meta for node/opendap/w10n/allData/61/MYDATML2/2015/120/MYDATML2.A2015120.1535.061.2018050000648.hdf

Latitude Longitude

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

none

0

10000

-9999

Output

4

2029

5

3

1348

5

External MODIS geolocation product

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.

MYD06_L2.A2015120.1535.061.2018050000609.hdf pge06v6.1.4 Cloud_Optical_Thickness

0.0099999997764825821

0.0000000000000000

Latitude Longitude

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

micron

0

10000

-9999

Output

4

2029

5

3

1348

5

External MODIS geolocation product

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.

MYD06_L2.A2015120.1535.061.2018050000609.hdf pge06v6.1.4 Cloud_Effective_Radius

0.0099999997764825821

0.0000000000000000

Latitude Longitude

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

g/m^2

0

10000

-9999

Output

4

2029

5

3

1348

5

External MODIS geolocation product

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.

MYD06_L2.A2015120.1535.061.2018050000609.hdf pge06v6.1.4 Cloud_Water_Path

1.0000000000000000

0.0000000000000000

Latitude Longitude

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

none

0

10000

-9999

Output

4

2029

5

3

1348

5

External MODIS geolocation product

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.

MYD06_L2.A2015120.1535.061.2018050000609.hdf pge06v6.1.4 Cloud_Optical_Thickness_1621

0.0099999997764825821

0.0000000000000000

Latitude Longitude

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

micron

0

10000

-9999

Output

4

2029

5

3

1348

5

External MODIS geolocation product

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.

MYD06_L2.A2015120.1535.061.2018050000609.hdf pge06v6.1.4 Cloud_Effective_Radius_1621

0.0099999997764825821

0.0000000000000000

Latitude Longitude

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

g/m^2

0

10000

-9999

Output

4

2029

5

3

1348

5

External MODIS geolocation product

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.

MYD06_L2.A2015120.1535.061.2018050000609.hdf pge06v6.1.4 Cloud_Water_Path_1621

1.0000000000000000

0.0000000000000000

Latitude Longitude

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

percent

0

20000

-9999

Output

4

2029

5

3

1348

5

External MODIS geolocation product

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.

MYD06_L2.A2015120.1535.061.2018050000609.hdf pge06v6.1.4 Cloud_Optical_Thickness_Uncertainty

0.0099999997764825821

0.0000000000000000

Latitude Longitude

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

percent

0

20000

-9999

Output

4

2029

5

3

1348

5

External MODIS geolocation product

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.

MYD06_L2.A2015120.1535.061.2018050000609.hdf pge06v6.1.4 Cloud_Effective_Radius_Uncertainty

0.0099999997764825821

0.0000000000000000

Latitude Longitude

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

percent

0

20000

-9999

Output

4

2029

5

3

1348

5

External MODIS geolocation product

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.

MYD06_L2.A2015120.1535.061.2018050000609.hdf pge06v6.1.4 Cloud_Water_Path_Uncertainty

0.0099999997764825821

0.0000000000000000

Latitude Longitude

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

percent

0

20000

-9999

Output

4

2029

5

3

1348

5

External MODIS geolocation product

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.

MYD06_L2.A2015120.1535.061.2018050000609.hdf pge06v6.1.4 Cloud_Optical_Thickness_Uncertainty_1621

0.0099999997764825821

0.0000000000000000

Latitude Longitude

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

percent

0

20000

-9999

Output

4

2029

5

3

1348

5

External MODIS geolocation product

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.

MYD06_L2.A2015120.1535.061.2018050000609.hdf pge06v6.1.4 Cloud_Effective_Radius_Uncertainty_1621

0.0099999997764825821

0.0000000000000000

Latitude Longitude

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

percent

0

20000

-9999

Output

4

2029

5

3

1348

5

External MODIS geolocation product

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.

MYD06_L2.A2015120.1535.061.2018050000609.hdf pge06v6.1.4 Cloud_Water_Path_Uncertainty_1621

0.0099999997764825821

0.0000000000000000

Latitude Longitude

Cloud Phase Determination Used in Optical Thickness/Effective Radius Retrieval

none

0

4

0

Output

4

2029

5

3

1348

5

External MODIS geolocation product

\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

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.

MYD06_L2.A2015120.1535.061.2018050000609.hdf pge06v6.1.4 Cloud_Phase_Optical_Properties

1.0000000000000000

0.0000000000000000

Latitude Longitude

Cloud Phase from 8.5 and 11 um Bands

none

0

6

127

Output

3

2028

5

3

1348

5

Internal geolocation arrays

MYD06_L2.A2015120.1535.061.2018050000609.hdf pge06v6.1.4 Cloud_Phase_Infrared

1.0000000000000000

0.0000000000000000

Latitude Longitude QA_Parameter_5km

Cloud Quality Assurance at 5km Resolution

none

0

-1

0

Output

4

2029

5

3

1348

5

External MODIS geolocation product

\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

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.

MYD06_L2.A2015120.1535.061.2018050000609.hdf pge06v6.1.4 Quality_Assurance_1km

1.0000000000000000

0.0000000000000000

Latitude Longitude

Cirrus Reflectance

none

0

8000

-9999

Output

4

2029

5

3

1348

5

External MODIS geolocation product

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.

MYD06_L2.A2015120.1535.061.2018050000609.hdf pge06v6.1.4 Cirrus_Reflectance

0.00019999999494757503

0.0000000000000000

Latitude Longitude

Cloud Top Pressure Level (rounded to nearest 5 mb)

hPa

10

11000

-32768

Output

3

2028

5

3

1348

5

Internal geolocation arrays

MYD06_L2.A2015120.1535.061.2018050000609.hdf pge06v6.1.4 Cloud_Top_Pressure

0.10000000149011612

0.0000000000000000

Latitude Longitude

Temperature from Ancillary Data at Retrieved Cloud Top Pressure Level

K

0

20000

-32768

Output

3

2028

5

3

1348

5

Internal geolocation arrays

MYD06_L2.A2015120.1535.061.2018050000609.hdf pge06v6.1.4 Cloud_Top_Temperature

0.0099999997764825821

150.00000000000000

Latitude Longitude

Cloud Fraction in Retrieval Region (5x5 1-km Pixels) from 1-km Cloud Mask

none

0

100

127

Output

3

2028

5

3

1348

5

Internal geolocation arrays

MYD06_L2.A2015120.1535.061.2018050000609.hdf pge06v6.1.4 Cloud_Fraction

0.0099999997764825821

0.0000000000000000

Latitude Longitude

Total Column Precipitable Water Vapor - IR Clear Retrieval

cm

0

20000

-9999

Output

3

2028

5

3

1348

5

Internal geolocation arrays

MYD07_L2.A2015120.1535.061.2018049134129.hdf pge03v6.1.1 Water_Vapor

0.0010000000474974513

0.0000000000000000

Byte_Segment Latitude Longitude

MODIS Cloud Mask

none

0

-1

0

Output

4

2029

5

3

1348

5

External MODIS geolocation product

\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

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.

MYD35_L2.A2015120.1535.061.2018049134112.hdf pge03v6.1.1 Cloud_Mask

1.0000000000000000

0.0000000000000000

Latitude_10km Longitude_10km

Solar Zenith Angle, Cell to Sun at 10km Resolution

Degrees

0

18000

-9999

MODIS Input

1

2021

10

1

1345

10

Internal geolocation arrays

MYD04_L2.A2015120.1535.061.2018049234631.hdf pge04v04 Solar_Zenith

0.0099999997764825821

0.0000000000000000

Latitude_10km Longitude_10km

Viewing_Zenith Angle, Cell to Viewing at 10km Resolution

Degrees

0

18000

-9999

MODIS Input

1

2021

10

1

1354

10

Internal geolocation arrays

MYD04_L2.A2015120.1535.061.2018049234631.hdf pge04v04 Sensor_Zenith

0.0099999997764825821

0.0000000000000000

Latitude_10km Longitude_10km

Relative Azimuth ( RA = abs(180-abs(snsr_az-slr_az)) ) at 10km Resolution

Degrees

-18000

18000

-9999

Output

1

2021

10

1

1345

10

Internal geolocation arrays

MYD04_L2.A2015120.1535.061.2018049234631.hdf pge04v04 Sensor_Azimuth Solar_Azimuth for each pixel: RA = abs(180-abs(snsr_az-slr_az))

0.0099999997764825821

0.0000000000000000

Latitude_10km Longitude_10km

AOT at 0.55 micron for both ocean (Average) (Quality flag=1,2,3) and land (corrected) (Quality flag=3)

None

-100

5000

-9999

Output

1

2021

10

1

1354

10

Internal geolocation arrays

MYD04_L2.A2015120.1535.061.2018049234631.hdf pge04v04 Optical_Depth_Land_And_Ocean

0.0010000000474974513

0.0000000000000000

Latitude_10km Longitude_10km

AOT at 0.55 micron for land with all quality data (Quality flag=1,2,3)

None

0

5000

-9999

Output

1

2021

10

1

1354

10

Internal geolocation arrays

MYD04_L2.A2015120.1535.061.2018049234631.hdf pge04v04 Deep_Blue_Aerosol_Optical_Depth_550_Land

0.0010000000474974513

0.0000000000000000

Latitude_10km Longitude_10km

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)

None

-500

5000

-9999

Output

1

2021

10

1

1354

10

Internal geolocation arrays

MYD04_L2.A2015120.1535.061.2018049234631.hdf pge04v04 Deep_Blue_Angstrom_Exponent_Land

0.0010000000474974513

0.0000000000000000

Latitude Longitude

-32768

0

5000

Total Ozone Burden

Dobson

Output

3

2028

5

3

1348

5

Internal geolocation arrays

0.10000000149011612

0.0000000000000000

Latitude Longitude

-32768

-2000

4000

Lifted Index

K

Output

3

2028

5

3

1348

5

Internal geolocation arrays

0.0099999997764825821

0.0000000000000000

Latitude Longitude

-32768

11500

20000

K_Index

K

Output

3

2028

5

3

1348

5

Internal geolocation arrays

0.0099999997764825821

150.00000000000000

Latitude Longitude

-32768

0

8000

Total Totals

K

Output

3

2028

5

3

1348

5

Internal geolocation arrays

0.0099999997764825821

0.0000000000000000

Latitude_10km Longitude_10km

-9999

-1000

5000

Calculated Angstrom Exponent for 0.55 vs 0.86 micron for Average Solution

None

Output

1

2021

10

1

1354

10

Internal geolocation arrays

0.0010000000474974513

0.0000000000000000

Latitude_10km Longitude_10km

-9999

0

1

Land_sea_Flag(based on MOD03 Landsea mask 0 = Ocean, 1 = Land and Ephemeral water 2 =Coastal)

None

Output

1

2021

10

1

1354

10

Internal geolocation arrays

1.0000000000000000

0.0000000000000000

Latitude_10km Longitude_10km

-9999

0

60

Average Distance (number of pixels) to nearest pixel identified as cloudy from each clear pixel used for Aerosol Retrieval in 10 km retrieval box

Number of pixels

Output

1

2021

10

1

1354

10

Internal geolocation arrays

1.0000000000000000

0.0000000000000000

Latitude_10km Longitude_10km

-9999

0

1000

Cloud fraction from Land aerosol cloud mask from retrieved and overcast pixels not including cirrus mask

None

Output

1

2021

10

1

1354

10

Internal geolocation arrays

0.0010000000474974513

0.0000000000000000

Latitude_10km Longitude_10km

-9999

0

1000

Cloud fraction from Land aerosol cloud mask from retrieved and overcast pixels not including cirrus mask

None

Output

1

2021

10

1

1354

10

Internal geolocation arrays

0.0010000000474974513

0.0000000000000000

Latitude_10km Longitude_10km

-9999

0

3

Quality Flag for Land and ocean Aerosol retreivals 0= bad 1 = Marginal 2= Good 3=Very Good)

None

Output

1

2021

10

1

1354

10

Internal geolocation arrays

1.0000000000000000

0.0000000000000000

Latitude_10km Longitude_10km

-9999

-100

5000

Combined Dark Target, Deep Blue AOT at 0.55 micron for land and ocean.

None

Output

1

2021

10

1

1354

10

Internal geolocation arrays

0.0010000000474974513

0.0000000000000000

Latitude_10km Longitude_10km

-9999

0

3

Combined Dark Target, Deep Blue Aerosol Confidence Flag (0= No Confidence (or fill), 1= Marginal, 2= Good, 3= Very Good)

None

Output

1

2021

10

1

1354

10

Internal geolocation arrays

1.0000000000000000

0.0000000000000000

Latitude_10km Longitude_10km

-999

0

2

Combined Dark Target, Deep Blue AOT at 0.55 micron Algorithm Flag (0=Dark Target, 1=Deep Blue, 2=Mixed)

None

Output

1

2021

10

1

1354

10

Internal geolocation arrays

1.0000000000000000

0.0000000000000000

Latitude_10km Longitude_10km

-9999

0

5000

Deep Blue AOT at 0.55 micron for land with higher quality data (Quality flag=2,3)

None

Output

1

2021

10

1

1354

10

Internal geolocation arrays

0.0010000000474974513

0.0000000000000000

Latitude_10km Longitude_10km

0

0

3

Deep Blue Aerosol Confidence Flag (0= No Confidence (or fill), 1= Marginal, 2= Good, 3= Very Good)

None

Output

1

2021

10

1

1354

10

Internal geolocation arrays

1.0000000000000000

0.0000000000000000

Latitude_10km Longitude_10km

-9999

0

5000

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)

None

Output

1

2021

10

1

1354

10

Internal geolocation arrays

0.0010000000474974513

0.0000000000000000

Latitude_10km Longitude_10km QA_Byte_Land

0

0

-1

Runtime QA flags

None

Output

1

2021

10

1

1354

10

Internal geolocation arrays

see MODIS atmosphere QA plan for details

1.0000000000000000

0.0000000000000000

Latitude_10km Longitude_10km QA_Byte_Ocean

0

0

-1

Run time QA flags

None

Output

1

2021

10

1

1354

10

Internal geolocation arrays

(see MODIS atmosphere QA plan for details)

1.0000000000000000

0.0000000000000000

Num_DeepBlue_Wavelengths Latitude_10km Longitude_10km

-9999

700

1000

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)

None

Output

1

2021

10

1

1354

10

Internal geolocation arrays

0.0010000000474974513

0.0000000000000000

-999.0000000

-180.0000000

180.0000000

Geodetic Longitude

MODIS Input

1

2021

10

1

1345

10

Geolocation data not applicable

-999.0000000

-90.00000000

90.00000000

Geodetic Latitude

MODIS Input

1

2021

10

1

1345

10

Geolocation data not applicable

Latitude Longitude

-9999

Total Column Precipitable Water Vapor - Near Infrared Retrieval

cm

Output

4

2029

5

3

1353

5

Internal geolocation arrays

0

20000

0.0010000000474974513

0.0000000000000000

Latitude Longitude

-9999

0

10000

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

none

Output

4

2029

5

3

1353

5

External MODIS geolocation product

0.0099999997764825821

0.0000000000000000

Latitude Longitude

-9999

0

10000

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

none

Output

4

2029

5

3

1353

5

External MODIS geolocation product

0.0099999997764825821

0.0000000000000000

Latitude Longitude

-9999

0

10000

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

none

Output

4

2029

5

3

1353

5

External MODIS geolocation product

0.0099999997764825821

0.0000000000000000

Latitude Longitude

-9999

0

10000

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

none

Output

4

2029

5

3

1353

5

External MODIS geolocation product

0.0099999997764825821

0.0000000000000000

Latitude Longitude

-9999

0

10000

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

none

Output

4

2029

5

3

1353

5

External MODIS geolocation product

0.0099999997764825821

0.0000000000000000

Latitude Longitude

-9999

0

20000

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

percent

Output

4

2029

5

3

1353

5

External MODIS geolocation product

0.0099999997764825821

0.0000000000000000

Latitude Longitude

-9999

0

20000

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

percent

Output

4

2029

5

3

1353

5

External MODIS geolocation product

0.0099999997764825821

0.0000000000000000

Latitude Longitude

-9999

0

10000

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

micron

Output

4

2029

5

3

1353

5

External MODIS geolocation product

0.0099999997764825821

0.0000000000000000

Latitude Longitude

-9999

0

10000

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

micron

Output

4

2029

5

3

1353

5

External MODIS geolocation product

0.0099999997764825821

0.0000000000000000

Latitude Longitude

-9999

0

10000

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

micron

Output

4

2029

5

3

1353

5

External MODIS geolocation product

0.0099999997764825821

0.0000000000000000

Latitude Longitude

-9999

0

10000

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

micron

Output

4

2029

5

3

1353

5

External MODIS geolocation product

0.0099999997764825821

0.0000000000000000

Latitude Longitude

-9999

0

10000

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

micron

Output

4

2029

5

3

1353

5

External MODIS geolocation product

0.0099999997764825821

0.0000000000000000

Latitude Longitude

-9999

0

20000

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

percent

Output

4

2029

5

3

1353

5

External MODIS geolocation product

0.0099999997764825821

0.0000000000000000

Latitude Longitude

-9999

0

20000

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

percent

Output

4

2029

5

3

1353

5

External MODIS geolocation product

0.0099999997764825821

0.0000000000000000

Latitude Longitude

-9999

0

10000

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

g/m^2

Output

4

2029

5

3

1353

5

External MODIS geolocation product

1.0000000000000000

0.0000000000000000

Latitude Longitude

-9999

0

10000

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

g/m^2

Output

4

2029

5

3

1353

5

External MODIS geolocation product

1.0000000000000000

0.0000000000000000

Latitude Longitude

-9999

0

10000

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

g/m^2

Output

4

2029

5

3

1353

5

External MODIS geolocation product

1.0000000000000000

0.0000000000000000

Latitude Longitude

-9999

0

10000

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

g/m^2

Output

4

2029

5

3

1353

5

External MODIS geolocation product

1.0000000000000000

0.0000000000000000

Latitude Longitude

-9999

0

10000

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

g/m^2

Output

4

2029

5

3

1353

5

External MODIS geolocation product

1.0000000000000000

0.0000000000000000

Latitude Longitude

-9999

0

20000

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

percent

Output

4

2029

5

3

1353

5

External MODIS geolocation product

0.0099999997764825821

0.0000000000000000

Latitude Longitude

-9999

0

20000

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

percent

Output

4

2029

5

3

1353

5

External MODIS geolocation product

0.0099999997764825821

0.0000000000000000

Latitude Longitude

-999

10

11000

Cloud Top Pressure at 1-km resolution from LEOCAT, Cloud Top Pressure Level rounded to nearest 5 mb

hPa

Output

4

2029

5

3

1353

5

External MODIS geolocation product

0.10000000149011612

0.0000000000000000

Latitude Longitude

-999

0

20000

Cloud Top Temperature at 1-km resolution from LEOCAT, Temperature from Ancillary Data at Retrieved Cloud Top Pressure Level

K

Output

4

2029

5

3

1353

5

External MODIS geolocation product

0.0099999997764825821

150.00000000000000

Latitude Longitude

-999

0

18000

Cloud Top Height at 1-km resolution from LEOCAT, Geopotential Height at Retrieved Cloud Top Pressure Level rounded to nearest 50 m

meters

Output

4

2029

5

3

1353

5

External MODIS geolocation product

1.0000000000000000

0.0000000000000000

Latitude Longitude

-999

0

20000

Surface Temperature for Each 1-km MODIS Pixel Interplated from Ancillary Data

K

Non MODIS Input

4

2029

5

3

1353

5

External MODIS geolocation product

0.0099999997764825821

150.00000000000000

Latitude Longitude

127

0

2

Upper Tropospheric/Lower Stratospheric (UTLS) Cloud Flag at 1-km resolution - valid from -50 to +50 Degrees Latitude

none

Output

4

2029

5

3

1353

5

External geolocation arrays

\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)

1.0000000000000000

0.0000000000000000

Latitude Longitude SPI_nband

-9999

0

20000

Dispersion in bands 1 (plane 1) and 2 (plane 2) from 250m reflectance statistics of cloud mask

percent

Output

4

2029

5

3

1353

5

External MODIS geolocation product

0.0099999997764825821

0.0000000000000000

Latitude Longitude

0

0

9

Cloud Multi Layer Identification From MODIS Shortwave Observations

none

Output

4

2029

5

3

1353

5

External MODIS geolocation product

\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.

1.0000000000000000

0.0000000000000000

Latitude Longitude

127

0

6

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)

none

Output

4

2029

5

3

1353

5

External geolocation arrays

\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

1.0000000000000000

0.0000000000000000

Latitude Longitude

-32767

0

18000

Geopotential Height at Retrieved Cloud Top Pressure Level (rounded to nearest 50 m)

meters

Output

3

2028

5

3

1348

5

Internal geolocation arrays

1.0000000000000000

0.0000000000000000

Latitude Longitude

127

1

6

Index Indicating MODIS Bands Used for Cloud Top Pressure Retrieval

none

Output

3

2028

5

3

1348

5

Internal geolocation arrays

\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

1.0000000000000000

0.0000000000000000

Band_Forcing Latitude Longitude

-32768

-2000

2000

Spectral Cloud Forcing (cloud minus clear radiance)

Watts/meter2/steradian/micron

Output

3

2028

5

3

1348

5

Internal geolocation arrays

\n Spectral cloud forcing, cloudy-clear radiance, each channel in order: 36, 35, 34, 33 and 31 for Band_Forcing dimension reference

0.0099999997764825821

0.0000000000000000

Latitude Longitude

-9999

0

10000

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

none

Output

4

2029

5

3

1353

5

External MODIS geolocation product

0.0099999997764825821

0.0000000000000000

Latitude Longitude

-9999

0

10000

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

micron

Output

4

2029

5

3

1353

5

External MODIS geolocation product

0.0099999997764825821

0.0000000000000000

Latitude Longitude

-9999

0

10000

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

g/m^2

Output

4

2029

5

3

1353

5

External MODIS geolocation product

1.0000000000000000

0.0000000000000000

Latitude Longitude RFM_nband

-9999

0

20000

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)

by plane in order: 1-none, 2-micron, 3-percent

Output

4

2029

5

3

1353

5

External MODIS geolocation product

\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

0.0099999997764825821

0.0000000000000000

Latitude Longitude RFM_nband

-9999

0

20000

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)

by plane in order: 1-none, 2-micron, 3-percent

Output

4

2029

5

3

1353

5

External MODIS geolocation product

\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

0.0099999997764825821

0.0000000000000000

Latitude Longitude RFM_nband

-9999

0

20000

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)

by plane in order: 1-none, 2-micron, 3-percent

Output

4

2029

5

3

1353

5

External MODIS geolocation product

\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

0.0099999997764825821

0.0000000000000000

Latitude Longitude RFM_nband

-9999

0

20000

Retrievals and other information for points that failed to retrievevia standard solution logic for retrieval using band 6 and band 7

by plane in order: 1-none, 2-micron, 3-percent

Output

4

2029

5

3

1353

5

External MODIS geolocation product

\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

0.0099999997764825821

0.0000000000000000

degrees_north

Latitude

-999.0000000

-90.00000000

90.00000000

degrees_east

Longitude

-999.0000000

-180.0000000

180.0000000

level

QA_Parameter_5km(fake)

level

Byte_Segment(fake)

level

QA_Byte_Land(fake)

level

QA_Byte_Ocean(fake)

level

Num_DeepBlue_Wavelengths(fake)

level

SPI_nband(fake)

level

Band_Forcing(fake)

level

RFM_nband(fake)