5, then the third and eighth pixel rows were used for subsampling. A value of 4, 2029, 5 indicates that the default fourth and ninth rows pair was used.
- source_info: MYD06_L2.A2011295.0915.061.2018034055636.hdf pge06v6.1.4 Cloud_Optical_Thickness_Uncertainty_1621
- scale_factor: 0.0099999997764825821
- add_offset: 0.0000000000000000

Cloud_Effective_Radius_Uncertainty_1621[ Cell_Along_Swath_5km= 0 ..405] [ Cell_Across_Swath_5km= 0 ..270] (Type is Int16)

attributes
- coordinates: Latitude Longitude
- long_name: Cloud Effective Particle Radius Relative Uncertainty (Percent) using band 7(2.1um) and band 6(1.6um)from both best points and points identified as cloud edge at 1km resolution or partly cloudy at 250m
- units: percent
- valid_range: 0, 20000
- _FillValue: -9999
- Parameter_Type: Output
- Cell_Along_Swath_Sampling: 4, 2029, 5
- Cell_Across_Swath_Sampling: 3, 1348, 5
- Geolocation_Pointer: External MODIS geolocation product
- _1_km_to_5_km_subsampling_description: Each value in this dataset does not represent an average of properties over a 5 x 5 km grid box, but rather a single sample from within each 5 km box. Normally, pixels in across-track rows 4 and 9 (counting in the direction of increasing scan number) out of every set of 10 rows are used for subsampling the 1 km retrievals to a 5 km resolution. If the array contents are determined to be all fill values after selecting the default pixel subset (e.g., from failed detectors), a different pair of pixel rows is used to perform the subsampling. Note that 5 km data sets are centered on rows 3 and 8; the default sampling choice of 4 and 9 is for better data quality and avoidance of dead detectors on Aqua. The row pair used for the 1 km sample is always given by the first number and last digit of the second number of the attribute Cell_Along_Swath_Sampling. The attribute Cell_Across_Swath_Sampling indicates that columns 3 and 8 are used, as they always are, for across-track sampling. Again these values are to be interpreted counting in the direction of the scan, from 1 through 10 inclusively. For example, if the value of attribute Cell_Along_Swath_Sampling is 3, 2028, 5, then the third and eighth pixel rows were used for subsampling. A value of 4, 2029, 5 indicates that the default fourth and ninth rows pair was used.
- source_info: MYD06_L2.A2011295.0915.061.2018034055636.hdf pge06v6.1.4 Cloud_Effective_Radius_Uncertainty_1621
- scale_factor: 0.0099999997764825821
- add_offset: 0.0000000000000000

Cloud_Water_Path_Uncertainty_1621[ Cell_Along_Swath_5km= 0 ..405] [ Cell_Across_Swath_5km= 0 ..270] (Type is Int16)

attributes
- coordinates: Latitude Longitude
- long_name: Cloud Water Path Relative Uncertainty (Percent) using band 7(2.1um) and band 6(1.6um)from both best points and points identified as cloud edge at 1km resolution or partly cloudy at 250m
- units: percent
- valid_range: 0, 20000
- _FillValue: -9999
- Parameter_Type: Output
- Cell_Along_Swath_Sampling: 4, 2029, 5
- Cell_Across_Swath_Sampling: 3, 1348, 5
- Geolocation_Pointer: External MODIS geolocation product
- _1_km_to_5_km_subsampling_description: Each value in this dataset does not represent an average of properties over a 5 x 5 km grid box, but rather a single sample from within each 5 km box. Normally, pixels in across-track rows 4 and 9 (counting in the direction of increasing scan number) out of every set of 10 rows are used for subsampling the 1 km retrievals to a 5 km resolution. If the array contents are determined to be all fill values after selecting the default pixel subset (e.g., from failed detectors), a different pair of pixel rows is used to perform the subsampling. Note that 5 km data sets are centered on rows 3 and 8; the default sampling choice of 4 and 9 is for better data quality and avoidance of dead detectors on Aqua. The row pair used for the 1 km sample is always given by the first number and last digit of the second number of the attribute Cell_Along_Swath_Sampling. The attribute Cell_Across_Swath_Sampling indicates that columns 3 and 8 are used, as they always are, for across-track sampling. Again these values are to be interpreted counting in the direction of the scan, from 1 through 10 inclusively. For example, if the value of attribute Cell_Along_Swath_Sampling is 3, 2028, 5, then the third and eighth pixel rows were used for subsampling. A value of 4, 2029, 5 indicates that the default fourth and ninth rows pair was used.
- source_info: MYD06_L2.A2011295.0915.061.2018034055636.hdf pge06v6.1.4 Cloud_Water_Path_Uncertainty_1621
- scale_factor: 0.0099999997764825821
- add_offset: 0.0000000000000000

Cloud_Phase_Optical_Properties[ Cell_Along_Swath_5km= 0 ..405] [ Cell_Across_Swath_5km= 0 ..270] (Type is Int32)

attributes
- coordinates: Latitude Longitude
- long_name: Cloud Phase Determination Used in Optical Thickness/Effective Radius Retrieval
- units: none
- valid_range: 0, 4
- _FillValue: 0
- Parameter_Type: Output
- Cell_Along_Swath_Sampling: 4, 2029, 5
- Cell_Across_Swath_Sampling: 3, 1348, 5
- Geolocation_Pointer: External MODIS geolocation product
- description: \n The values in this SDS are set to mean the following: 0 -- cloud mask undetermined 1 -- clear sky 2 -- liquid water cloud 3 -- ice cloud 4 -- undetermined phase cloud (but retrieval is attempted as liquid water
- _1_km_to_5_km_subsampling_description: Each value in this dataset does not represent an average of properties over a 5 x 5 km grid box, but rather a single sample from within each 5 km box. Normally, pixels in across-track rows 4 and 9 (counting in the direction of increasing scan number) out of every set of 10 rows are used for subsampling the 1 km retrievals to a 5 km resolution. If the array contents are determined to be all fill values after selecting the default pixel subset (e.g., from failed detectors), a different pair of pixel rows is used to perform the subsampling. Note that 5 km data sets are centered on rows 3 and 8; the default sampling choice of 4 and 9 is for better data quality and avoidance of dead detectors on Aqua. The row pair used for the 1 km sample is always given by the first number and last digit of the second number of the attribute Cell_Along_Swath_Sampling. The attribute Cell_Across_Swath_Sampling indicates that columns 3 and 8 are used, as they always are, for across-track sampling. Again these values are to be interpreted counting in the direction of the scan, from 1 through 10 inclusively. For example, if the value of attribute Cell_Along_Swath_Sampling is 3, 2028, 5, then the third and eighth pixel rows were used for subsampling. A value of 4, 2029, 5 indicates that the default fourth and ninth rows pair was used.
- source_info: MYD06_L2.A2011295.0915.061.2018034055636.hdf pge06v6.1.4 Cloud_Phase_Optical_Properties
- scale_factor: 1.0000000000000000
- add_offset: 0.0000000000000000

Cloud_Phase_Infrared[ Cell_Along_Swath_5km= 0 ..405] [ Cell_Across_Swath_5km= 0 ..270] (Type is Int32)

attributes
- coordinates: Latitude Longitude
- long_name: Cloud Phase from 8.5 and 11 um Bands
- units: none
- valid_range: 0, 6
- _FillValue: 127
- Parameter_Type: Output
- Cell_Along_Swath_Sampling: 3, 2028, 5
- Cell_Across_Swath_Sampling: 3, 1348, 5
- Geolocation_Pointer: Internal geolocation arrays
- source_info: MYD06_L2.A2011295.0915.061.2018034055636.hdf pge06v6.1.4 Cloud_Phase_Infrared
- scale_factor: 1.0000000000000000
- add_offset: 0.0000000000000000

Cloud_Quality_Assurance[ Cell_Along_Swath_5km= 0 ..405] [ Cell_Across_Swath_5km= 0 ..270] [ QA_Parameter_5km= 0 ..8] (Type is Int32)

attributes
- coordinates: Latitude Longitude QA_Parameter_5km
- long_name: Cloud Quality Assurance at 5km Resolution
- units: none
- valid_range: 0, -1
- _FillValue: 0
- Parameter_Type: Output
- Cell_Along_Swath_Sampling: 4, 2029, 5
- Cell_Across_Swath_Sampling: 3, 1348, 5
- Geolocation_Pointer: External MODIS geolocation product
- description: \n Quality Assurance 1km reports on Cloud Optical Properties algorithm performance. Refer to MOD_PR06OD User Documentation and the MODIS atmosphere QA plan for complete descriptions and coding examples. Bit fields within each byte are numbered from the left: 7, 6, 5, 4, 3, 2, 1, 0. The left-most bit (bit 7) is the most significant bit. The right-most bit (bit 0) is the least significant bit. Byte 0 ----------------------------------------------------------------- 0 VNSWIR-2.1 Optical Thickness General QA 0 = Not Useful 1 = Useful 2,1 VNSWIR-2.1 Optical Thickness Confidence QA 00 = No confidence 01 = Marginal 10 = Good 11 = Very Good 4,3 Surface type used by the OD code 00 = ice-free ocean 01 = ice covered ocean 10 = snow-free land 11 = snow covered land 5 VNSWIR-2.1 Effective Radius General QA 0 = Not Useful 1 = Useful 7,6 VNSWIR-2.1 Effective Radius Confidence QA 00 = No confidence 01 = Marginal 10 = Good 11 = Very Good Byte 1 ----------------------------------------------------------------- 0 VNSWIR-2.1 Liquid Water Path General QA 0 = Not Useful 1 = Useful 2,1 VNSWIR-2.1 Liquid Water Path Confidence QA 00 = No confidence 01 = Marginal 10 = Good 11 = Very Good 5,4,3 Retrieval Phase 000 = No Cloud Mask 001 = No Cloud 010 = Water Cloud 011 = Ice Cloud 100 = Unknown Cloud 6 1.6- 2.1 Retrieval Outcome 0 = Failed/No attempt 1 = Successful Byte 2 ----------------------------------------------------------------- 2,1,0 Retrieval Phase 000 = No Cloud Mask 001 = No Cloud 010 = Water Cloud 011 = Ice Cloud 100 = Unknown Cloud 3 VNSWIR- 2.1 Retrieval Outcome 0 = Failed/No attempt 1 = Successful 4 Rayleigh Correction 0 = No Correction 1 = Correction 5 Water Vapor Correction 0 = No Correction 1 = Correction 7,6 Band Used for Optical Thickness Retrieval 00 = No attempt 01 = .645 micron 10 = .858 micron 11 = 1.24 micron Byte 3 ----------------------------------------------------------------- 0 Optical Thickness 1.6-2.1 General QA 0 = Not Useful 1 = Useful 2,1 Optical Thickness 1.6-2.1 Condifence QA 00 = No confidence 01 = Marginal 10 = Good 11 = Very Good 3 Effective Radius 1.6-2.1 General QA 0 = Not Useful 1 = Useful 5,4 Effective Radius 1.6-2.1 Confidence QA 00 = No confidence 01 = Marginal 10 = Good 11 = Very Good 7,6 Clear Sky Restoral Type QA 00 = Not Restored 01 = Restored Via Edge detection 10 = Restored Via Spatial Variance 11 = Restored Via 250m Tests Byte 4 ----------------------------------------------------------------- 0 Water Path 1.6-2.1 General QA 0 = Not Useful 1 = Useful 2,1 Water Path 1.6-2.1 Confidence QA 00 = No confidence 01 = Marginal 10 = Good 11 = Very Good 5,4,3 Multi Layer Cloud Flag 000 = Cloud Mask Undet 001 = Decision tree stop 010 = single layer: water 011 = multi layer: water 100 = single layer: ice 101 = multi layer: ice 110 = single layer: unknown 111 = multi layer: unknown 7,6 spare Byte 5 ----------------------------------------------------------------- 0 Phase difference multilayer test result 1 Delta precipitable water multilayer test result 2 Delta precipitable water at 900mb multilayer test result 3 Tau difference VNSWIR-SWIR multilayer test result 4 Pavolonis-Heidinger multilayer test result 7,6,5 spare Byte 6 ----------------------------------------------------------------- 2,1,0 Retrieval Phase 000 = No Cloud Mask 001 = No Cloud 010 = Water Cloud 011 = Ice Cloud 100 = Unknown Cloud 3 VNSWIR- 1.6 Retrieval Outcome 0 = Failed/No attempt 1 = Successful 6,5,4 Retrieval Phase 000 = No Cloud Mask 001 = No Cloud 010 = Water Cloud 011 = Ice Cloud 100 = Unknown Cloud 7 VNSWIR- 1.6 PCL Retrieval Outcome 0 = Failed/No attempt 1 = Successful Byte 7 ----------------------------------------------------------------- 2,1,0 Retrieval Phase 000 = No Cloud Mask 001 = No Cloud 010 = Water Cloud 011 = Ice Cloud 100 = Unknown Cloud 3 VNSWIR- 3.7 Retrieval Outcome 0 = Failed/No attempt 1 = Successful 6,5,4 Retrieval Phase 000 = No Cloud Mask 001 = No Cloud 010 = Water Cloud 011 = Ice Cloud 100 = Unknown Cloud 7 VNSWIR- 3.7 PCL Retrieval Outcome 0 = Failed/No attempt 1 = Successful Byte 8 ----------------------------------------------------------------- 2,1,0 Retrieval Phase 000 = No Cloud Mask 001 = No Cloud 010 = Water Cloud 011 = Ice Cloud 100 = Unknown Cloud 3 1.6- 2.1 PCL Retrieval Outcome 0 = Failed/No attempt 1 = Successful 6,5,4 Retrieval Phase 000 = No Cloud Mask 001 = No Cloud 010 = Water Cloud 011 = Ice Cloud 100 = Unknown Cloud 7 VNSWIR- 2.1 PCL Retrieval Outcome 0 = Failed/No attempt 1 = Successful
- _1_km_to_5_km_subsampling_description: Each value in this dataset does not represent an average of properties over a 5 x 5 km grid box, but rather a single sample from within each 5 km box. Normally, pixels in across-track rows 4 and 9 (counting in the direction of increasing scan number) out of every set of 10 rows are used for subsampling the 1 km retrievals to a 5 km resolution. If the array contents are determined to be all fill values after selecting the default pixel subset (e.g., from failed detectors), a different pair of pixel rows is used to perform the subsampling. Note that 5 km data sets are centered on rows 3 and 8; the default sampling choice of 4 and 9 is for better data quality and avoidance of dead detectors on Aqua. The row pair used for the 1 km sample is always given by the first number and last digit of the second number of the attribute Cell_Along_Swath_Sampling. The attribute Cell_Across_Swath_Sampling indicates that columns 3 and 8 are used, as they always are, for across-track sampling. Again these values are to be interpreted counting in the direction of the scan, from 1 through 10 inclusively. For example, if the value of attribute Cell_Along_Swath_Sampling is 3, 2028, 5, then the third and eighth pixel rows were used for subsampling. A value of 4, 2029, 5 indicates that the default fourth and ninth rows pair was used.
- source_info: MYD06_L2.A2011295.0915.061.2018034055636.hdf pge06v6.1.4 Quality_Assurance_1km
- scale_factor: 1.0000000000000000
- add_offset: 0.0000000000000000

Cirrus_Reflectance[ Cell_Along_Swath_5km= 0 ..405] [ Cell_Across_Swath_5km= 0 ..270] (Type is Int16)

attributes
- coordinates: Latitude Longitude
- long_name: Cirrus Reflectance
- units: none
- valid_range: 0, 8000
- _FillValue: -9999
- Parameter_Type: Output
- Cell_Along_Swath_Sampling: 4, 2029, 5
- Cell_Across_Swath_Sampling: 3, 1348, 5
- Geolocation_Pointer: External MODIS geolocation product
- _1_km_to_5_km_subsampling_description: Each value in this dataset does not represent an average of properties over a 5 x 5 km grid box, but rather a single sample from within each 5 km box. Normally, pixels in across-track rows 4 and 9 (counting in the direction of increasing scan number) out of every set of 10 rows are used for subsampling the 1 km retrievals to a 5 km resolution. If the array contents are determined to be all fill values after selecting the default pixel subset (e.g., from failed detectors), a different pair of pixel rows is used to perform the subsampling. Note that 5 km data sets are centered on rows 3 and 8; the default sampling choice of 4 and 9 is for better data quality and avoidance of dead detectors on Aqua. The row pair used for the 1 km sample is always given by the first number and last digit of the second number of the attribute Cell_Along_Swath_Sampling. The attribute Cell_Across_Swath_Sampling indicates that columns 3 and 8 are used, as they always are, for across-track sampling. Again these values are to be interpreted counting in the direction of the scan, from 1 through 10 inclusively. For example, if the value of attribute Cell_Along_Swath_Sampling is 3, 2028, 5, then the third and eighth pixel rows were used for subsampling. A value of 4, 2029, 5 indicates that the default fourth and ninth rows pair was used.
- source_info: MYD06_L2.A2011295.0915.061.2018034055636.hdf pge06v6.1.4 Cirrus_Reflectance
- scale_factor: 0.00019999999494757503
- add_offset: 0.0000000000000000

Cloud_Top_Pressure[ Cell_Along_Swath_5km= 0 ..405] [ Cell_Across_Swath_5km= 0 ..270] (Type is Int16)

attributes
- coordinates: Latitude Longitude
- long_name: Cloud Top Pressure Level (rounded to nearest 5 mb)
- units: hPa
- valid_range: 10, 11000
- _FillValue: -32768
- Parameter_Type: Output
- Cell_Along_Swath_Sampling: 3, 2028, 5
- Cell_Across_Swath_Sampling: 3, 1348, 5
- Geolocation_Pointer: Internal geolocation arrays
- source_info: MYD06_L2.A2011295.0915.061.2018034055636.hdf pge06v6.1.4 Cloud_Top_Pressure
- scale_factor: 0.10000000149011612
- add_offset: 0.0000000000000000

Cloud_Top_Temperature[ Cell_Along_Swath_5km= 0 ..405] [ Cell_Across_Swath_5km= 0 ..270] (Type is Int16)

attributes
- coordinates: Latitude Longitude
- long_name: Temperature from Ancillary Data at Retrieved Cloud Top Pressure Level
- units: K
- valid_range: 0, 20000
- _FillValue: -32768
- Parameter_Type: Output
- Cell_Along_Swath_Sampling: 3, 2028, 5
- Cell_Across_Swath_Sampling: 3, 1348, 5
- Geolocation_Pointer: Internal geolocation arrays
- source_info: MYD06_L2.A2011295.0915.061.2018034055636.hdf pge06v6.1.4 Cloud_Top_Temperature
- scale_factor: 0.0099999997764825821
- add_offset: 149.99999664723873

Cloud_Fraction[ Cell_Along_Swath_5km= 0 ..405] [ Cell_Across_Swath_5km= 0 ..270] (Type is Int32)

attributes
- coordinates: Latitude Longitude
- long_name: Cloud Fraction in Retrieval Region (5x5 1-km Pixels) from 1-km Cloud Mask
- units: none
- valid_range: 0, 100
- _FillValue: 127
- Parameter_Type: Output
- Cell_Along_Swath_Sampling: 3, 2028, 5
- Cell_Across_Swath_Sampling: 3, 1348, 5
- Geolocation_Pointer: Internal geolocation arrays
- source_info: MYD06_L2.A2011295.0915.061.2018034055636.hdf pge06v6.1.4 Cloud_Fraction
- scale_factor: 0.0099999997764825821
- add_offset: 0.0000000000000000

Precipitable_Water_Infrared_ClearSky[ Cell_Along_Swath_5km= 0 ..405] [ Cell_Across_Swath_5km= 0 ..270] (Type is Int16)

attributes
- coordinates: Latitude Longitude
- long_name: Total Column Precipitable Water Vapor - IR Clear Retrieval
- units: cm
- valid_range: 0, 20000
- _FillValue: -9999
- Parameter_Type: Output
- Cell_Along_Swath_Sampling: 3, 2028, 5
- Cell_Across_Swath_Sampling: 3, 1348, 5
- Geolocation_Pointer: Internal geolocation arrays
- source_info: MYD07_L2.A2011295.0915.061.2018034010746.hdf pge03v6.1.1 Water_Vapor
- scale_factor: 0.0010000000474974513
- add_offset: 0.0000000000000000

Cloud_Mask[ Byte_Segment= 0 ..0] [ Cell_Along_Swath_5km= 0 ..405] [ Cell_Across_Swath_5km= 0 ..270] (Type is Int32)

attributes
- coordinates: Byte_Segment Latitude Longitude
- long_name: MODIS Cloud Mask
- units: none
- valid_range: 0, -1
- _FillValue: 0
- Parameter_Type: Output
- Cell_Along_Swath_Sampling: 4, 2029, 5
- Cell_Across_Swath_Sampling: 3, 1348, 5
- Geolocation_Pointer: External MODIS geolocation product
- description: \n Bit fields within each byte are numbered from the left: 7, 6, 5, 4, 3, 2, 1, 0. The left-most bit (bit 7) is the most significant bit. The right-most bit (bit 0) is the least significant bit. bit field Description Key --------- ----------- --- 0 Cloud Mask Flag 0 = Not determined 1 = Determined 2, 1 Unobstructed FOV Quality Flag 00 = Cloudy 01 = Uncertain 10 = Probably Clear 11 = Confident Clear PROCESSING PATH --------------- 3 Day or Night Path 0 = Night / 1 = Day 4 Sunglint Path 0 = Yes / 1 = No 5 Snow/Ice Background Path 0 = Yes / 1 = No 7, 6 Land or Water Path 00 = Water 01 = Coastal 10 = Desert 11 = Land
- _1_km_to_5_km_subsampling_description: Each value in this dataset does not represent an average of properties over a 5 x 5 km grid box, but rather a single sample from within each 5 km box. Normally, pixels in across-track rows 4 and 9 (counting in the direction of increasing scan number) out of every set of 10 rows are used for subsampling the 1 km retrievals to a 5 km resolution. If the array contents are determined to be all fill values after selecting the default pixel subset (e.g., from failed detectors), a different pair of pixel rows is used to perform the subsampling. Note that 5 km data sets are centered on rows 3 and 8; the default sampling choice of 4 and 9 is for better data quality and avoidance of dead detectors on Aqua. The row pair used for the 1 km sample is always given by the first number and last digit of the second number of the attribute Cell_Along_Swath_Sampling. The attribute Cell_Across_Swath_Sampling indicates that columns 3 and 8 are used, as they always are, for across-track sampling. Again these values are to be interpreted counting in the direction of the scan, from 1 through 10 inclusively. For example, if the value of attribute Cell_Along_Swath_Sampling is 3, 2028, 5, then the third and eighth pixel rows were used for subsampling. A value of 4, 2029, 5 indicates that the default fourth and ninth rows pair was used.
- source_info: MYD35_L2.A2011295.0915.061.2018034010727.hdf pge03v6.1.1 Cloud_Mask
- scale_factor: 1.0000000000000000
- add_offset: 0.0000000000000000

Solar_Zenith_10km[ Cell_Along_Swath_10km= 0 ..202] [ Cell_Across_Swath_10km= 0 ..134] (Type is Int16)

attributes
- coordinates: Latitude_10km Longitude_10km
- long_name: Solar Zenith Angle, Cell to Sun at 10km Resolution
- units: Degrees
- valid_range: 0, 18000
- _FillValue: -9999
- Parameter_Type: MODIS Input
- Cell_Along_Swath_Sampling: 1, 2021, 10
- Cell_Across_Swath_Sampling: 1, 1345, 10
- Geolocation_Pointer: Internal geolocation arrays
- source_info: MYD04_L2.A2011295.0915.061.2018034053114.hdf pge04v04 Solar_Zenith
- scale_factor: 0.0099999997764825821
- add_offset: 0.0000000000000000

Viewing_Zenith_10km[ Cell_Along_Swath_10km= 0 ..202] [ Cell_Across_Swath_10km= 0 ..134] (Type is Int16)

attributes
- coordinates: Latitude_10km Longitude_10km
- long_name: Viewing_Zenith Angle, Cell to Viewing at 10km Resolution
- units: Degrees
- valid_range: 0, 18000
- _FillValue: -9999
- Parameter_Type: MODIS Input
- Cell_Along_Swath_Sampling: 1, 2021, 10
- Cell_Across_Swath_Sampling: 1, 1354, 10
- Geolocation_Pointer: Internal geolocation arrays
- source_info: MYD04_L2.A2011295.0915.061.2018034053114.hdf pge04v04 Sensor_Zenith
- scale_factor: 0.0099999997764825821
- add_offset: 0.0000000000000000

Relative_Azimuth_10km[ Cell_Along_Swath_10km= 0 ..202] [ Cell_Across_Swath_10km= 0 ..134] (Type is Int16)

attributes
- coordinates: Latitude_10km Longitude_10km
- long_name: Relative Azimuth ( RA = abs(180-abs(snsr_az-slr_az)) ) at 10km Resolution
- units: Degrees
- valid_range: -18000, 18000
- _FillValue: -9999
- Parameter_Type: Output
- Cell_Along_Swath_Sampling: 1, 2021, 10
- Cell_Across_Swath_Sampling: 1, 1345, 10
- Geolocation_Pointer: Internal geolocation arrays
- source_info: MYD04_L2.A2011295.0915.061.2018034053114.hdf pge04v04 Sensor_Azimuth Solar_Azimuth for each pixel: RA = abs(180-abs(snsr_az-slr_az))
- scale_factor: 0.0099999997764825821
- add_offset: 0.0000000000000000

Aerosol_Optical_Depth[ Cell_Along_Swath_10km= 0 ..202] [ Cell_Across_Swath_10km= 0 ..134] (Type is Int16)

attributes
- coordinates: Latitude_10km Longitude_10km
- long_name: AOT at 0.55 micron for both ocean (Average) (Quality flag=1,2,3) and land (corrected) (Quality flag=3)
- units: None
- valid_range: -100, 5000
- _FillValue: -9999
- Parameter_Type: Output
- Cell_Along_Swath_Sampling: 1, 2021, 10
- Cell_Across_Swath_Sampling: 1, 1354, 10
- Geolocation_Pointer: Internal geolocation arrays
- source_info: MYD04_L2.A2011295.0915.061.2018034053114.hdf pge04v04 Optical_Depth_Land_And_Ocean
- scale_factor: 0.0010000000474974513
- add_offset: 0.0000000000000000

Deep_Blue_Aerosol_Optical_Depth_550_Land[ Cell_Along_Swath_10km= 0 ..202] [ Cell_Across_Swath_10km= 0 ..134] (Type is Int16)

attributes
- coordinates: Latitude_10km Longitude_10km
- long_name: AOT at 0.55 micron for land with all quality data (Quality flag=1,2,3)
- units: None
- valid_range: 0, 5000
- _FillValue: -9999
- Parameter_Type: Output
- Cell_Along_Swath_Sampling: 1, 2021, 10
- Cell_Across_Swath_Sampling: 1, 1354, 10
- Geolocation_Pointer: Internal geolocation arrays
- source_info: MYD04_L2.A2011295.0915.061.2018034053114.hdf pge04v04 Deep_Blue_Aerosol_Optical_Depth_550_Land
- scale_factor: 0.0010000000474974513
- add_offset: 0.0000000000000000

Deep_Blue_Angstrom_Exponent_Land[ Cell_Along_Swath_10km= 0 ..202] [ Cell_Across_Swath_10km= 0 ..134] (Type is Int16)

attributes
- coordinates: Latitude_10km Longitude_10km
- long_name: Deep Blue Angstrom Exponent for land (between 412/470 nm for bright surfaces, 470/650 nm for vegetated surfaces) with all quality data (Quality flag=1,2,3)
- units: None
- valid_range: -500, 5000
- _FillValue: -9999
- Parameter_Type: Output
- Cell_Along_Swath_Sampling: 1, 2021, 10
- Cell_Across_Swath_Sampling: 1, 1354, 10
- Geolocation_Pointer: Internal geolocation arrays
- source_info: MYD04_L2.A2011295.0915.061.2018034053114.hdf pge04v04 Deep_Blue_Angstrom_Exponent_Land
- scale_factor: 0.0010000000474974513
- add_offset: 0.0000000000000000

Total_Ozone[ Cell_Along_Swath_5km= 0 ..405] [ Cell_Across_Swath_5km= 0 ..270] (Type is Int16)

attributes
- coordinates: Latitude Longitude
- _FillValue: -32768
- valid_range: 0, 5000
- long_name: Total Ozone Burden
- units: Dobson
- Parameter_Type: Output
- Cell_Along_Swath_Sampling: 3, 2028, 5
- Cell_Across_Swath_Sampling: 3, 1348, 5
- Geolocation_Pointer: Internal geolocation arrays
- scale_factor: 0.10000000149011612
- add_offset: 0.0000000000000000

Lifted_Index[ Cell_Along_Swath_5km= 0 ..405] [ Cell_Across_Swath_5km= 0 ..270] (Type is Int16)

attributes
- coordinates: Latitude Longitude
- _FillValue: -32768
- valid_range: -2000, 4000
- long_name: Lifted Index
- units: K
- Parameter_Type: Output
- Cell_Along_Swath_Sampling: 3, 2028, 5
- Cell_Across_Swath_Sampling: 3, 1348, 5
- Geolocation_Pointer: Internal geolocation arrays
- scale_factor: 0.0099999997764825821
- add_offset: 0.0000000000000000

K_Index[ Cell_Along_Swath_5km= 0 ..405] [ Cell_Across_Swath_5km= 0 ..270] (Type is Int16)

attributes
- coordinates: Latitude Longitude
- _FillValue: -32768
- valid_range: 11500, 20000
- long_name: K_Index
- units: K
- Parameter_Type: Output
- Cell_Along_Swath_Sampling: 3, 2028, 5
- Cell_Across_Swath_Sampling: 3, 1348, 5
- Geolocation_Pointer: Internal geolocation arrays
- scale_factor: 0.0099999997764825821
- add_offset: 149.99999664723873

Total_Totals_Index[ Cell_Along_Swath_5km= 0 ..405] [ Cell_Across_Swath_5km= 0 ..270] (Type is Int16)

attributes
- coordinates: Latitude Longitude
- _FillValue: -32768
- valid_range: 0, 8000
- long_name: Total Totals
- units: K
- Parameter_Type: Output
- Cell_Along_Swath_Sampling: 3, 2028, 5
- Cell_Across_Swath_Sampling: 3, 1348, 5
- Geolocation_Pointer: Internal geolocation arrays
- scale_factor: 0.0099999997764825821
- add_offset: 0.0000000000000000

Aerosol_Angstrom_Exponent_Ocean[ Cell_Along_Swath_10km= 0 ..202] [ Cell_Across_Swath_10km= 0 ..134] (Type is Int16)

attributes
- coordinates: Latitude_10km Longitude_10km
- _FillValue: -9999
- valid_range: -1000, 5000
- long_name: Calculated Angstrom Exponent for 0.55 vs 0.86 micron for Average Solution
- units: None
- Parameter_Type: Output
- Cell_Along_Swath_Sampling: 1, 2021, 10
- Cell_Across_Swath_Sampling: 1, 1354, 10
- Geolocation_Pointer: Internal geolocation arrays
- scale_factor: 0.0010000000474974513
- add_offset: 0.0000000000000000

Aerosol_Land_Sea_Flag[ Cell_Along_Swath_10km= 0 ..202] [ Cell_Across_Swath_10km= 0 ..134] (Type is Int16)

attributes
- coordinates: Latitude_10km Longitude_10km
- _FillValue: -9999
- valid_range: 0, 1
- long_name: Land_sea_Flag(based on MOD03 Landsea mask 0 = Ocean, 1 = Land and Ephemeral water 2 =Coastal)
- units: None
- Parameter_Type: Output
- Cell_Along_Swath_Sampling: 1, 2021, 10
- Cell_Across_Swath_Sampling: 1, 1354, 10
- Geolocation_Pointer: Internal geolocation arrays
- scale_factor: 1.0000000000000000
- add_offset: 0.0000000000000000

Aerosol_Cloud_Pixel_Distance_Land_Ocean[ Cell_Along_Swath_10km= 0 ..202] [ Cell_Across_Swath_10km= 0 ..134] (Type is Int16)

attributes
- coordinates: Latitude_10km Longitude_10km
- _FillValue: -9999
- valid_range: 0, 60
- long_name: Average Distance (number of pixels) to nearest pixel identified as cloudy from each clear pixel used for Aerosol Retrieval in 10 km retrieval box
- units: Number of pixels
- Parameter_Type: Output
- Cell_Along_Swath_Sampling: 1, 2021, 10
- Cell_Across_Swath_Sampling: 1, 1354, 10
- Geolocation_Pointer: Internal geolocation arrays
- scale_factor: 1.0000000000000000
- add_offset: 0.0000000000000000

Aerosol_Cloud_Fraction_Ocean[ Cell_Along_Swath_10km= 0 ..202] [ Cell_Across_Swath_10km= 0 ..134] (Type is Int16)

attributes
- coordinates: Latitude_10km Longitude_10km
- _FillValue: -9999
- valid_range: 0, 1000
- long_name: Cloud fraction from Land aerosol cloud mask from retrieved and overcast pixels not including cirrus mask
- units: None
- Parameter_Type: Output
- Cell_Along_Swath_Sampling: 1, 2021, 10
- Cell_Across_Swath_Sampling: 1, 1354, 10
- Geolocation_Pointer: Internal geolocation arrays
- scale_factor: 0.0010000000474974513
- add_offset: 0.0000000000000000

Aerosol_Cloud_Fraction_Land[ Cell_Along_Swath_10km= 0 ..202] [ Cell_Across_Swath_10km= 0 ..134] (Type is Int16)

attributes
- coordinates: Latitude_10km Longitude_10km
- _FillValue: -9999
- valid_range: 0, 1000
- long_name: Cloud fraction from Land aerosol cloud mask from retrieved and overcast pixels not including cirrus mask
- units: None
- Parameter_Type: Output
- Cell_Along_Swath_Sampling: 1, 2021, 10
- Cell_Across_Swath_Sampling: 1, 1354, 10
- Geolocation_Pointer: Internal geolocation arrays
- scale_factor: 0.0010000000474974513
- add_offset: 0.0000000000000000

Aerosol_Land_Ocean_Quality_Flag[ Cell_Along_Swath_10km= 0 ..202] [ Cell_Across_Swath_10km= 0 ..134] (Type is Int16)

attributes
- coordinates: Latitude_10km Longitude_10km
- _FillValue: -9999
- valid_range: 0, 3
- long_name: Quality Flag for Land and ocean Aerosol retreivals 0= bad 1 = Marginal 2= Good 3=Very Good)
- units: None
- Parameter_Type: Output
- Cell_Along_Swath_Sampling: 1, 2021, 10
- Cell_Across_Swath_Sampling: 1, 1354, 10
- Geolocation_Pointer: Internal geolocation arrays
- scale_factor: 1.0000000000000000
- add_offset: 0.0000000000000000

AOD_550_Dark_Target_Deep_Blue_Combined[ Cell_Along_Swath_10km= 0 ..202] [ Cell_Across_Swath_10km= 0 ..134] (Type is Int16)

attributes
- coordinates: Latitude_10km Longitude_10km
- _FillValue: -9999
- valid_range: -100, 5000
- long_name: Combined Dark Target, Deep Blue AOT at 0.55 micron for land and ocean.
- units: None
- Parameter_Type: Output
- Cell_Along_Swath_Sampling: 1, 2021, 10
- Cell_Across_Swath_Sampling: 1, 1354, 10
- Geolocation_Pointer: Internal geolocation arrays
- scale_factor: 0.0010000000474974513
- add_offset: 0.0000000000000000

AOD_550_Dark_Target_Deep_Blue_Combined_QA_Flag[ Cell_Along_Swath_10km= 0 ..202] [ Cell_Across_Swath_10km= 0 ..134] (Type is Int16)

attributes
- coordinates: Latitude_10km Longitude_10km
- _FillValue: -9999
- valid_range: 0, 3
- long_name: Combined Dark Target, Deep Blue Aerosol Confidence Flag (0= No Confidence (or fill), 1= Marginal, 2= Good, 3= Very Good)
- units: None
- Parameter_Type: Output
- Cell_Along_Swath_Sampling: 1, 2021, 10
- Cell_Across_Swath_Sampling: 1, 1354, 10
- Geolocation_Pointer: Internal geolocation arrays
- scale_factor: 1.0000000000000000
- add_offset: 0.0000000000000000

AOD_550_Dark_Target_Deep_Blue_Combined_Algorithm_Flag[ Cell_Along_Swath_10km= 0 ..202] [ Cell_Across_Swath_10km= 0 ..134] (Type is Int16)

attributes
- coordinates: Latitude_10km Longitude_10km
- _FillValue: -999
- valid_range: 0, 2
- long_name: Combined Dark Target, Deep Blue AOT at 0.55 micron Algorithm Flag (0=Dark Target, 1=Deep Blue, 2=Mixed)
- units: None
- Parameter_Type: Output
- Cell_Along_Swath_Sampling: 1, 2021, 10
- Cell_Across_Swath_Sampling: 1, 1354, 10
- Geolocation_Pointer: Internal geolocation arrays
- scale_factor: 1.0000000000000000
- add_offset: 0.0000000000000000

Deep_Blue_Aerosol_Optical_Depth_550_Land_Best_Estimate[ Cell_Along_Swath_10km= 0 ..202] [ Cell_Across_Swath_10km= 0 ..134] (Type is Int16)

attributes
- coordinates: Latitude_10km Longitude_10km
- _FillValue: -9999
- valid_range: 0, 5000
- long_name: Deep Blue AOT at 0.55 micron for land with higher quality data (Quality flag=2,3)
- units: None
- Parameter_Type: Output
- Cell_Along_Swath_Sampling: 1, 2021, 10
- Cell_Across_Swath_Sampling: 1, 1354, 10
- Geolocation_Pointer: Internal geolocation arrays
- scale_factor: 0.0010000000474974513
- add_offset: 0.0000000000000000

Deep_Blue_Aerosol_Optical_Depth_550_Land_QA_Flag[ Cell_Along_Swath_10km= 0 ..202] [ Cell_Across_Swath_10km= 0 ..134] (Type is Int16)

attributes
- coordinates: Latitude_10km Longitude_10km
- _FillValue: 0
- valid_range: 0, 3
- long_name: Deep Blue Aerosol Confidence Flag (0= No Confidence (or fill), 1= Marginal, 2= Good, 3= Very Good)
- units: None
- Parameter_Type: Output
- Cell_Along_Swath_Sampling: 1, 2021, 10
- Cell_Across_Swath_Sampling: 1, 1354, 10
- Geolocation_Pointer: Internal geolocation arrays
- scale_factor: 1.0000000000000000
- add_offset: 0.0000000000000000

Deep_Blue_Aerosol_Optical_Depth_550_Land_Estimated_Uncertainty[ Cell_Along_Swath_10km= 0 ..202] [ Cell_Across_Swath_10km= 0 ..134] (Type is Int16)

attributes
- coordinates: Latitude_10km Longitude_10km
- _FillValue: -9999
- valid_range: 0, 5000
- long_name: Estimated uncertainty (one-sigma confidence envelope) of Deep Blue AOT at 0.55 micron for land for all quality data (Quality flag=1,2,3)
- units: None
- Parameter_Type: Output
- Cell_Along_Swath_Sampling: 1, 2021, 10
- Cell_Across_Swath_Sampling: 1, 1354, 10
- Geolocation_Pointer: Internal geolocation arrays
- scale_factor: 0.0010000000474974513
- add_offset: 0.0000000000000000

Aerosol_Quality_Assurance_Land[ Cell_Along_Swath_10km= 0 ..202] [ Cell_Across_Swath_10km= 0 ..134] [ QA_Byte_Land= 0 ..5] (Type is Int32)

attributes
- coordinates: Latitude_10km Longitude_10km QA_Byte_Land
- _FillValue: 0
- valid_range: 0, -1
- long_name: Runtime QA flags
- units: None
- Parameter_Type: Output
- Cell_Along_Swath_Sampling: 1, 2021, 10
- Cell_Across_Swath_Sampling: 1, 1354, 10
- Geolocation_Pointer: Internal geolocation arrays
- description: see MODIS atmosphere QA plan for details
- scale_factor: 1.0000000000000000
- add_offset: 0.0000000000000000

Aerosol_Quality_Assurance_Ocean[ Cell_Along_Swath_10km= 0 ..202] [ Cell_Across_Swath_10km= 0 ..134] [ QA_Byte_Ocean= 0 ..4] (Type is Int32)

attributes
- coordinates: Latitude_10km Longitude_10km QA_Byte_Ocean
- _FillValue: 0
- valid_range: 0, -1
- long_name: Run time QA flags
- units: None
- Parameter_Type: Output
- Cell_Along_Swath_Sampling: 1, 2021, 10
- Cell_Across_Swath_Sampling: 1, 1354, 10
- Geolocation_Pointer: Internal geolocation arrays
- description: (see MODIS atmosphere QA plan for details)
- scale_factor: 1.0000000000000000
- add_offset: 0.0000000000000000

Deep_Blue_Single_Scattering_Albedo_412_Land[ Num_DeepBlue_Wavelengths= 0 ..2] [ Cell_Along_Swath_10km= 0 ..202] [ Cell_Across_Swath_10km= 0 ..134] (Type is Int16)

attributes
- coordinates: Num_DeepBlue_Wavelengths Latitude_10km Longitude_10km
- _FillValue: -9999
- valid_range: 700, 1000
- long_name: Deep Blue Single Scattering Albedo at 0.412, 0.47, and 0.66 micron for land with all quality data (Quality flag=1,2,3)
- units: None
- Parameter_Type: Output
- Cell_Along_Swath_Sampling: 1, 2021, 10
- Cell_Across_Swath_Sampling: 1, 1354, 10
- Geolocation_Pointer: Internal geolocation arrays
- scale_factor: 0.0010000000474974513
- add_offset: 0.0000000000000000

Longitude_10km[ Cell_Along_Swath_10km= 0 ..202] [ Cell_Across_Swath_10km= 0 ..134] (Type is Float32)

attributes
- units:
- _FillValue: -999.0000000
- valid_range: -180.0000000, 180.0000000
- long_name: Geodetic Longitude
- Parameter_Type: MODIS Input
- Cell_Along_Swath_Sampling: 1, 2021, 10
- Cell_Across_Swath_Sampling: 1, 1345, 10
- Geolocation_Pointer: Geolocation data not applicable

Latitude_10km[ Cell_Along_Swath_10km= 0 ..202] [ Cell_Across_Swath_10km= 0 ..134] (Type is Float32)

attributes
- units:
- _FillValue: -999.0000000
- valid_range: -90.00000000, 90.00000000
- long_name: Geodetic Latitude
- Parameter_Type: MODIS Input
- Cell_Along_Swath_Sampling: 1, 2021, 10
- Cell_Across_Swath_Sampling: 1, 1345, 10
- Geolocation_Pointer: Geolocation data not applicable

Precipitable_Water_Near_Infrared_ClearSky[ Cell_Along_Swath_5km= 0 ..405] [ Cell_Across_Swath_5km= 0 ..270] (Type is Int16)

attributes
- coordinates: Latitude Longitude
- _FillValue: -9999
- long_name: Total Column Precipitable Water Vapor - Near Infrared Retrieval
- unit: cm
- Parameter_Type: Output
- Cell_Along_Swath_Sampling: 4, 2029, 5
- Cell_Across_Swath_Sampling: 3, 1353, 5
- Geolocation_Pointer: Internal geolocation arrays
- valid_range: 0, 20000
- scale_factor: 0.0010000000474974513
- add_offset: 0.0000000000000000

Cloud_Optical_Thickness_PCL[ Cell_Along_Swath_5km= 0 ..405] [ Cell_Across_Swath_5km= 0 ..270] (Type is Int16)

attributes
- coordinates: Latitude Longitude
- _FillValue: -9999
- valid_range: 0, 10000
- long_name: Cloud Optical Thickness two-channel retrieval using band 7(2.1um) and either band 1(0.65um), 2(0.86um), or 5(1.2um) (specified in Quality_Assurance_1km)from points identified as either partly cloudy from 250m cloud mask test or 1km cloud edges
- units: none
- Parameter_Type: Output
- Cell_Along_Swath_Sampling: 4, 2029, 5
- Cell_Across_Swath_Sampling: 3, 1353, 5
- Geolocation_Pointer: External MODIS geolocation product
- scale_factor: 0.0099999997764825821
- add_offset: 0.0000000000000000

Cloud_Optical_Thickness_16[ Cell_Along_Swath_5km= 0 ..405] [ Cell_Across_Swath_5km= 0 ..270] (Type is Int16)

attributes
- coordinates: Latitude Longitude
- _FillValue: -9999
- valid_range: 0, 10000
- long_name: Cloud Optical Thickness two-channel retrieval using band 6(1.6um) and either band 1(0.65um), 2(0.86um), or 5(1.2um) (specified in Quality_Assurance_1km)from best points: not failed in any way, not marked for clear sky restoral
- units: none
- Parameter_Type: Output
- Cell_Along_Swath_Sampling: 4, 2029, 5
- Cell_Across_Swath_Sampling: 3, 1353, 5
- Geolocation_Pointer: External MODIS geolocation product
- scale_factor: 0.0099999997764825821
- add_offset: 0.0000000000000000

Cloud_Optical_Thickness_16_PCL[ Cell_Along_Swath_5km= 0 ..405] [ Cell_Across_Swath_5km= 0 ..270] (Type is Int16)

attributes
- coordinates: Latitude Longitude
- _FillValue: -9999
- valid_range: 0, 10000
- long_name: Cloud Optical Thickness two-channel retrieval using band 6(1.6um) and either band 1(0.65um), 2(0.86um), or 5(1.2um) (specified in Quality_Assurance_1km)from points identified as either partly cloudy from 250m cloud mask test or 1km cloud edges
- units: none
- Parameter_Type: Output
- Cell_Along_Swath_Sampling: 4, 2029, 5
- Cell_Across_Swath_Sampling: 3, 1353, 5
- Geolocation_Pointer: External MODIS geolocation product
- scale_factor: 0.0099999997764825821
- add_offset: 0.0000000000000000

Cloud_Optical_Thickness_37[ Cell_Along_Swath_5km= 0 ..405] [ Cell_Across_Swath_5km= 0 ..270] (Type is Int16)

attributes
- coordinates: Latitude Longitude
- _FillValue: -9999
- valid_range: 0, 10000
- long_name: Cloud Optical Thickness two-channel retrieval using band 20(3.7um) and either band 1(0.65um), 2(0.86um), or 5(1.2um) (specified in Quality_Assurance_1km)from best points: not failed in any way, not marked for clear sky restoral
- units: none
- Parameter_Type: Output
- Cell_Along_Swath_Sampling: 4, 2029, 5
- Cell_Across_Swath_Sampling: 3, 1353, 5
- Geolocation_Pointer: External MODIS geolocation product
- scale_factor: 0.0099999997764825821
- add_offset: 0.0000000000000000

Cloud_Optical_Thickness_37_PCL[ Cell_Along_Swath_5km= 0 ..405] [ Cell_Across_Swath_5km= 0 ..270] (Type is Int16)

attributes
- coordinates: Latitude Longitude
- _FillValue: -9999
- valid_range: 0, 10000
- long_name: Cloud Optical Thickness two-channel retrieval using band 20(3.7um) and either band 1(0.65um), 2(0.86um), or 5(1.2um) (specified in Quality_Assurance_1km)from points identified as either partly cloudy from 250m cloud mask test or 1km cloud edges
- units: none
- Parameter_Type: Output
- Cell_Along_Swath_Sampling: 4, 2029, 5
- Cell_Across_Swath_Sampling: 3, 1353, 5
- Geolocation_Pointer: External MODIS geolocation product
- scale_factor: 0.0099999997764825821
- add_offset: 0.0000000000000000

Cloud_Optical_Thickness_Uncertainty_16[ Cell_Along_Swath_5km= 0 ..405] [ Cell_Across_Swath_5km= 0 ..270] (Type is Int16)

attributes
- coordinates: Latitude Longitude
- _FillValue: -9999
- valid_range: 0, 20000
- long_name: Cloud Optical Thickness Relative Uncertainty (Percent)from both best points and points identified as cloud edge at 1km resolution or partly cloudy at 250m based on the Cloud_Optical_Thickness_16 and Cloud_Effective_Radius_16 results
- units: percent
- Parameter_Type: Output
- Cell_Along_Swath_Sampling: 4, 2029, 5
- Cell_Across_Swath_Sampling: 3, 1353, 5
- Geolocation_Pointer: External MODIS geolocation product
- scale_factor: 0.0099999997764825821
- add_offset: 0.0000000000000000

Cloud_Optical_Thickness_Uncertainty_37[ Cell_Along_Swath_5km= 0 ..405] [ Cell_Across_Swath_5km= 0 ..270] (Type is Int16)

attributes
- coordinates: Latitude Longitude
- _FillValue: -9999
- valid_range: 0, 20000
- long_name: Cloud Optical Thickness Relative Uncertainty (Percent)from both best points and points identified as cloud edge at 1km resolution or partly cloudy at 250m based on the Cloud_Optical_Thickness_37 and Cloud_Effective_Radius_37 results
- units: percent
- Parameter_Type: Output
- Cell_Along_Swath_Sampling: 4, 2029, 5
- Cell_Across_Swath_Sampling: 3, 1353, 5
- Geolocation_Pointer: External MODIS geolocation product
- scale_factor: 0.0099999997764825821
- add_offset: 0.0000000000000000

Cloud_Effective_Radius_PCL[ Cell_Along_Swath_5km= 0 ..405] [ Cell_Across_Swath_5km= 0 ..270] (Type is Int16)

attributes
- coordinates: Latitude Longitude
- _FillValue: -9999
- valid_range: 0, 10000
- long_name: Cloud Particle Effective Radius two-channel retrieval using band 7(2.1um) and either band 1(0.65um), 2(0.86um), or 5(1.2um) (specified in Quality_Assurance_1km)from points identified as either partly cloudy from 250m cloud mask test or 1km cloud edges
- units: micron
- Parameter_Type: Output
- Cell_Along_Swath_Sampling: 4, 2029, 5
- Cell_Across_Swath_Sampling: 3, 1353, 5
- Geolocation_Pointer: External MODIS geolocation product
- scale_factor: 0.0099999997764825821
- add_offset: 0.0000000000000000

Cloud_Effective_Radius_16[ Cell_Along_Swath_5km= 0 ..405] [ Cell_Across_Swath_5km= 0 ..270] (Type is Int16)

attributes
- coordinates: Latitude Longitude
- _FillValue: -9999
- valid_range: 0, 10000
- long_name: Cloud Particle Effective Radius two-channel retrieval using band 6(1.6um) and either band 1(0.65um), 2(0.86um), or 5(1.2um) (specified in Quality_Assurance_1km)from best points: not failed in any way, not marked for clear sky restoral
- units: micron
- Parameter_Type: Output
- Cell_Along_Swath_Sampling: 4, 2029, 5
- Cell_Across_Swath_Sampling: 3, 1353, 5
- Geolocation_Pointer: External MODIS geolocation product
- scale_factor: 0.0099999997764825821
- add_offset: 0.0000000000000000

Cloud_Effective_Radius_16_PCL[ Cell_Along_Swath_5km= 0 ..405] [ Cell_Across_Swath_5km= 0 ..270] (Type is Int16)

attributes
- coordinates: Latitude Longitude
- _FillValue: -9999
- valid_range: 0, 10000
- long_name: Cloud Particle Effective Radius two-channel retrieval using band 6(1.6um) and either band 1(0.65um), 2(0.86um), or 5(1.2um) (specified in Quality_Assurance_1km)from points identified as either partly cloudy from 250m cloud mask test or 1km cloud edges
- units: micron
- Parameter_Type: Output
- Cell_Along_Swath_Sampling: 4, 2029, 5
- Cell_Across_Swath_Sampling: 3, 1353, 5
- Geolocation_Pointer: External MODIS geolocation product
- scale_factor: 0.0099999997764825821
- add_offset: 0.0000000000000000

Cloud_Effective_Radius_37[ Cell_Along_Swath_5km= 0 ..405] [ Cell_Across_Swath_5km= 0 ..270] (Type is Int16)

attributes
- coordinates: Latitude Longitude
- _FillValue: -9999
- valid_range: 0, 10000
- long_name: Cloud Particle Effective Radius two-channel retrieval using band 20(3.7um) and either band 1(0.65um), 2(0.86um), or 5(1.2um) (specified in Quality_Assurance_1km)from best points: not failed in any way, not marked for clear sky restoral
- units: micron
- Parameter_Type: Output
- Cell_Along_Swath_Sampling: 4, 2029, 5
- Cell_Across_Swath_Sampling: 3, 1353, 5
- Geolocation_Pointer: External MODIS geolocation product
- scale_factor: 0.0099999997764825821
- add_offset: 0.0000000000000000

Cloud_Effective_Radius_37_PCL[ Cell_Along_Swath_5km= 0 ..405] [ Cell_Across_Swath_5km= 0 ..270] (Type is Int16)

attributes
- coordinates: Latitude Longitude
- _FillValue: -9999
- valid_range: 0, 10000
- long_name: Cloud Particle Effective Radius two-channel retrieval using band 20(3.7um) and either band 1(0.65um), 2(0.86um), or 5(1.2um) (specified in Quality_Assurance_1km)from points identified as either partly cloudy from 250m cloud mask test or 1km cloud edges
- units: micron
- Parameter_Type: Output
- Cell_Along_Swath_Sampling: 4, 2029, 5
- Cell_Across_Swath_Sampling: 3, 1353, 5
- Geolocation_Pointer: External MODIS geolocation product
- scale_factor: 0.0099999997764825821
- add_offset: 0.0000000000000000

Cloud_Effective_Radius_Uncertainty_16[ Cell_Along_Swath_5km= 0 ..405] [ Cell_Across_Swath_5km= 0 ..270] (Type is Int16)

attributes
- coordinates: Latitude Longitude
- _FillValue: -9999
- valid_range: 0, 20000
- long_name: Cloud Effective Particle Radius (from band 6(1.6um) Relative Uncertainty (Percent)from both best points and points identified as cloud edge at 1km resolution or partly cloudy at 250m
- units: percent
- Parameter_Type: Output
- Cell_Along_Swath_Sampling: 4, 2029, 5
- Cell_Across_Swath_Sampling: 3, 1353, 5
- Geolocation_Pointer: External MODIS geolocation product
- scale_factor: 0.0099999997764825821
- add_offset: 0.0000000000000000

Cloud_Effective_Radius_Uncertainty_37[ Cell_Along_Swath_5km= 0 ..405] [ Cell_Across_Swath_5km= 0 ..270] (Type is Int16)

attributes
- coordinates: Latitude Longitude
- _FillValue: -9999
- valid_range: 0, 20000
- long_name: Cloud Effective Particle Radius (from band 20(3.7um)) Relative Uncertainty (Percent)from both best points and points identified as cloud edge at 1km resolution or partly cloudy at 250m
- units: percent
- Parameter_Type: Output
- Cell_Along_Swath_Sampling: 4, 2029, 5
- Cell_Across_Swath_Sampling: 3, 1353, 5
- Geolocation_Pointer: External MODIS geolocation product
- scale_factor: 0.0099999997764825821
- add_offset: 0.0000000000000000

Cloud_Water_Path_PCL[ Cell_Along_Swath_5km= 0 ..405] [ Cell_Across_Swath_5km= 0 ..270] (Type is Int16)

attributes
- coordinates: Latitude Longitude
- _FillValue: -9999
- valid_range: 0, 10000
- long_name: Column Water Path two-channel retrieval using band 7(2.1um) and either band 1(0.65um), 2(0.86um), or 5(1.2um) (specified in Quality_Assurance_1km)from points identified as either partly cloudy from 250m cloud mask test or 1km cloud edges
- units: g/m^2
- Parameter_Type: Output
- Cell_Along_Swath_Sampling: 4, 2029, 5
- Cell_Across_Swath_Sampling: 3, 1353, 5
- Geolocation_Pointer: External MODIS geolocation product
- scale_factor: 1.0000000000000000
- add_offset: 0.0000000000000000

Cloud_Water_Path_16[ Cell_Along_Swath_5km= 0 ..405] [ Cell_Across_Swath_5km= 0 ..270] (Type is Int16)

attributes
- coordinates: Latitude Longitude
- _FillValue: -9999
- valid_range: 0, 10000
- long_name: Column Water Path two-channel retrieval using band 6(1.6um) and either band 1(0.65um), 2(0.86um), or 5(1.2um) (specified in Quality_Assurance_1km)from best points: not failed in any way, not marked for clear sky restoral
- units: g/m^2
- Parameter_Type: Output
- Cell_Along_Swath_Sampling: 4, 2029, 5
- Cell_Across_Swath_Sampling: 3, 1353, 5
- Geolocation_Pointer: External MODIS geolocation product
- scale_factor: 1.0000000000000000
- add_offset: 0.0000000000000000

Cloud_Water_Path_16_PCL[ Cell_Along_Swath_5km= 0 ..405] [ Cell_Across_Swath_5km= 0 ..270] (Type is Int16)

attributes
- coordinates: Latitude Longitude
- _FillValue: -9999
- valid_range: 0, 10000
- long_name: Column Water Path two-channel retrieval using band 6(1.6um) and either band 1(0.65um), 2(0.86um), or 5(1.2um) (specified in Quality_Assurance_1km)from points identified as either partly cloudy from 250m cloud mask test or 1km cloud edges
- units: g/m^2
- Parameter_Type: Output
- Cell_Along_Swath_Sampling: 4, 2029, 5
- Cell_Across_Swath_Sampling: 3, 1353, 5
- Geolocation_Pointer: External MODIS geolocation product
- scale_factor: 1.0000000000000000
- add_offset: 0.0000000000000000

Cloud_Water_Path_37[ Cell_Along_Swath_5km= 0 ..405] [ Cell_Across_Swath_5km= 0 ..270] (Type is Int16)

attributes
- coordinates: Latitude Longitude
- _FillValue: -9999
- valid_range: 0, 10000
- long_name: Column Water Path two-channel retrieval using band 20(3.7um) and either band 1(0.65um), 2(0.86um), or 5(1.2um) (specified in Quality_Assurance_1km)from best points: not failed in any way, not marked for clear sky restoral
- units: g/m^2
- Parameter_Type: Output
- Cell_Along_Swath_Sampling: 4, 2029, 5
- Cell_Across_Swath_Sampling: 3, 1353, 5
- Geolocation_Pointer: External MODIS geolocation product
- scale_factor: 1.0000000000000000
- add_offset: 0.0000000000000000

Cloud_Water_Path_37_PCL[ Cell_Along_Swath_5km= 0 ..405] [ Cell_Across_Swath_5km= 0 ..270] (Type is Int16)

attributes
- coordinates: Latitude Longitude
- _FillValue: -9999
- valid_range: 0, 10000
- long_name: Column Water Path two-channel retrieval using band 20(3.7um) and either band 1(0.65um), 2(0.86um), or 5(1.2um) (specified in Quality_Assurance_1km)from points identified as either partly cloudy from 250m cloud mask test or 1km cloud edges
- units: g/m^2
- Parameter_Type: Output
- Cell_Along_Swath_Sampling: 4, 2029, 5
- Cell_Across_Swath_Sampling: 3, 1353, 5
- Geolocation_Pointer: External MODIS geolocation product
- scale_factor: 1.0000000000000000
- add_offset: 0.0000000000000000

Cloud_Water_Path_Uncertainty_16[ Cell_Along_Swath_5km= 0 ..405] [ Cell_Across_Swath_5km= 0 ..270] (Type is Int16)

attributes
- coordinates: Latitude Longitude
- _FillValue: -9999
- valid_range: 0, 20000
- long_name: Cloud Water Path Relative Uncertainty (Percent)from both best points and points identified as cloud edge at 1km resolution or partly cloudy at 250m using the VNSWIR-1.6um retrieval
- units: percent
- Parameter_Type: Output
- Cell_Along_Swath_Sampling: 4, 2029, 5
- Cell_Across_Swath_Sampling: 3, 1353, 5
- Geolocation_Pointer: External MODIS geolocation product
- scale_factor: 0.0099999997764825821
- add_offset: 0.0000000000000000

Cloud_Water_Path_Uncertainty_37[ Cell_Along_Swath_5km= 0 ..405] [ Cell_Across_Swath_5km= 0 ..270] (Type is Int16)

attributes
- coordinates: Latitude Longitude
- _FillValue: -9999
- valid_range: 0, 20000
- long_name: Cloud Water Path Relative Uncertainty (Percent)from both best points and points identified as cloud edge at 1km resolution or partly cloudy at 250m using the VNSWIR-3.7um retrieval
- units: percent
- Parameter_Type: Output
- Cell_Along_Swath_Sampling: 4, 2029, 5
- Cell_Across_Swath_Sampling: 3, 1353, 5
- Geolocation_Pointer: External MODIS geolocation product
- scale_factor: 0.0099999997764825821
- add_offset: 0.0000000000000000

Cloud_Top_Pressure_1km[ Cell_Along_Swath_5km= 0 ..405] [ Cell_Across_Swath_5km= 0 ..270] (Type is Int16)

attributes
- coordinates: Latitude Longitude
- _FillValue: -999
- valid_range: 10, 11000
- long_name: Cloud Top Pressure at 1-km resolution from LEOCAT, Cloud Top Pressure Level rounded to nearest 5 mb
- units: hPa
- Parameter_Type: Output
- Cell_Along_Swath_Sampling: 4, 2029, 5
- Cell_Across_Swath_Sampling: 3, 1353, 5
- Geolocation_Pointer: External MODIS geolocation product
- scale_factor: 0.10000000149011612
- add_offset: 0.0000000000000000

Cloud_Top_Temperature_1km[ Cell_Along_Swath_5km= 0 ..405] [ Cell_Across_Swath_5km= 0 ..270] (Type is Int16)

attributes
- coordinates: Latitude Longitude
- _FillValue: -999
- valid_range: 0, 20000
- long_name: Cloud Top Temperature at 1-km resolution from LEOCAT, Temperature from Ancillary Data at Retrieved Cloud Top Pressure Level
- units: K
- Parameter_Type: Output
- Cell_Along_Swath_Sampling: 4, 2029, 5
- Cell_Across_Swath_Sampling: 3, 1353, 5
- Geolocation_Pointer: External MODIS geolocation product
- scale_factor: 0.0099999997764825821
- add_offset: 149.99999664723873

Cloud_Top_Height_1km[ Cell_Along_Swath_5km= 0 ..405] [ Cell_Across_Swath_5km= 0 ..270] (Type is Int16)

attributes
- coordinates: Latitude Longitude
- _FillValue: -999
- valid_range: 0, 18000
- long_name: Cloud Top Height at 1-km resolution from LEOCAT, Geopotential Height at Retrieved Cloud Top Pressure Level rounded to nearest 50 m
- units: meters
- Parameter_Type: Output
- Cell_Along_Swath_Sampling: 4, 2029, 5
- Cell_Across_Swath_Sampling: 3, 1353, 5
- Geolocation_Pointer: External MODIS geolocation product
- scale_factor: 1.0000000000000000
- add_offset: 0.0000000000000000

Surface_Temperature_1km[ Cell_Along_Swath_5km= 0 ..405] [ Cell_Across_Swath_5km= 0 ..270] (Type is Int16)

attributes
- coordinates: Latitude Longitude
- _FillValue: -999
- valid_range: 0, 20000
- long_name: Surface Temperature for Each 1-km MODIS Pixel Interplated from Ancillary Data
- units: K
- Parameter_Type: Non MODIS Input
- Cell_Along_Swath_Sampling: 4, 2029, 5
- Cell_Across_Swath_Sampling: 3, 1353, 5
- Geolocation_Pointer: External MODIS geolocation product
- scale_factor: 0.0099999997764825821
- add_offset: 149.99999664723873

OS_Top_Flag_1km[ Cell_Along_Swath_5km= 0 ..405] [ Cell_Across_Swath_5km= 0 ..270] (Type is Int32)

attributes
- coordinates: Latitude Longitude
- _FillValue: 127
- valid_range: 0, 2
- long_name: Upper Tropospheric/Lower Stratospheric (UTLS) Cloud Flag at 1-km resolution - valid from -50 to +50 Degrees Latitude
- units: none
- Parameter_Type: Output
- Cell_Along_Swath_Sampling: 4, 2029, 5
- Cell_Across_Swath_Sampling: 3, 1353, 5
- Geolocation_Pointer: External geolocation arrays
- description: \n The values in this SDS indicate the following: 0 -- stratospheric cloud test not performed 1 -- stratospheric cloud not indicated 2 -- stratospheric cloud indicated (BTD35-33 > 0.5K)
- scale_factor: 1.0000000000000000
- add_offset: 0.0000000000000000

Cloud_Mask_SPI[ Cell_Along_Swath_5km= 0 ..405] [ Cell_Across_Swath_5km= 0 ..270] [ SPI_nband= 0 ..1] (Type is Int16)

attributes
- coordinates: Latitude Longitude SPI_nband
- _FillValue: -9999
- valid_range: 0, 20000
- long_name: Dispersion in bands 1 (plane 1) and 2 (plane 2) from 250m reflectance statistics of cloud mask
- units: percent
- Parameter_Type: Output
- Cell_Along_Swath_Sampling: 4, 2029, 5
- Cell_Across_Swath_Sampling: 3, 1353, 5
- Geolocation_Pointer: External MODIS geolocation product
- scale_factor: 0.0099999997764825821
- add_offset: 0.0000000000000000

Cloud_Multi_Layer_Flag[ Cell_Along_Swath_5km= 0 ..405] [ Cell_Across_Swath_5km= 0 ..270] (Type is Int32)

attributes
- coordinates: Latitude Longitude
- _FillValue: 0
- valid_range: 0, 9
- long_name: Cloud Multi Layer Identification From MODIS Shortwave Observations
- units: none
- Parameter_Type: Output
- Cell_Along_Swath_Sampling: 4, 2029, 5
- Cell_Across_Swath_Sampling: 3, 1353, 5
- Geolocation_Pointer: External MODIS geolocation product
- description: \n Flag for multi-layer multi-phase cloud situations. Values 2 through 9 indicate the success of various multi-layer cloud tests. Value of 0 indicates no retrieval, value of 1 indicates single layer cloud. The other values are of increasing confidence level.
- scale_factor: 1.0000000000000000
- add_offset: 0.0000000000000000

Cloud_Phase_Infrared_1km[ Cell_Along_Swath_5km= 0 ..405] [ Cell_Across_Swath_5km= 0 ..270] (Type is Int32)

attributes
- coordinates: Latitude Longitude
- _FillValue: 127
- valid_range: 0, 6
- long_name: Cloud Phase at 1-km resolution from 8.5- 11 um BTDs and cloud emissivity ratios (12/11, 8.5/11, and 7.2/11 um)
- units: none
- Parameter_Type: Output
- Cell_Along_Swath_Sampling: 4, 2029, 5
- Cell_Across_Swath_Sampling: 3, 1353, 5
- Geolocation_Pointer: External geolocation arrays
- description: \n The values in this SDS indicate the following cloud phase: 0 -- cloud free 1 -- water cloud 2 -- ice cloud 3 -- mixed phase cloud 6 -- undetermined phase
- scale_factor: 1.0000000000000000
- add_offset: 0.0000000000000000

Cloud_Top_Height[ Cell_Along_Swath_5km= 0 ..405] [ Cell_Across_Swath_5km= 0 ..270] (Type is Int16)

attributes
- coordinates: Latitude Longitude
- _FillValue: -32767
- valid_range: 0, 18000
- long_name: Geopotential Height at Retrieved Cloud Top Pressure Level (rounded to nearest 50 m)
- units: meters
- Parameter_Type: Output
- Cell_Along_Swath_Sampling: 3, 2028, 5
- Cell_Across_Swath_Sampling: 3, 1348, 5
- Geolocation_Pointer: Internal geolocation arrays
- scale_factor: 1.0000000000000000
- add_offset: 0.0000000000000000

Cloud_Height_Method[ Cell_Along_Swath_5km= 0 ..405] [ Cell_Across_Swath_5km= 0 ..270] (Type is Int32)

attributes
- coordinates: Latitude Longitude
- _FillValue: 127
- valid_range: 1, 6
- long_name: Index Indicating MODIS Bands Used for Cloud Top Pressure Retrieval
- units: none
- Parameter_Type: Output
- Cell_Along_Swath_Sampling: 3, 2028, 5
- Cell_Across_Swath_Sampling: 3, 1348, 5
- Geolocation_Pointer: Internal geolocation arrays
- description: \n The values in this SDS are set to mean the following: 1 -- CO2-slicing retrieval, bands 36/35 2 -- CO2-slicing retrieval, bands 35/34 3 -- CO2-slicing retrieval, bands 35/33 4 -- CO2-slicing retrieval, bands 34/33 6 -- IR-window retrieval, band 31
- scale_factor: 1.0000000000000000
- add_offset: 0.0000000000000000

Infrared_obs_minus_calc[ Band_Forcing= 0 ..4] [ Cell_Along_Swath_5km= 0 ..405] [ Cell_Across_Swath_5km= 0 ..270] (Type is Int16)

attributes
- coordinates: Band_Forcing Latitude Longitude
- _FillValue: -32768
- valid_range: -2000, 2000
- long_name: Spectral Cloud Forcing (cloud minus clear radiance)
- units: Watts/meter2/steradian/micron
- Parameter_Type: Output
- Cell_Along_Swath_Sampling: 3, 2028, 5
- Cell_Across_Swath_Sampling: 3, 1348, 5
- Geolocation_Pointer: Internal geolocation arrays
- description: \n Spectral cloud forcing, cloudy-clear radiance, each channel in order: 36, 35, 34, 33 and 31 for Band_Forcing dimension reference
- scale_factor: 0.0099999997764825821
- add_offset: 0.0000000000000000

Cloud_Optical_Thickness_1621_PCL[ Cell_Along_Swath_5km= 0 ..405] [ Cell_Across_Swath_5km= 0 ..270] (Type is Int16)

attributes
- coordinates: Latitude Longitude
- _FillValue: -9999
- valid_range: 0, 10000
- long_name: Cloud Optical Thickness two-channel retrieval using band 7(2.1um) and band 6(1.6um)from points identified as either partly cloudy from 250m cloud mask test or 1km cloud edges
- units: none
- Parameter_Type: Output
- Cell_Along_Swath_Sampling: 4, 2029, 5
- Cell_Across_Swath_Sampling: 3, 1353, 5
- Geolocation_Pointer: External MODIS geolocation product
- scale_factor: 0.0099999997764825821
- add_offset: 0.0000000000000000

Cloud_Effective_Radius_1621_PCL[ Cell_Along_Swath_5km= 0 ..405] [ Cell_Across_Swath_5km= 0 ..270] (Type is Int16)

attributes
- coordinates: Latitude Longitude
- _FillValue: -9999
- valid_range: 0, 10000
- long_name: Cloud Particle Effective Radius two-channel retrieval using band 7(2.1um) and band 6(1.6um)from points identified as either partly cloudy from 250m cloud mask test or 1km cloud edges
- units: micron
- Parameter_Type: Output
- Cell_Along_Swath_Sampling: 4, 2029, 5
- Cell_Across_Swath_Sampling: 3, 1353, 5
- Geolocation_Pointer: External MODIS geolocation product
- scale_factor: 0.0099999997764825821
- add_offset: 0.0000000000000000

Cloud_Water_Path_1621_PCL[ Cell_Along_Swath_5km= 0 ..405] [ Cell_Across_Swath_5km= 0 ..270] (Type is Int16)

attributes
- coordinates: Latitude Longitude
- _FillValue: -9999
- valid_range: 0, 10000
- long_name: Column Water Path two-channel retrieval using band 7(2.1um) and band 6(1.6um)from points identified as either partly cloudy from 250m cloud mask test or 1km cloud edges
- units: g/m^2
- Parameter_Type: Output
- Cell_Along_Swath_Sampling: 4, 2029, 5
- Cell_Across_Swath_Sampling: 3, 1353, 5
- Geolocation_Pointer: External MODIS geolocation product
- scale_factor: 1.0000000000000000
- add_offset: 0.0000000000000000

Retrieval_Failure_Metric[ Cell_Along_Swath_5km= 0 ..405] [ Cell_Across_Swath_5km= 0 ..270] [ RFM_nband= 0 ..2] (Type is Int16)

attributes
- coordinates: Latitude Longitude RFM_nband
- _FillValue: -9999
- valid_range: 0, 20000
- long_name: Retrievals and other information for points that failed to retrievevia standard solution logic for retrieval using band 7 and either band 1, 2, or 5 (specified in Quality_Assurance_1km)
- units: by plane in order: 1-none, 2-micron, 3-percent
- Parameter_Type: Output
- Cell_Along_Swath_Sampling: 4, 2029, 5
- Cell_Across_Swath_Sampling: 3, 1353, 5
- Geolocation_Pointer: External MODIS geolocation product
- description: \n The individual planes in this SDS are set to contain the following: 1 -- Cloud Optical Thickness 2 -- Cloud Effective Radius 3 -- Relative distance of failed retrieval from the library space as percentage of reflectance
- scale_factor: 0.0099999997764825821
- add_offset: 0.0000000000000000

Retrieval_Failure_Metric_16[ Cell_Along_Swath_5km= 0 ..405] [ Cell_Across_Swath_5km= 0 ..270] [ RFM_nband= 0 ..2] (Type is Int16)

attributes
- coordinates: Latitude Longitude RFM_nband
- _FillValue: -9999
- valid_range: 0, 20000
- long_name: Retrievals and other information for points that failed to retrievevia standard solution logic for retrieval using band 6 and either band 1, 2, or 5 (specified in Quality_Assurance_1km)
- units: by plane in order: 1-none, 2-micron, 3-percent
- Parameter_Type: Output
- Cell_Along_Swath_Sampling: 4, 2029, 5
- Cell_Across_Swath_Sampling: 3, 1353, 5
- Geolocation_Pointer: External MODIS geolocation product
- description: \n The individual planes in this SDS are set to contain the following: 1 -- Cloud Optical Thickness 2 -- Cloud Effective Radius 3 -- Relative distance of failed retrieval from the library space as percentage of reflectance
- scale_factor: 0.0099999997764825821
- add_offset: 0.0000000000000000

Retrieval_Failure_Metric_37[ Cell_Along_Swath_5km= 0 ..405] [ Cell_Across_Swath_5km= 0 ..270] [ RFM_nband= 0 ..2] (Type is Int16)

attributes
- coordinates: Latitude Longitude RFM_nband
- _FillValue: -9999
- valid_range: 0, 20000
- long_name: Retrievals and other information for points that failed to retrievevia standard solution logic for retrieval using band 20 and either band 1, 2, or 5 (specified in Quality_Assurance_1km)
- units: by plane in order: 1-none, 2-micron, 3-percent
- Parameter_Type: Output
- Cell_Along_Swath_Sampling: 4, 2029, 5
- Cell_Across_Swath_Sampling: 3, 1353, 5
- Geolocation_Pointer: External MODIS geolocation product
- description: \n The individual planes in this SDS are set to contain the following: 1 -- Cloud Optical Thickness 2 -- Cloud Effective Radius 3 -- Relative distance of failed retrieval from the library space as percentage of reflectance
- scale_factor: 0.0099999997764825821
- add_offset: 0.0000000000000000

Retrieval_Failure_Metric_1621[ Cell_Along_Swath_5km= 0 ..405] [ Cell_Across_Swath_5km= 0 ..270] [ RFM_nband= 0 ..2] (Type is Int16)

attributes
- coordinates: Latitude Longitude RFM_nband
- _FillValue: -9999
- valid_range: 0, 20000
- long_name: Retrievals and other information for points that failed to retrievevia standard solution logic for retrieval using band 6 and band 7
- units: by plane in order: 1-none, 2-micron, 3-percent
- Parameter_Type: Output
- Cell_Along_Swath_Sampling: 4, 2029, 5
- Cell_Across_Swath_Sampling: 3, 1353, 5
- Geolocation_Pointer: External MODIS geolocation product
- description: \n The individual planes in this SDS are set to contain the following: 1 -- Cloud Optical Thickness 2 -- Cloud Effective Radius 3 -- Relative distance of failed retrieval from the library space as percentage of reflectance
- scale_factor: 0.0099999997764825821
- add_offset: 0.0000000000000000

Latitude[ Cell_Along_Swath_5km= 0 ..405] [ Cell_Across_Swath_5km= 0 ..270] (Type is Float32)

attributes
- units: degrees_north
- long_name: Latitude
- _FillValue: -999.0000000
- valid_range: -90.00000000, 90.00000000

Longitude[ Cell_Along_Swath_5km= 0 ..405] [ Cell_Across_Swath_5km= 0 ..270] (Type is Float32)

attributes
- units: degrees_east
- long_name: Longitude
- _FillValue: -999.0000000
- valid_range: -180.0000000, 180.0000000

QA_Parameter_5km[ QA_Parameter_5km= 0 ..8] (Type is Int32)

attributes
- units: level
- long_name: QA_Parameter_5km(fake)

Byte_Segment[ Byte_Segment= 0 ..0] (Type is Int32)

attributes
- units: level
- long_name: Byte_Segment(fake)

QA_Byte_Land[ QA_Byte_Land= 0 ..5] (Type is Int32)

attributes
- units: level
- long_name: QA_Byte_Land(fake)

QA_Byte_Ocean[ QA_Byte_Ocean= 0 ..4] (Type is Int32)

attributes
- units: level
- long_name: QA_Byte_Ocean(fake)

Num_DeepBlue_Wavelengths[ Num_DeepBlue_Wavelengths= 0 ..2] (Type is Int32)

attributes
- units: level
- long_name: Num_DeepBlue_Wavelengths(fake)

SPI_nband[ SPI_nband= 0 ..1] (Type is Int32)

attributes
- units: level
- long_name: SPI_nband(fake)

Band_Forcing[ Band_Forcing= 0 ..4] (Type is Int32)

attributes
- units: level
- long_name: Band_Forcing(fake)

RFM_nband[ RFM_nband= 0 ..2] (Type is Int32)

attributes
- units: level
- long_name: RFM_nband(fake)

Actions
Data URL

Global Attributes	CoreMetadata INVENTORYMETADATA GROUPTYPE: MASTERGROUP ECSDATAGRANULE REPROCESSINGPLANNED NUM_VAL: 1 VALUE: "further update is anticipated" REPROCESSINGACTUAL NUM_VAL: 1 VALUE: "processed once" LOCALGRANULEID NUM_VAL: 1 VALUE: "MYDATML2.A2011295.0915.061.2018034055656.hdf" DAYNIGHTFLAG NUM_VAL: 1 VALUE: "Day" PRODUCTIONDATETIME NUM_VAL: 1 VALUE: "2018-02-03T05:56:56.000Z" LOCALVERSIONID NUM_VAL: 1 VALUE: "061" MEASUREDPARAMETER MEASUREDPARAMETERCONTAINER CLASS: "1", "2" PARAMETERNAME NUM_VAL: 1, 1 CLASS: "1", "2" VALUE: "Cloud_Top_Pressure", "Corrected_Optical_Depth_Land" QAFLAGS CLASS: "1", "2" AUTOMATICQUALITYFLAG NUM_VAL: 1, 1 CLASS: "1", "2" VALUE: "Passed", "Suspect" AUTOMATICQUALITYFLAGEXPLANATION NUM_VAL: 1, 1 CLASS: "1", "2" VALUE: "Passed: >10% useable; Failed: <10% useable", "FurtherInvestigationNeeded" SCIENCEQUALITYFLAG NUM_VAL: 1, 1 VALUE: "Not Investigated", "Not Investigated" CLASS: "1", "2" SCIENCEQUALITYFLAGEXPLANATION NUM_VAL: 1, 1 VALUE: "See http://modis-atmos.gsfc.nasa.gov/validation.html for more details on MODIS Atmosphere data quality.", "See http://modis-atmos.gsfc.nasa.gov/validation.html for more details on MODIS Atmosphere data quality." CLASS: "1", "2" QASTATS CLASS: "1", "2" QAPERCENTMISSINGDATA NUM_VAL: 1, 1 CLASS: "1", "2" VALUE: 15, 100 ORBITCALCULATEDSPATIALDOMAIN ORBITCALCULATEDSPATIALDOMAINCONTAINER CLASS: "1" ORBITNUMBER NUM_VAL: 1 CLASS: "1" VALUE: 50359 EQUATORCROSSINGLONGITUDE NUM_VAL: 1 CLASS: "1" VALUE: -107.84309325616 EQUATORCROSSINGTIME NUM_VAL: 1 CLASS: "1" VALUE: "08:46:17.304533" EQUATORCROSSINGDATE NUM_VAL: 1 CLASS: "1" VALUE: "2011-10-22" COLLECTIONDESCRIPTIONCLASS SHORTNAME NUM_VAL: 1 VALUE: "MYDATML2" VERSIONID NUM_VAL: 1 VALUE: 61 INPUTGRANULE INPUTPOINTER NUM_VAL: 30 VALUE: "MYD03.A2011295.0915.061.2018032161253.hdf", "MYD04_L2.A2011295.0915.061.2018034053114.hdf", "MYD05_L2.A2011295.0915.061.2018034052802.hdf", "MYD06_L2.A2011295.0915.061.2018034055636.hdf", "MYD07_L2.A2011295.0915.061.2018034010746.hdf", " MYD35_L2.A2011295.0915.061.2018034010727.hdf" SPATIALDOMAINCONTAINER HORIZONTALSPATIALDOMAINCONTAINER BOUNDINGRECTANGLE WESTBOUNDINGCOORDINATE NUM_VAL: 1 VALUE: 53.1878138350537 NORTHBOUNDINGCOORDINATE NUM_VAL: 1 VALUE: -52.61337757423 EASTBOUNDINGCOORDINATE NUM_VAL: 1 VALUE: 118.029715267818 SOUTHBOUNDINGCOORDINATE NUM_VAL: 1 VALUE: -75.8765205161451 RANGEDATETIME RANGEBEGINNINGDATE NUM_VAL: 1 VALUE: "2011-10-22" RANGEBEGINNINGTIME NUM_VAL: 1 VALUE: "09:15:00.000000" RANGEENDINGDATE NUM_VAL: 1 VALUE: "2011-10-22" RANGEENDINGTIME NUM_VAL: 1 VALUE: "09:20:00.000000" PGEVERSIONCLASS PGEVERSION NUM_VAL: 1 VALUE: "6.1.0" ANCILLARYINPUTGRANULE ANCILLARYINPUTGRANULECONTAINER CLASS: "1" ANCILLARYINPUTTYPE NUM_VAL: 1 CLASS: "1" VALUE: "Geolocation" ANCILLARYINPUTPOINTER NUM_VAL: 1 CLASS: "1" VALUE: "MYD03.A2011295.0915.061.2018032161253.hdf" ASSOCIATEDPLATFORMINSTRUMENTSENSOR ASSOCIATEDPLATFORMINSTRUMENTSENSORCONTAINER CLASS: "1" ASSOCIATEDSENSORSHORTNAME CLASS: "1" NUM_VAL: 1 VALUE: "MODIS" ASSOCIATEDPLATFORMSHORTNAME CLASS: "1" NUM_VAL: 1 VALUE: "Aqua" ASSOCIATEDINSTRUMENTSHORTNAME CLASS: "1" NUM_VAL: 1 VALUE: "MODIS" ADDITIONALATTRIBUTES ADDITIONALATTRIBUTESCONTAINER CLASS: "1", "2", "3", "4", "5", "6", "7", "8", "9", "10", "11", "12", "13", "14", "15", "16", "17", "18", "19", "20", "21", "22", "23", "24", "25", "26", "27", "28", "29" ADDITIONALATTRIBUTENAME CLASS: "1", "2", "3", "4", "5", "6", "7", "8", "9", "10", "11", "12", "13", "14", "15", "16", "17", "18", "19", "20", "21", "22", "23", "24", "25", "26", "27", "28", "29" NUM_VAL: 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1 VALUE: "SuccessfulRetrievalPct", "DayProcessedPct", "NightProcessedPct", "LandProcessedPct", "WaterProcessedPct", "Snow_IceSurfaceProcessedPct", "ShadowFoundPct", "SunglintProcessedPct", "NonCloudObstructionFoundPct", "MaxSolarZenithAngle", "MinSolarZenithAngle", "VeryHighConfidentClearPct", "HighConfidentClearPct", "UncertainConfidentClearPct", "LowConfidentClearPct", "ThinCirrusSolarFoundPct", "ThinCirrusIR_FoundPct", "SuccessfulRetrievalPct_Land", "SuccessfulRetrievalPct_Ocean", "SuccessfulRetrievalPct_NIR", "SuccessfulRetrievalPct_IR", "SuccessCloudTopPropRtrPct_IR", "SuccessCloudPhaseRtrPct_IR", "SuccessCloudOptPropRtrPct_VIS", "CloudCoverFractionPct_VIS", "WaterCloudDetectedPct_VIS", "IceCloudDetectedPct_VIS", "identifier_product_doi", "identifier_product_doi_authority" INFORMATIONCONTENT CLASS: "1", "2", "3", "4", "5", "6", "7", "8", "9", "10", "11", "12", "13", "14", "15", "16", "17", "18", "19", "20", "21", "22", "23", "24", "25", "26", "27", "28", "29" PARAMETERVALUE NUM_VAL: 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1 CLASS: "1", "2", "3", "4", "5", "6", "7", "8", "9", "10", "11", "12", "13", "14", "15", "16", "17", "18", "19", "20", "21", "22", "23", "24", "25", "26", "27", "28", "29" VALUE: " 100.00", " 100.00", " 0.00", " 33.89", " 66.11", " 35.21", " 0.00", " 0.00", " 0.11", " 76.20", " 49.44", " 15.74", " 1.63", " 10.82", " 71.81", " 3.25", " 4.65", " 0.00", " 0.98", " 100.00", " 19.28", " 84.72", " 84.03", " 0.00", " 0.00", " 0.00", " 0.00", "10.5067/MODIS/MYDATML2.061", "http://dx.doi.org" ArchiveMetadata ARCHIVEDMETADATA GROUPTYPE: MASTERGROUP PROCESSINGENVIRONMENT NUM_VAL: 1 VALUE: "Linux minion7285 3.10.0-693.11.6.el7.x86_64 #1 SMP Thu Jan 4 01:06:37 UTC 2018 x86_64 x86_64 x86_64 GNU/Linux" LONGNAME NUM_VAL: 1 VALUE: "MODIS/Aqua Aerosol, Cloud and Water Vapor Subset 5-Min L2 Swath 5km and 10km" INSTRUMENTNAME NUM_VAL: 1 VALUE: "Moderate Resolution Imaging Spectroradiometer" GPOLYGON GPOLYGONCONTAINER CLASS: "1" GRING CLASS: "1" EXCLUSIONGRINGFLAG NUM_VAL: 1 CLASS: "1" VALUE: "N" GRINGPOINT CLASS: "1" GRINGPOINTLONGITUDE NUM_VAL: 4 CLASS: "1" VALUE: 118.031598743541, 51.8833752179691, 56.4661646267398, 94.2861362693158 GRINGPOINTLATITUDE NUM_VAL: 4 CLASS: "1" VALUE: -66.2945769862017, -75.6403097009186, -57.5473615292079, -52.3934240474351 GRINGPOINTSEQUENCENO NUM_VAL: 4 CLASS: "1" VALUE: 1, 2, 3, 4 DESCRREVISION NUM_VAL: 1 VALUE: "6.1" PRODUCTIONHISTORY NUM_VAL: 1 VALUE: "PGE83:6.1.0" HDF_GLOBAL HDFEOSVersion: HDFEOS_V2.19 identifier_product_doi: 10.5067/MODIS/MYDATML2.061 identifier_product_doi_authority: http://dx.doi.org atml2_Swath_Attributes__FV_Deep_Blue_Aerosol_Optical_Depth_550_Land_Estimated_Uncertain Vdata_field_AttrValues: -9999

Variables	Cloud_Optical_Thickness[ Cell_Along_Swath_5km= 0 ..405] [ Cell_Across_Swath_5km= 0 ..270] (Type is Int16) attributes coordinates: Latitude Longitude long_name: Cloud Optical Thickness two-channel retrieval using band 7(2.1um) and either band 1(0.65um), 2(0.86um), or 5(1.2um) from best points: not failed in any way, not marked for clear sky restoral units: none valid_range: 0, 10000 _FillValue: -9999 Parameter_Type: Output Cell_Along_Swath_Sampling: 4, 2029, 5 Cell_Across_Swath_Sampling: 3, 1348, 5 Geolocation_Pointer: External MODIS geolocation product _1_km_to_5_km_subsampling_description: Each value in this dataset does not represent an average of properties over a 5 x 5 km grid box, but rather a single sample from within each 5 km box. Normally, pixels in across-track rows 4 and 9 (counting in the direction of increasing scan number) out of every set of 10 rows are used for subsampling the 1 km retrievals to a 5 km resolution. If the array contents are determined to be all fill values after selecting the default pixel subset (e.g., from failed detectors), a different pair of pixel rows is used to perform the subsampling. Note that 5 km data sets are centered on rows 3 and 8; the default sampling choice of 4 and 9 is for better data quality and avoidance of dead detectors on Aqua. The row pair used for the 1 km sample is always given by the first number and last digit of the second number of the attribute Cell_Along_Swath_Sampling. The attribute Cell_Across_Swath_Sampling indicates that columns 3 and 8 are used, as they always are, for across-track sampling. Again these values are to be interpreted counting in the direction of the scan, from 1 through 10 inclusively. For example, if the value of attribute Cell_Along_Swath_Sampling is 3, 2028, 5, then the third and eighth pixel rows were used for subsampling. A value of 4, 2029, 5 indicates that the default fourth and ninth rows pair was used. source_info: MYD06_L2.A2011295.0915.061.2018034055636.hdf pge06v6.1.4 Cloud_Optical_Thickness scale_factor: 0.0099999997764825821 add_offset: 0.0000000000000000 Cloud_Effective_Radius[ Cell_Along_Swath_5km= 0 ..405] [ Cell_Across_Swath_5km= 0 ..270] (Type is Int16) attributes coordinates: Latitude Longitude long_name: Cloud Particle Effective Radius two-channel retrieval using band 7(2.1um) and either band 1(0.65um), 2(0.86um), or 5(1.2um) from best points: not failed in any way, not marked for clear sky restoral units: micron valid_range: 0, 10000 _FillValue: -9999 Parameter_Type: Output Cell_Along_Swath_Sampling: 4, 2029, 5 Cell_Across_Swath_Sampling: 3, 1348, 5 Geolocation_Pointer: External MODIS geolocation product _1_km_to_5_km_subsampling_description: Each value in this dataset does not represent an average of properties over a 5 x 5 km grid box, but rather a single sample from within each 5 km box. Normally, pixels in across-track rows 4 and 9 (counting in the direction of increasing scan number) out of every set of 10 rows are used for subsampling the 1 km retrievals to a 5 km resolution. If the array contents are determined to be all fill values after selecting the default pixel subset (e.g., from failed detectors), a different pair of pixel rows is used to perform the subsampling. Note that 5 km data sets are centered on rows 3 and 8; the default sampling choice of 4 and 9 is for better data quality and avoidance of dead detectors on Aqua. The row pair used for the 1 km sample is always given by the first number and last digit of the second number of the attribute Cell_Along_Swath_Sampling. The attribute Cell_Across_Swath_Sampling indicates that columns 3 and 8 are used, as they always are, for across-track sampling. Again these values are to be interpreted counting in the direction of the scan, from 1 through 10 inclusively. For example, if the value of attribute Cell_Along_Swath_Sampling is 3, 2028, 5, then the third and eighth pixel rows were used for subsampling. A value of 4, 2029, 5 indicates that the default fourth and ninth rows pair was used. source_info: MYD06_L2.A2011295.0915.061.2018034055636.hdf pge06v6.1.4 Cloud_Effective_Radius scale_factor: 0.0099999997764825821 add_offset: 0.0000000000000000 Cloud_Water_Path[ Cell_Along_Swath_5km= 0 ..405] [ Cell_Across_Swath_5km= 0 ..270] (Type is Int16) attributes coordinates: Latitude Longitude long_name: Column Water Path two-channel retrieval using band 7(2.1um) and either band 1(0.65um), 2(0.86um), or 5(1.2um)from best points: not failed in any way, not marked for clear sky restoral units: g/m^2 valid_range: 0, 10000 _FillValue: -9999 Parameter_Type: Output Cell_Along_Swath_Sampling: 4, 2029, 5 Cell_Across_Swath_Sampling: 3, 1348, 5 Geolocation_Pointer: External MODIS geolocation product _1_km_to_5_km_subsampling_description: Each value in this dataset does not represent an average of properties over a 5 x 5 km grid box, but rather a single sample from within each 5 km box. Normally, pixels in across-track rows 4 and 9 (counting in the direction of increasing scan number) out of every set of 10 rows are used for subsampling the 1 km retrievals to a 5 km resolution. If the array contents are determined to be all fill values after selecting the default pixel subset (e.g., from failed detectors), a different pair of pixel rows is used to perform the subsampling. Note that 5 km data sets are centered on rows 3 and 8; the default sampling choice of 4 and 9 is for better data quality and avoidance of dead detectors on Aqua. The row pair used for the 1 km sample is always given by the first number and last digit of the second number of the attribute Cell_Along_Swath_Sampling. The attribute Cell_Across_Swath_Sampling indicates that columns 3 and 8 are used, as they always are, for across-track sampling. Again these values are to be interpreted counting in the direction of the scan, from 1 through 10 inclusively. For example, if the value of attribute Cell_Along_Swath_Sampling is 3, 2028, 5, then the third and eighth pixel rows were used for subsampling. A value of 4, 2029, 5 indicates that the default fourth and ninth rows pair was used. source_info: MYD06_L2.A2011295.0915.061.2018034055636.hdf pge06v6.1.4 Cloud_Water_Path scale_factor: 1.0000000000000000 add_offset: 0.0000000000000000 Cloud_Optical_Thickness_1621[ Cell_Along_Swath_5km= 0 ..405] [ Cell_Across_Swath_5km= 0 ..270] (Type is Int16) attributes coordinates: Latitude Longitude long_name: Cloud Optical Thickness two-channel retrieval using band 7(2.1um) and band 6(1.6um)from best points: not failed in any way, not marked for clear sky restoral units: none valid_range: 0, 10000 _FillValue: -9999 Parameter_Type: Output Cell_Along_Swath_Sampling: 4, 2029, 5 Cell_Across_Swath_Sampling: 3, 1348, 5 Geolocation_Pointer: External MODIS geolocation product _1_km_to_5_km_subsampling_description: Each value in this dataset does not represent an average of properties over a 5 x 5 km grid box, but rather a single sample from within each 5 km box. Normally, pixels in across-track rows 4 and 9 (counting in the direction of increasing scan number) out of every set of 10 rows are used for subsampling the 1 km retrievals to a 5 km resolution. If the array contents are determined to be all fill values after selecting the default pixel subset (e.g., from failed detectors), a different pair of pixel rows is used to perform the subsampling. Note that 5 km data sets are centered on rows 3 and 8; the default sampling choice of 4 and 9 is for better data quality and avoidance of dead detectors on Aqua. The row pair used for the 1 km sample is always given by the first number and last digit of the second number of the attribute Cell_Along_Swath_Sampling. The attribute Cell_Across_Swath_Sampling indicates that columns 3 and 8 are used, as they always are, for across-track sampling. Again these values are to be interpreted counting in the direction of the scan, from 1 through 10 inclusively. For example, if the value of attribute Cell_Along_Swath_Sampling is 3, 2028, 5, then the third and eighth pixel rows were used for subsampling. A value of 4, 2029, 5 indicates that the default fourth and ninth rows pair was used. source_info: MYD06_L2.A2011295.0915.061.2018034055636.hdf pge06v6.1.4 Cloud_Optical_Thickness_1621 scale_factor: 0.0099999997764825821 add_offset: 0.0000000000000000 Cloud_Effective_Radius_1621[ Cell_Along_Swath_5km= 0 ..405] [ Cell_Across_Swath_5km= 0 ..270] (Type is Int16) attributes coordinates: Latitude Longitude long_name: Cloud Particle Effective Radius two-channel retrieval using band 7(2.1um) and band 6(1.6um)from best points: not failed in any way, not marked for clear sky restoral units: micron valid_range: 0, 10000 _FillValue: -9999 Parameter_Type: Output Cell_Along_Swath_Sampling: 4, 2029, 5 Cell_Across_Swath_Sampling: 3, 1348, 5 Geolocation_Pointer: External MODIS geolocation product _1_km_to_5_km_subsampling_description: Each value in this dataset does not represent an average of properties over a 5 x 5 km grid box, but rather a single sample from within each 5 km box. Normally, pixels in across-track rows 4 and 9 (counting in the direction of increasing scan number) out of every set of 10 rows are used for subsampling the 1 km retrievals to a 5 km resolution. If the array contents are determined to be all fill values after selecting the default pixel subset (e.g., from failed detectors), a different pair of pixel rows is used to perform the subsampling. Note that 5 km data sets are centered on rows 3 and 8; the default sampling choice of 4 and 9 is for better data quality and avoidance of dead detectors on Aqua. The row pair used for the 1 km sample is always given by the first number and last digit of the second number of the attribute Cell_Along_Swath_Sampling. The attribute Cell_Across_Swath_Sampling indicates that columns 3 and 8 are used, as they always are, for across-track sampling. Again these values are to be interpreted counting in the direction of the scan, from 1 through 10 inclusively. For example, if the value of attribute Cell_Along_Swath_Sampling is 3, 2028, 5, then the third and eighth pixel rows were used for subsampling. A value of 4, 2029, 5 indicates that the default fourth and ninth rows pair was used. source_info: MYD06_L2.A2011295.0915.061.2018034055636.hdf pge06v6.1.4 Cloud_Effective_Radius_1621 scale_factor: 0.0099999997764825821 add_offset: 0.0000000000000000 Cloud_Water_Path_1621[ Cell_Along_Swath_5km= 0 ..405] [ Cell_Across_Swath_5km= 0 ..270] (Type is Int16) attributes coordinates: Latitude Longitude long_name: Column Water Path two-channel retrieval using band 7(2.1um) and band 6(1.6um)from best points: not failed in any way, not marked for clear sky restoral units: g/m^2 valid_range: 0, 10000 _FillValue: -9999 Parameter_Type: Output Cell_Along_Swath_Sampling: 4, 2029, 5 Cell_Across_Swath_Sampling: 3, 1348, 5 Geolocation_Pointer: External MODIS geolocation product _1_km_to_5_km_subsampling_description: Each value in this dataset does not represent an average of properties over a 5 x 5 km grid box, but rather a single sample from within each 5 km box. Normally, pixels in across-track rows 4 and 9 (counting in the direction of increasing scan number) out of every set of 10 rows are used for subsampling the 1 km retrievals to a 5 km resolution. If the array contents are determined to be all fill values after selecting the default pixel subset (e.g., from failed detectors), a different pair of pixel rows is used to perform the subsampling. Note that 5 km data sets are centered on rows 3 and 8; the default sampling choice of 4 and 9 is for better data quality and avoidance of dead detectors on Aqua. The row pair used for the 1 km sample is always given by the first number and last digit of the second number of the attribute Cell_Along_Swath_Sampling. The attribute Cell_Across_Swath_Sampling indicates that columns 3 and 8 are used, as they always are, for across-track sampling. Again these values are to be interpreted counting in the direction of the scan, from 1 through 10 inclusively. For example, if the value of attribute Cell_Along_Swath_Sampling is 3, 2028, 5, then the third and eighth pixel rows were used for subsampling. A value of 4, 2029, 5 indicates that the default fourth and ninth rows pair was used. source_info: MYD06_L2.A2011295.0915.061.2018034055636.hdf pge06v6.1.4 Cloud_Water_Path_1621 scale_factor: 1.0000000000000000 add_offset: 0.0000000000000000 Cloud_Optical_Thickness_Uncertainty[ Cell_Along_Swath_5km= 0 ..405] [ Cell_Across_Swath_5km= 0 ..270] (Type is Int16) attributes coordinates: Latitude Longitude long_name: Cloud Optical Thickness Relative Uncertainty (Percent)from both best points and points identified as cloud edge at 1km resolution or partly cloudy at 250m based on the Cloud_Optical_Thickness and Cloud_Effective_Radius results units: percent valid_range: 0, 20000 _FillValue: -9999 Parameter_Type: Output Cell_Along_Swath_Sampling: 4, 2029, 5 Cell_Across_Swath_Sampling: 3, 1348, 5 Geolocation_Pointer: External MODIS geolocation product _1_km_to_5_km_subsampling_description: Each value in this dataset does not represent an average of properties over a 5 x 5 km grid box, but rather a single sample from within each 5 km box. Normally, pixels in across-track rows 4 and 9 (counting in the direction of increasing scan number) out of every set of 10 rows are used for subsampling the 1 km retrievals to a 5 km resolution. If the array contents are determined to be all fill values after selecting the default pixel subset (e.g., from failed detectors), a different pair of pixel rows is used to perform the subsampling. Note that 5 km data sets are centered on rows 3 and 8; the default sampling choice of 4 and 9 is for better data quality and avoidance of dead detectors on Aqua. The row pair used for the 1 km sample is always given by the first number and last digit of the second number of the attribute Cell_Along_Swath_Sampling. The attribute Cell_Across_Swath_Sampling indicates that columns 3 and 8 are used, as they always are, for across-track sampling. Again these values are to be interpreted counting in the direction of the scan, from 1 through 10 inclusively. For example, if the value of attribute Cell_Along_Swath_Sampling is 3, 2028, 5, then the third and eighth pixel rows were used for subsampling. A value of 4, 2029, 5 indicates that the default fourth and ninth rows pair was used. source_info: MYD06_L2.A2011295.0915.061.2018034055636.hdf pge06v6.1.4 Cloud_Optical_Thickness_Uncertainty scale_factor: 0.0099999997764825821 add_offset: 0.0000000000000000 Cloud_Effective_Radius_Uncertainty[ Cell_Along_Swath_5km= 0 ..405] [ Cell_Across_Swath_5km= 0 ..270] (Type is Int16) attributes coordinates: Latitude Longitude long_name: Cloud Effective Particle Radius (from band 7(2.1um)) Relative Uncertainty (Percent)from both best points and points identified as cloud edge at 1km resolution or partly cloudy at 250m units: percent valid_range: 0, 20000 _FillValue: -9999 Parameter_Type: Output Cell_Along_Swath_Sampling: 4, 2029, 5 Cell_Across_Swath_Sampling: 3, 1348, 5 Geolocation_Pointer: External MODIS geolocation product _1_km_to_5_km_subsampling_description: Each value in this dataset does not represent an average of properties over a 5 x 5 km grid box, but rather a single sample from within each 5 km box. Normally, pixels in across-track rows 4 and 9 (counting in the direction of increasing scan number) out of every set of 10 rows are used for subsampling the 1 km retrievals to a 5 km resolution. If the array contents are determined to be all fill values after selecting the default pixel subset (e.g., from failed detectors), a different pair of pixel rows is used to perform the subsampling. Note that 5 km data sets are centered on rows 3 and 8; the default sampling choice of 4 and 9 is for better data quality and avoidance of dead detectors on Aqua. The row pair used for the 1 km sample is always given by the first number and last digit of the second number of the attribute Cell_Along_Swath_Sampling. The attribute Cell_Across_Swath_Sampling indicates that columns 3 and 8 are used, as they always are, for across-track sampling. Again these values are to be interpreted counting in the direction of the scan, from 1 through 10 inclusively. For example, if the value of attribute Cell_Along_Swath_Sampling is 3, 2028, 5, then the third and eighth pixel rows were used for subsampling. A value of 4, 2029, 5 indicates that the default fourth and ninth rows pair was used. source_info: MYD06_L2.A2011295.0915.061.2018034055636.hdf pge06v6.1.4 Cloud_Effective_Radius_Uncertainty scale_factor: 0.0099999997764825821 add_offset: 0.0000000000000000 Cloud_Water_Path_Uncertainty[ Cell_Along_Swath_5km= 0 ..405] [ Cell_Across_Swath_5km= 0 ..270] (Type is Int16) attributes coordinates: Latitude Longitude long_name: Cloud Water Path Relative Uncertainty (Percent)from both best points and points identified as cloud edge at 1km resolution or partly cloudy at 250m based on the Cloud_Water_Path result units: percent valid_range: 0, 20000 _FillValue: -9999 Parameter_Type: Output Cell_Along_Swath_Sampling: 4, 2029, 5 Cell_Across_Swath_Sampling: 3, 1348, 5 Geolocation_Pointer: External MODIS geolocation product _1_km_to_5_km_subsampling_description: Each value in this dataset does not represent an average of properties over a 5 x 5 km grid box, but rather a single sample from within each 5 km box. Normally, pixels in across-track rows 4 and 9 (counting in the direction of increasing scan number) out of every set of 10 rows are used for subsampling the 1 km retrievals to a 5 km resolution. If the array contents are determined to be all fill values after selecting the default pixel subset (e.g., from failed detectors), a different pair of pixel rows is used to perform the subsampling. Note that 5 km data sets are centered on rows 3 and 8; the default sampling choice of 4 and 9 is for better data quality and avoidance of dead detectors on Aqua. The row pair used for the 1 km sample is always given by the first number and last digit of the second number of the attribute Cell_Along_Swath_Sampling. The attribute Cell_Across_Swath_Sampling indicates that columns 3 and 8 are used, as they always are, for across-track sampling. Again these values are to be interpreted counting in the direction of the scan, from 1 through 10 inclusively. For example, if the value of attribute Cell_Along_Swath_Sampling is 3, 2028, 5, then the third and eighth pixel rows were used for subsampling. A value of 4, 2029, 5 indicates that the default fourth and ninth rows pair was used. source_info: MYD06_L2.A2011295.0915.061.2018034055636.hdf pge06v6.1.4 Cloud_Water_Path_Uncertainty scale_factor: 0.0099999997764825821 add_offset: 0.0000000000000000 Cloud_Optical_Thickness_Uncertainty_1621[ Cell_Along_Swath_5km= 0 ..405] [ Cell_Across_Swath_5km= 0 ..270] (Type is Int16) attributes coordinates: Latitude Longitude long_name: Cloud Optical Thickness Relative Uncertainty (Percent) using band 7(2.1um) and band 6(1.6um)from both best points and points identified as cloud edge at 1km resolution or partly cloudy at 250m units: percent valid_range: 0, 20000 _FillValue: -9999 Parameter_Type: Output Cell_Along_Swath_Sampling: 4, 2029, 5 Cell_Across_Swath_Sampling: 3, 1348, 5 Geolocation_Pointer: External MODIS geolocation product _1_km_to_5_km_subsampling_description: Each value in this dataset does not represent an average of properties over a 5 x 5 km grid box, but rather a single sample from within each 5 km box. Normally, pixels in across-track rows 4 and 9 (counting in the direction of increasing scan number) out of every set of 10 rows are used for subsampling the 1 km retrievals to a 5 km resolution. If the array contents are determined to be all fill values after selecting the default pixel subset (e.g., from failed detectors), a different pair of pixel rows is used to perform the subsampling. Note that 5 km data sets are centered on rows 3 and 8; the default sampling choice of 4 and 9 is for better data quality and avoidance of dead detectors on Aqua. The row pair used for the 1 km sample is always given by the first number and last digit of the second number of the attribute Cell_Along_Swath_Sampling. The attribute Cell_Across_Swath_Sampling indicates that columns 3 and 8 are used, as they always are, for across-track sampling. Again these values are to be interpreted counting in the direction of the scan, from 1 through 10 inclusively. For example, if the value of attribute Cell_Along_Swath_Sampling is 3, 2028, 5, then the third and eighth pixel rows were used for subsampling. A value of 4, 2029, 5 indicates that the default fourth and ninth rows pair was used. source_info: MYD06_L2.A2011295.0915.061.2018034055636.hdf pge06v6.1.4 Cloud_Optical_Thickness_Uncertainty_1621 scale_factor: 0.0099999997764825821 add_offset: 0.0000000000000000 Cloud_Effective_Radius_Uncertainty_1621[ Cell_Along_Swath_5km= 0 ..405] [ Cell_Across_Swath_5km= 0 ..270] (Type is Int16) attributes coordinates: Latitude Longitude long_name: Cloud Effective Particle Radius Relative Uncertainty (Percent) using band 7(2.1um) and band 6(1.6um)from both best points and points identified as cloud edge at 1km resolution or partly cloudy at 250m units: percent valid_range: 0, 20000 _FillValue: -9999 Parameter_Type: Output Cell_Along_Swath_Sampling: 4, 2029, 5 Cell_Across_Swath_Sampling: 3, 1348, 5 Geolocation_Pointer: External MODIS geolocation product _1_km_to_5_km_subsampling_description: Each value in this dataset does not represent an average of properties over a 5 x 5 km grid box, but rather a single sample from within each 5 km box. Normally, pixels in across-track rows 4 and 9 (counting in the direction of increasing scan number) out of every set of 10 rows are used for subsampling the 1 km retrievals to a 5 km resolution. If the array contents are determined to be all fill values after selecting the default pixel subset (e.g., from failed detectors), a different pair of pixel rows is used to perform the subsampling. Note that 5 km data sets are centered on rows 3 and 8; the default sampling choice of 4 and 9 is for better data quality and avoidance of dead detectors on Aqua. The row pair used for the 1 km sample is always given by the first number and last digit of the second number of the attribute Cell_Along_Swath_Sampling. The attribute Cell_Across_Swath_Sampling indicates that columns 3 and 8 are used, as they always are, for across-track sampling. Again these values are to be interpreted counting in the direction of the scan, from 1 through 10 inclusively. For example, if the value of attribute Cell_Along_Swath_Sampling is 3, 2028, 5, then the third and eighth pixel rows were used for subsampling. A value of 4, 2029, 5 indicates that the default fourth and ninth rows pair was used. source_info: MYD06_L2.A2011295.0915.061.2018034055636.hdf pge06v6.1.4 Cloud_Effective_Radius_Uncertainty_1621 scale_factor: 0.0099999997764825821 add_offset: 0.0000000000000000 Cloud_Water_Path_Uncertainty_1621[ Cell_Along_Swath_5km= 0 ..405] [ Cell_Across_Swath_5km= 0 ..270] (Type is Int16) attributes coordinates: Latitude Longitude long_name: Cloud Water Path Relative Uncertainty (Percent) using band 7(2.1um) and band 6(1.6um)from both best points and points identified as cloud edge at 1km resolution or partly cloudy at 250m units: percent valid_range: 0, 20000 _FillValue: -9999 Parameter_Type: Output Cell_Along_Swath_Sampling: 4, 2029, 5 Cell_Across_Swath_Sampling: 3, 1348, 5 Geolocation_Pointer: External MODIS geolocation product _1_km_to_5_km_subsampling_description: Each value in this dataset does not represent an average of properties over a 5 x 5 km grid box, but rather a single sample from within each 5 km box. Normally, pixels in across-track rows 4 and 9 (counting in the direction of increasing scan number) out of every set of 10 rows are used for subsampling the 1 km retrievals to a 5 km resolution. If the array contents are determined to be all fill values after selecting the default pixel subset (e.g., from failed detectors), a different pair of pixel rows is used to perform the subsampling. Note that 5 km data sets are centered on rows 3 and 8; the default sampling choice of 4 and 9 is for better data quality and avoidance of dead detectors on Aqua. The row pair used for the 1 km sample is always given by the first number and last digit of the second number of the attribute Cell_Along_Swath_Sampling. The attribute Cell_Across_Swath_Sampling indicates that columns 3 and 8 are used, as they always are, for across-track sampling. Again these values are to be interpreted counting in the direction of the scan, from 1 through 10 inclusively. For example, if the value of attribute Cell_Along_Swath_Sampling is 3, 2028, 5, then the third and eighth pixel rows were used for subsampling. A value of 4, 2029, 5 indicates that the default fourth and ninth rows pair was used. source_info: MYD06_L2.A2011295.0915.061.2018034055636.hdf pge06v6.1.4 Cloud_Water_Path_Uncertainty_1621 scale_factor: 0.0099999997764825821 add_offset: 0.0000000000000000 Cloud_Phase_Optical_Properties[ Cell_Along_Swath_5km= 0 ..405] [ Cell_Across_Swath_5km= 0 ..270] (Type is Int32) attributes coordinates: Latitude Longitude long_name: Cloud Phase Determination Used in Optical Thickness/Effective Radius Retrieval units: none valid_range: 0, 4 _FillValue: 0 Parameter_Type: Output Cell_Along_Swath_Sampling: 4, 2029, 5 Cell_Across_Swath_Sampling: 3, 1348, 5 Geolocation_Pointer: External MODIS geolocation product description: \n The values in this SDS are set to mean the following: 0 -- cloud mask undetermined 1 -- clear sky 2 -- liquid water cloud 3 -- ice cloud 4 -- undetermined phase cloud (but retrieval is attempted as liquid water _1_km_to_5_km_subsampling_description: Each value in this dataset does not represent an average of properties over a 5 x 5 km grid box, but rather a single sample from within each 5 km box. Normally, pixels in across-track rows 4 and 9 (counting in the direction of increasing scan number) out of every set of 10 rows are used for subsampling the 1 km retrievals to a 5 km resolution. If the array contents are determined to be all fill values after selecting the default pixel subset (e.g., from failed detectors), a different pair of pixel rows is used to perform the subsampling. Note that 5 km data sets are centered on rows 3 and 8; the default sampling choice of 4 and 9 is for better data quality and avoidance of dead detectors on Aqua. The row pair used for the 1 km sample is always given by the first number and last digit of the second number of the attribute Cell_Along_Swath_Sampling. The attribute Cell_Across_Swath_Sampling indicates that columns 3 and 8 are used, as they always are, for across-track sampling. Again these values are to be interpreted counting in the direction of the scan, from 1 through 10 inclusively. For example, if the value of attribute Cell_Along_Swath_Sampling is 3, 2028, 5, then the third and eighth pixel rows were used for subsampling. A value of 4, 2029, 5 indicates that the default fourth and ninth rows pair was used. source_info: MYD06_L2.A2011295.0915.061.2018034055636.hdf pge06v6.1.4 Cloud_Phase_Optical_Properties scale_factor: 1.0000000000000000 add_offset: 0.0000000000000000 Cloud_Phase_Infrared[ Cell_Along_Swath_5km= 0 ..405] [ Cell_Across_Swath_5km= 0 ..270] (Type is Int32) attributes coordinates: Latitude Longitude long_name: Cloud Phase from 8.5 and 11 um Bands units: none valid_range: 0, 6 _FillValue: 127 Parameter_Type: Output Cell_Along_Swath_Sampling: 3, 2028, 5 Cell_Across_Swath_Sampling: 3, 1348, 5 Geolocation_Pointer: Internal geolocation arrays source_info: MYD06_L2.A2011295.0915.061.2018034055636.hdf pge06v6.1.4 Cloud_Phase_Infrared scale_factor: 1.0000000000000000 add_offset: 0.0000000000000000 Cloud_Quality_Assurance[ Cell_Along_Swath_5km= 0 ..405] [ Cell_Across_Swath_5km= 0 ..270] [ QA_Parameter_5km= 0 ..8] (Type is Int32) attributes coordinates: Latitude Longitude QA_Parameter_5km long_name: Cloud Quality Assurance at 5km Resolution units: none valid_range: 0, -1 _FillValue: 0 Parameter_Type: Output Cell_Along_Swath_Sampling: 4, 2029, 5 Cell_Across_Swath_Sampling: 3, 1348, 5 Geolocation_Pointer: External MODIS geolocation product description: \n Quality Assurance 1km reports on Cloud Optical Properties algorithm performance. Refer to MOD_PR06OD User Documentation and the MODIS atmosphere QA plan for complete descriptions and coding examples. Bit fields within each byte are numbered from the left: 7, 6, 5, 4, 3, 2, 1, 0. The left-most bit (bit 7) is the most significant bit. The right-most bit (bit 0) is the least significant bit. Byte 0 ----------------------------------------------------------------- 0 VNSWIR-2.1 Optical Thickness General QA 0 = Not Useful 1 = Useful 2,1 VNSWIR-2.1 Optical Thickness Confidence QA 00 = No confidence 01 = Marginal 10 = Good 11 = Very Good 4,3 Surface type used by the OD code 00 = ice-free ocean 01 = ice covered ocean 10 = snow-free land 11 = snow covered land 5 VNSWIR-2.1 Effective Radius General QA 0 = Not Useful 1 = Useful 7,6 VNSWIR-2.1 Effective Radius Confidence QA 00 = No confidence 01 = Marginal 10 = Good 11 = Very Good Byte 1 ----------------------------------------------------------------- 0 VNSWIR-2.1 Liquid Water Path General QA 0 = Not Useful 1 = Useful 2,1 VNSWIR-2.1 Liquid Water Path Confidence QA 00 = No confidence 01 = Marginal 10 = Good 11 = Very Good 5,4,3 Retrieval Phase 000 = No Cloud Mask 001 = No Cloud 010 = Water Cloud 011 = Ice Cloud 100 = Unknown Cloud 6 1.6- 2.1 Retrieval Outcome 0 = Failed/No attempt 1 = Successful Byte 2 ----------------------------------------------------------------- 2,1,0 Retrieval Phase 000 = No Cloud Mask 001 = No Cloud 010 = Water Cloud 011 = Ice Cloud 100 = Unknown Cloud 3 VNSWIR- 2.1 Retrieval Outcome 0 = Failed/No attempt 1 = Successful 4 Rayleigh Correction 0 = No Correction 1 = Correction 5 Water Vapor Correction 0 = No Correction 1 = Correction 7,6 Band Used for Optical Thickness Retrieval 00 = No attempt 01 = .645 micron 10 = .858 micron 11 = 1.24 micron Byte 3 ----------------------------------------------------------------- 0 Optical Thickness 1.6-2.1 General QA 0 = Not Useful 1 = Useful 2,1 Optical Thickness 1.6-2.1 Condifence QA 00 = No confidence 01 = Marginal 10 = Good 11 = Very Good 3 Effective Radius 1.6-2.1 General QA 0 = Not Useful 1 = Useful 5,4 Effective Radius 1.6-2.1 Confidence QA 00 = No confidence 01 = Marginal 10 = Good 11 = Very Good 7,6 Clear Sky Restoral Type QA 00 = Not Restored 01 = Restored Via Edge detection 10 = Restored Via Spatial Variance 11 = Restored Via 250m Tests Byte 4 ----------------------------------------------------------------- 0 Water Path 1.6-2.1 General QA 0 = Not Useful 1 = Useful 2,1 Water Path 1.6-2.1 Confidence QA 00 = No confidence 01 = Marginal 10 = Good 11 = Very Good 5,4,3 Multi Layer Cloud Flag 000 = Cloud Mask Undet 001 = Decision tree stop 010 = single layer: water 011 = multi layer: water 100 = single layer: ice 101 = multi layer: ice 110 = single layer: unknown 111 = multi layer: unknown 7,6 spare Byte 5 ----------------------------------------------------------------- 0 Phase difference multilayer test result 1 Delta precipitable water multilayer test result 2 Delta precipitable water at 900mb multilayer test result 3 Tau difference VNSWIR-SWIR multilayer test result 4 Pavolonis-Heidinger multilayer test result 7,6,5 spare Byte 6 ----------------------------------------------------------------- 2,1,0 Retrieval Phase 000 = No Cloud Mask 001 = No Cloud 010 = Water Cloud 011 = Ice Cloud 100 = Unknown Cloud 3 VNSWIR- 1.6 Retrieval Outcome 0 = Failed/No attempt 1 = Successful 6,5,4 Retrieval Phase 000 = No Cloud Mask 001 = No Cloud 010 = Water Cloud 011 = Ice Cloud 100 = Unknown Cloud 7 VNSWIR- 1.6 PCL Retrieval Outcome 0 = Failed/No attempt 1 = Successful Byte 7 ----------------------------------------------------------------- 2,1,0 Retrieval Phase 000 = No Cloud Mask 001 = No Cloud 010 = Water Cloud 011 = Ice Cloud 100 = Unknown Cloud 3 VNSWIR- 3.7 Retrieval Outcome 0 = Failed/No attempt 1 = Successful 6,5,4 Retrieval Phase 000 = No Cloud Mask 001 = No Cloud 010 = Water Cloud 011 = Ice Cloud 100 = Unknown Cloud 7 VNSWIR- 3.7 PCL Retrieval Outcome 0 = Failed/No attempt 1 = Successful Byte 8 ----------------------------------------------------------------- 2,1,0 Retrieval Phase 000 = No Cloud Mask 001 = No Cloud 010 = Water Cloud 011 = Ice Cloud 100 = Unknown Cloud 3 1.6- 2.1 PCL Retrieval Outcome 0 = Failed/No attempt 1 = Successful 6,5,4 Retrieval Phase 000 = No Cloud Mask 001 = No Cloud 010 = Water Cloud 011 = Ice Cloud 100 = Unknown Cloud 7 VNSWIR- 2.1 PCL Retrieval Outcome 0 = Failed/No attempt 1 = Successful _1_km_to_5_km_subsampling_description: Each value in this dataset does not represent an average of properties over a 5 x 5 km grid box, but rather a single sample from within each 5 km box. Normally, pixels in across-track rows 4 and 9 (counting in the direction of increasing scan number) out of every set of 10 rows are used for subsampling the 1 km retrievals to a 5 km resolution. If the array contents are determined to be all fill values after selecting the default pixel subset (e.g., from failed detectors), a different pair of pixel rows is used to perform the subsampling. Note that 5 km data sets are centered on rows 3 and 8; the default sampling choice of 4 and 9 is for better data quality and avoidance of dead detectors on Aqua. The row pair used for the 1 km sample is always given by the first number and last digit of the second number of the attribute Cell_Along_Swath_Sampling. The attribute Cell_Across_Swath_Sampling indicates that columns 3 and 8 are used, as they always are, for across-track sampling. Again these values are to be interpreted counting in the direction of the scan, from 1 through 10 inclusively. For example, if the value of attribute Cell_Along_Swath_Sampling is 3, 2028, 5, then the third and eighth pixel rows were used for subsampling. A value of 4, 2029, 5 indicates that the default fourth and ninth rows pair was used. source_info: MYD06_L2.A2011295.0915.061.2018034055636.hdf pge06v6.1.4 Quality_Assurance_1km scale_factor: 1.0000000000000000 add_offset: 0.0000000000000000 Cirrus_Reflectance[ Cell_Along_Swath_5km= 0 ..405] [ Cell_Across_Swath_5km= 0 ..270] (Type is Int16) attributes coordinates: Latitude Longitude long_name: Cirrus Reflectance units: none valid_range: 0, 8000 _FillValue: -9999 Parameter_Type: Output Cell_Along_Swath_Sampling: 4, 2029, 5 Cell_Across_Swath_Sampling: 3, 1348, 5 Geolocation_Pointer: External MODIS geolocation product _1_km_to_5_km_subsampling_description: Each value in this dataset does not represent an average of properties over a 5 x 5 km grid box, but rather a single sample from within each 5 km box. Normally, pixels in across-track rows 4 and 9 (counting in the direction of increasing scan number) out of every set of 10 rows are used for subsampling the 1 km retrievals to a 5 km resolution. If the array contents are determined to be all fill values after selecting the default pixel subset (e.g., from failed detectors), a different pair of pixel rows is used to perform the subsampling. Note that 5 km data sets are centered on rows 3 and 8; the default sampling choice of 4 and 9 is for better data quality and avoidance of dead detectors on Aqua. The row pair used for the 1 km sample is always given by the first number and last digit of the second number of the attribute Cell_Along_Swath_Sampling. The attribute Cell_Across_Swath_Sampling indicates that columns 3 and 8 are used, as they always are, for across-track sampling. Again these values are to be interpreted counting in the direction of the scan, from 1 through 10 inclusively. For example, if the value of attribute Cell_Along_Swath_Sampling is 3, 2028, 5, then the third and eighth pixel rows were used for subsampling. A value of 4, 2029, 5 indicates that the default fourth and ninth rows pair was used. source_info: MYD06_L2.A2011295.0915.061.2018034055636.hdf pge06v6.1.4 Cirrus_Reflectance scale_factor: 0.00019999999494757503 add_offset: 0.0000000000000000 Cloud_Top_Pressure[ Cell_Along_Swath_5km= 0 ..405] [ Cell_Across_Swath_5km= 0 ..270] (Type is Int16) attributes coordinates: Latitude Longitude long_name: Cloud Top Pressure Level (rounded to nearest 5 mb) units: hPa valid_range: 10, 11000 _FillValue: -32768 Parameter_Type: Output Cell_Along_Swath_Sampling: 3, 2028, 5 Cell_Across_Swath_Sampling: 3, 1348, 5 Geolocation_Pointer: Internal geolocation arrays source_info: MYD06_L2.A2011295.0915.061.2018034055636.hdf pge06v6.1.4 Cloud_Top_Pressure scale_factor: 0.10000000149011612 add_offset: 0.0000000000000000 Cloud_Top_Temperature[ Cell_Along_Swath_5km= 0 ..405] [ Cell_Across_Swath_5km= 0 ..270] (Type is Int16) attributes coordinates: Latitude Longitude long_name: Temperature from Ancillary Data at Retrieved Cloud Top Pressure Level units: K valid_range: 0, 20000 _FillValue: -32768 Parameter_Type: Output Cell_Along_Swath_Sampling: 3, 2028, 5 Cell_Across_Swath_Sampling: 3, 1348, 5 Geolocation_Pointer: Internal geolocation arrays source_info: MYD06_L2.A2011295.0915.061.2018034055636.hdf pge06v6.1.4 Cloud_Top_Temperature scale_factor: 0.0099999997764825821 add_offset: 149.99999664723873 Cloud_Fraction[ Cell_Along_Swath_5km= 0 ..405] [ Cell_Across_Swath_5km= 0 ..270] (Type is Int32) attributes coordinates: Latitude Longitude long_name: Cloud Fraction in Retrieval Region (5x5 1-km Pixels) from 1-km Cloud Mask units: none valid_range: 0, 100 _FillValue: 127 Parameter_Type: Output Cell_Along_Swath_Sampling: 3, 2028, 5 Cell_Across_Swath_Sampling: 3, 1348, 5 Geolocation_Pointer: Internal geolocation arrays source_info: MYD06_L2.A2011295.0915.061.2018034055636.hdf pge06v6.1.4 Cloud_Fraction scale_factor: 0.0099999997764825821 add_offset: 0.0000000000000000 Precipitable_Water_Infrared_ClearSky[ Cell_Along_Swath_5km= 0 ..405] [ Cell_Across_Swath_5km= 0 ..270] (Type is Int16) attributes coordinates: Latitude Longitude long_name: Total Column Precipitable Water Vapor - IR Clear Retrieval units: cm valid_range: 0, 20000 _FillValue: -9999 Parameter_Type: Output Cell_Along_Swath_Sampling: 3, 2028, 5 Cell_Across_Swath_Sampling: 3, 1348, 5 Geolocation_Pointer: Internal geolocation arrays source_info: MYD07_L2.A2011295.0915.061.2018034010746.hdf pge03v6.1.1 Water_Vapor scale_factor: 0.0010000000474974513 add_offset: 0.0000000000000000 Cloud_Mask[ Byte_Segment= 0 ..0] [ Cell_Along_Swath_5km= 0 ..405] [ Cell_Across_Swath_5km= 0 ..270] (Type is Int32) attributes coordinates: Byte_Segment Latitude Longitude long_name: MODIS Cloud Mask units: none valid_range: 0, -1 _FillValue: 0 Parameter_Type: Output Cell_Along_Swath_Sampling: 4, 2029, 5 Cell_Across_Swath_Sampling: 3, 1348, 5 Geolocation_Pointer: External MODIS geolocation product description: \n Bit fields within each byte are numbered from the left: 7, 6, 5, 4, 3, 2, 1, 0. The left-most bit (bit 7) is the most significant bit. The right-most bit (bit 0) is the least significant bit. bit field Description Key --------- ----------- --- 0 Cloud Mask Flag 0 = Not determined 1 = Determined 2, 1 Unobstructed FOV Quality Flag 00 = Cloudy 01 = Uncertain 10 = Probably Clear 11 = Confident Clear PROCESSING PATH --------------- 3 Day or Night Path 0 = Night / 1 = Day 4 Sunglint Path 0 = Yes / 1 = No 5 Snow/Ice Background Path 0 = Yes / 1 = No 7, 6 Land or Water Path 00 = Water 01 = Coastal 10 = Desert 11 = Land _1_km_to_5_km_subsampling_description: Each value in this dataset does not represent an average of properties over a 5 x 5 km grid box, but rather a single sample from within each 5 km box. Normally, pixels in across-track rows 4 and 9 (counting in the direction of increasing scan number) out of every set of 10 rows are used for subsampling the 1 km retrievals to a 5 km resolution. If the array contents are determined to be all fill values after selecting the default pixel subset (e.g., from failed detectors), a different pair of pixel rows is used to perform the subsampling. Note that 5 km data sets are centered on rows 3 and 8; the default sampling choice of 4 and 9 is for better data quality and avoidance of dead detectors on Aqua. The row pair used for the 1 km sample is always given by the first number and last digit of the second number of the attribute Cell_Along_Swath_Sampling. The attribute Cell_Across_Swath_Sampling indicates that columns 3 and 8 are used, as they always are, for across-track sampling. Again these values are to be interpreted counting in the direction of the scan, from 1 through 10 inclusively. For example, if the value of attribute Cell_Along_Swath_Sampling is 3, 2028, 5, then the third and eighth pixel rows were used for subsampling. A value of 4, 2029, 5 indicates that the default fourth and ninth rows pair was used. source_info: MYD35_L2.A2011295.0915.061.2018034010727.hdf pge03v6.1.1 Cloud_Mask scale_factor: 1.0000000000000000 add_offset: 0.0000000000000000 Solar_Zenith_10km[ Cell_Along_Swath_10km= 0 ..202] [ Cell_Across_Swath_10km= 0 ..134] (Type is Int16) attributes coordinates: Latitude_10km Longitude_10km long_name: Solar Zenith Angle, Cell to Sun at 10km Resolution units: Degrees valid_range: 0, 18000 _FillValue: -9999 Parameter_Type: MODIS Input Cell_Along_Swath_Sampling: 1, 2021, 10 Cell_Across_Swath_Sampling: 1, 1345, 10 Geolocation_Pointer: Internal geolocation arrays source_info: MYD04_L2.A2011295.0915.061.2018034053114.hdf pge04v04 Solar_Zenith scale_factor: 0.0099999997764825821 add_offset: 0.0000000000000000 Viewing_Zenith_10km[ Cell_Along_Swath_10km= 0 ..202] [ Cell_Across_Swath_10km= 0 ..134] (Type is Int16) attributes coordinates: Latitude_10km Longitude_10km long_name: Viewing_Zenith Angle, Cell to Viewing at 10km Resolution units: Degrees valid_range: 0, 18000 _FillValue: -9999 Parameter_Type: MODIS Input Cell_Along_Swath_Sampling: 1, 2021, 10 Cell_Across_Swath_Sampling: 1, 1354, 10 Geolocation_Pointer: Internal geolocation arrays source_info: MYD04_L2.A2011295.0915.061.2018034053114.hdf pge04v04 Sensor_Zenith scale_factor: 0.0099999997764825821 add_offset: 0.0000000000000000 Relative_Azimuth_10km[ Cell_Along_Swath_10km= 0 ..202] [ Cell_Across_Swath_10km= 0 ..134] (Type is Int16) attributes coordinates: Latitude_10km Longitude_10km long_name: Relative Azimuth ( RA = abs(180-abs(snsr_az-slr_az)) ) at 10km Resolution units: Degrees valid_range: -18000, 18000 _FillValue: -9999 Parameter_Type: Output Cell_Along_Swath_Sampling: 1, 2021, 10 Cell_Across_Swath_Sampling: 1, 1345, 10 Geolocation_Pointer: Internal geolocation arrays source_info: MYD04_L2.A2011295.0915.061.2018034053114.hdf pge04v04 Sensor_Azimuth Solar_Azimuth for each pixel: RA = abs(180-abs(snsr_az-slr_az)) scale_factor: 0.0099999997764825821 add_offset: 0.0000000000000000 Aerosol_Optical_Depth[ Cell_Along_Swath_10km= 0 ..202] [ Cell_Across_Swath_10km= 0 ..134] (Type is Int16) attributes coordinates: Latitude_10km Longitude_10km long_name: AOT at 0.55 micron for both ocean (Average) (Quality flag=1,2,3) and land (corrected) (Quality flag=3) units: None valid_range: -100, 5000 _FillValue: -9999 Parameter_Type: Output Cell_Along_Swath_Sampling: 1, 2021, 10 Cell_Across_Swath_Sampling: 1, 1354, 10 Geolocation_Pointer: Internal geolocation arrays source_info: MYD04_L2.A2011295.0915.061.2018034053114.hdf pge04v04 Optical_Depth_Land_And_Ocean scale_factor: 0.0010000000474974513 add_offset: 0.0000000000000000 Deep_Blue_Aerosol_Optical_Depth_550_Land[ Cell_Along_Swath_10km= 0 ..202] [ Cell_Across_Swath_10km= 0 ..134] (Type is Int16) attributes coordinates: Latitude_10km Longitude_10km long_name: AOT at 0.55 micron for land with all quality data (Quality flag=1,2,3) units: None valid_range: 0, 5000 _FillValue: -9999 Parameter_Type: Output Cell_Along_Swath_Sampling: 1, 2021, 10 Cell_Across_Swath_Sampling: 1, 1354, 10 Geolocation_Pointer: Internal geolocation arrays source_info: MYD04_L2.A2011295.0915.061.2018034053114.hdf pge04v04 Deep_Blue_Aerosol_Optical_Depth_550_Land scale_factor: 0.0010000000474974513 add_offset: 0.0000000000000000 Deep_Blue_Angstrom_Exponent_Land[ Cell_Along_Swath_10km= 0 ..202] [ Cell_Across_Swath_10km= 0 ..134] (Type is Int16) attributes coordinates: Latitude_10km Longitude_10km long_name: Deep Blue Angstrom Exponent for land (between 412/470 nm for bright surfaces, 470/650 nm for vegetated surfaces) with all quality data (Quality flag=1,2,3) units: None valid_range: -500, 5000 _FillValue: -9999 Parameter_Type: Output Cell_Along_Swath_Sampling: 1, 2021, 10 Cell_Across_Swath_Sampling: 1, 1354, 10 Geolocation_Pointer: Internal geolocation arrays source_info: MYD04_L2.A2011295.0915.061.2018034053114.hdf pge04v04 Deep_Blue_Angstrom_Exponent_Land scale_factor: 0.0010000000474974513 add_offset: 0.0000000000000000 Total_Ozone[ Cell_Along_Swath_5km= 0 ..405] [ Cell_Across_Swath_5km= 0 ..270] (Type is Int16) attributes coordinates: Latitude Longitude _FillValue: -32768 valid_range: 0, 5000 long_name: Total Ozone Burden units: Dobson Parameter_Type: Output Cell_Along_Swath_Sampling: 3, 2028, 5 Cell_Across_Swath_Sampling: 3, 1348, 5 Geolocation_Pointer: Internal geolocation arrays scale_factor: 0.10000000149011612 add_offset: 0.0000000000000000 Lifted_Index[ Cell_Along_Swath_5km= 0 ..405] [ Cell_Across_Swath_5km= 0 ..270] (Type is Int16) attributes coordinates: Latitude Longitude _FillValue: -32768 valid_range: -2000, 4000 long_name: Lifted Index units: K Parameter_Type: Output Cell_Along_Swath_Sampling: 3, 2028, 5 Cell_Across_Swath_Sampling: 3, 1348, 5 Geolocation_Pointer: Internal geolocation arrays scale_factor: 0.0099999997764825821 add_offset: 0.0000000000000000 K_Index[ Cell_Along_Swath_5km= 0 ..405] [ Cell_Across_Swath_5km= 0 ..270] (Type is Int16) attributes coordinates: Latitude Longitude _FillValue: -32768 valid_range: 11500, 20000 long_name: K_Index units: K Parameter_Type: Output Cell_Along_Swath_Sampling: 3, 2028, 5 Cell_Across_Swath_Sampling: 3, 1348, 5 Geolocation_Pointer: Internal geolocation arrays scale_factor: 0.0099999997764825821 add_offset: 149.99999664723873 Total_Totals_Index[ Cell_Along_Swath_5km= 0 ..405] [ Cell_Across_Swath_5km= 0 ..270] (Type is Int16) attributes coordinates: Latitude Longitude _FillValue: -32768 valid_range: 0, 8000 long_name: Total Totals units: K Parameter_Type: Output Cell_Along_Swath_Sampling: 3, 2028, 5 Cell_Across_Swath_Sampling: 3, 1348, 5 Geolocation_Pointer: Internal geolocation arrays scale_factor: 0.0099999997764825821 add_offset: 0.0000000000000000 Aerosol_Angstrom_Exponent_Ocean[ Cell_Along_Swath_10km= 0 ..202] [ Cell_Across_Swath_10km= 0 ..134] (Type is Int16) attributes coordinates: Latitude_10km Longitude_10km _FillValue: -9999 valid_range: -1000, 5000 long_name: Calculated Angstrom Exponent for 0.55 vs 0.86 micron for Average Solution units: None Parameter_Type: Output Cell_Along_Swath_Sampling: 1, 2021, 10 Cell_Across_Swath_Sampling: 1, 1354, 10 Geolocation_Pointer: Internal geolocation arrays scale_factor: 0.0010000000474974513 add_offset: 0.0000000000000000 Aerosol_Land_Sea_Flag[ Cell_Along_Swath_10km= 0 ..202] [ Cell_Across_Swath_10km= 0 ..134] (Type is Int16) attributes coordinates: Latitude_10km Longitude_10km _FillValue: -9999 valid_range: 0, 1 long_name: Land_sea_Flag(based on MOD03 Landsea mask 0 = Ocean, 1 = Land and Ephemeral water 2 =Coastal) units: None Parameter_Type: Output Cell_Along_Swath_Sampling: 1, 2021, 10 Cell_Across_Swath_Sampling: 1, 1354, 10 Geolocation_Pointer: Internal geolocation arrays scale_factor: 1.0000000000000000 add_offset: 0.0000000000000000 Aerosol_Cloud_Pixel_Distance_Land_Ocean[ Cell_Along_Swath_10km= 0 ..202] [ Cell_Across_Swath_10km= 0 ..134] (Type is Int16) attributes coordinates: Latitude_10km Longitude_10km _FillValue: -9999 valid_range: 0, 60 long_name: Average Distance (number of pixels) to nearest pixel identified as cloudy from each clear pixel used for Aerosol Retrieval in 10 km retrieval box units: Number of pixels Parameter_Type: Output Cell_Along_Swath_Sampling: 1, 2021, 10 Cell_Across_Swath_Sampling: 1, 1354, 10 Geolocation_Pointer: Internal geolocation arrays scale_factor: 1.0000000000000000 add_offset: 0.0000000000000000 Aerosol_Cloud_Fraction_Ocean[ Cell_Along_Swath_10km= 0 ..202] [ Cell_Across_Swath_10km= 0 ..134] (Type is Int16) attributes coordinates: Latitude_10km Longitude_10km _FillValue: -9999 valid_range: 0, 1000 long_name: Cloud fraction from Land aerosol cloud mask from retrieved and overcast pixels not including cirrus mask units: None Parameter_Type: Output Cell_Along_Swath_Sampling: 1, 2021, 10 Cell_Across_Swath_Sampling: 1, 1354, 10 Geolocation_Pointer: Internal geolocation arrays scale_factor: 0.0010000000474974513 add_offset: 0.0000000000000000 Aerosol_Cloud_Fraction_Land[ Cell_Along_Swath_10km= 0 ..202] [ Cell_Across_Swath_10km= 0 ..134] (Type is Int16) attributes coordinates: Latitude_10km Longitude_10km _FillValue: -9999 valid_range: 0, 1000 long_name: Cloud fraction from Land aerosol cloud mask from retrieved and overcast pixels not including cirrus mask units: None Parameter_Type: Output Cell_Along_Swath_Sampling: 1, 2021, 10 Cell_Across_Swath_Sampling: 1, 1354, 10 Geolocation_Pointer: Internal geolocation arrays scale_factor: 0.0010000000474974513 add_offset: 0.0000000000000000 Aerosol_Land_Ocean_Quality_Flag[ Cell_Along_Swath_10km= 0 ..202] [ Cell_Across_Swath_10km= 0 ..134] (Type is Int16) attributes coordinates: Latitude_10km Longitude_10km _FillValue: -9999 valid_range: 0, 3 long_name: Quality Flag for Land and ocean Aerosol retreivals 0= bad 1 = Marginal 2= Good 3=Very Good) units: None Parameter_Type: Output Cell_Along_Swath_Sampling: 1, 2021, 10 Cell_Across_Swath_Sampling: 1, 1354, 10 Geolocation_Pointer: Internal geolocation arrays scale_factor: 1.0000000000000000 add_offset: 0.0000000000000000 AOD_550_Dark_Target_Deep_Blue_Combined[ Cell_Along_Swath_10km= 0 ..202] [ Cell_Across_Swath_10km= 0 ..134] (Type is Int16) attributes coordinates: Latitude_10km Longitude_10km _FillValue: -9999 valid_range: -100, 5000 long_name: Combined Dark Target, Deep Blue AOT at 0.55 micron for land and ocean. units: None Parameter_Type: Output Cell_Along_Swath_Sampling: 1, 2021, 10 Cell_Across_Swath_Sampling: 1, 1354, 10 Geolocation_Pointer: Internal geolocation arrays scale_factor: 0.0010000000474974513 add_offset: 0.0000000000000000 AOD_550_Dark_Target_Deep_Blue_Combined_QA_Flag[ Cell_Along_Swath_10km= 0 ..202] [ Cell_Across_Swath_10km= 0 ..134] (Type is Int16) attributes coordinates: Latitude_10km Longitude_10km _FillValue: -9999 valid_range: 0, 3 long_name: Combined Dark Target, Deep Blue Aerosol Confidence Flag (0= No Confidence (or fill), 1= Marginal, 2= Good, 3= Very Good) units: None Parameter_Type: Output Cell_Along_Swath_Sampling: 1, 2021, 10 Cell_Across_Swath_Sampling: 1, 1354, 10 Geolocation_Pointer: Internal geolocation arrays scale_factor: 1.0000000000000000 add_offset: 0.0000000000000000 AOD_550_Dark_Target_Deep_Blue_Combined_Algorithm_Flag[ Cell_Along_Swath_10km= 0 ..202] [ Cell_Across_Swath_10km= 0 ..134] (Type is Int16) attributes coordinates: Latitude_10km Longitude_10km _FillValue: -999 valid_range: 0, 2 long_name: Combined Dark Target, Deep Blue AOT at 0.55 micron Algorithm Flag (0=Dark Target, 1=Deep Blue, 2=Mixed) units: None Parameter_Type: Output Cell_Along_Swath_Sampling: 1, 2021, 10 Cell_Across_Swath_Sampling: 1, 1354, 10 Geolocation_Pointer: Internal geolocation arrays scale_factor: 1.0000000000000000 add_offset: 0.0000000000000000 Deep_Blue_Aerosol_Optical_Depth_550_Land_Best_Estimate[ Cell_Along_Swath_10km= 0 ..202] [ Cell_Across_Swath_10km= 0 ..134] (Type is Int16) attributes coordinates: Latitude_10km Longitude_10km _FillValue: -9999 valid_range: 0, 5000 long_name: Deep Blue AOT at 0.55 micron for land with higher quality data (Quality flag=2,3) units: None Parameter_Type: Output Cell_Along_Swath_Sampling: 1, 2021, 10 Cell_Across_Swath_Sampling: 1, 1354, 10 Geolocation_Pointer: Internal geolocation arrays scale_factor: 0.0010000000474974513 add_offset: 0.0000000000000000 Deep_Blue_Aerosol_Optical_Depth_550_Land_QA_Flag[ Cell_Along_Swath_10km= 0 ..202] [ Cell_Across_Swath_10km= 0 ..134] (Type is Int16) attributes coordinates: Latitude_10km Longitude_10km _FillValue: 0 valid_range: 0, 3 long_name: Deep Blue Aerosol Confidence Flag (0= No Confidence (or fill), 1= Marginal, 2= Good, 3= Very Good) units: None Parameter_Type: Output Cell_Along_Swath_Sampling: 1, 2021, 10 Cell_Across_Swath_Sampling: 1, 1354, 10 Geolocation_Pointer: Internal geolocation arrays scale_factor: 1.0000000000000000 add_offset: 0.0000000000000000 Deep_Blue_Aerosol_Optical_Depth_550_Land_Estimated_Uncertainty[ Cell_Along_Swath_10km= 0 ..202] [ Cell_Across_Swath_10km= 0 ..134] (Type is Int16) attributes coordinates: Latitude_10km Longitude_10km _FillValue: -9999 valid_range: 0, 5000 long_name: Estimated uncertainty (one-sigma confidence envelope) of Deep Blue AOT at 0.55 micron for land for all quality data (Quality flag=1,2,3) units: None Parameter_Type: Output Cell_Along_Swath_Sampling: 1, 2021, 10 Cell_Across_Swath_Sampling: 1, 1354, 10 Geolocation_Pointer: Internal geolocation arrays scale_factor: 0.0010000000474974513 add_offset: 0.0000000000000000 Aerosol_Quality_Assurance_Land[ Cell_Along_Swath_10km= 0 ..202] [ Cell_Across_Swath_10km= 0 ..134] [ QA_Byte_Land= 0 ..5] (Type is Int32) attributes coordinates: Latitude_10km Longitude_10km QA_Byte_Land _FillValue: 0 valid_range: 0, -1 long_name: Runtime QA flags units: None Parameter_Type: Output Cell_Along_Swath_Sampling: 1, 2021, 10 Cell_Across_Swath_Sampling: 1, 1354, 10 Geolocation_Pointer: Internal geolocation arrays description: see MODIS atmosphere QA plan for details scale_factor: 1.0000000000000000 add_offset: 0.0000000000000000 Aerosol_Quality_Assurance_Ocean[ Cell_Along_Swath_10km= 0 ..202] [ Cell_Across_Swath_10km= 0 ..134] [ QA_Byte_Ocean= 0 ..4] (Type is Int32) attributes coordinates: Latitude_10km Longitude_10km QA_Byte_Ocean _FillValue: 0 valid_range: 0, -1 long_name: Run time QA flags units: None Parameter_Type: Output Cell_Along_Swath_Sampling: 1, 2021, 10 Cell_Across_Swath_Sampling: 1, 1354, 10 Geolocation_Pointer: Internal geolocation arrays description: (see MODIS atmosphere QA plan for details) scale_factor: 1.0000000000000000 add_offset: 0.0000000000000000 Deep_Blue_Single_Scattering_Albedo_412_Land[ Num_DeepBlue_Wavelengths= 0 ..2] [ Cell_Along_Swath_10km= 0 ..202] [ Cell_Across_Swath_10km= 0 ..134] (Type is Int16) attributes coordinates: Num_DeepBlue_Wavelengths Latitude_10km Longitude_10km _FillValue: -9999 valid_range: 700, 1000 long_name: Deep Blue Single Scattering Albedo at 0.412, 0.47, and 0.66 micron for land with all quality data (Quality flag=1,2,3) units: None Parameter_Type: Output Cell_Along_Swath_Sampling: 1, 2021, 10 Cell_Across_Swath_Sampling: 1, 1354, 10 Geolocation_Pointer: Internal geolocation arrays scale_factor: 0.0010000000474974513 add_offset: 0.0000000000000000 Longitude_10km[ Cell_Along_Swath_10km= 0 ..202] [ Cell_Across_Swath_10km= 0 ..134] (Type is Float32) attributes units: _FillValue: -999.0000000 valid_range: -180.0000000, 180.0000000 long_name: Geodetic Longitude Parameter_Type: MODIS Input Cell_Along_Swath_Sampling: 1, 2021, 10 Cell_Across_Swath_Sampling: 1, 1345, 10 Geolocation_Pointer: Geolocation data not applicable Latitude_10km[ Cell_Along_Swath_10km= 0 ..202] [ Cell_Across_Swath_10km= 0 ..134] (Type is Float32) attributes units: _FillValue: -999.0000000 valid_range: -90.00000000, 90.00000000 long_name: Geodetic Latitude Parameter_Type: MODIS Input Cell_Along_Swath_Sampling: 1, 2021, 10 Cell_Across_Swath_Sampling: 1, 1345, 10 Geolocation_Pointer: Geolocation data not applicable Precipitable_Water_Near_Infrared_ClearSky[ Cell_Along_Swath_5km= 0 ..405] [ Cell_Across_Swath_5km= 0 ..270] (Type is Int16) attributes coordinates: Latitude Longitude _FillValue: -9999 long_name: Total Column Precipitable Water Vapor - Near Infrared Retrieval unit: cm Parameter_Type: Output Cell_Along_Swath_Sampling: 4, 2029, 5 Cell_Across_Swath_Sampling: 3, 1353, 5 Geolocation_Pointer: Internal geolocation arrays valid_range: 0, 20000 scale_factor: 0.0010000000474974513 add_offset: 0.0000000000000000 Cloud_Optical_Thickness_PCL[ Cell_Along_Swath_5km= 0 ..405] [ Cell_Across_Swath_5km= 0 ..270] (Type is Int16) attributes coordinates: Latitude Longitude _FillValue: -9999 valid_range: 0, 10000 long_name: Cloud Optical Thickness two-channel retrieval using band 7(2.1um) and either band 1(0.65um), 2(0.86um), or 5(1.2um) (specified in Quality_Assurance_1km)from points identified as either partly cloudy from 250m cloud mask test or 1km cloud edges units: none Parameter_Type: Output Cell_Along_Swath_Sampling: 4, 2029, 5 Cell_Across_Swath_Sampling: 3, 1353, 5 Geolocation_Pointer: External MODIS geolocation product scale_factor: 0.0099999997764825821 add_offset: 0.0000000000000000 Cloud_Optical_Thickness_16[ Cell_Along_Swath_5km= 0 ..405] [ Cell_Across_Swath_5km= 0 ..270] (Type is Int16) attributes coordinates: Latitude Longitude _FillValue: -9999 valid_range: 0, 10000 long_name: Cloud Optical Thickness two-channel retrieval using band 6(1.6um) and either band 1(0.65um), 2(0.86um), or 5(1.2um) (specified in Quality_Assurance_1km)from best points: not failed in any way, not marked for clear sky restoral units: none Parameter_Type: Output Cell_Along_Swath_Sampling: 4, 2029, 5 Cell_Across_Swath_Sampling: 3, 1353, 5 Geolocation_Pointer: External MODIS geolocation product scale_factor: 0.0099999997764825821 add_offset: 0.0000000000000000 Cloud_Optical_Thickness_16_PCL[ Cell_Along_Swath_5km= 0 ..405] [ Cell_Across_Swath_5km= 0 ..270] (Type is Int16) attributes coordinates: Latitude Longitude _FillValue: -9999 valid_range: 0, 10000 long_name: Cloud Optical Thickness two-channel retrieval using band 6(1.6um) and either band 1(0.65um), 2(0.86um), or 5(1.2um) (specified in Quality_Assurance_1km)from points identified as either partly cloudy from 250m cloud mask test or 1km cloud edges units: none Parameter_Type: Output Cell_Along_Swath_Sampling: 4, 2029, 5 Cell_Across_Swath_Sampling: 3, 1353, 5 Geolocation_Pointer: External MODIS geolocation product scale_factor: 0.0099999997764825821 add_offset: 0.0000000000000000 Cloud_Optical_Thickness_37[ Cell_Along_Swath_5km= 0 ..405] [ Cell_Across_Swath_5km= 0 ..270] (Type is Int16) attributes coordinates: Latitude Longitude _FillValue: -9999 valid_range: 0, 10000 long_name: Cloud Optical Thickness two-channel retrieval using band 20(3.7um) and either band 1(0.65um), 2(0.86um), or 5(1.2um) (specified in Quality_Assurance_1km)from best points: not failed in any way, not marked for clear sky restoral units: none Parameter_Type: Output Cell_Along_Swath_Sampling: 4, 2029, 5 Cell_Across_Swath_Sampling: 3, 1353, 5 Geolocation_Pointer: External MODIS geolocation product scale_factor: 0.0099999997764825821 add_offset: 0.0000000000000000 Cloud_Optical_Thickness_37_PCL[ Cell_Along_Swath_5km= 0 ..405] [ Cell_Across_Swath_5km= 0 ..270] (Type is Int16) attributes coordinates: Latitude Longitude _FillValue: -9999 valid_range: 0, 10000 long_name: Cloud Optical Thickness two-channel retrieval using band 20(3.7um) and either band 1(0.65um), 2(0.86um), or 5(1.2um) (specified in Quality_Assurance_1km)from points identified as either partly cloudy from 250m cloud mask test or 1km cloud edges units: none Parameter_Type: Output Cell_Along_Swath_Sampling: 4, 2029, 5 Cell_Across_Swath_Sampling: 3, 1353, 5 Geolocation_Pointer: External MODIS geolocation product scale_factor: 0.0099999997764825821 add_offset: 0.0000000000000000 Cloud_Optical_Thickness_Uncertainty_16[ Cell_Along_Swath_5km= 0 ..405] [ Cell_Across_Swath_5km= 0 ..270] (Type is Int16) attributes coordinates: Latitude Longitude _FillValue: -9999 valid_range: 0, 20000 long_name: Cloud Optical Thickness Relative Uncertainty (Percent)from both best points and points identified as cloud edge at 1km resolution or partly cloudy at 250m based on the Cloud_Optical_Thickness_16 and Cloud_Effective_Radius_16 results units: percent Parameter_Type: Output Cell_Along_Swath_Sampling: 4, 2029, 5 Cell_Across_Swath_Sampling: 3, 1353, 5 Geolocation_Pointer: External MODIS geolocation product scale_factor: 0.0099999997764825821 add_offset: 0.0000000000000000 Cloud_Optical_Thickness_Uncertainty_37[ Cell_Along_Swath_5km= 0 ..405] [ Cell_Across_Swath_5km= 0 ..270] (Type is Int16) attributes coordinates: Latitude Longitude _FillValue: -9999 valid_range: 0, 20000 long_name: Cloud Optical Thickness Relative Uncertainty (Percent)from both best points and points identified as cloud edge at 1km resolution or partly cloudy at 250m based on the Cloud_Optical_Thickness_37 and Cloud_Effective_Radius_37 results units: percent Parameter_Type: Output Cell_Along_Swath_Sampling: 4, 2029, 5 Cell_Across_Swath_Sampling: 3, 1353, 5 Geolocation_Pointer: External MODIS geolocation product scale_factor: 0.0099999997764825821 add_offset: 0.0000000000000000 Cloud_Effective_Radius_PCL[ Cell_Along_Swath_5km= 0 ..405] [ Cell_Across_Swath_5km= 0 ..270] (Type is Int16) attributes coordinates: Latitude Longitude _FillValue: -9999 valid_range: 0, 10000 long_name: Cloud Particle Effective Radius two-channel retrieval using band 7(2.1um) and either band 1(0.65um), 2(0.86um), or 5(1.2um) (specified in Quality_Assurance_1km)from points identified as either partly cloudy from 250m cloud mask test or 1km cloud edges units: micron Parameter_Type: Output Cell_Along_Swath_Sampling: 4, 2029, 5 Cell_Across_Swath_Sampling: 3, 1353, 5 Geolocation_Pointer: External MODIS geolocation product scale_factor: 0.0099999997764825821 add_offset: 0.0000000000000000 Cloud_Effective_Radius_16[ Cell_Along_Swath_5km= 0 ..405] [ Cell_Across_Swath_5km= 0 ..270] (Type is Int16) attributes coordinates: Latitude Longitude _FillValue: -9999 valid_range: 0, 10000 long_name: Cloud Particle Effective Radius two-channel retrieval using band 6(1.6um) and either band 1(0.65um), 2(0.86um), or 5(1.2um) (specified in Quality_Assurance_1km)from best points: not failed in any way, not marked for clear sky restoral units: micron Parameter_Type: Output Cell_Along_Swath_Sampling: 4, 2029, 5 Cell_Across_Swath_Sampling: 3, 1353, 5 Geolocation_Pointer: External MODIS geolocation product scale_factor: 0.0099999997764825821 add_offset: 0.0000000000000000 Cloud_Effective_Radius_16_PCL[ Cell_Along_Swath_5km= 0 ..405] [ Cell_Across_Swath_5km= 0 ..270] (Type is Int16) attributes coordinates: Latitude Longitude _FillValue: -9999 valid_range: 0, 10000 long_name: Cloud Particle Effective Radius two-channel retrieval using band 6(1.6um) and either band 1(0.65um), 2(0.86um), or 5(1.2um) (specified in Quality_Assurance_1km)from points identified as either partly cloudy from 250m cloud mask test or 1km cloud edges units: micron Parameter_Type: Output Cell_Along_Swath_Sampling: 4, 2029, 5 Cell_Across_Swath_Sampling: 3, 1353, 5 Geolocation_Pointer: External MODIS geolocation product scale_factor: 0.0099999997764825821 add_offset: 0.0000000000000000 Cloud_Effective_Radius_37[ Cell_Along_Swath_5km= 0 ..405] [ Cell_Across_Swath_5km= 0 ..270] (Type is Int16) attributes coordinates: Latitude Longitude _FillValue: -9999 valid_range: 0, 10000 long_name: Cloud Particle Effective Radius two-channel retrieval using band 20(3.7um) and either band 1(0.65um), 2(0.86um), or 5(1.2um) (specified in Quality_Assurance_1km)from best points: not failed in any way, not marked for clear sky restoral units: micron Parameter_Type: Output Cell_Along_Swath_Sampling: 4, 2029, 5 Cell_Across_Swath_Sampling: 3, 1353, 5 Geolocation_Pointer: External MODIS geolocation product scale_factor: 0.0099999997764825821 add_offset: 0.0000000000000000 Cloud_Effective_Radius_37_PCL[ Cell_Along_Swath_5km= 0 ..405] [ Cell_Across_Swath_5km= 0 ..270] (Type is Int16) attributes coordinates: Latitude Longitude _FillValue: -9999 valid_range: 0, 10000 long_name: Cloud Particle Effective Radius two-channel retrieval using band 20(3.7um) and either band 1(0.65um), 2(0.86um), or 5(1.2um) (specified in Quality_Assurance_1km)from points identified as either partly cloudy from 250m cloud mask test or 1km cloud edges units: micron Parameter_Type: Output Cell_Along_Swath_Sampling: 4, 2029, 5 Cell_Across_Swath_Sampling: 3, 1353, 5 Geolocation_Pointer: External MODIS geolocation product scale_factor: 0.0099999997764825821 add_offset: 0.0000000000000000 Cloud_Effective_Radius_Uncertainty_16[ Cell_Along_Swath_5km= 0 ..405] [ Cell_Across_Swath_5km= 0 ..270] (Type is Int16) attributes coordinates: Latitude Longitude _FillValue: -9999 valid_range: 0, 20000 long_name: Cloud Effective Particle Radius (from band 6(1.6um) Relative Uncertainty (Percent)from both best points and points identified as cloud edge at 1km resolution or partly cloudy at 250m units: percent Parameter_Type: Output Cell_Along_Swath_Sampling: 4, 2029, 5 Cell_Across_Swath_Sampling: 3, 1353, 5 Geolocation_Pointer: External MODIS geolocation product scale_factor: 0.0099999997764825821 add_offset: 0.0000000000000000 Cloud_Effective_Radius_Uncertainty_37[ Cell_Along_Swath_5km= 0 ..405] [ Cell_Across_Swath_5km= 0 ..270] (Type is Int16) attributes coordinates: Latitude Longitude _FillValue: -9999 valid_range: 0, 20000 long_name: Cloud Effective Particle Radius (from band 20(3.7um)) Relative Uncertainty (Percent)from both best points and points identified as cloud edge at 1km resolution or partly cloudy at 250m units: percent Parameter_Type: Output Cell_Along_Swath_Sampling: 4, 2029, 5 Cell_Across_Swath_Sampling: 3, 1353, 5 Geolocation_Pointer: External MODIS geolocation product scale_factor: 0.0099999997764825821 add_offset: 0.0000000000000000 Cloud_Water_Path_PCL[ Cell_Along_Swath_5km= 0 ..405] [ Cell_Across_Swath_5km= 0 ..270] (Type is Int16) attributes coordinates: Latitude Longitude _FillValue: -9999 valid_range: 0, 10000 long_name: Column Water Path two-channel retrieval using band 7(2.1um) and either band 1(0.65um), 2(0.86um), or 5(1.2um) (specified in Quality_Assurance_1km)from points identified as either partly cloudy from 250m cloud mask test or 1km cloud edges units: g/m^2 Parameter_Type: Output Cell_Along_Swath_Sampling: 4, 2029, 5 Cell_Across_Swath_Sampling: 3, 1353, 5 Geolocation_Pointer: External MODIS geolocation product scale_factor: 1.0000000000000000 add_offset: 0.0000000000000000 Cloud_Water_Path_16[ Cell_Along_Swath_5km= 0 ..405] [ Cell_Across_Swath_5km= 0 ..270] (Type is Int16) attributes coordinates: Latitude Longitude _FillValue: -9999 valid_range: 0, 10000 long_name: Column Water Path two-channel retrieval using band 6(1.6um) and either band 1(0.65um), 2(0.86um), or 5(1.2um) (specified in Quality_Assurance_1km)from best points: not failed in any way, not marked for clear sky restoral units: g/m^2 Parameter_Type: Output Cell_Along_Swath_Sampling: 4, 2029, 5 Cell_Across_Swath_Sampling: 3, 1353, 5 Geolocation_Pointer: External MODIS geolocation product scale_factor: 1.0000000000000000 add_offset: 0.0000000000000000 Cloud_Water_Path_16_PCL[ Cell_Along_Swath_5km= 0 ..405] [ Cell_Across_Swath_5km= 0 ..270] (Type is Int16) attributes coordinates: Latitude Longitude _FillValue: -9999 valid_range: 0, 10000 long_name: Column Water Path two-channel retrieval using band 6(1.6um) and either band 1(0.65um), 2(0.86um), or 5(1.2um) (specified in Quality_Assurance_1km)from points identified as either partly cloudy from 250m cloud mask test or 1km cloud edges units: g/m^2 Parameter_Type: Output Cell_Along_Swath_Sampling: 4, 2029, 5 Cell_Across_Swath_Sampling: 3, 1353, 5 Geolocation_Pointer: External MODIS geolocation product scale_factor: 1.0000000000000000 add_offset: 0.0000000000000000 Cloud_Water_Path_37[ Cell_Along_Swath_5km= 0 ..405] [ Cell_Across_Swath_5km= 0 ..270] (Type is Int16) attributes coordinates: Latitude Longitude _FillValue: -9999 valid_range: 0, 10000 long_name: Column Water Path two-channel retrieval using band 20(3.7um) and either band 1(0.65um), 2(0.86um), or 5(1.2um) (specified in Quality_Assurance_1km)from best points: not failed in any way, not marked for clear sky restoral units: g/m^2 Parameter_Type: Output Cell_Along_Swath_Sampling: 4, 2029, 5 Cell_Across_Swath_Sampling: 3, 1353, 5 Geolocation_Pointer: External MODIS geolocation product scale_factor: 1.0000000000000000 add_offset: 0.0000000000000000 Cloud_Water_Path_37_PCL[ Cell_Along_Swath_5km= 0 ..405] [ Cell_Across_Swath_5km= 0 ..270] (Type is Int16) attributes coordinates: Latitude Longitude _FillValue: -9999 valid_range: 0, 10000 long_name: Column Water Path two-channel retrieval using band 20(3.7um) and either band 1(0.65um), 2(0.86um), or 5(1.2um) (specified in Quality_Assurance_1km)from points identified as either partly cloudy from 250m cloud mask test or 1km cloud edges units: g/m^2 Parameter_Type: Output Cell_Along_Swath_Sampling: 4, 2029, 5 Cell_Across_Swath_Sampling: 3, 1353, 5 Geolocation_Pointer: External MODIS geolocation product scale_factor: 1.0000000000000000 add_offset: 0.0000000000000000 Cloud_Water_Path_Uncertainty_16[ Cell_Along_Swath_5km= 0 ..405] [ Cell_Across_Swath_5km= 0 ..270] (Type is Int16) attributes coordinates: Latitude Longitude _FillValue: -9999 valid_range: 0, 20000 long_name: Cloud Water Path Relative Uncertainty (Percent)from both best points and points identified as cloud edge at 1km resolution or partly cloudy at 250m using the VNSWIR-1.6um retrieval units: percent Parameter_Type: Output Cell_Along_Swath_Sampling: 4, 2029, 5 Cell_Across_Swath_Sampling: 3, 1353, 5 Geolocation_Pointer: External MODIS geolocation product scale_factor: 0.0099999997764825821 add_offset: 0.0000000000000000 Cloud_Water_Path_Uncertainty_37[ Cell_Along_Swath_5km= 0 ..405] [ Cell_Across_Swath_5km= 0 ..270] (Type is Int16) attributes coordinates: Latitude Longitude _FillValue: -9999 valid_range: 0, 20000 long_name: Cloud Water Path Relative Uncertainty (Percent)from both best points and points identified as cloud edge at 1km resolution or partly cloudy at 250m using the VNSWIR-3.7um retrieval units: percent Parameter_Type: Output Cell_Along_Swath_Sampling: 4, 2029, 5 Cell_Across_Swath_Sampling: 3, 1353, 5 Geolocation_Pointer: External MODIS geolocation product scale_factor: 0.0099999997764825821 add_offset: 0.0000000000000000 Cloud_Top_Pressure_1km[ Cell_Along_Swath_5km= 0 ..405] [ Cell_Across_Swath_5km= 0 ..270] (Type is Int16) attributes coordinates: Latitude Longitude _FillValue: -999 valid_range: 10, 11000 long_name: Cloud Top Pressure at 1-km resolution from LEOCAT, Cloud Top Pressure Level rounded to nearest 5 mb units: hPa Parameter_Type: Output Cell_Along_Swath_Sampling: 4, 2029, 5 Cell_Across_Swath_Sampling: 3, 1353, 5 Geolocation_Pointer: External MODIS geolocation product scale_factor: 0.10000000149011612 add_offset: 0.0000000000000000 Cloud_Top_Temperature_1km[ Cell_Along_Swath_5km= 0 ..405] [ Cell_Across_Swath_5km= 0 ..270] (Type is Int16) attributes coordinates: Latitude Longitude _FillValue: -999 valid_range: 0, 20000 long_name: Cloud Top Temperature at 1-km resolution from LEOCAT, Temperature from Ancillary Data at Retrieved Cloud Top Pressure Level units: K Parameter_Type: Output Cell_Along_Swath_Sampling: 4, 2029, 5 Cell_Across_Swath_Sampling: 3, 1353, 5 Geolocation_Pointer: External MODIS geolocation product scale_factor: 0.0099999997764825821 add_offset: 149.99999664723873 Cloud_Top_Height_1km[ Cell_Along_Swath_5km= 0 ..405] [ Cell_Across_Swath_5km= 0 ..270] (Type is Int16) attributes coordinates: Latitude Longitude _FillValue: -999 valid_range: 0, 18000 long_name: Cloud Top Height at 1-km resolution from LEOCAT, Geopotential Height at Retrieved Cloud Top Pressure Level rounded to nearest 50 m units: meters Parameter_Type: Output Cell_Along_Swath_Sampling: 4, 2029, 5 Cell_Across_Swath_Sampling: 3, 1353, 5 Geolocation_Pointer: External MODIS geolocation product scale_factor: 1.0000000000000000 add_offset: 0.0000000000000000 Surface_Temperature_1km[ Cell_Along_Swath_5km= 0 ..405] [ Cell_Across_Swath_5km= 0 ..270] (Type is Int16) attributes coordinates: Latitude Longitude _FillValue: -999 valid_range: 0, 20000 long_name: Surface Temperature for Each 1-km MODIS Pixel Interplated from Ancillary Data units: K Parameter_Type: Non MODIS Input Cell_Along_Swath_Sampling: 4, 2029, 5 Cell_Across_Swath_Sampling: 3, 1353, 5 Geolocation_Pointer: External MODIS geolocation product scale_factor: 0.0099999997764825821 add_offset: 149.99999664723873 OS_Top_Flag_1km[ Cell_Along_Swath_5km= 0 ..405] [ Cell_Across_Swath_5km= 0 ..270] (Type is Int32) attributes coordinates: Latitude Longitude _FillValue: 127 valid_range: 0, 2 long_name: Upper Tropospheric/Lower Stratospheric (UTLS) Cloud Flag at 1-km resolution - valid from -50 to +50 Degrees Latitude units: none Parameter_Type: Output Cell_Along_Swath_Sampling: 4, 2029, 5 Cell_Across_Swath_Sampling: 3, 1353, 5 Geolocation_Pointer: External geolocation arrays description: \n The values in this SDS indicate the following: 0 -- stratospheric cloud test not performed 1 -- stratospheric cloud not indicated 2 -- stratospheric cloud indicated (BTD35-33 > 0.5K) scale_factor: 1.0000000000000000 add_offset: 0.0000000000000000 Cloud_Mask_SPI[ Cell_Along_Swath_5km= 0 ..405] [ Cell_Across_Swath_5km= 0 ..270] [ SPI_nband= 0 ..1] (Type is Int16) attributes coordinates: Latitude Longitude SPI_nband _FillValue: -9999 valid_range: 0, 20000 long_name: Dispersion in bands 1 (plane 1) and 2 (plane 2) from 250m reflectance statistics of cloud mask units: percent Parameter_Type: Output Cell_Along_Swath_Sampling: 4, 2029, 5 Cell_Across_Swath_Sampling: 3, 1353, 5 Geolocation_Pointer: External MODIS geolocation product scale_factor: 0.0099999997764825821 add_offset: 0.0000000000000000 Cloud_Multi_Layer_Flag[ Cell_Along_Swath_5km= 0 ..405] [ Cell_Across_Swath_5km= 0 ..270] (Type is Int32) attributes coordinates: Latitude Longitude _FillValue: 0 valid_range: 0, 9 long_name: Cloud Multi Layer Identification From MODIS Shortwave Observations units: none Parameter_Type: Output Cell_Along_Swath_Sampling: 4, 2029, 5 Cell_Across_Swath_Sampling: 3, 1353, 5 Geolocation_Pointer: External MODIS geolocation product description: \n Flag for multi-layer multi-phase cloud situations. Values 2 through 9 indicate the success of various multi-layer cloud tests. Value of 0 indicates no retrieval, value of 1 indicates single layer cloud. The other values are of increasing confidence level. scale_factor: 1.0000000000000000 add_offset: 0.0000000000000000 Cloud_Phase_Infrared_1km[ Cell_Along_Swath_5km= 0 ..405] [ Cell_Across_Swath_5km= 0 ..270] (Type is Int32) attributes coordinates: Latitude Longitude _FillValue: 127 valid_range: 0, 6 long_name: Cloud Phase at 1-km resolution from 8.5- 11 um BTDs and cloud emissivity ratios (12/11, 8.5/11, and 7.2/11 um) units: none Parameter_Type: Output Cell_Along_Swath_Sampling: 4, 2029, 5 Cell_Across_Swath_Sampling: 3, 1353, 5 Geolocation_Pointer: External geolocation arrays description: \n The values in this SDS indicate the following cloud phase: 0 -- cloud free 1 -- water cloud 2 -- ice cloud 3 -- mixed phase cloud 6 -- undetermined phase scale_factor: 1.0000000000000000 add_offset: 0.0000000000000000 Cloud_Top_Height[ Cell_Along_Swath_5km= 0 ..405] [ Cell_Across_Swath_5km= 0 ..270] (Type is Int16) attributes coordinates: Latitude Longitude _FillValue: -32767 valid_range: 0, 18000 long_name: Geopotential Height at Retrieved Cloud Top Pressure Level (rounded to nearest 50 m) units: meters Parameter_Type: Output Cell_Along_Swath_Sampling: 3, 2028, 5 Cell_Across_Swath_Sampling: 3, 1348, 5 Geolocation_Pointer: Internal geolocation arrays scale_factor: 1.0000000000000000 add_offset: 0.0000000000000000 Cloud_Height_Method[ Cell_Along_Swath_5km= 0 ..405] [ Cell_Across_Swath_5km= 0 ..270] (Type is Int32) attributes coordinates: Latitude Longitude _FillValue: 127 valid_range: 1, 6 long_name: Index Indicating MODIS Bands Used for Cloud Top Pressure Retrieval units: none Parameter_Type: Output Cell_Along_Swath_Sampling: 3, 2028, 5 Cell_Across_Swath_Sampling: 3, 1348, 5 Geolocation_Pointer: Internal geolocation arrays description: \n The values in this SDS are set to mean the following: 1 -- CO2-slicing retrieval, bands 36/35 2 -- CO2-slicing retrieval, bands 35/34 3 -- CO2-slicing retrieval, bands 35/33 4 -- CO2-slicing retrieval, bands 34/33 6 -- IR-window retrieval, band 31 scale_factor: 1.0000000000000000 add_offset: 0.0000000000000000 Infrared_obs_minus_calc[ Band_Forcing= 0 ..4] [ Cell_Along_Swath_5km= 0 ..405] [ Cell_Across_Swath_5km= 0 ..270] (Type is Int16) attributes coordinates: Band_Forcing Latitude Longitude _FillValue: -32768 valid_range: -2000, 2000 long_name: Spectral Cloud Forcing (cloud minus clear radiance) units: Watts/meter2/steradian/micron Parameter_Type: Output Cell_Along_Swath_Sampling: 3, 2028, 5 Cell_Across_Swath_Sampling: 3, 1348, 5 Geolocation_Pointer: Internal geolocation arrays description: \n Spectral cloud forcing, cloudy-clear radiance, each channel in order: 36, 35, 34, 33 and 31 for Band_Forcing dimension reference scale_factor: 0.0099999997764825821 add_offset: 0.0000000000000000 Cloud_Optical_Thickness_1621_PCL[ Cell_Along_Swath_5km= 0 ..405] [ Cell_Across_Swath_5km= 0 ..270] (Type is Int16) attributes coordinates: Latitude Longitude _FillValue: -9999 valid_range: 0, 10000 long_name: Cloud Optical Thickness two-channel retrieval using band 7(2.1um) and band 6(1.6um)from points identified as either partly cloudy from 250m cloud mask test or 1km cloud edges units: none Parameter_Type: Output Cell_Along_Swath_Sampling: 4, 2029, 5 Cell_Across_Swath_Sampling: 3, 1353, 5 Geolocation_Pointer: External MODIS geolocation product scale_factor: 0.0099999997764825821 add_offset: 0.0000000000000000 Cloud_Effective_Radius_1621_PCL[ Cell_Along_Swath_5km= 0 ..405] [ Cell_Across_Swath_5km= 0 ..270] (Type is Int16) attributes coordinates: Latitude Longitude _FillValue: -9999 valid_range: 0, 10000 long_name: Cloud Particle Effective Radius two-channel retrieval using band 7(2.1um) and band 6(1.6um)from points identified as either partly cloudy from 250m cloud mask test or 1km cloud edges units: micron Parameter_Type: Output Cell_Along_Swath_Sampling: 4, 2029, 5 Cell_Across_Swath_Sampling: 3, 1353, 5 Geolocation_Pointer: External MODIS geolocation product scale_factor: 0.0099999997764825821 add_offset: 0.0000000000000000 Cloud_Water_Path_1621_PCL[ Cell_Along_Swath_5km= 0 ..405] [ Cell_Across_Swath_5km= 0 ..270] (Type is Int16) attributes coordinates: Latitude Longitude _FillValue: -9999 valid_range: 0, 10000 long_name: Column Water Path two-channel retrieval using band 7(2.1um) and band 6(1.6um)from points identified as either partly cloudy from 250m cloud mask test or 1km cloud edges units: g/m^2 Parameter_Type: Output Cell_Along_Swath_Sampling: 4, 2029, 5 Cell_Across_Swath_Sampling: 3, 1353, 5 Geolocation_Pointer: External MODIS geolocation product scale_factor: 1.0000000000000000 add_offset: 0.0000000000000000 Retrieval_Failure_Metric[ Cell_Along_Swath_5km= 0 ..405] [ Cell_Across_Swath_5km= 0 ..270] [ RFM_nband= 0 ..2] (Type is Int16) attributes coordinates: Latitude Longitude RFM_nband _FillValue: -9999 valid_range: 0, 20000 long_name: Retrievals and other information for points that failed to retrievevia standard solution logic for retrieval using band 7 and either band 1, 2, or 5 (specified in Quality_Assurance_1km) units: by plane in order: 1-none, 2-micron, 3-percent Parameter_Type: Output Cell_Along_Swath_Sampling: 4, 2029, 5 Cell_Across_Swath_Sampling: 3, 1353, 5 Geolocation_Pointer: External MODIS geolocation product description: \n The individual planes in this SDS are set to contain the following: 1 -- Cloud Optical Thickness 2 -- Cloud Effective Radius 3 -- Relative distance of failed retrieval from the library space as percentage of reflectance scale_factor: 0.0099999997764825821 add_offset: 0.0000000000000000 Retrieval_Failure_Metric_16[ Cell_Along_Swath_5km= 0 ..405] [ Cell_Across_Swath_5km= 0 ..270] [ RFM_nband= 0 ..2] (Type is Int16) attributes coordinates: Latitude Longitude RFM_nband _FillValue: -9999 valid_range: 0, 20000 long_name: Retrievals and other information for points that failed to retrievevia standard solution logic for retrieval using band 6 and either band 1, 2, or 5 (specified in Quality_Assurance_1km) units: by plane in order: 1-none, 2-micron, 3-percent Parameter_Type: Output Cell_Along_Swath_Sampling: 4, 2029, 5 Cell_Across_Swath_Sampling: 3, 1353, 5 Geolocation_Pointer: External MODIS geolocation product description: \n The individual planes in this SDS are set to contain the following: 1 -- Cloud Optical Thickness 2 -- Cloud Effective Radius 3 -- Relative distance of failed retrieval from the library space as percentage of reflectance scale_factor: 0.0099999997764825821 add_offset: 0.0000000000000000 Retrieval_Failure_Metric_37[ Cell_Along_Swath_5km= 0 ..405] [ Cell_Across_Swath_5km= 0 ..270] [ RFM_nband= 0 ..2] (Type is Int16) attributes coordinates: Latitude Longitude RFM_nband _FillValue: -9999 valid_range: 0, 20000 long_name: Retrievals and other information for points that failed to retrievevia standard solution logic for retrieval using band 20 and either band 1, 2, or 5 (specified in Quality_Assurance_1km) units: by plane in order: 1-none, 2-micron, 3-percent Parameter_Type: Output Cell_Along_Swath_Sampling: 4, 2029, 5 Cell_Across_Swath_Sampling: 3, 1353, 5 Geolocation_Pointer: External MODIS geolocation product description: \n The individual planes in this SDS are set to contain the following: 1 -- Cloud Optical Thickness 2 -- Cloud Effective Radius 3 -- Relative distance of failed retrieval from the library space as percentage of reflectance scale_factor: 0.0099999997764825821 add_offset: 0.0000000000000000 Retrieval_Failure_Metric_1621[ Cell_Along_Swath_5km= 0 ..405] [ Cell_Across_Swath_5km= 0 ..270] [ RFM_nband= 0 ..2] (Type is Int16) attributes coordinates: Latitude Longitude RFM_nband _FillValue: -9999 valid_range: 0, 20000 long_name: Retrievals and other information for points that failed to retrievevia standard solution logic for retrieval using band 6 and band 7 units: by plane in order: 1-none, 2-micron, 3-percent Parameter_Type: Output Cell_Along_Swath_Sampling: 4, 2029, 5 Cell_Across_Swath_Sampling: 3, 1353, 5 Geolocation_Pointer: External MODIS geolocation product description: \n The individual planes in this SDS are set to contain the following: 1 -- Cloud Optical Thickness 2 -- Cloud Effective Radius 3 -- Relative distance of failed retrieval from the library space as percentage of reflectance scale_factor: 0.0099999997764825821 add_offset: 0.0000000000000000 Latitude[ Cell_Along_Swath_5km= 0 ..405] [ Cell_Across_Swath_5km= 0 ..270] (Type is Float32) attributes units: degrees_north long_name: Latitude _FillValue: -999.0000000 valid_range: -90.00000000, 90.00000000 Longitude[ Cell_Along_Swath_5km= 0 ..405] [ Cell_Across_Swath_5km= 0 ..270] (Type is Float32) attributes units: degrees_east long_name: Longitude _FillValue: -999.0000000 valid_range: -180.0000000, 180.0000000 QA_Parameter_5km[ QA_Parameter_5km= 0 ..8] (Type is Int32) attributes units: level long_name: QA_Parameter_5km(fake) Byte_Segment[ Byte_Segment= 0 ..0] (Type is Int32) attributes units: level long_name: Byte_Segment(fake) QA_Byte_Land[ QA_Byte_Land= 0 ..5] (Type is Int32) attributes units: level long_name: QA_Byte_Land(fake) QA_Byte_Ocean[ QA_Byte_Ocean= 0 ..4] (Type is Int32) attributes units: level long_name: QA_Byte_Ocean(fake) Num_DeepBlue_Wavelengths[ Num_DeepBlue_Wavelengths= 0 ..2] (Type is Int32) attributes units: level long_name: Num_DeepBlue_Wavelengths(fake) SPI_nband[ SPI_nband= 0 ..1] (Type is Int32) attributes units: level long_name: SPI_nband(fake) Band_Forcing[ Band_Forcing= 0 ..4] (Type is Int32) attributes units: level long_name: Band_Forcing(fake) RFM_nband[ RFM_nband= 0 ..2] (Type is Int32) attributes units: level long_name: RFM_nband(fake)

dataset: MYDATML2.A2011295.0915.061.2018034055656.hdf

OPeNDAP Hyrax (1.16.8-419)
Documentation Questions? Contact Support

dataset: MYDATML2.A2011295.0915.061.2018034055656.hdf

OPeNDAP Hyrax (1.16.8-419) Documentation Questions? Contact Support

OPeNDAP Hyrax (1.16.8-419)
Documentation Questions? Contact Support