HDF4 file: 2240 data descriptors
library version = "HDF Version 4.2 Release 11, February 5, 2015"
vgroup "atml2" class "SWATH"
	vgroup "Geolocation Fields" class "SWATH Vgroup"
	vgroup "Data Fields" class "SWATH Vgroup"
	vgroup "Swath Attributes" class "SWATH Vgroup"
		attribute _FV_Cloud_Optical_Thickness = -9999
		attribute _FV_Cloud_Effective_Radius = -9999
		attribute _FV_Cloud_Water_Path = -9999
		attribute _FV_Cloud_Optical_Thickness_1621 = -9999
		attribute _FV_Cloud_Effective_Radius_1621 = -9999
		attribute _FV_Cloud_Water_Path_1621 = -9999
		attribute _FV_Cloud_Optical_Thickness_Uncertainty = -9999
		attribute _FV_Cloud_Effective_Radius_Uncertainty = -9999
		attribute _FV_Cloud_Water_Path_Uncertainty = -9999
		attribute _FV_Cloud_Optical_Thickness_Uncertainty_1621 = -9999
		attribute _FV_Cloud_Effective_Radius_Uncertainty_1621 = -9999
		attribute _FV_Cloud_Water_Path_Uncertainty_1621 = -9999
		attribute _FV_Cloud_Phase_Optical_Properties = 0
		attribute _FV_Cloud_Phase_Infrared = 127
		attribute _FV_Cloud_Quality_Assurance = 0
		attribute _FV_Cirrus_Reflectance = -9999
		attribute _FV_Cloud_Top_Pressure = -32768
		attribute _FV_Cloud_Top_Temperature = -32768
		attribute _FV_Cloud_Fraction = 127
		attribute _FV_Precipitable_Water_Infrared_ClearSky = -9999
		attribute _FV_Cloud_Mask = 0
		attribute _FV_Latitude = -999.0
		attribute _FV_Longitude = -999.0
		attribute _FV_Total_Ozone = -32768
		attribute _FV_Lifted_Index = -32768
		attribute _FV_K_Index = -32768
		attribute _FV_Total_Totals_Index = -32768
		attribute _FV_Precipitable_Water_Near_Infrared_ClearSky = -9999
		attribute _FV_Cloud_Optical_Thickness_PCL = -9999
		attribute _FV_Cloud_Optical_Thickness_16 = -9999
		attribute _FV_Cloud_Optical_Thickness_16_PCL = -9999
		attribute _FV_Cloud_Optical_Thickness_37 = -9999
		attribute _FV_Cloud_Optical_Thickness_37_PCL = -9999
		attribute _FV_Cloud_Optical_Thickness_Uncertainty_16 = -9999
		attribute _FV_Cloud_Optical_Thickness_Uncertainty_37 = -9999
		attribute _FV_Cloud_Effective_Radius_PCL = -9999
		attribute _FV_Cloud_Effective_Radius_16 = -9999
		attribute _FV_Cloud_Effective_Radius_16_PCL = -9999
		attribute _FV_Cloud_Effective_Radius_37 = -9999
		attribute _FV_Cloud_Effective_Radius_37_PCL = -9999
		attribute _FV_Cloud_Effective_Radius_Uncertainty_16 = -9999
		attribute _FV_Cloud_Effective_Radius_Uncertainty_37 = -9999
		attribute _FV_Cloud_Water_Path_PCL = -9999
		attribute _FV_Cloud_Water_Path_16 = -9999
		attribute _FV_Cloud_Water_Path_16_PCL = -9999
		attribute _FV_Cloud_Water_Path_37 = -9999
		attribute _FV_Cloud_Water_Path_37_PCL = -9999
		attribute _FV_Cloud_Water_Path_Uncertainty_16 = -9999
		attribute _FV_Cloud_Water_Path_Uncertainty_37 = -9999
		attribute _FV_Cloud_Top_Pressure_1km = -999
		attribute _FV_Cloud_Top_Temperature_1km = -999
		attribute _FV_Cloud_Top_Height_1km = -999
		attribute _FV_Surface_Temperature_1km = -999
		attribute _FV_OS_Top_Flag_1km = 127
		attribute _FV_Cloud_Mask_SPI = -9999
		attribute _FV_Cloud_Multi_Layer_Flag = 0
		attribute _FV_Cloud_Phase_Infrared_1km = 127
		attribute _FV_Cloud_Top_Height = -32767
		attribute _FV_Cloud_Height_Method = 127
		attribute _FV_Infrared_obs_minus_calc = -32768
		attribute _FV_Cloud_Optical_Thickness_1621_PCL = -9999
		attribute _FV_Cloud_Effective_Radius_1621_PCL = -9999
		attribute _FV_Cloud_Water_Path_1621_PCL = -9999
		attribute _FV_Retrieval_Failure_Metric = -9999
		attribute _FV_Retrieval_Failure_Metric_16 = -9999
		attribute _FV_Retrieval_Failure_Metric_37 = -9999
		attribute _FV_Retrieval_Failure_Metric_1621 = -9999
vgroup "MYDATML2.A2005172.0615.061.2018024083005.hdf.temp" class "CDF0.0"
	vgroup "Cell_Along_Swath_5km:atml2" class "Dim0.0"
		vdata "Cell_Along_Swath_5km:atml2" class "DimVal0.1": fields Values; 1 records
	vgroup "Cell_Across_Swath_5km:atml2" class "Dim0.0"
		vdata "Cell_Across_Swath_5km:atml2" class "DimVal0.1": fields Values; 1 records
	vgroup "QA_Parameter_5km:atml2" class "Dim0.0"
		vdata "QA_Parameter_5km:atml2" class "DimVal0.1": fields Values; 1 records
	vgroup "Byte_Segment:atml2" class "Dim0.0"
		vdata "Byte_Segment:atml2" class "DimVal0.1": fields Values; 1 records
	vgroup "SPI_nband:atml2" class "Dim0.0"
		vdata "SPI_nband:atml2" class "DimVal0.1": fields Values; 1 records
	vgroup "Band_Forcing:atml2" class "Dim0.0"
		vdata "Band_Forcing:atml2" class "DimVal0.1": fields Values; 1 records
	vgroup "RFM_nband:atml2" class "Dim0.0"
		vdata "RFM_nband:atml2" class "DimVal0.1": fields Values; 1 records
	vgroup "Latitude" class "Var0.0"
		attribute _FillValue = -999.0
		attribute units = "degrees"
		attribute valid_range = -90.0, 90.0
		vdata "" class "SDSVar": fields SDS variable; 0 records
	vgroup "Longitude" class "Var0.0"
		attribute _FillValue = -999.0
		attribute units = "degrees"
		attribute valid_range = -180.0, 180.0
		vdata "" class "SDSVar": fields SDS variable; 0 records
	vgroup "Cloud_Optical_Thickness" class "Var0.0"
		attribute 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"
		attribute units = "none"
		attribute valid_range = 0, 10000
		attribute _FillValue = -9999
		attribute scale_factor = 0.009999999776482582
		attribute add_offset = 0.0
		attribute Parameter_Type = "Output"
		attribute Cell_Along_Swath_Sampling = 3, 2038, 5
		attribute Cell_Across_Swath_Sampling = 3, 1348, 5
		attribute Geolocation_Pointer = "External MODIS geolocation product"
		attribute 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."
		attribute source_info = "\nMYD06_L2.A2005172.0615.061.2018024082951.hdf\npge06v6.1.4\n	Cloud_Optical_Thickness"
		vdata "" class "SDSVar": fields SDS variable; 0 records
	vgroup "Cloud_Effective_Radius" class "Var0.0"
		attribute 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"
		attribute units = "micron"
		attribute valid_range = 0, 10000
		attribute _FillValue = -9999
		attribute scale_factor = 0.009999999776482582
		attribute add_offset = 0.0
		attribute Parameter_Type = "Output"
		attribute Cell_Along_Swath_Sampling = 3, 2038, 5
		attribute Cell_Across_Swath_Sampling = 3, 1348, 5
		attribute Geolocation_Pointer = "External MODIS geolocation product"
		attribute 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."
		attribute source_info = "\nMYD06_L2.A2005172.0615.061.2018024082951.hdf\npge06v6.1.4\n	Cloud_Effective_Radius"
		vdata "" class "SDSVar": fields SDS variable; 0 records
	vgroup "Cloud_Water_Path" class "Var0.0"
		attribute 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"
		attribute units = "g/m^2"
		attribute valid_range = 0, 10000
		attribute _FillValue = -9999
		attribute scale_factor = 1.0
		attribute add_offset = 0.0
		attribute Parameter_Type = "Output"
		attribute Cell_Along_Swath_Sampling = 3, 2038, 5
		attribute Cell_Across_Swath_Sampling = 3, 1348, 5
		attribute Geolocation_Pointer = "External MODIS geolocation product"
		attribute 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."
		attribute source_info = "\nMYD06_L2.A2005172.0615.061.2018024082951.hdf\npge06v6.1.4\n	Cloud_Water_Path"
		vdata "" class "SDSVar": fields SDS variable; 0 records
	vgroup "Cloud_Optical_Thickness_1621" class "Var0.0"
		attribute 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"
		attribute units = "none"
		attribute valid_range = 0, 10000
		attribute _FillValue = -9999
		attribute scale_factor = 0.009999999776482582
		attribute add_offset = 0.0
		attribute Parameter_Type = "Output"
		attribute Cell_Along_Swath_Sampling = 3, 2038, 5
		attribute Cell_Across_Swath_Sampling = 3, 1348, 5
		attribute Geolocation_Pointer = "External MODIS geolocation product"
		attribute 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."
		attribute source_info = "\nMYD06_L2.A2005172.0615.061.2018024082951.hdf\npge06v6.1.4\n	Cloud_Optical_Thickness_1621"
		vdata "" class "SDSVar": fields SDS variable; 0 records
	vgroup "Cloud_Effective_Radius_1621" class "Var0.0"
		attribute 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"
		attribute units = "micron"
		attribute valid_range = 0, 10000
		attribute _FillValue = -9999
		attribute scale_factor = 0.009999999776482582
		attribute add_offset = 0.0
		attribute Parameter_Type = "Output"
		attribute Cell_Along_Swath_Sampling = 3, 2038, 5
		attribute Cell_Across_Swath_Sampling = 3, 1348, 5
		attribute Geolocation_Pointer = "External MODIS geolocation product"
		attribute 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."
		attribute source_info = "\nMYD06_L2.A2005172.0615.061.2018024082951.hdf\npge06v6.1.4\n	Cloud_Effective_Radius_1621"
		vdata "" class "SDSVar": fields SDS variable; 0 records
	vgroup "Cloud_Water_Path_1621" class "Var0.0"
		attribute 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"
		attribute units = "g/m^2"
		attribute valid_range = 0, 10000
		attribute _FillValue = -9999
		attribute scale_factor = 1.0
		attribute add_offset = 0.0
		attribute Parameter_Type = "Output"
		attribute Cell_Along_Swath_Sampling = 3, 2038, 5
		attribute Cell_Across_Swath_Sampling = 3, 1348, 5
		attribute Geolocation_Pointer = "External MODIS geolocation product"
		attribute 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."
		attribute source_info = "\nMYD06_L2.A2005172.0615.061.2018024082951.hdf\npge06v6.1.4\n	Cloud_Water_Path_1621"
		vdata "" class "SDSVar": fields SDS variable; 0 records
	vgroup "Cloud_Optical_Thickness_Uncertainty" class "Var0.0"
		attribute 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"
		attribute units = "percent"
		attribute valid_range = 0, 20000
		attribute _FillValue = -9999
		attribute scale_factor = 0.009999999776482582
		attribute add_offset = 0.0
		attribute Parameter_Type = "Output"
		attribute Cell_Along_Swath_Sampling = 3, 2038, 5
		attribute Cell_Across_Swath_Sampling = 3, 1348, 5
		attribute Geolocation_Pointer = "External MODIS geolocation product"
		attribute 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."
		attribute source_info = "\nMYD06_L2.A2005172.0615.061.2018024082951.hdf\npge06v6.1.4\n	Cloud_Optical_Thickness_Uncertainty"
		vdata "" class "SDSVar": fields SDS variable; 0 records
	vgroup "Cloud_Effective_Radius_Uncertainty" class "Var0.0"
		attribute 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"
		attribute units = "percent"
		attribute valid_range = 0, 20000
		attribute _FillValue = -9999
		attribute scale_factor = 0.009999999776482582
		attribute add_offset = 0.0
		attribute Parameter_Type = "Output"
		attribute Cell_Along_Swath_Sampling = 3, 2038, 5
		attribute Cell_Across_Swath_Sampling = 3, 1348, 5
		attribute Geolocation_Pointer = "External MODIS geolocation product"
		attribute 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."
		attribute source_info = "\nMYD06_L2.A2005172.0615.061.2018024082951.hdf\npge06v6.1.4\n	Cloud_Effective_Radius_Uncertainty"
		vdata "" class "SDSVar": fields SDS variable; 0 records
	vgroup "Cloud_Water_Path_Uncertainty" class "Var0.0"
		attribute 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"
		attribute units = "percent"
		attribute valid_range = 0, 20000
		attribute _FillValue = -9999
		attribute scale_factor = 0.009999999776482582
		attribute add_offset = 0.0
		attribute Parameter_Type = "Output"
		attribute Cell_Along_Swath_Sampling = 3, 2038, 5
		attribute Cell_Across_Swath_Sampling = 3, 1348, 5
		attribute Geolocation_Pointer = "External MODIS geolocation product"
		attribute 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."
		attribute source_info = "\nMYD06_L2.A2005172.0615.061.2018024082951.hdf\npge06v6.1.4\n	Cloud_Water_Path_Uncertainty"
		vdata "" class "SDSVar": fields SDS variable; 0 records
	vgroup "Cloud_Optical_Thickness_Uncertainty_1621" class "Var0.0"
		attribute 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"
		attribute units = "percent"
		attribute valid_range = 0, 20000
		attribute _FillValue = -9999
		attribute scale_factor = 0.009999999776482582
		attribute add_offset = 0.0
		attribute Parameter_Type = "Output"
		attribute Cell_Along_Swath_Sampling = 3, 2038, 5
		attribute Cell_Across_Swath_Sampling = 3, 1348, 5
		attribute Geolocation_Pointer = "External MODIS geolocation product"
		attribute 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."
		attribute source_info = "\nMYD06_L2.A2005172.0615.061.2018024082951.hdf\npge06v6.1.4\n	Cloud_Optical_Thickness_Uncertainty_1621"
		vdata "" class "SDSVar": fields SDS variable; 0 records
	vgroup "Cloud_Effective_Radius_Uncertainty_1621" class "Var0.0"
		attribute 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"
		attribute units = "percent"
		attribute valid_range = 0, 20000
		attribute _FillValue = -9999
		attribute scale_factor = 0.009999999776482582
		attribute add_offset = 0.0
		attribute Parameter_Type = "Output"
		attribute Cell_Along_Swath_Sampling = 3, 2038, 5
		attribute Cell_Across_Swath_Sampling = 3, 1348, 5
		attribute Geolocation_Pointer = "External MODIS geolocation product"
		attribute 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."
		attribute source_info = "\nMYD06_L2.A2005172.0615.061.2018024082951.hdf\npge06v6.1.4\n	Cloud_Effective_Radius_Uncertainty_1621"
		vdata "" class "SDSVar": fields SDS variable; 0 records
	vgroup "Cloud_Water_Path_Uncertainty_1621" class "Var0.0"
		attribute 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"
		attribute units = "percent"
		attribute valid_range = 0, 20000
		attribute _FillValue = -9999
		attribute scale_factor = 0.009999999776482582
		attribute add_offset = 0.0
		attribute Parameter_Type = "Output"
		attribute Cell_Along_Swath_Sampling = 3, 2038, 5
		attribute Cell_Across_Swath_Sampling = 3, 1348, 5
		attribute Geolocation_Pointer = "External MODIS geolocation product"
		attribute 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."
		attribute source_info = "\nMYD06_L2.A2005172.0615.061.2018024082951.hdf\npge06v6.1.4\n	Cloud_Water_Path_Uncertainty_1621"
		vdata "" class "SDSVar": fields SDS variable; 0 records
	vgroup "Cloud_Phase_Optical_Properties" class "Var0.0"
		attribute long_name = "Cloud Phase Determination Used in Optical Thickness/Effective Radius Retrieval"
		attribute units = "none"
		attribute valid_range = 0, 4
		attribute _FillValue = 0
		attribute scale_factor = 1.0
		attribute add_offset = 0.0
		attribute Parameter_Type = "Output"
		attribute Cell_Along_Swath_Sampling = 3, 2038, 5
		attribute Cell_Across_Swath_Sampling = 3, 1348, 5
		attribute Geolocation_Pointer = "External MODIS geolocation product"
		attribute description = (text block)
| \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
		attribute 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."
		attribute source_info = "\nMYD06_L2.A2005172.0615.061.2018024082951.hdf\npge06v6.1.4\n	Cloud_Phase_Optical_Properties"
		vdata "" class "SDSVar": fields SDS variable; 0 records
	vgroup "Cloud_Phase_Infrared" class "Var0.0"
		attribute long_name = "Cloud Phase from 8.5 and 11 um Bands"
		attribute units = "none"
		attribute valid_range = 0, 6
		attribute _FillValue = 127
		attribute scale_factor = 1.0
		attribute add_offset = 0.0
		attribute Parameter_Type = "Output"
		attribute Cell_Along_Swath_Sampling = 3, 2038, 5
		attribute Cell_Across_Swath_Sampling = 3, 1348, 5
		attribute Geolocation_Pointer = "Internal geolocation arrays"
		attribute source_info = "\nMYD06_L2.A2005172.0615.061.2018024082951.hdf\npge06v6.1.4\n	Cloud_Phase_Infrared"
		vdata "" class "SDSVar": fields SDS variable; 0 records
	vgroup "Cloud_Quality_Assurance" class "Var0.0"
		attribute long_name = "Cloud Quality Assurance at 5km Resolution"
		attribute units = "none"
		attribute valid_range = 0, -1
		attribute _FillValue = 0
		attribute scale_factor = 1.0
		attribute add_offset = 0.0
		attribute Parameter_Type = "Output"
		attribute Cell_Along_Swath_Sampling = 4, 2039, 5
		attribute Cell_Across_Swath_Sampling = 3, 1348, 5
		attribute Geolocation_Pointer = "External MODIS geolocation product"
		attribute description = (text block)
| \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
		attribute 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."
		attribute source_info = "\nMYD06_L2.A2005172.0615.061.2018024082951.hdf\npge06v6.1.4\n	Quality_Assurance_1km"
		vdata "" class "SDSVar": fields SDS variable; 0 records
	vgroup "Cirrus_Reflectance" class "Var0.0"
		attribute long_name = "Cirrus Reflectance"
		attribute units = "none"
		attribute valid_range = 0, 8000
		attribute _FillValue = -9999
		attribute scale_factor = 0.00019999999494757503
		attribute add_offset = 0.0
		attribute Parameter_Type = "Output"
		attribute Cell_Along_Swath_Sampling = 3, 2038, 5
		attribute Cell_Across_Swath_Sampling = 3, 1348, 5
		attribute Geolocation_Pointer = "External MODIS geolocation product"
		attribute 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."
		attribute source_info = "\nMYD06_L2.A2005172.0615.061.2018024082951.hdf\npge06v6.1.4\n	Cirrus_Reflectance"
		vdata "" class "SDSVar": fields SDS variable; 0 records
	vgroup "Cloud_Top_Pressure" class "Var0.0"
		attribute long_name = "Cloud Top Pressure Level (rounded to nearest 5 mb)"
		attribute units = "hPa"
		attribute valid_range = 10, 11000
		attribute _FillValue = -32768
		attribute scale_factor = 0.10000000149011612
		attribute add_offset = 0.0
		attribute Parameter_Type = "Output"
		attribute Cell_Along_Swath_Sampling = 3, 2038, 5
		attribute Cell_Across_Swath_Sampling = 3, 1348, 5
		attribute Geolocation_Pointer = "Internal geolocation arrays"
		attribute source_info = "\nMYD06_L2.A2005172.0615.061.2018024082951.hdf\npge06v6.1.4\n	Cloud_Top_Pressure"
		vdata "" class "SDSVar": fields SDS variable; 0 records
	vgroup "Cloud_Top_Temperature" class "Var0.0"
		attribute long_name = "Temperature from Ancillary Data at Retrieved Cloud Top Pressure Level"
		attribute units = "K"
		attribute valid_range = 0, 20000
		attribute _FillValue = -32768
		attribute scale_factor = 0.009999999776482582
		attribute add_offset = -15000.0
		attribute Parameter_Type = "Output"
		attribute Cell_Along_Swath_Sampling = 3, 2038, 5
		attribute Cell_Across_Swath_Sampling = 3, 1348, 5
		attribute Geolocation_Pointer = "Internal geolocation arrays"
		attribute source_info = "\nMYD06_L2.A2005172.0615.061.2018024082951.hdf\npge06v6.1.4\n	Cloud_Top_Temperature"
		vdata "" class "SDSVar": fields SDS variable; 0 records
	vgroup "Cloud_Fraction" class "Var0.0"
		attribute long_name = "Cloud Fraction in Retrieval Region (5x5 1-km Pixels) from 1-km Cloud Mask"
		attribute units = "none"
		attribute valid_range = 0, 100
		attribute _FillValue = 127
		attribute scale_factor = 0.009999999776482582
		attribute add_offset = 0.0
		attribute Parameter_Type = "Output"
		attribute Cell_Along_Swath_Sampling = 3, 2038, 5
		attribute Cell_Across_Swath_Sampling = 3, 1348, 5
		attribute Geolocation_Pointer = "Internal geolocation arrays"
		attribute source_info = "\nMYD06_L2.A2005172.0615.061.2018024082951.hdf\npge06v6.1.4\n	Cloud_Fraction"
		vdata "" class "SDSVar": fields SDS variable; 0 records
	vgroup "Precipitable_Water_Infrared_ClearSky" class "Var0.0"
		attribute long_name = "Total Column Precipitable Water Vapor - IR Clear Retrieval"
		attribute units = "cm"
		attribute valid_range = 0, 20000
		attribute _FillValue = -9999
		attribute scale_factor = 0.0010000000474974513
		attribute add_offset = 0.0
		attribute Parameter_Type = "Output"
		attribute Cell_Along_Swath_Sampling = 3, 2038, 5
		attribute Cell_Across_Swath_Sampling = 3, 1348, 5
		attribute Geolocation_Pointer = "Internal geolocation arrays"
		attribute source_info = "\nMYD07_L2.A2005172.0615.061.2018024014020.hdf\npge03v6.1.1\n	Water_Vapor"
		vdata "" class "SDSVar": fields SDS variable; 0 records
	vgroup "Cloud_Mask" class "Var0.0"
		attribute long_name = "MODIS Cloud Mask"
		attribute units = "none"
		attribute valid_range = 0, -1
		attribute _FillValue = 0
		attribute scale_factor = 1.0
		attribute add_offset = 0.0
		attribute Parameter_Type = "Output"
		attribute Cell_Along_Swath_Sampling = 4, 2039, 5
		attribute Cell_Across_Swath_Sampling = 3, 1348, 5
		attribute Geolocation_Pointer = "External MODIS geolocation product"
		attribute description = (text block)
| \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
		attribute 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."
		attribute source_info = "\nMYD35_L2.A2005172.0615.061.2018024013941.hdf\npge03v6.1.1\n	Cloud_Mask"
		vdata "" class "SDSVar": fields SDS variable; 0 records
	vgroup "Total_Ozone" class "Var0.0"
		attribute _FillValue = -32768
		attribute valid_range = 0, 5000
		attribute long_name = "Total Ozone Burden"
		attribute units = "Dobson"
		attribute scale_factor = 0.10000000149011612
		attribute add_offset = 0.0
		attribute Parameter_Type = "Output"
		attribute Cell_Along_Swath_Sampling = 3, 2038, 5
		attribute Cell_Across_Swath_Sampling = 3, 1348, 5
		attribute Geolocation_Pointer = "Internal geolocation arrays"
		vdata "" class "SDSVar": fields SDS variable; 0 records
	vgroup "Lifted_Index" class "Var0.0"
		attribute _FillValue = -32768
		attribute valid_range = -2000, 4000
		attribute long_name = "Lifted Index"
		attribute units = "K"
		attribute scale_factor = 0.009999999776482582
		attribute add_offset = 0.0
		attribute Parameter_Type = "Output"
		attribute Cell_Along_Swath_Sampling = 3, 2038, 5
		attribute Cell_Across_Swath_Sampling = 3, 1348, 5
		attribute Geolocation_Pointer = "Internal geolocation arrays"
		vdata "" class "SDSVar": fields SDS variable; 0 records
	vgroup "K_Index" class "Var0.0"
		attribute _FillValue = -32768
		attribute valid_range = 11500, 20000
		attribute long_name = "K_Index"
		attribute units = "K"
		attribute scale_factor = 0.009999999776482582
		attribute add_offset = -15000.0
		attribute Parameter_Type = "Output"
		attribute Cell_Along_Swath_Sampling = 3, 2038, 5
		attribute Cell_Across_Swath_Sampling = 3, 1348, 5
		attribute Geolocation_Pointer = "Internal geolocation arrays"
		vdata "" class "SDSVar": fields SDS variable; 0 records
	vgroup "Total_Totals_Index" class "Var0.0"
		attribute _FillValue = -32768
		attribute valid_range = 0, 8000
		attribute long_name = "Total Totals"
		attribute units = "K"
		attribute scale_factor = 0.009999999776482582
		attribute add_offset = 0.0
		attribute Parameter_Type = "Output"
		attribute Cell_Along_Swath_Sampling = 3, 2038, 5
		attribute Cell_Across_Swath_Sampling = 3, 1348, 5
		attribute Geolocation_Pointer = "Internal geolocation arrays"
		vdata "" class "SDSVar": fields SDS variable; 0 records
	vgroup "Precipitable_Water_Near_Infrared_ClearSky" class "Var0.0"
		attribute _FillValue = -9999
		attribute long_name = "Total Column Precipitable Water Vapor - Near Infrared Retrieval"
		attribute unit = "cm"
		attribute scale_factor = 0.0010000000474974513
		attribute add_offset = 0.0
		attribute Parameter_Type = "Output"
		attribute Cell_Along_Swath_Sampling = 4, 2039, 5
		attribute Cell_Across_Swath_Sampling = 3, 1353, 5
		attribute Geolocation_Pointer = "Internal geolocation arrays"
		attribute valid_range = 0, 20000
		vdata "" class "SDSVar": fields SDS variable; 0 records
	vgroup "Cloud_Optical_Thickness_PCL" class "Var0.0"
		attribute _FillValue = -9999
		attribute valid_range = 0, 10000
		attribute 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"
		attribute units = "none"
		attribute scale_factor = 0.009999999776482582
		attribute add_offset = 0.0
		attribute Parameter_Type = "Output"
		attribute Cell_Along_Swath_Sampling = 4, 2039, 5
		attribute Cell_Across_Swath_Sampling = 3, 1353, 5
		attribute Geolocation_Pointer = "External MODIS geolocation product"
		vdata "" class "SDSVar": fields SDS variable; 0 records
	vgroup "Cloud_Optical_Thickness_16" class "Var0.0"
		attribute _FillValue = -9999
		attribute valid_range = 0, 10000
		attribute 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"
		attribute units = "none"
		attribute scale_factor = 0.009999999776482582
		attribute add_offset = 0.0
		attribute Parameter_Type = "Output"
		attribute Cell_Along_Swath_Sampling = 4, 2039, 5
		attribute Cell_Across_Swath_Sampling = 3, 1353, 5
		attribute Geolocation_Pointer = "External MODIS geolocation product"
		vdata "" class "SDSVar": fields SDS variable; 0 records
	vgroup "Cloud_Optical_Thickness_16_PCL" class "Var0.0"
		attribute _FillValue = -9999
		attribute valid_range = 0, 10000
		attribute 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"
		attribute units = "none"
		attribute scale_factor = 0.009999999776482582
		attribute add_offset = 0.0
		attribute Parameter_Type = "Output"
		attribute Cell_Along_Swath_Sampling = 4, 2039, 5
		attribute Cell_Across_Swath_Sampling = 3, 1353, 5
		attribute Geolocation_Pointer = "External MODIS geolocation product"
		vdata "" class "SDSVar": fields SDS variable; 0 records
	vgroup "Cloud_Optical_Thickness_37" class "Var0.0"
		attribute _FillValue = -9999
		attribute valid_range = 0, 10000
		attribute 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"
		attribute units = "none"
		attribute scale_factor = 0.009999999776482582
		attribute add_offset = 0.0
		attribute Parameter_Type = "Output"
		attribute Cell_Along_Swath_Sampling = 4, 2039, 5
		attribute Cell_Across_Swath_Sampling = 3, 1353, 5
		attribute Geolocation_Pointer = "External MODIS geolocation product"
		vdata "" class "SDSVar": fields SDS variable; 0 records
	vgroup "Cloud_Optical_Thickness_37_PCL" class "Var0.0"
		attribute _FillValue = -9999
		attribute valid_range = 0, 10000
		attribute 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"
		attribute units = "none"
		attribute scale_factor = 0.009999999776482582
		attribute add_offset = 0.0
		attribute Parameter_Type = "Output"
		attribute Cell_Along_Swath_Sampling = 4, 2039, 5
		attribute Cell_Across_Swath_Sampling = 3, 1353, 5
		attribute Geolocation_Pointer = "External MODIS geolocation product"
		vdata "" class "SDSVar": fields SDS variable; 0 records
	vgroup "Cloud_Optical_Thickness_Uncertainty_16" class "Var0.0"
		attribute _FillValue = -9999
		attribute valid_range = 0, 20000
		attribute 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"
		attribute units = "percent"
		attribute scale_factor = 0.009999999776482582
		attribute add_offset = 0.0
		attribute Parameter_Type = "Output"
		attribute Cell_Along_Swath_Sampling = 4, 2039, 5
		attribute Cell_Across_Swath_Sampling = 3, 1353, 5
		attribute Geolocation_Pointer = "External MODIS geolocation product"
		vdata "" class "SDSVar": fields SDS variable; 0 records
	vgroup "Cloud_Optical_Thickness_Uncertainty_37" class "Var0.0"
		attribute _FillValue = -9999
		attribute valid_range = 0, 20000
		attribute 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"
		attribute units = "percent"
		attribute scale_factor = 0.009999999776482582
		attribute add_offset = 0.0
		attribute Parameter_Type = "Output"
		attribute Cell_Along_Swath_Sampling = 4, 2039, 5
		attribute Cell_Across_Swath_Sampling = 3, 1353, 5
		attribute Geolocation_Pointer = "External MODIS geolocation product"
		vdata "" class "SDSVar": fields SDS variable; 0 records
	vgroup "Cloud_Effective_Radius_PCL" class "Var0.0"
		attribute _FillValue = -9999
		attribute valid_range = 0, 10000
		attribute 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"
		attribute units = "micron"
		attribute scale_factor = 0.009999999776482582
		attribute add_offset = 0.0
		attribute Parameter_Type = "Output"
		attribute Cell_Along_Swath_Sampling = 4, 2039, 5
		attribute Cell_Across_Swath_Sampling = 3, 1353, 5
		attribute Geolocation_Pointer = "External MODIS geolocation product"
		vdata "" class "SDSVar": fields SDS variable; 0 records
	vgroup "Cloud_Effective_Radius_16" class "Var0.0"
		attribute _FillValue = -9999
		attribute valid_range = 0, 10000
		attribute 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"
		attribute units = "micron"
		attribute scale_factor = 0.009999999776482582
		attribute add_offset = 0.0
		attribute Parameter_Type = "Output"
		attribute Cell_Along_Swath_Sampling = 4, 2039, 5
		attribute Cell_Across_Swath_Sampling = 3, 1353, 5
		attribute Geolocation_Pointer = "External MODIS geolocation product"
		vdata "" class "SDSVar": fields SDS variable; 0 records
	vgroup "Cloud_Effective_Radius_16_PCL" class "Var0.0"
		attribute _FillValue = -9999
		attribute valid_range = 0, 10000
		attribute 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"
		attribute units = "micron"
		attribute scale_factor = 0.009999999776482582
		attribute add_offset = 0.0
		attribute Parameter_Type = "Output"
		attribute Cell_Along_Swath_Sampling = 4, 2039, 5
		attribute Cell_Across_Swath_Sampling = 3, 1353, 5
		attribute Geolocation_Pointer = "External MODIS geolocation product"
		vdata "" class "SDSVar": fields SDS variable; 0 records
	vgroup "Cloud_Effective_Radius_37" class "Var0.0"
		attribute _FillValue = -9999
		attribute valid_range = 0, 10000
		attribute 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"
		attribute units = "micron"
		attribute scale_factor = 0.009999999776482582
		attribute add_offset = 0.0
		attribute Parameter_Type = "Output"
		attribute Cell_Along_Swath_Sampling = 4, 2039, 5
		attribute Cell_Across_Swath_Sampling = 3, 1353, 5
		attribute Geolocation_Pointer = "External MODIS geolocation product"
		vdata "" class "SDSVar": fields SDS variable; 0 records
	vgroup "Cloud_Effective_Radius_37_PCL" class "Var0.0"
		attribute _FillValue = -9999
		attribute valid_range = 0, 10000
		attribute 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"
		attribute units = "micron"
		attribute scale_factor = 0.009999999776482582
		attribute add_offset = 0.0
		attribute Parameter_Type = "Output"
		attribute Cell_Along_Swath_Sampling = 4, 2039, 5
		attribute Cell_Across_Swath_Sampling = 3, 1353, 5
		attribute Geolocation_Pointer = "External MODIS geolocation product"
		vdata "" class "SDSVar": fields SDS variable; 0 records
	vgroup "Cloud_Effective_Radius_Uncertainty_16" class "Var0.0"
		attribute _FillValue = -9999
		attribute valid_range = 0, 20000
		attribute 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"
		attribute units = "percent"
		attribute scale_factor = 0.009999999776482582
		attribute add_offset = 0.0
		attribute Parameter_Type = "Output"
		attribute Cell_Along_Swath_Sampling = 4, 2039, 5
		attribute Cell_Across_Swath_Sampling = 3, 1353, 5
		attribute Geolocation_Pointer = "External MODIS geolocation product"
		vdata "" class "SDSVar": fields SDS variable; 0 records
	vgroup "Cloud_Effective_Radius_Uncertainty_37" class "Var0.0"
		attribute _FillValue = -9999
		attribute valid_range = 0, 20000
		attribute 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"
		attribute units = "percent"
		attribute scale_factor = 0.009999999776482582
		attribute add_offset = 0.0
		attribute Parameter_Type = "Output"
		attribute Cell_Along_Swath_Sampling = 4, 2039, 5
		attribute Cell_Across_Swath_Sampling = 3, 1353, 5
		attribute Geolocation_Pointer = "External MODIS geolocation product"
		vdata "" class "SDSVar": fields SDS variable; 0 records
	vgroup "Cloud_Water_Path_PCL" class "Var0.0"
		attribute _FillValue = -9999
		attribute valid_range = 0, 10000
		attribute 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"
		attribute units = "g/m^2"
		attribute scale_factor = 1.0
		attribute add_offset = 0.0
		attribute Parameter_Type = "Output"
		attribute Cell_Along_Swath_Sampling = 4, 2039, 5
		attribute Cell_Across_Swath_Sampling = 3, 1353, 5
		attribute Geolocation_Pointer = "External MODIS geolocation product"
		vdata "" class "SDSVar": fields SDS variable; 0 records
	vgroup "Cloud_Water_Path_16" class "Var0.0"
		attribute _FillValue = -9999
		attribute valid_range = 0, 10000
		attribute 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"
		attribute units = "g/m^2"
		attribute scale_factor = 1.0
		attribute add_offset = 0.0
		attribute Parameter_Type = "Output"
		attribute Cell_Along_Swath_Sampling = 4, 2039, 5
		attribute Cell_Across_Swath_Sampling = 3, 1353, 5
		attribute Geolocation_Pointer = "External MODIS geolocation product"
		vdata "" class "SDSVar": fields SDS variable; 0 records
	vgroup "Cloud_Water_Path_16_PCL" class "Var0.0"
		attribute _FillValue = -9999
		attribute valid_range = 0, 10000
		attribute 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"
		attribute units = "g/m^2"
		attribute scale_factor = 1.0
		attribute add_offset = 0.0
		attribute Parameter_Type = "Output"
		attribute Cell_Along_Swath_Sampling = 4, 2039, 5
		attribute Cell_Across_Swath_Sampling = 3, 1353, 5
		attribute Geolocation_Pointer = "External MODIS geolocation product"
		vdata "" class "SDSVar": fields SDS variable; 0 records
	vgroup "Cloud_Water_Path_37" class "Var0.0"
		attribute _FillValue = -9999
		attribute valid_range = 0, 10000
		attribute 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"
		attribute units = "g/m^2"
		attribute scale_factor = 1.0
		attribute add_offset = 0.0
		attribute Parameter_Type = "Output"
		attribute Cell_Along_Swath_Sampling = 4, 2039, 5
		attribute Cell_Across_Swath_Sampling = 3, 1353, 5
		attribute Geolocation_Pointer = "External MODIS geolocation product"
		vdata "" class "SDSVar": fields SDS variable; 0 records
	vgroup "Cloud_Water_Path_37_PCL" class "Var0.0"
		attribute _FillValue = -9999
		attribute valid_range = 0, 10000
		attribute 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"
		attribute units = "g/m^2"
		attribute scale_factor = 1.0
		attribute add_offset = 0.0
		attribute Parameter_Type = "Output"
		attribute Cell_Along_Swath_Sampling = 4, 2039, 5
		attribute Cell_Across_Swath_Sampling = 3, 1353, 5
		attribute Geolocation_Pointer = "External MODIS geolocation product"
		vdata "" class "SDSVar": fields SDS variable; 0 records
	vgroup "Cloud_Water_Path_Uncertainty_16" class "Var0.0"
		attribute _FillValue = -9999
		attribute valid_range = 0, 20000
		attribute 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"
		attribute units = "percent"
		attribute scale_factor = 0.009999999776482582
		attribute add_offset = 0.0
		attribute Parameter_Type = "Output"
		attribute Cell_Along_Swath_Sampling = 4, 2039, 5
		attribute Cell_Across_Swath_Sampling = 3, 1353, 5
		attribute Geolocation_Pointer = "External MODIS geolocation product"
		vdata "" class "SDSVar": fields SDS variable; 0 records
	vgroup "Cloud_Water_Path_Uncertainty_37" class "Var0.0"
		attribute _FillValue = -9999
		attribute valid_range = 0, 20000
		attribute 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"
		attribute units = "percent"
		attribute scale_factor = 0.009999999776482582
		attribute add_offset = 0.0
		attribute Parameter_Type = "Output"
		attribute Cell_Along_Swath_Sampling = 4, 2039, 5
		attribute Cell_Across_Swath_Sampling = 3, 1353, 5
		attribute Geolocation_Pointer = "External MODIS geolocation product"
		vdata "" class "SDSVar": fields SDS variable; 0 records
	vgroup "Cloud_Top_Pressure_1km" class "Var0.0"
		attribute _FillValue = -999
		attribute valid_range = 10, 11000
		attribute long_name = "Cloud Top Pressure at 1-km resolution from LEOCAT, Cloud Top Pressure Level rounded to nearest 5 mb"
		attribute units = "hPa"
		attribute scale_factor = 0.10000000149011612
		attribute add_offset = 0.0
		attribute Parameter_Type = "Output"
		attribute Cell_Along_Swath_Sampling = 4, 2039, 5
		attribute Cell_Across_Swath_Sampling = 3, 1353, 5
		attribute Geolocation_Pointer = "External MODIS geolocation product"
		vdata "" class "SDSVar": fields SDS variable; 0 records
	vgroup "Cloud_Top_Temperature_1km" class "Var0.0"
		attribute _FillValue = -999
		attribute valid_range = 0, 20000
		attribute long_name = "Cloud Top Temperature at 1-km resolution from LEOCAT, Temperature from Ancillary Data at Retrieved Cloud Top Pressure Level"
		attribute units = "K"
		attribute scale_factor = 0.009999999776482582
		attribute add_offset = -15000.0
		attribute Parameter_Type = "Output"
		attribute Cell_Along_Swath_Sampling = 4, 2039, 5
		attribute Cell_Across_Swath_Sampling = 3, 1353, 5
		attribute Geolocation_Pointer = "External MODIS geolocation product"
		vdata "" class "SDSVar": fields SDS variable; 0 records
	vgroup "Cloud_Top_Height_1km" class "Var0.0"
		attribute _FillValue = -999
		attribute valid_range = 0, 18000
		attribute long_name = "Cloud Top Height at 1-km resolution from LEOCAT, Geopotential Height at Retrieved Cloud Top Pressure Level rounded to nearest 50 m"
		attribute units = "meters"
		attribute scale_factor = 1.0
		attribute add_offset = 0.0
		attribute Parameter_Type = "Output"
		attribute Cell_Along_Swath_Sampling = 4, 2039, 5
		attribute Cell_Across_Swath_Sampling = 3, 1353, 5
		attribute Geolocation_Pointer = "External MODIS geolocation product"
		vdata "" class "SDSVar": fields SDS variable; 0 records
	vgroup "Surface_Temperature_1km" class "Var0.0"
		attribute _FillValue = -999
		attribute valid_range = 0, 20000
		attribute long_name = "Surface Temperature for Each 1-km MODIS Pixel Interplated from Ancillary Data"
		attribute units = "K"
		attribute scale_factor = 0.009999999776482582
		attribute add_offset = -15000.0
		attribute Parameter_Type = "Non MODIS Input"
		attribute Cell_Along_Swath_Sampling = 4, 2039, 5
		attribute Cell_Across_Swath_Sampling = 3, 1353, 5
		attribute Geolocation_Pointer = "External MODIS geolocation product"
		vdata "" class "SDSVar": fields SDS variable; 0 records
	vgroup "OS_Top_Flag_1km" class "Var0.0"
		attribute _FillValue = 127
		attribute valid_range = 0, 2
		attribute long_name = "Upper Tropospheric/Lower Stratospheric (UTLS) Cloud Flag at 1-km  resolution - valid from -50 to +50 Degrees Latitude"
		attribute units = "none"
		attribute scale_factor = 1.0
		attribute add_offset = 0.0
		attribute Parameter_Type = "Output"
		attribute Cell_Along_Swath_Sampling = 4, 2039, 5
		attribute Cell_Across_Swath_Sampling = 3, 1353, 5
		attribute Geolocation_Pointer = "External geolocation arrays"
		attribute description = (text block)
| \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)
		vdata "" class "SDSVar": fields SDS variable; 0 records
	vgroup "Cloud_Mask_SPI" class "Var0.0"
		attribute _FillValue = -9999
		attribute valid_range = 0, 20000
		attribute long_name = "Dispersion in bands 1 (plane 1) and 2 (plane 2) from 250m reflectance  statistics of cloud mask"
		attribute units = "percent"
		attribute scale_factor = 0.009999999776482582
		attribute add_offset = 0.0
		attribute Parameter_Type = "Output"
		attribute Cell_Along_Swath_Sampling = 4, 2039, 5
		attribute Cell_Across_Swath_Sampling = 3, 1353, 5
		attribute Geolocation_Pointer = "External MODIS geolocation product"
		vdata "" class "SDSVar": fields SDS variable; 0 records
	vgroup "Cloud_Multi_Layer_Flag" class "Var0.0"
		attribute _FillValue = 0
		attribute valid_range = 0, 9
		attribute long_name = "Cloud Multi Layer Identification From MODIS Shortwave Observations"
		attribute units = "none"
		attribute scale_factor = 1.0
		attribute add_offset = 0.0
		attribute Parameter_Type = "Output"
		attribute Cell_Along_Swath_Sampling = 4, 2039, 5
		attribute Cell_Across_Swath_Sampling = 3, 1353, 5
		attribute Geolocation_Pointer = "External MODIS geolocation product"
		attribute description = (text block)
| \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.
		vdata "" class "SDSVar": fields SDS variable; 0 records
	vgroup "Cloud_Phase_Infrared_1km" class "Var0.0"
		attribute _FillValue = 127
		attribute valid_range = 0, 6
		attribute 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)"
		attribute units = "none"
		attribute scale_factor = 1.0
		attribute add_offset = 0.0
		attribute Parameter_Type = "Output"
		attribute Cell_Along_Swath_Sampling = 4, 2039, 5
		attribute Cell_Across_Swath_Sampling = 3, 1353, 5
		attribute Geolocation_Pointer = "External geolocation arrays"
		attribute description = (text block)
| \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
		vdata "" class "SDSVar": fields SDS variable; 0 records
	vgroup "Cloud_Top_Height" class "Var0.0"
		attribute _FillValue = -32767
		attribute valid_range = 0, 18000
		attribute long_name = "Geopotential Height at Retrieved Cloud Top Pressure Level (rounded to nearest 50 m)"
		attribute units = "meters"
		attribute scale_factor = 1.0
		attribute add_offset = 0.0
		attribute Parameter_Type = "Output"
		attribute Cell_Along_Swath_Sampling = 3, 2038, 5
		attribute Cell_Across_Swath_Sampling = 3, 1348, 5
		attribute Geolocation_Pointer = "Internal geolocation arrays"
		vdata "" class "SDSVar": fields SDS variable; 0 records
	vgroup "Cloud_Height_Method" class "Var0.0"
		attribute _FillValue = 127
		attribute valid_range = 1, 6
		attribute long_name = "Index Indicating MODIS Bands Used for Cloud Top Pressure Retrieval"
		attribute units = "none"
		attribute scale_factor = 1.0
		attribute add_offset = 0.0
		attribute Parameter_Type = "Output"
		attribute Cell_Along_Swath_Sampling = 3, 2038, 5
		attribute Cell_Across_Swath_Sampling = 3, 1348, 5
		attribute Geolocation_Pointer = "Internal geolocation arrays"
		attribute description = (text block)
| \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
		vdata "" class "SDSVar": fields SDS variable; 0 records
	vgroup "Infrared_obs_minus_calc" class "Var0.0"
		attribute _FillValue = -32768
		attribute valid_range = -2000, 2000
		attribute long_name = "Spectral Cloud Forcing (cloud minus clear radiance)"
		attribute units = "Watts/meter2/steradian/micron"
		attribute scale_factor = 0.009999999776482582
		attribute add_offset = 0.0
		attribute Parameter_Type = "Output"
		attribute Cell_Along_Swath_Sampling = 3, 2038, 5
		attribute Cell_Across_Swath_Sampling = 3, 1348, 5
		attribute Geolocation_Pointer = "Internal geolocation arrays"
		attribute description = (text block)
| \n
| 
|  Spectral cloud forcing, cloudy-clear radiance, each channel in order:
|  36, 35, 34, 33 and 31 for Band_Forcing dimension reference
		vdata "" class "SDSVar": fields SDS variable; 0 records
	vgroup "Cloud_Optical_Thickness_1621_PCL" class "Var0.0"
		attribute _FillValue = -9999
		attribute valid_range = 0, 10000
		attribute 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"
		attribute units = "none"
		attribute scale_factor = 0.009999999776482582
		attribute add_offset = 0.0
		attribute Parameter_Type = "Output"
		attribute Cell_Along_Swath_Sampling = 4, 2039, 5
		attribute Cell_Across_Swath_Sampling = 3, 1353, 5
		attribute Geolocation_Pointer = "External MODIS geolocation product"
		vdata "" class "SDSVar": fields SDS variable; 0 records
	vgroup "Cloud_Effective_Radius_1621_PCL" class "Var0.0"
		attribute _FillValue = -9999
		attribute valid_range = 0, 10000
		attribute 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"
		attribute units = "micron"
		attribute scale_factor = 0.009999999776482582
		attribute add_offset = 0.0
		attribute Parameter_Type = "Output"
		attribute Cell_Along_Swath_Sampling = 4, 2039, 5
		attribute Cell_Across_Swath_Sampling = 3, 1353, 5
		attribute Geolocation_Pointer = "External MODIS geolocation product"
		vdata "" class "SDSVar": fields SDS variable; 0 records
	vgroup "Cloud_Water_Path_1621_PCL" class "Var0.0"
		attribute _FillValue = -9999
		attribute valid_range = 0, 10000
		attribute 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"
		attribute units = "g/m^2"
		attribute scale_factor = 1.0
		attribute add_offset = 0.0
		attribute Parameter_Type = "Output"
		attribute Cell_Along_Swath_Sampling = 4, 2039, 5
		attribute Cell_Across_Swath_Sampling = 3, 1353, 5
		attribute Geolocation_Pointer = "External MODIS geolocation product"
		vdata "" class "SDSVar": fields SDS variable; 0 records
	vgroup "Retrieval_Failure_Metric" class "Var0.0"
		attribute _FillValue = -9999
		attribute valid_range = 0, 20000
		attribute 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)"
		attribute units = "by plane in order: 1-none, 2-micron, 3-percent"
		attribute scale_factor = 0.009999999776482582
		attribute add_offset = 0.0
		attribute Parameter_Type = "Output"
		attribute Cell_Along_Swath_Sampling = 4, 2039, 5
		attribute Cell_Across_Swath_Sampling = 3, 1353, 5
		attribute Geolocation_Pointer = "External MODIS geolocation product"
		attribute description = (text block)
| \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
		vdata "" class "SDSVar": fields SDS variable; 0 records
	vgroup "Retrieval_Failure_Metric_16" class "Var0.0"
		attribute _FillValue = -9999
		attribute valid_range = 0, 20000
		attribute 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)"
		attribute units = "by plane in order: 1-none, 2-micron, 3-percent"
		attribute scale_factor = 0.009999999776482582
		attribute add_offset = 0.0
		attribute Parameter_Type = "Output"
		attribute Cell_Along_Swath_Sampling = 4, 2039, 5
		attribute Cell_Across_Swath_Sampling = 3, 1353, 5
		attribute Geolocation_Pointer = "External MODIS geolocation product"
		attribute description = (text block)
| \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
		vdata "" class "SDSVar": fields SDS variable; 0 records
	vgroup "Retrieval_Failure_Metric_37" class "Var0.0"
		attribute _FillValue = -9999
		attribute valid_range = 0, 20000
		attribute 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)"
		attribute units = "by plane in order: 1-none, 2-micron, 3-percent"
		attribute scale_factor = 0.009999999776482582
		attribute add_offset = 0.0
		attribute Parameter_Type = "Output"
		attribute Cell_Along_Swath_Sampling = 4, 2039, 5
		attribute Cell_Across_Swath_Sampling = 3, 1353, 5
		attribute Geolocation_Pointer = "External MODIS geolocation product"
		attribute description = (text block)
| \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
		vdata "" class "SDSVar": fields SDS variable; 0 records
	vgroup "Retrieval_Failure_Metric_1621" class "Var0.0"
		attribute _FillValue = -9999
		attribute valid_range = 0, 20000
		attribute long_name = "Retrievals and other information for points that failed to retrievevia standard solution logic for retrieval using band 6 and band 7"
		attribute units = "by plane in order: 1-none, 2-micron, 3-percent"
		attribute scale_factor = 0.009999999776482582
		attribute add_offset = 0.0
		attribute Parameter_Type = "Output"
		attribute Cell_Along_Swath_Sampling = 4, 2039, 5
		attribute Cell_Across_Swath_Sampling = 3, 1353, 5
		attribute Geolocation_Pointer = "External MODIS geolocation product"
		attribute description = (text block)
| \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
		vdata "" class "SDSVar": fields SDS variable; 0 records
	attribute HDFEOSVersion = "HDFEOS_V2.19"
	attribute StructMetadata.0 = (text block)
| GROUP=SwathStructure
| 	GROUP=SWATH_1
| 		SwathName="atml2"
| 		GROUP=Dimension
| 			OBJECT=Dimension_1
| 				DimensionName="Cell_Along_Swath_5km"
| 				Size=408
| 			END_OBJECT=Dimension_1
| 			OBJECT=Dimension_2
| 				DimensionName="Cell_Across_Swath_5km"
| 				Size=271
| 			END_OBJECT=Dimension_2
| 			OBJECT=Dimension_3
| 				DimensionName="QA_Parameter_5km"
| 				Size=9
| 			END_OBJECT=Dimension_3
| 			OBJECT=Dimension_4
| 				DimensionName="Byte_Segment"
| 				Size=1
| 			END_OBJECT=Dimension_4
| 			OBJECT=Dimension_5
| 				DimensionName="SPI_nband"
| 				Size=2
| 			END_OBJECT=Dimension_5
| 			OBJECT=Dimension_6
| 				DimensionName="Band_Forcing"
| 				Size=5
| 			END_OBJECT=Dimension_6
| 			OBJECT=Dimension_7
| 				DimensionName="RFM_nband"
| 				Size=3
| 			END_OBJECT=Dimension_7
| 		END_GROUP=Dimension
| 		GROUP=DimensionMap
| 		END_GROUP=DimensionMap
| 		GROUP=IndexDimensionMap
| 		END_GROUP=IndexDimensionMap
| 		GROUP=GeoField
| 			OBJECT=GeoField_1
| 				GeoFieldName="Latitude"
| 				DataType=DFNT_FLOAT32
| 				DimList=("Cell_Along_Swath_5km","Cell_Across_Swath_5km")
| 			END_OBJECT=GeoField_1
| 			OBJECT=GeoField_2
| 				GeoFieldName="Longitude"
| 				DataType=DFNT_FLOAT32
| 				DimList=("Cell_Along_Swath_5km","Cell_Across_Swath_5km")
| 			END_OBJECT=GeoField_2
| 		END_GROUP=GeoField
| 		GROUP=DataField
| 			OBJECT=DataField_1
| 				DataFieldName="Cloud_Optical_Thickness"
| 				DataType=DFNT_INT16
| 				DimList=("Cell_Along_Swath_5km","Cell_Across_Swath_5km")
| 			END_OBJECT=DataField_1
| 			OBJECT=DataField_2
| 				DataFieldName="Cloud_Effective_Radius"
| 				DataType=DFNT_INT16
| 				DimList=("Cell_Along_Swath_5km","Cell_Across_Swath_5km")
| 			END_OBJECT=DataField_2
| 			OBJECT=DataField_3
| 				DataFieldName="Cloud_Water_Path"
| 				DataType=DFNT_INT16
| 				DimList=("Cell_Along_Swath_5km","Cell_Across_Swath_5km")
| 			END_OBJECT=DataField_3
| 			OBJECT=DataField_4
| 				DataFieldName="Cloud_Optical_Thickness_1621"
| 				DataType=DFNT_INT16
| 				DimList=("Cell_Along_Swath_5km","Cell_Across_Swath_5km")
| 			END_OBJECT=DataField_4
| 			OBJECT=DataField_5
| 				DataFieldName="Cloud_Effective_Radius_1621"
| 				DataType=DFNT_INT16
| 				DimList=("Cell_Along_Swath_5km","Cell_Across_Swath_5km")
| 			END_OBJECT=DataField_5
| 			OBJECT=DataField_6
| 				DataFieldName="Cloud_Water_Path_1621"
| 				DataType=DFNT_INT16
| 				DimList=("Cell_Along_Swath_5km","Cell_Across_Swath_5km")
| 			END_OBJECT=DataField_6
| 			OBJECT=DataField_7
| 				DataFieldName="Cloud_Optical_Thickness_Uncertainty"
| 				DataType=DFNT_INT16
| 				DimList=("Cell_Along_Swath_5km","Cell_Across_Swath_5km")
| 			END_OBJECT=DataField_7
| 			OBJECT=DataField_8
| 				DataFieldName="Cloud_Effective_Radius_Uncertainty"
| 				DataType=DFNT_INT16
| 				DimList=("Cell_Along_Swath_5km","Cell_Across_Swath_5km")
| 			END_OBJECT=DataField_8
| 			OBJECT=DataField_9
| 				DataFieldName="Cloud_Water_Path_Uncertainty"
| 				DataType=DFNT_INT16
| 				DimList=("Cell_Along_Swath_5km","Cell_Across_Swath_5km")
| 			END_OBJECT=DataField_9
| 			OBJECT=DataField_10
| 				DataFieldName="Cloud_Optical_Thickness_Uncertainty_1621"
| 				DataType=DFNT_INT16
| 				DimList=("Cell_Along_Swath_5km","Cell_Across_Swath_5km")
| 			END_OBJECT=DataField_10
| 			OBJECT=DataField_11
| 				DataFieldName="Cloud_Effective_Radius_Uncertainty_1621"
| 				DataType=DFNT_INT16
| 				DimList=("Cell_Along_Swath_5km","Cell_Across_Swath_5km")
| 			END_OBJECT=DataField_11
| 			OBJECT=DataField_12
| 				DataFieldName="Cloud_Water_Path_Uncertainty_1621"
| 				DataType=DFNT_INT16
| 				DimList=("Cell_Along_Swath_5km","Cell_Across_Swath_5km")
| 			END_OBJECT=DataField_12
| 			OBJECT=DataField_13
| 				DataFieldName="Cloud_Phase_Optical_Properties"
| 				DataType=DFNT_INT8
| 				DimList=("Cell_Along_Swath_5km","Cell_Across_Swath_5km")
| 			END_OBJECT=DataField_13
| 			OBJECT=DataField_14
| 				DataFieldName="Cloud_Phase_Infrared"
| 				DataType=DFNT_INT8
| 				DimList=("Cell_Along_Swath_5km","Cell_Across_Swath_5km")
| 			END_OBJECT=DataField_14
| 			OBJECT=DataField_15
| 				DataFieldName="Cloud_Quality_Assurance"
| 				DataType=DFNT_INT8
| 				DimList=("Cell_Along_Swath_5km","Cell_Across_Swath_5km","QA_Parameter_5km")
| 			END_OBJECT=DataField_15
| 			OBJECT=DataField_16
| 				DataFieldName="Cirrus_Reflectance"
| 				DataType=DFNT_INT16
| 				DimList=("Cell_Along_Swath_5km","Cell_Across_Swath_5km")
| 			END_OBJECT=DataField_16
| 			OBJECT=DataField_17
| 				DataFieldName="Cloud_Top_Pressure"
| 				DataType=DFNT_INT16
| 				DimList=("Cell_Along_Swath_5km","Cell_Across_Swath_5km")
| 			END_OBJECT=DataField_17
| 			OBJECT=DataField_18
| 				DataFieldName="Cloud_Top_Temperature"
| 				DataType=DFNT_INT16
| 				DimList=("Cell_Along_Swath_5km","Cell_Across_Swath_5km")
| 			END_OBJECT=DataField_18
| 			OBJECT=DataField_19
| 				DataFieldName="Cloud_Fraction"
| 				DataType=DFNT_INT8
| 				DimList=("Cell_Along_Swath_5km","Cell_Across_Swath_5km")
| 			END_OBJECT=DataField_19
| 			OBJECT=DataField_20
| 				DataFieldName="Precipitable_Water_Infrared_ClearSky"
| 				DataType=DFNT_INT16
| 				DimList=("Cell_Along_Swath_5km","Cell_Across_Swath_5km")
| 			END_OBJECT=DataField_20
| 			OBJECT=DataField_21
| 				DataFieldName="Cloud_Mask"
| 				DataType=DFNT_INT8
| 				DimList=("Byte_Segment","Cell_Along_Swath_5km","Cell_Across_Swath_5km")
| 			END_OBJECT=DataField_21
| 			OBJECT=DataField_22
| 				DataFieldName="Total_Ozone"
| 				DataType=DFNT_INT16
| 				DimList=("Cell_Along_Swath_5km","Cell_Across_Swath_5km")
| 			END_OBJECT=DataField_22
| 			OBJECT=DataField_23
| 				DataFieldName="Lifted_Index"
| 				DataType=DFNT_INT16
| 				DimList=("Cell_Along_Swath_5km","Cell_Across_Swath_5km")
| 			END_OBJECT=DataField_23
| 			OBJECT=DataField_24
| 				DataFieldName="K_Index"
| 				DataType=DFNT_INT16
| 				DimList=("Cell_Along_Swath_5km","Cell_Across_Swath_5km")
| 			END_OBJECT=DataField_24
| 			OBJECT=DataField_25
| 				DataFieldName="Total_Totals_Index"
| 				DataType=DFNT_INT16
| 				DimList=("Cell_Along_Swath_5km","Cell_Across_Swath_5km")
| 			END_OBJECT=DataField_25
| 			OBJECT=DataField_26
| 				DataFieldName="Precipitable_Water_Near_Infrared_ClearSky"
| 				DataType=DFNT_INT16
| 				DimList=("Cell_Along_Swath_5km","Cell_Across_Swath_5km")
| 			END_OBJECT=DataField_26
| 			OBJECT=DataField_27
| 				DataFieldName="Cloud_Optical_Thickness_PCL"
| 				DataType=DFNT_INT16
| 				DimList=("Cell_Along_Swath_5km","Cell_Across_Swath_5km")
| 			END_OBJECT=DataField_27
| 			OBJECT=DataField_28
| 				DataFieldName="Cloud_Optical_Thickness_16"
| 				DataType=DFNT_INT16
| 				DimList=("Cell_Along_Swath_5km","Cell_Across_Swath_5km")
| 			END_OBJECT=DataField_28
| 			OBJECT=DataField_29
| 				DataFieldName="Cloud_Optical_Thickness_16_PCL"
| 				DataType=DFNT_INT16
| 				DimList=("Cell_Along_Swath_5km","Cell_Across_Swath_5km")
| 			END_OBJECT=DataField_29
| 			OBJECT=DataField_30
| 				DataFieldName="Cloud_Optical_Thickness_37"
| 				DataType=DFNT_INT16
| 				DimList=("Cell_Along_Swath_5km","Cell_Across_Swath_5km")
| 			END_OBJECT=DataField_30
| 			OBJECT=DataField_31
| 				DataFieldName="Cloud_Optical_Thickness_37_PCL"
| 				DataType=DFNT_INT16
| 				DimList=("Cell_Along_Swath_5km","Cell_Across_Swath_5km")
| 			END_OBJECT=DataField_31
| 			OBJECT=DataField_32
| 				DataFieldName="Cloud_Optical_Thickness_Uncertainty_16"
| 				DataType=DFNT_INT16
| 				DimList=("Cell_Along_Swath_5km","Cell_Across_Swath_5km")
| 			END_OBJECT=DataField_32
| 			OBJECT=DataField_33
| 				DataFieldName="Cloud_Optical_Thickness_Uncertainty_37"
| 				DataType=DFNT_INT16
| 				DimList=("Cell_Along_Swath_5km","Cell_Across_Swath_5km")
| 			END_OBJECT=DataField_33
| 			OBJECT=DataField_34
| 				DataFieldName="Cloud_Effective_Radius_PCL"
| 				DataType=DFNT_INT16
| 				DimList=("Cell_Along_Swath_5km","Cell_Across_Swath_5km")
| 			END_OBJECT=DataField_34
| 			OBJECT=DataField_35
| 				DataFieldName="Cloud_Effective_Radius_16"
| 				DataType=DFNT_INT16
| 				DimList=("Cell_Along_Swath_5km","Cell_Across_Swath_5km")
| 			END_OBJECT=DataField_35
| 			OBJECT=DataField_36
| 				DataFieldName="Cloud_Effective_Radius_16_PCL"
| 				DataType=DFNT_INT16
| 				DimList=("Cell_Along_Swath_5km","Cell_Across_Swath_5km")
| 			END_OBJECT=DataField_36
| 			OBJECT=DataField_37
| 				DataFieldName="Cloud_Effective_Radius_37"
| 				DataType=DFNT_INT16
| 				DimList=("Cell_Along_Swath_5km","Cell_Across_Swath_5km")
| 			END_OBJECT=DataField_37
| 			OBJECT=DataField_38
| 				DataFieldName="Cloud_Effective_Radius_37_PCL"
| 				DataType=DFNT_INT16
| 				DimList=("Cell_Along_Swath_5km","Cell_Across_Swath_5km")
| 			END_OBJECT=DataField_38
| 			OBJECT=DataField_39
| 				DataFieldName="Cloud_Effective_Radius_Uncertainty_16"
| 				DataType=DFNT_INT16
| 				DimList=("Cell_Along_Swath_5km","Cell_Across_Swath_5km")
| 			END_OBJECT=DataField_39
| 			OBJECT=DataField_40
| 				DataFieldName="Cloud_Effective_Radius_Uncertainty_37"
| 				DataType=DFNT_INT16
| 				DimList=("Cell_Along_Swath_5km","Cell_Across_Swath_5km")
| 			END_OBJECT=DataField_40
| 			OBJECT=DataField_41
| 				DataFieldName="Cloud_Water_Path_PCL"
| 				DataType=DFNT_INT16
| 				DimList=("Cell_Along_Swath_5km","Cell_Across_Swath_5km")
| 			END_OBJECT=DataField_41
| 			OBJECT=DataField_42
| 				DataFieldName="Cloud_Water_Path_16"
| 				DataType=DFNT_INT16
| 				DimList=("Cell_Along_Swath_5km","Cell_Across_Swath_5km")
| 			END_OBJECT=DataField_42
| 			OBJECT=DataField_43
| 				DataFieldName="Cloud_Water_Path_16_PCL"
| 				DataType=DFNT_INT16
| 				DimList=("Cell_Along_Swath_5km","Cell_Across_Swath_5km")
| 			END_OBJECT=DataField_43
| 			OBJECT=DataField_44
| 				DataFieldName="Cloud_Water_Path_37"
| 				DataType=DFNT_INT16
| 				DimList=("Cell_Along_Swath_5km","Cell_Across_Swath_5km")
| 			END_OBJECT=DataField_44
| 			OBJECT=DataField_45
| 				DataFieldName="Cloud_Water_Path_37_PCL"
| 				DataType=DFNT_INT16
| 				DimList=("Cell_Along_Swath_5km","Cell_Across_Swath_5km")
| 			END_OBJECT=DataField_45
| 			OBJECT=DataField_46
| 				DataFieldName="Cloud_Water_Path_Uncertainty_16"
| 				DataType=DFNT_INT16
| 				DimList=("Cell_Along_Swath_5km","Cell_Across_Swath_5km")
| 			END_OBJECT=DataField_46
| 			OBJECT=DataField_47
| 				DataFieldName="Cloud_Water_Path_Uncertainty_37"
| 				DataType=DFNT_INT16
| 				DimList=("Cell_Along_Swath_5km","Cell_Across_Swath_5km")
| 			END_OBJECT=DataField_47
| 			OBJECT=DataField_48
| 				DataFieldName="Cloud_Top_Pressure_1km"
| 				DataType=DFNT_INT16
| 				DimList=("Cell_Along_Swath_5km","Cell_Across_Swath_5km")
| 			END_OBJECT=DataField_48
| 			OBJECT=DataField_49
| 				DataFieldName="Cloud_Top_Temperature_1km"
| 				DataType=DFNT_INT16
| 				DimList=("Cell_Along_Swath_5km","Cell_Across_Swath_5km")
| 			END_OBJECT=DataField_49
| 			OBJECT=DataField_50
| 				DataFieldName="Cloud_Top_Height_1km"
| 				DataType=DFNT_INT16
| 				DimList=("Cell_Along_Swath_5km","Cell_Across_Swath_5km")
| 			END_OBJECT=DataField_50
| 			OBJECT=DataField_51
| 				DataFieldName="Surface_Temperature_1km"
| 				DataType=DFNT_INT16
| 				DimList=("Cell_Along_Swath_5km","Cell_Across_Swath_5km")
| 			END_OBJECT=DataField_51
| 			OBJECT=DataField_52
| 				DataFieldName="OS_Top_Flag_1km"
| 				DataType=DFNT_INT8
| 				DimList=("Cell_Along_Swath_5km","Cell_Across_Swath_5km")
| 			END_OBJECT=DataField_52
| 			OBJECT=DataField_53
| 				DataFieldName="Cloud_Mask_SPI"
| 				DataType=DFNT_INT16
| 				DimList=("Cell_Along_Swath_5km","Cell_Across_Swath_5km","SPI_nband")
| 			END_OBJECT=DataField_53
| 			OBJECT=DataField_54
| 				DataFieldName="Cloud_Multi_Layer_Flag"
| 				DataType=DFNT_INT8
| 				DimList=("Cell_Along_Swath_5km","Cell_Across_Swath_5km")
| 			END_OBJECT=DataField_54
| 			OBJECT=DataField_55
| 				DataFieldName="Cloud_Phase_Infrared_1km"
| 				DataType=DFNT_INT8
| 				DimList=("Cell_Along_Swath_5km","Cell_Across_Swath_5km")
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| 	END_GROUP=SWATH_1
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	attribute ArchiveMetadata.0 = (text block)
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|   OBJECT                 = LONGNAME
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|   OBJECT                 = INSTRUMENTNAME
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| END
	attribute identifier_product_doi = "10.5067/MODIS/MYDATML2.061"
	attribute identifier_product_doi_authority = "http://dx.doi.org"
attribute _FV_Cloud_Optical_Thickness = -9999
attribute _FV_Cloud_Effective_Radius = -9999
attribute _FV_Cloud_Water_Path = -9999
attribute _FV_Cloud_Optical_Thickness_1621 = -9999
attribute _FV_Cloud_Effective_Radius_1621 = -9999
attribute _FV_Cloud_Water_Path_1621 = -9999
attribute _FV_Cloud_Optical_Thickness_Uncertainty = -9999
attribute _FV_Cloud_Effective_Radius_Uncertainty = -9999
attribute _FV_Cloud_Water_Path_Uncertainty = -9999
attribute _FV_Cloud_Optical_Thickness_Uncertainty_1621 = -9999
attribute _FV_Cloud_Effective_Radius_Uncertainty_1621 = -9999
attribute _FV_Cloud_Water_Path_Uncertainty_1621 = -9999
attribute _FV_Cloud_Phase_Optical_Properties = 0
attribute _FV_Cloud_Phase_Infrared = 127
attribute _FV_Cloud_Quality_Assurance = 0
attribute _FV_Cirrus_Reflectance = -9999
attribute _FV_Cloud_Top_Pressure = -32768
attribute _FV_Cloud_Top_Temperature = -32768
attribute _FV_Cloud_Fraction = 127
attribute _FV_Precipitable_Water_Infrared_ClearSky = -9999
attribute _FV_Cloud_Mask = 0
attribute _FV_Latitude = -999.0
attribute _FV_Longitude = -999.0
attribute _FV_Total_Ozone = -32768
attribute _FV_Lifted_Index = -32768
attribute _FV_K_Index = -32768
attribute _FV_Total_Totals_Index = -32768
attribute _FV_Precipitable_Water_Near_Infrared_ClearSky = -9999
attribute _FV_Cloud_Optical_Thickness_PCL = -9999
attribute _FV_Cloud_Optical_Thickness_16 = -9999
attribute _FV_Cloud_Optical_Thickness_16_PCL = -9999
attribute _FV_Cloud_Optical_Thickness_37 = -9999
attribute _FV_Cloud_Optical_Thickness_37_PCL = -9999
attribute _FV_Cloud_Optical_Thickness_Uncertainty_16 = -9999
attribute _FV_Cloud_Optical_Thickness_Uncertainty_37 = -9999
attribute _FV_Cloud_Effective_Radius_PCL = -9999
attribute _FV_Cloud_Effective_Radius_16 = -9999
attribute _FV_Cloud_Effective_Radius_16_PCL = -9999
attribute _FV_Cloud_Effective_Radius_37 = -9999
attribute _FV_Cloud_Effective_Radius_37_PCL = -9999
attribute _FV_Cloud_Effective_Radius_Uncertainty_16 = -9999
attribute _FV_Cloud_Effective_Radius_Uncertainty_37 = -9999
attribute _FV_Cloud_Water_Path_PCL = -9999
attribute _FV_Cloud_Water_Path_16 = -9999
attribute _FV_Cloud_Water_Path_16_PCL = -9999
attribute _FV_Cloud_Water_Path_37 = -9999
attribute _FV_Cloud_Water_Path_37_PCL = -9999
attribute _FV_Cloud_Water_Path_Uncertainty_16 = -9999
attribute _FV_Cloud_Water_Path_Uncertainty_37 = -9999
attribute _FV_Cloud_Top_Pressure_1km = -999
attribute _FV_Cloud_Top_Temperature_1km = -999
attribute _FV_Cloud_Top_Height_1km = -999
attribute _FV_Surface_Temperature_1km = -999
attribute _FV_OS_Top_Flag_1km = 127
attribute _FV_Cloud_Mask_SPI = -9999
attribute _FV_Cloud_Multi_Layer_Flag = 0
attribute _FV_Cloud_Phase_Infrared_1km = 127
attribute _FV_Cloud_Top_Height = -32767
attribute _FV_Cloud_Height_Method = 127
attribute _FV_Infrared_obs_minus_calc = -32768
attribute _FV_Cloud_Optical_Thickness_1621_PCL = -9999
attribute _FV_Cloud_Effective_Radius_1621_PCL = -9999
attribute _FV_Cloud_Water_Path_1621_PCL = -9999
attribute _FV_Retrieval_Failure_Metric = -9999
attribute _FV_Retrieval_Failure_Metric_16 = -9999
attribute _FV_Retrieval_Failure_Metric_37 = -9999
attribute _FV_Retrieval_Failure_Metric_1621 = -9999