Attributes { Latitude { String units "degrees_north"; String long_name "Latitude"; Float32 _FillValue -999.0000000; Float32 valid_range -90.00000000, 90.00000000; } Longitude { String units "degrees_east"; String long_name "Longitude"; Float32 _FillValue -999.0000000; Float32 valid_range -180.0000000, 180.0000000; } QA_Parameter_5km { String units "level"; String long_name "QA_Parameter_5km(fake)"; } Byte_Segment { String units "level"; String long_name "Byte_Segment(fake)"; } SPI_nband { String units "level"; String long_name "SPI_nband(fake)"; } Band_Forcing { String units "level"; String long_name "Band_Forcing(fake)"; } RFM_nband { String units "level"; String long_name "RFM_nband(fake)"; } Cloud_Optical_Thickness { String coordinates "Latitude Longitude"; String 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"; String units "none"; Int16 valid_range 0, 10000; Int16 _FillValue -9999; String Parameter_Type "Output"; Int32 Cell_Along_Swath_Sampling 3, 2028, 5; Int32 Cell_Across_Swath_Sampling 3, 1348, 5; String Geolocation_Pointer "External MODIS geolocation product"; String _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."; String source_info " MOD06_L2.A2018046.1040.006.2018046193645.hdf pge06v6.0.98 Cloud_Optical_Thickness"; Float64 scale_factor 0.0099999997764825821; Float64 add_offset 0.0000000000000000; } Cloud_Effective_Radius { String coordinates "Latitude Longitude"; String 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"; String units "micron"; Int16 valid_range 0, 10000; Int16 _FillValue -9999; String Parameter_Type "Output"; Int32 Cell_Along_Swath_Sampling 3, 2028, 5; Int32 Cell_Across_Swath_Sampling 3, 1348, 5; String Geolocation_Pointer "External MODIS geolocation product"; String _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."; String source_info " MOD06_L2.A2018046.1040.006.2018046193645.hdf pge06v6.0.98 Cloud_Effective_Radius"; Float64 scale_factor 0.0099999997764825821; Float64 add_offset 0.0000000000000000; } Cloud_Water_Path { String coordinates "Latitude Longitude"; String 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"; String units "g/m^2"; Int16 valid_range 0, 10000; Int16 _FillValue -9999; String Parameter_Type "Output"; Int32 Cell_Along_Swath_Sampling 3, 2028, 5; Int32 Cell_Across_Swath_Sampling 3, 1348, 5; String Geolocation_Pointer "External MODIS geolocation product"; String _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."; String source_info " MOD06_L2.A2018046.1040.006.2018046193645.hdf pge06v6.0.98 Cloud_Water_Path"; Float64 scale_factor 1.0000000000000000; Float64 add_offset 0.0000000000000000; } Cloud_Optical_Thickness_1621 { String coordinates "Latitude Longitude"; String 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"; String units "none"; Int16 valid_range 0, 10000; Int16 _FillValue -9999; String Parameter_Type "Output"; Int32 Cell_Along_Swath_Sampling 3, 2028, 5; Int32 Cell_Across_Swath_Sampling 3, 1348, 5; String Geolocation_Pointer "External MODIS geolocation product"; String _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."; String source_info " MOD06_L2.A2018046.1040.006.2018046193645.hdf pge06v6.0.98 Cloud_Optical_Thickness_1621"; Float64 scale_factor 0.0099999997764825821; Float64 add_offset 0.0000000000000000; } Cloud_Effective_Radius_1621 { String coordinates "Latitude Longitude"; String 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"; String units "micron"; Int16 valid_range 0, 10000; Int16 _FillValue -9999; String Parameter_Type "Output"; Int32 Cell_Along_Swath_Sampling 3, 2028, 5; Int32 Cell_Across_Swath_Sampling 3, 1348, 5; String Geolocation_Pointer "External MODIS geolocation product"; String _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."; String source_info " MOD06_L2.A2018046.1040.006.2018046193645.hdf pge06v6.0.98 Cloud_Effective_Radius_1621"; Float64 scale_factor 0.0099999997764825821; Float64 add_offset 0.0000000000000000; } Cloud_Water_Path_1621 { String coordinates "Latitude Longitude"; String 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"; String units "g/m^2"; Int16 valid_range 0, 10000; Int16 _FillValue -9999; String Parameter_Type "Output"; Int32 Cell_Along_Swath_Sampling 3, 2028, 5; Int32 Cell_Across_Swath_Sampling 3, 1348, 5; String Geolocation_Pointer "External MODIS geolocation product"; String _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."; String source_info " MOD06_L2.A2018046.1040.006.2018046193645.hdf pge06v6.0.98 Cloud_Water_Path_1621"; Float64 scale_factor 1.0000000000000000; Float64 add_offset 0.0000000000000000; } Cloud_Optical_Thickness_Uncertainty { String coordinates "Latitude Longitude"; String 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"; String units "percent"; Int16 valid_range 0, 20000; Int16 _FillValue -9999; String Parameter_Type "Output"; Int32 Cell_Along_Swath_Sampling 3, 2028, 5; Int32 Cell_Across_Swath_Sampling 3, 1348, 5; String Geolocation_Pointer "External MODIS geolocation product"; String _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."; String source_info " MOD06_L2.A2018046.1040.006.2018046193645.hdf pge06v6.0.98 Cloud_Optical_Thickness_Uncertainty"; Float64 scale_factor 0.0099999997764825821; Float64 add_offset 0.0000000000000000; } Cloud_Effective_Radius_Uncertainty { String coordinates "Latitude Longitude"; String 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"; String units "percent"; Int16 valid_range 0, 20000; Int16 _FillValue -9999; String Parameter_Type "Output"; Int32 Cell_Along_Swath_Sampling 3, 2028, 5; Int32 Cell_Across_Swath_Sampling 3, 1348, 5; String Geolocation_Pointer "External MODIS geolocation product"; String _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."; String source_info " MOD06_L2.A2018046.1040.006.2018046193645.hdf pge06v6.0.98 Cloud_Effective_Radius_Uncertainty"; Float64 scale_factor 0.0099999997764825821; Float64 add_offset 0.0000000000000000; } Cloud_Water_Path_Uncertainty { String coordinates "Latitude Longitude"; String 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"; String units "percent"; Int16 valid_range 0, 20000; Int16 _FillValue -9999; String Parameter_Type "Output"; Int32 Cell_Along_Swath_Sampling 3, 2028, 5; Int32 Cell_Across_Swath_Sampling 3, 1348, 5; String Geolocation_Pointer "External MODIS geolocation product"; String _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."; String source_info " MOD06_L2.A2018046.1040.006.2018046193645.hdf pge06v6.0.98 Cloud_Water_Path_Uncertainty"; Float64 scale_factor 0.0099999997764825821; Float64 add_offset 0.0000000000000000; } Cloud_Optical_Thickness_Uncertainty_1621 { String coordinates "Latitude Longitude"; String 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"; String units "percent"; Int16 valid_range 0, 20000; Int16 _FillValue -9999; String Parameter_Type "Output"; Int32 Cell_Along_Swath_Sampling 3, 2028, 5; Int32 Cell_Across_Swath_Sampling 3, 1348, 5; String Geolocation_Pointer "External MODIS geolocation product"; String _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."; String source_info " MOD06_L2.A2018046.1040.006.2018046193645.hdf pge06v6.0.98 Cloud_Optical_Thickness_Uncertainty_1621"; Float64 scale_factor 0.0099999997764825821; Float64 add_offset 0.0000000000000000; } Cloud_Effective_Radius_Uncertainty_1621 { String coordinates "Latitude Longitude"; String 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"; String units "percent"; Int16 valid_range 0, 20000; Int16 _FillValue -9999; String Parameter_Type "Output"; Int32 Cell_Along_Swath_Sampling 3, 2028, 5; Int32 Cell_Across_Swath_Sampling 3, 1348, 5; String Geolocation_Pointer "External MODIS geolocation product"; String _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."; String source_info " MOD06_L2.A2018046.1040.006.2018046193645.hdf pge06v6.0.98 Cloud_Effective_Radius_Uncertainty_1621"; Float64 scale_factor 0.0099999997764825821; Float64 add_offset 0.0000000000000000; } Cloud_Water_Path_Uncertainty_1621 { String coordinates "Latitude Longitude"; String 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"; String units "percent"; Int16 valid_range 0, 20000; Int16 _FillValue -9999; String Parameter_Type "Output"; Int32 Cell_Along_Swath_Sampling 3, 2028, 5; Int32 Cell_Across_Swath_Sampling 3, 1348, 5; String Geolocation_Pointer "External MODIS geolocation product"; String _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."; String source_info " MOD06_L2.A2018046.1040.006.2018046193645.hdf pge06v6.0.98 Cloud_Water_Path_Uncertainty_1621"; Float64 scale_factor 0.0099999997764825821; Float64 add_offset 0.0000000000000000; } Cloud_Phase_Optical_Properties { String coordinates "Latitude Longitude"; String long_name "Cloud Phase Determination Used in Optical Thickness/Effective Radius Retrieval"; String units "none"; Int32 valid_range 0, 4; Int32 _FillValue 0; String Parameter_Type "Output"; Int32 Cell_Along_Swath_Sampling 3, 2028, 5; Int32 Cell_Across_Swath_Sampling 3, 1348, 5; String Geolocation_Pointer "External MODIS geolocation product"; String 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"; String _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."; String source_info " MOD06_L2.A2018046.1040.006.2018046193645.hdf pge06v6.0.98 Cloud_Phase_Optical_Properties"; Float64 scale_factor 1.0000000000000000; Float64 add_offset 0.0000000000000000; } Cloud_Phase_Infrared { String coordinates "Latitude Longitude"; String long_name "Cloud Phase from 8.5 and 11 um Bands"; String units "none"; Int32 valid_range 0, 6; Int32 _FillValue 127; String Parameter_Type "Output"; Int32 Cell_Along_Swath_Sampling 3, 2028, 5; Int32 Cell_Across_Swath_Sampling 3, 1348, 5; String Geolocation_Pointer "Internal geolocation arrays"; String source_info " MOD06_L2.A2018046.1040.006.2018046193645.hdf pge06v6.0.98 Cloud_Phase_Infrared"; Float64 scale_factor 1.0000000000000000; Float64 add_offset 0.0000000000000000; } Cloud_Quality_Assurance { String coordinates "Latitude Longitude QA_Parameter_5km"; String long_name "Cloud Quality Assurance at 5km Resolution"; String units "none"; Int32 valid_range 0, -1; Int32 _FillValue 0; String Parameter_Type "Output"; Int32 Cell_Along_Swath_Sampling 4, 2029, 5; Int32 Cell_Across_Swath_Sampling 3, 1348, 5; String Geolocation_Pointer "External MODIS geolocation product"; String 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 spare 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 6,7 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 4,5,6 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 4,5,6 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 4,5,6 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 "; String _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."; String source_info " MOD06_L2.A2018046.1040.006.2018046193645.hdf pge06v6.0.98 Quality_Assurance_1km"; Float64 scale_factor 1.0000000000000000; Float64 add_offset 0.0000000000000000; } Cirrus_Reflectance { String coordinates "Latitude Longitude"; String long_name "Cirrus Reflectance"; String units "none"; Int16 valid_range 0, 8000; Int16 _FillValue -9999; String Parameter_Type "Output"; Int32 Cell_Along_Swath_Sampling 3, 2028, 5; Int32 Cell_Across_Swath_Sampling 3, 1348, 5; String Geolocation_Pointer "External MODIS geolocation product"; String _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."; String source_info " MOD06_L2.A2018046.1040.006.2018046193645.hdf pge06v6.0.98 Cirrus_Reflectance"; Float64 scale_factor 0.00019999999494757503; Float64 add_offset 0.0000000000000000; } Cloud_Top_Pressure { String coordinates "Latitude Longitude"; String long_name "Cloud Top Pressure Level (rounded to nearest 5 mb)"; String units "hPa"; Int16 valid_range 10, 11000; Int16 _FillValue -32768; String Parameter_Type "Output"; Int32 Cell_Along_Swath_Sampling 3, 2028, 5; Int32 Cell_Across_Swath_Sampling 3, 1348, 5; String Geolocation_Pointer "Internal geolocation arrays"; String source_info " MOD06_L2.A2018046.1040.006.2018046193645.hdf pge06v6.0.98 Cloud_Top_Pressure"; Float64 scale_factor 0.10000000149011612; Float64 add_offset 0.0000000000000000; } Cloud_Top_Temperature { String coordinates "Latitude Longitude"; String long_name "Temperature from Ancillary Data at Retrieved Cloud Top Pressure Level"; String units "K"; Int16 valid_range 0, 20000; Int16 _FillValue -32768; String Parameter_Type "Output"; Int32 Cell_Along_Swath_Sampling 3, 2028, 5; Int32 Cell_Across_Swath_Sampling 3, 1348, 5; String Geolocation_Pointer "Internal geolocation arrays"; String source_info " MOD06_L2.A2018046.1040.006.2018046193645.hdf pge06v6.0.98 Cloud_Top_Temperature"; Float64 scale_factor 0.0099999997764825821; Float64 add_offset 149.99999664723873; } Cloud_Fraction { String coordinates "Latitude Longitude"; String long_name "Cloud Fraction in Retrieval Region (5x5 1-km Pixels) from 1-km Cloud Mask"; String units "none"; Int32 valid_range 0, 100; Int32 _FillValue 127; String Parameter_Type "Output"; Int32 Cell_Along_Swath_Sampling 3, 2028, 5; Int32 Cell_Across_Swath_Sampling 3, 1348, 5; String Geolocation_Pointer "Internal geolocation arrays"; String source_info " MOD06_L2.A2018046.1040.006.2018046193645.hdf pge06v6.0.98 Cloud_Fraction"; Float64 scale_factor 0.0099999997764825821; Float64 add_offset 0.0000000000000000; } Precipitable_Water_Infrared_ClearSky { String coordinates "Latitude Longitude"; String long_name "Total Column Precipitable Water Vapor - IR Clear Retrieval"; String units "cm"; Int16 valid_range 0, 20000; Int16 _FillValue -9999; String Parameter_Type "Output"; Int32 Cell_Along_Swath_Sampling 3, 2028, 5; Int32 Cell_Across_Swath_Sampling 3, 1348, 5; String Geolocation_Pointer "Internal geolocation arrays"; String source_info " MOD07_L2.A2018046.1040.006.2018046193017.hdf pge03v6.0.50 Water_Vapor"; Float64 scale_factor 0.0010000000474974513; Float64 add_offset 0.0000000000000000; } Cloud_Mask { String coordinates "Byte_Segment Latitude Longitude"; String long_name "MODIS Cloud Mask"; String units "none"; Int32 valid_range 0, -1; Int32 _FillValue 0; String Parameter_Type "Output"; Int32 Cell_Along_Swath_Sampling 4, 2029, 5; Int32 Cell_Across_Swath_Sampling 3, 1348, 5; String Geolocation_Pointer "External MODIS geolocation product"; String 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 "; String _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."; String source_info " MOD35_L2.A2018046.1040.006.2018046192958.hdf pge03v6.0.50 Cloud_Mask"; Float64 scale_factor 1.0000000000000000; Float64 add_offset 0.0000000000000000; } Total_Ozone { String coordinates "Latitude Longitude"; Int16 _FillValue -32768; Int16 valid_range 0, 5000; String long_name "Total Ozone Burden"; String units "Dobson"; String Parameter_Type "Output"; Int32 Cell_Along_Swath_Sampling 3, 2028, 5; Int32 Cell_Across_Swath_Sampling 3, 1348, 5; String Geolocation_Pointer "Internal geolocation arrays"; Float64 scale_factor 0.10000000149011612; Float64 add_offset 0.0000000000000000; } Lifted_Index { String coordinates "Latitude Longitude"; Int16 _FillValue -32768; Int16 valid_range -2000, 4000; String long_name "Lifted Index"; String units "K"; String Parameter_Type "Output"; Int32 Cell_Along_Swath_Sampling 3, 2028, 5; Int32 Cell_Across_Swath_Sampling 3, 1348, 5; String Geolocation_Pointer "Internal geolocation arrays"; Float64 scale_factor 0.0099999997764825821; Float64 add_offset 0.0000000000000000; } K_Index { String coordinates "Latitude Longitude"; Int16 _FillValue -32768; Int16 valid_range 11500, 20000; String long_name "K_Index"; String units "K"; String Parameter_Type "Output"; Int32 Cell_Along_Swath_Sampling 3, 2028, 5; Int32 Cell_Across_Swath_Sampling 3, 1348, 5; String Geolocation_Pointer "Internal geolocation arrays"; Float64 scale_factor 0.0099999997764825821; Float64 add_offset 149.99999664723873; } Total_Totals_Index { String coordinates "Latitude Longitude"; Int16 _FillValue -32768; Int16 valid_range 0, 8000; String long_name "Total Totals"; String units "K"; String Parameter_Type "Output"; Int32 Cell_Along_Swath_Sampling 3, 2028, 5; Int32 Cell_Across_Swath_Sampling 3, 1348, 5; String Geolocation_Pointer "Internal geolocation arrays"; Float64 scale_factor 0.0099999997764825821; Float64 add_offset 0.0000000000000000; } Precipitable_Water_Near_Infrared_ClearSky { String coordinates "Latitude Longitude"; Int16 _FillValue -9999; String long_name "Total Column Precipitable Water Vapor - Near Infrared Retrieval"; String unit "cm"; String Parameter_Type "Output"; Int32 Cell_Along_Swath_Sampling 4, 2029, 5; Int32 Cell_Across_Swath_Sampling 3, 1353, 5; String Geolocation_Pointer "Internal geolocation arrays"; Int16 valid_range 0, 20000; Float64 scale_factor 0.0010000000474974513; Float64 add_offset 0.0000000000000000; } Cloud_Optical_Thickness_PCL { String coordinates "Latitude Longitude"; Int16 _FillValue -9999; Int16 valid_range 0, 10000; String 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"; String units "none"; String Parameter_Type "Output"; Int32 Cell_Along_Swath_Sampling 4, 2029, 5; Int32 Cell_Across_Swath_Sampling 3, 1353, 5; String Geolocation_Pointer "External MODIS geolocation product"; Float64 scale_factor 0.0099999997764825821; Float64 add_offset 0.0000000000000000; } Cloud_Optical_Thickness_16 { String coordinates "Latitude Longitude"; Int16 _FillValue -9999; Int16 valid_range 0, 10000; String 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"; String units "none"; String Parameter_Type "Output"; Int32 Cell_Along_Swath_Sampling 4, 2029, 5; Int32 Cell_Across_Swath_Sampling 3, 1353, 5; String Geolocation_Pointer "External MODIS geolocation product"; Float64 scale_factor 0.0099999997764825821; Float64 add_offset 0.0000000000000000; } Cloud_Optical_Thickness_16_PCL { String coordinates "Latitude Longitude"; Int16 _FillValue -9999; Int16 valid_range 0, 10000; String 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"; String units "none"; String Parameter_Type "Output"; Int32 Cell_Along_Swath_Sampling 4, 2029, 5; Int32 Cell_Across_Swath_Sampling 3, 1353, 5; String Geolocation_Pointer "External MODIS geolocation product"; Float64 scale_factor 0.0099999997764825821; Float64 add_offset 0.0000000000000000; } Cloud_Optical_Thickness_37 { String coordinates "Latitude Longitude"; Int16 _FillValue -9999; Int16 valid_range 0, 10000; String 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"; String units "none"; String Parameter_Type "Output"; Int32 Cell_Along_Swath_Sampling 4, 2029, 5; Int32 Cell_Across_Swath_Sampling 3, 1353, 5; String Geolocation_Pointer "External MODIS geolocation product"; Float64 scale_factor 0.0099999997764825821; Float64 add_offset 0.0000000000000000; } Cloud_Optical_Thickness_37_PCL { String coordinates "Latitude Longitude"; Int16 _FillValue -9999; Int16 valid_range 0, 10000; String 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"; String units "none"; String Parameter_Type "Output"; Int32 Cell_Along_Swath_Sampling 4, 2029, 5; Int32 Cell_Across_Swath_Sampling 3, 1353, 5; String Geolocation_Pointer "External MODIS geolocation product"; Float64 scale_factor 0.0099999997764825821; Float64 add_offset 0.0000000000000000; } Cloud_Optical_Thickness_Uncertainty_16 { String coordinates "Latitude Longitude"; Int16 _FillValue -9999; Int16 valid_range 0, 20000; String 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"; String units "percent"; String Parameter_Type "Output"; Int32 Cell_Along_Swath_Sampling 4, 2029, 5; Int32 Cell_Across_Swath_Sampling 3, 1353, 5; String Geolocation_Pointer "External MODIS geolocation product"; Float64 scale_factor 0.0099999997764825821; Float64 add_offset 0.0000000000000000; } Cloud_Optical_Thickness_Uncertainty_37 { String coordinates "Latitude Longitude"; Int16 _FillValue -9999; Int16 valid_range 0, 20000; String 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"; String units "percent"; String Parameter_Type "Output"; Int32 Cell_Along_Swath_Sampling 4, 2029, 5; Int32 Cell_Across_Swath_Sampling 3, 1353, 5; String Geolocation_Pointer "External MODIS geolocation product"; Float64 scale_factor 0.0099999997764825821; Float64 add_offset 0.0000000000000000; } Cloud_Effective_Radius_PCL { String coordinates "Latitude Longitude"; Int16 _FillValue -9999; Int16 valid_range 0, 10000; String 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"; String units "micron"; String Parameter_Type "Output"; Int32 Cell_Along_Swath_Sampling 4, 2029, 5; Int32 Cell_Across_Swath_Sampling 3, 1353, 5; String Geolocation_Pointer "External MODIS geolocation product"; Float64 scale_factor 0.0099999997764825821; Float64 add_offset 0.0000000000000000; } Cloud_Effective_Radius_16 { String coordinates "Latitude Longitude"; Int16 _FillValue -9999; Int16 valid_range 0, 10000; String 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"; String units "micron"; String Parameter_Type "Output"; Int32 Cell_Along_Swath_Sampling 4, 2029, 5; Int32 Cell_Across_Swath_Sampling 3, 1353, 5; String Geolocation_Pointer "External MODIS geolocation product"; Float64 scale_factor 0.0099999997764825821; Float64 add_offset 0.0000000000000000; } Cloud_Effective_Radius_16_PCL { String coordinates "Latitude Longitude"; Int16 _FillValue -9999; Int16 valid_range 0, 10000; String 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"; String units "micron"; String Parameter_Type "Output"; Int32 Cell_Along_Swath_Sampling 4, 2029, 5; Int32 Cell_Across_Swath_Sampling 3, 1353, 5; String Geolocation_Pointer "External MODIS geolocation product"; Float64 scale_factor 0.0099999997764825821; Float64 add_offset 0.0000000000000000; } Cloud_Effective_Radius_37 { String coordinates "Latitude Longitude"; Int16 _FillValue -9999; Int16 valid_range 0, 10000; String 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"; String units "micron"; String Parameter_Type "Output"; Int32 Cell_Along_Swath_Sampling 4, 2029, 5; Int32 Cell_Across_Swath_Sampling 3, 1353, 5; String Geolocation_Pointer "External MODIS geolocation product"; Float64 scale_factor 0.0099999997764825821; Float64 add_offset 0.0000000000000000; } Cloud_Effective_Radius_37_PCL { String coordinates "Latitude Longitude"; Int16 _FillValue -9999; Int16 valid_range 0, 10000; String 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"; String units "micron"; String Parameter_Type "Output"; Int32 Cell_Along_Swath_Sampling 4, 2029, 5; Int32 Cell_Across_Swath_Sampling 3, 1353, 5; String Geolocation_Pointer "External MODIS geolocation product"; Float64 scale_factor 0.0099999997764825821; Float64 add_offset 0.0000000000000000; } Cloud_Effective_Radius_Uncertainty_16 { String coordinates "Latitude Longitude"; Int16 _FillValue -9999; Int16 valid_range 0, 20000; String 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"; String units "percent"; String Parameter_Type "Output"; Int32 Cell_Along_Swath_Sampling 4, 2029, 5; Int32 Cell_Across_Swath_Sampling 3, 1353, 5; String Geolocation_Pointer "External MODIS geolocation product"; Float64 scale_factor 0.0099999997764825821; Float64 add_offset 0.0000000000000000; } Cloud_Effective_Radius_Uncertainty_37 { String coordinates "Latitude Longitude"; Int16 _FillValue -9999; Int16 valid_range 0, 20000; String 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"; String units "percent"; String Parameter_Type "Output"; Int32 Cell_Along_Swath_Sampling 4, 2029, 5; Int32 Cell_Across_Swath_Sampling 3, 1353, 5; String Geolocation_Pointer "External MODIS geolocation product"; Float64 scale_factor 0.0099999997764825821; Float64 add_offset 0.0000000000000000; } Cloud_Water_Path_PCL { String coordinates "Latitude Longitude"; Int16 _FillValue -9999; Int16 valid_range 0, 10000; String 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"; String units "g/m^2"; String Parameter_Type "Output"; Int32 Cell_Along_Swath_Sampling 4, 2029, 5; Int32 Cell_Across_Swath_Sampling 3, 1353, 5; String Geolocation_Pointer "External MODIS geolocation product"; Float64 scale_factor 1.0000000000000000; Float64 add_offset 0.0000000000000000; } Cloud_Water_Path_16 { String coordinates "Latitude Longitude"; Int16 _FillValue -9999; Int16 valid_range 0, 10000; String 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"; String units "g/m^2"; String Parameter_Type "Output"; Int32 Cell_Along_Swath_Sampling 4, 2029, 5; Int32 Cell_Across_Swath_Sampling 3, 1353, 5; String Geolocation_Pointer "External MODIS geolocation product"; Float64 scale_factor 1.0000000000000000; Float64 add_offset 0.0000000000000000; } Cloud_Water_Path_16_PCL { String coordinates "Latitude Longitude"; Int16 _FillValue -9999; Int16 valid_range 0, 10000; String 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"; String units "g/m^2"; String Parameter_Type "Output"; Int32 Cell_Along_Swath_Sampling 4, 2029, 5; Int32 Cell_Across_Swath_Sampling 3, 1353, 5; String Geolocation_Pointer "External MODIS geolocation product"; Float64 scale_factor 1.0000000000000000; Float64 add_offset 0.0000000000000000; } Cloud_Water_Path_37 { String coordinates "Latitude Longitude"; Int16 _FillValue -9999; Int16 valid_range 0, 10000; String 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"; String units "g/m^2"; String Parameter_Type "Output"; Int32 Cell_Along_Swath_Sampling 4, 2029, 5; Int32 Cell_Across_Swath_Sampling 3, 1353, 5; String Geolocation_Pointer "External MODIS geolocation product"; Float64 scale_factor 1.0000000000000000; Float64 add_offset 0.0000000000000000; } Cloud_Water_Path_37_PCL { String coordinates "Latitude Longitude"; Int16 _FillValue -9999; Int16 valid_range 0, 10000; String 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"; String units "g/m^2"; String Parameter_Type "Output"; Int32 Cell_Along_Swath_Sampling 4, 2029, 5; Int32 Cell_Across_Swath_Sampling 3, 1353, 5; String Geolocation_Pointer "External MODIS geolocation product"; Float64 scale_factor 1.0000000000000000; Float64 add_offset 0.0000000000000000; } Cloud_Water_Path_Uncertainty_16 { String coordinates "Latitude Longitude"; Int16 _FillValue -9999; Int16 valid_range 0, 20000; String 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"; String units "percent"; String Parameter_Type "Output"; Int32 Cell_Along_Swath_Sampling 4, 2029, 5; Int32 Cell_Across_Swath_Sampling 3, 1353, 5; String Geolocation_Pointer "External MODIS geolocation product"; Float64 scale_factor 0.0099999997764825821; Float64 add_offset 0.0000000000000000; } Cloud_Water_Path_Uncertainty_37 { String coordinates "Latitude Longitude"; Int16 _FillValue -9999; Int16 valid_range 0, 20000; String 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"; String units "percent"; String Parameter_Type "Output"; Int32 Cell_Along_Swath_Sampling 4, 2029, 5; Int32 Cell_Across_Swath_Sampling 3, 1353, 5; String Geolocation_Pointer "External MODIS geolocation product"; Float64 scale_factor 0.0099999997764825821; Float64 add_offset 0.0000000000000000; } Cloud_Top_Pressure_1km { String coordinates "Latitude Longitude"; Int16 _FillValue -999; Int16 valid_range 10, 11000; String long_name "Cloud Top Pressure at 1-km resolution from LEOCAT, Cloud Top Pressure Level rounded to nearest 5 mb"; String units "hPa"; String Parameter_Type "Output"; Int32 Cell_Along_Swath_Sampling 4, 2029, 5; Int32 Cell_Across_Swath_Sampling 3, 1353, 5; String Geolocation_Pointer "External MODIS geolocation product"; Float64 scale_factor 0.10000000149011612; Float64 add_offset 0.0000000000000000; } Cloud_Top_Temperature_1km { String coordinates "Latitude Longitude"; Int16 _FillValue -999; Int16 valid_range 0, 20000; String long_name "Cloud Top Temperature at 1-km resolution from LEOCAT, Temperature from Ancillary Data at Retrieved Cloud Top Pressure Level"; String units "K"; String Parameter_Type "Output"; Int32 Cell_Along_Swath_Sampling 4, 2029, 5; Int32 Cell_Across_Swath_Sampling 3, 1353, 5; String Geolocation_Pointer "External MODIS geolocation product"; Float64 scale_factor 0.0099999997764825821; Float64 add_offset 149.99999664723873; } Cloud_Top_Height_1km { String coordinates "Latitude Longitude"; Int16 _FillValue -999; Int16 valid_range 0, 18000; String long_name "Cloud Top Height at 1-km resolution from LEOCAT, Geopotential Height at Retrieved Cloud Top Pressure Level rounded to nearest 50 m"; String units "meters"; String Parameter_Type "Output"; Int32 Cell_Along_Swath_Sampling 4, 2029, 5; Int32 Cell_Across_Swath_Sampling 3, 1353, 5; String Geolocation_Pointer "External MODIS geolocation product"; Float64 scale_factor 1.0000000000000000; Float64 add_offset 0.0000000000000000; } Surface_Temperature_1km { String coordinates "Latitude Longitude"; Int16 _FillValue -999; Int16 valid_range 0, 20000; String long_name "Surface Temperature for Each 1-km MODIS Pixel Interplated from Ancillary Data"; String units "K"; String Parameter_Type "Non MODIS Input"; Int32 Cell_Along_Swath_Sampling 4, 2029, 5; Int32 Cell_Across_Swath_Sampling 3, 1353, 5; String Geolocation_Pointer "External MODIS geolocation product"; Float64 scale_factor 0.0099999997764825821; Float64 add_offset 149.99999664723873; } OS_Top_Flag_1km { String coordinates "Latitude Longitude"; Int32 _FillValue 127; Int32 valid_range 0, 2; String long_name "Upper Tropospheric/Lower Stratospheric (UTLS) Cloud Flag at 1-km resolution - valid from -50 to +50 Degrees Latitude"; String units "none"; String Parameter_Type "Output"; Int32 Cell_Along_Swath_Sampling 4, 2029, 5; Int32 Cell_Across_Swath_Sampling 3, 1353, 5; String Geolocation_Pointer "External geolocation arrays"; String 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) "; Float64 scale_factor 1.0000000000000000; Float64 add_offset 0.0000000000000000; } Cloud_Mask_SPI { String coordinates "Latitude Longitude SPI_nband"; Int16 _FillValue -9999; Int16 valid_range 0, 20000; String long_name "Dispersion in bands 1 (plane 1) and 2 (plane 2) from 250m reflectance statistics of cloud mask"; String units "percent"; String Parameter_Type "Output"; Int32 Cell_Along_Swath_Sampling 4, 2029, 5; Int32 Cell_Across_Swath_Sampling 3, 1353, 5; String Geolocation_Pointer "External MODIS geolocation product"; Float64 scale_factor 0.0099999997764825821; Float64 add_offset 0.0000000000000000; } Cloud_Multi_Layer_Flag { String coordinates "Latitude Longitude"; Int32 _FillValue 0; Int32 valid_range 0, 9; String long_name "Cloud Multi Layer Identification From MODIS Shortwave Observations"; String units "none"; String Parameter_Type "Output"; Int32 Cell_Along_Swath_Sampling 4, 2029, 5; Int32 Cell_Across_Swath_Sampling 3, 1353, 5; String Geolocation_Pointer "External MODIS geolocation product"; String 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. "; Float64 scale_factor 1.0000000000000000; Float64 add_offset 0.0000000000000000; } Cloud_Phase_Infrared_1km { String coordinates "Latitude Longitude"; Int32 _FillValue 127; Int32 valid_range 0, 6; String 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)"; String units "none"; String Parameter_Type "Output"; Int32 Cell_Along_Swath_Sampling 4, 2029, 5; Int32 Cell_Across_Swath_Sampling 3, 1353, 5; String Geolocation_Pointer "External geolocation arrays"; String 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 "; Float64 scale_factor 1.0000000000000000; Float64 add_offset 0.0000000000000000; } Cloud_Top_Height { String coordinates "Latitude Longitude"; Int16 _FillValue -32767; Int16 valid_range 0, 18000; String long_name "Geopotential Height at Retrieved Cloud Top Pressure Level (rounded to nearest 50 m)"; String units "meters"; String Parameter_Type "Output"; Int32 Cell_Along_Swath_Sampling 3, 2028, 5; Int32 Cell_Across_Swath_Sampling 3, 1348, 5; String Geolocation_Pointer "Internal geolocation arrays"; Float64 scale_factor 1.0000000000000000; Float64 add_offset 0.0000000000000000; } Cloud_Height_Method { String coordinates "Latitude Longitude"; Int32 _FillValue 127; Int32 valid_range 1, 6; String long_name "Index Indicating MODIS Bands Used for Cloud Top Pressure Retrieval"; String units "none"; String Parameter_Type "Output"; Int32 Cell_Along_Swath_Sampling 3, 2028, 5; Int32 Cell_Across_Swath_Sampling 3, 1348, 5; String Geolocation_Pointer "Internal geolocation arrays"; String 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 "; Float64 scale_factor 1.0000000000000000; Float64 add_offset 0.0000000000000000; } Infrared_obs_minus_calc { String coordinates "Band_Forcing Latitude Longitude"; Int16 _FillValue -32768; Int16 valid_range -2000, 2000; String long_name "Spectral Cloud Forcing (cloud minus clear radiance)"; String units "Watts/meter2/steradian/micron"; String Parameter_Type "Output"; Int32 Cell_Along_Swath_Sampling 3, 2028, 5; Int32 Cell_Across_Swath_Sampling 3, 1348, 5; String Geolocation_Pointer "Internal geolocation arrays"; String description "\\n Spectral cloud forcing, cloudy-clear radiance, each channel in order: 36, 35, 34, 33 and 31 for Band_Forcing dimension reference "; Float64 scale_factor 0.0099999997764825821; Float64 add_offset 0.0000000000000000; } Cloud_Optical_Thickness_1621_PCL { String coordinates "Latitude Longitude"; Int16 _FillValue -9999; Int16 valid_range 0, 10000; String 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"; String units "none"; String Parameter_Type "Output"; Int32 Cell_Along_Swath_Sampling 4, 2029, 5; Int32 Cell_Across_Swath_Sampling 3, 1353, 5; String Geolocation_Pointer "External MODIS geolocation product"; Float64 scale_factor 0.0099999997764825821; Float64 add_offset 0.0000000000000000; } Cloud_Effective_Radius_1621_PCL { String coordinates "Latitude Longitude"; Int16 _FillValue -9999; Int16 valid_range 0, 10000; String 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"; String units "micron"; String Parameter_Type "Output"; Int32 Cell_Along_Swath_Sampling 4, 2029, 5; Int32 Cell_Across_Swath_Sampling 3, 1353, 5; String Geolocation_Pointer "External MODIS geolocation product"; Float64 scale_factor 0.0099999997764825821; Float64 add_offset 0.0000000000000000; } Cloud_Water_Path_1621_PCL { String coordinates "Latitude Longitude"; Int16 _FillValue -9999; Int16 valid_range 0, 10000; String 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"; String units "g/m^2"; String Parameter_Type "Output"; Int32 Cell_Along_Swath_Sampling 4, 2029, 5; Int32 Cell_Across_Swath_Sampling 3, 1353, 5; String Geolocation_Pointer "External MODIS geolocation product"; Float64 scale_factor 1.0000000000000000; Float64 add_offset 0.0000000000000000; } Retrieval_Failure_Metric { String coordinates "Latitude Longitude RFM_nband"; Int16 _FillValue -9999; Int16 valid_range 0, 20000; String 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)"; String units "by plane in order: 1-none, 2-micron, 3-percent"; String Parameter_Type "Output"; Int32 Cell_Along_Swath_Sampling 4, 2029, 5; Int32 Cell_Across_Swath_Sampling 3, 1353, 5; String Geolocation_Pointer "External MODIS geolocation product"; String 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 "; Float64 scale_factor 0.0099999997764825821; Float64 add_offset 0.0000000000000000; } Retrieval_Failure_Metric_16 { String coordinates "Latitude Longitude RFM_nband"; Int16 _FillValue -9999; Int16 valid_range 0, 20000; String 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)"; String units "by plane in order: 1-none, 2-micron, 3-percent"; String Parameter_Type "Output"; Int32 Cell_Along_Swath_Sampling 4, 2029, 5; Int32 Cell_Across_Swath_Sampling 3, 1353, 5; String Geolocation_Pointer "External MODIS geolocation product"; String 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 "; Float64 scale_factor 0.0099999997764825821; Float64 add_offset 0.0000000000000000; } Retrieval_Failure_Metric_37 { String coordinates "Latitude Longitude RFM_nband"; Int16 _FillValue -9999; Int16 valid_range 0, 20000; String 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)"; String units "by plane in order: 1-none, 2-micron, 3-percent"; String Parameter_Type "Output"; Int32 Cell_Along_Swath_Sampling 4, 2029, 5; Int32 Cell_Across_Swath_Sampling 3, 1353, 5; String Geolocation_Pointer "External MODIS geolocation product"; String 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 "; Float64 scale_factor 0.0099999997764825821; Float64 add_offset 0.0000000000000000; } Retrieval_Failure_Metric_1621 { String coordinates "Latitude Longitude RFM_nband"; Int16 _FillValue -9999; Int16 valid_range 0, 20000; String long_name "Retrievals and other information for points that failed to retrievevia standard solution logic for retrieval using band 6 and band 7"; String units "by plane in order: 1-none, 2-micron, 3-percent"; String Parameter_Type "Output"; Int32 Cell_Along_Swath_Sampling 4, 2029, 5; Int32 Cell_Across_Swath_Sampling 3, 1353, 5; String Geolocation_Pointer "External MODIS geolocation product"; String 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 "; Float64 scale_factor 0.0099999997764825821; Float64 add_offset 0.0000000000000000; } CoreMetadata { INVENTORYMETADATA { String GROUPTYPE "MASTERGROUP"; ECSDATAGRANULE { REPROCESSINGPLANNED { Int32 NUM_VAL 1; String VALUE "\"further update is anticipated\""; 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} } } } } } ArchiveMetadata { ARCHIVEDMETADATA { String GROUPTYPE "MASTERGROUP"; PROCESSINGENVIRONMENT { Int32 NUM_VAL 1; String VALUE "\"Linux minion7033 3.10.0-693.11.6.el7.x86_64 #1 SMP Thu Jan 4 01:06:37 UTC 2018 x86_64 x86_64 x86_64 GNU/Linux\""; } LONGNAME { Int32 NUM_VAL 1; String VALUE "\"MODIS/Terra Aerosol, Cloud and Water Vapor Subset 5-Min L2 Swath 5km and 10km\""; } INSTRUMENTNAME { Int32 NUM_VAL 1; String VALUE "\"Moderate Resolution Imaging Spectroradiometer\""; } GPOLYGON { GPOLYGONCONTAINER { String CLASS "\"1\""; GRING { String CLASS "\"1\""; EXCLUSIONGRINGFLAG { Int32 NUM_VAL 1; String CLASS "\"1\""; String VALUE "\"N\""; } } GRINGPOINT { String CLASS "\"1\""; GRINGPOINTLONGITUDE { Int32 NUM_VAL 4; String CLASS "\"1\""; Float64 VALUE -174.12876761035, 142.761516154992, 109.870104004149, -165.606402225514; } GRINGPOINTLATITUDE { Int32 NUM_VAL 4; String CLASS "\"1\""; Float64 VALUE 63.7521558832292, 57.722553363439, 69.3006513813604, 81.9020424360443; } GRINGPOINTSEQUENCENO { Int32 NUM_VAL 4; String CLASS "\"1\""; Float64 VALUE 1, 2, 3, 4; } } } } DESCRREVISION { Int32 NUM_VAL 1; String VALUE "\"6.0\""; } PRODUCTIONHISTORY { Int32 NUM_VAL 1; String VALUE "\"PGE83:6.0.12\""; } } } HDF_GLOBAL { String HDFEOSVersion "HDFEOS_V2.19"; String identifier_product_doi "10.5067/MODIS/MODATML2.006"; String identifier_product_doi_authority "http://dx.doi.org"; } }