DAP4 Data Request Form MYDATML2.A2004225.0805.061.2018015221255.hdf
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OPeNDAP DAP4 Data Request Form

dataset: MYDATML2.A2004225.0805.061.2018015221255.hdf




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      • HDF_GLOBAL
        • HDFEOSVersion: HDFEOS_V2.19
        • identifier_product_doi: 10.5067/MODIS/MYDATML2.061
        • identifier_product_doi_authority: http://dx.doi.org


[ /Cell_Along_Swath_5km = 0..405 ] [ /Cell_Across_Swath_5km = 0..270 ] [ /QA_Parameter_5km = 0..8 ] [ /Byte_Segment = 0..0 ] [ /SPI_nband = 0..1 ] [ /Band_Forcing = 0..4 ] [ /RFM_nband = 0..2 ]


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: 3, 2028, 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.A2004225.0805.061.2018015221241.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: 3, 2028, 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.A2004225.0805.061.2018015221241.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: 3, 2028, 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.A2004225.0805.061.2018015221241.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: 3, 2028, 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.A2004225.0805.061.2018015221241.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: 3, 2028, 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.A2004225.0805.061.2018015221241.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: 3, 2028, 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.A2004225.0805.061.2018015221241.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: 3, 2028, 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.A2004225.0805.061.2018015221241.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: 3, 2028, 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.A2004225.0805.061.2018015221241.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: 3, 2028, 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.A2004225.0805.061.2018015221241.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: 3, 2028, 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.A2004225.0805.061.2018015221241.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: 3, 2028, 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.A2004225.0805.061.2018015221241.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: 3, 2028, 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.A2004225.0805.061.2018015221241.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: 3, 2028, 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.A2004225.0805.061.2018015221241.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.A2004225.0805.061.2018015221241.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.A2004225.0805.061.2018015221241.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: 3, 2028, 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.A2004225.0805.061.2018015221241.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.A2004225.0805.061.2018015221241.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.A2004225.0805.061.2018015221241.hdf pge06v6.1.4 Cloud_Top_Temperature
    • scale_factor: 0.0099999997764825821
    • add_offset: 150.00000000000000
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.A2004225.0805.061.2018015221241.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.A2004225.0805.061.2018015101511.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.A2004225.0805.061.2018015101436.hdf pge03v6.1.1 Cloud_Mask
    • scale_factor: 1.0000000000000000
    • 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: 150.00000000000000
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
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: 150.00000000000000
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: 150.00000000000000
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)
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)

debug
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OPeNDAP Hyrax (1.16.5)
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