HDF5 file, superblock version 2
group /
	attribute Conventions = "CF-1.7"
	attribute Metadata_Conventions = "Unidata Dataset Discovery v1.0"
	attribute cdm_data_type = "Image"
	attribute dataset_name = "OR_ABI-L2-ADPM1-M6_G16_s20241380320279_e20241380320337_c20241380321249.nc"
	attribute date_created = "2024-05-17T03:21:24.9Z"
	attribute id = "7597935e-8f80-4122-a4e7-12e0f6fce036"
	attribute institution = "DOC/NOAA/NESDIS > U.S. Department of Commerce, National Oceanic and Atmospheric Administration, National Environmental Satellite, Data, and Information Services"
	attribute instrument_ID = "FM1"
	attribute instrument_type = "GOES-R Series Advanced Baseline Imager (ABI)"
	attribute iso_series_metadata_id = "258cad90-af4b-11e1-afa6-0800200c9a66"
	attribute keywords = "ATMOSPHERE > AEROSOLS > DUST/SMOKE"
	attribute keywords_vocabulary = "NASA Global Change Master Directory (GCMD) Earth Science Keywords, Version 7.0.0.0.0"
	attribute license = "Unclassified data.  Access is restricted to approved users only."
	attribute naming_authority = "gov.nesdis.noaa"
	attribute orbital_slot = "GOES-East"
	attribute platform_ID = "G16"
	attribute processing_level = "National Aeronautics and Space Administration (NASA) L2"
	attribute production_data_source = "Realtime"
	attribute production_environment = "OE"
	attribute production_site = "NSOF"
	attribute project = "GOES"
	attribute scene_id = "Mesoscale"
	attribute spatial_resolution = "2.0km at nadir"
	attribute standard_name_vocabulary = "CF Standard Name Table (v35, 20 July 2016)"
	attribute summary = "The Aerosol Detection product consists of two flags for each pixel in the image indicating the presence of dust or smoke. The flags are generated based on the results of threshold tests applied to reflectances at ABI reflective bands with central wavelengths 0.47, 0.64, 0.87, 1.38, 1.61, and 2.25 um, and brightness temperatures at ABI emissive bands with central wavelengths 3.89, 10.33, 11.19, and 12.27 um. Product data is generated during the day."
	attribute time_coverage_end = "2024-05-17T03:20:33.7Z"
	attribute time_coverage_start = "2024-05-17T03:20:27.9Z"
	attribute timeline_id = "ABI Mode 6"
	attribute title = "ABI L2 Aerosol Detection Product"
dataset /Cloud: int8, shape (500, 500)
	attribute _FillValue = -128
	attribute ancillary_variables = "DQF"
	attribute cell_methods = "retrieval_local_zenith_angle: point (good or degraded quality pixel produced) quantitative_local_zenith_angle: point (good quality pixel produced) retrieval_solar_zenith_angle: point (good or degraded quality pixel produced) quantitative_solar_zenith_angle: point (good quality pixel produced) t: point area: point"
	attribute coordinates = "retrieval_local_zenith_angle quantitative_local_zenith_angle retrieval_solar_zenith_angle quantitative_solar_zenith_angle t y x"
	attribute flag_meanings = "cloud_absent cloud_present"
	attribute flag_values = 0, 1
	attribute grid_mapping = "goes_imager_projection"
	attribute long_name = "ABI L2+ Aerosol Detection: Cloud Flag"
	attribute resolution = "y: 0.000056 rad x: 0.000056 rad"
	attribute standard_name = "cloud_binary_mask"
	attribute units = "1"
	attribute valid_range = 0, 1
dataset /DQF: uint16, shape (500, 500)
	attribute _FillValue = 65535
	attribute cell_methods = "retrieval_local_zenith_angle: point, retrieval_solar_zenith_angle: point, t: point, area: point"
	attribute coordinates = "retrieval_local_zenith_angle, retrieval_solar_zenith_angle, t, y, x"
	attribute flag_masks = 3, 3, 3, 3, 12, 12, 12, 12, 48, 48, 48, 48, 192, 192, 192, 192
	attribute flag_meanings = "low_confidence_ash_detection_qf medium_confidence_ash_detection_qf high_confidence_ash_detection_qf bad_missing_ash_detection_qf low_confidence_smoke_detection_qf medium_confidence_smoke_detection_qf high_confidence_smoke_detection_qf bad_missing_smoke_detection_qf low_confidence_dust_detection_qf medium_confidence_dust_detection_qf high_confidence_dust_detection_qf bad_missing_dust_detection_qf low_confidence_nuc_detection_qf medium_confidence_nuc_detection_qf high_confidence_nuc_detection_qf bad_missing_nuc_detection_qf"
	attribute flag_values = 2, 1, 0, 3, 8, 4, 0, 12, 32, 16, 0, 48, 128, 64, 0, 192
	attribute grid_mapping = "goes_imager_projection"
	attribute long_name = "ABI L2+ Aerosol Detection: Quality Flag for Ash, Smoke, Dust, and NUC"
	attribute percent_bad_missing_ash_detection_qf = 0.0
	attribute percent_bad_missing_dust_detection_qf = 0.0
	attribute percent_bad_missing_nuc_detection_qf = 0.0
	attribute percent_bad_missing_smoke_detection_qf = 0.0
	attribute percent_high_confidence_ash_detection_qf = 0.0
	attribute percent_high_confidence_dust_detection_qf = 0.0
	attribute percent_high_confidence_nuc_detection_qf = 0.0
	attribute percent_high_confidence_smoke_detection_qf = 0.0
	attribute percent_low_confidence_ash_detection_qf = 0.0
	attribute percent_low_confidence_dust_detection_qf = 0.0
	attribute percent_low_confidence_nuc_detection_qf = 0.0
	attribute percent_low_confidence_smoke_detection_qf = 0.0
	attribute percent_medium_confidence_ash_detection_qf = 0.0
	attribute percent_medium_confidence_dust_detection_qf = 0.0
	attribute percent_medium_confidence_nuc_detection_qf = 0.0
	attribute percent_medium_confidence_smoke_detection_qf = 0.0
	attribute standard_name = "ash_smoke_dust_nuc_quality_flag"
	attribute units = "1"
	attribute valid_range = 0, 255
dataset /Dust: int8, shape (500, 500)
	attribute _FillValue = -128
	attribute ancillary_variables = "DQF"
	attribute cell_methods = "retrieval_local_zenith_angle: point (good or degraded quality pixel produced) quantitative_local_zenith_angle: point (good quality pixel produced) retrieval_solar_zenith_angle: point (good or degraded quality pixel produced) quantitative_solar_zenith_angle: point (good quality pixel produced) t: point area: point"
	attribute coordinates = "retrieval_local_zenith_angle quantitative_local_zenith_angle retrieval_solar_zenith_angle quantitative_solar_zenith_angle t y x"
	attribute flag_meanings = "dust_absent dust_present"
	attribute flag_values = 0, 1
	attribute grid_mapping = "goes_imager_projection"
	attribute long_name = "ABI L2+ Aerosol Detection: Dust Flag"
	attribute resolution = "y: 0.000056 rad x: 0.000056 rad"
	attribute standard_name = "dust_binary_mask"
	attribute units = "1"
	attribute valid_range = 0, 1
dataset /PQI1: uint16, shape (500, 500)
	attribute _FillValue = 65535
	attribute coordinates = "retrieval_local_zenith_angle, retrieval_solar_zenith_angle, t, y, x"
	attribute flag_masks = 1, 1, 2, 2, 12, 12, 12, 48, 48, 48, 192, 192, 192
	attribute flag_meanings = "valid_longitude invalid_longitude valid_latitude invalid_latitude valid_solar_zenith_angle invalid_solar_zenith_angle out_of_range_solar_zenith_angle valid_satellite_view_zenith_angle invalid_satellite_view_zenith_angle out_of_range_satellite_view_zenith_angle snow_ice_mask_source_abi snow_ice_mask_source_ims snow_ice_mask_source_internal_test"
	attribute flag_values = 0, 1, 0, 2, 0, 8, 12, 0, 32, 48, 0, 128, 192
	attribute grid_mapping = "goes_imager_projection"
	attribute long_name = "ABI L2+ Aerosol Detection: Product Quality Information Flag 1"
	attribute number_of_qf_values = 13
	attribute standard_name = "product_quality_information_flag_1"
	attribute units = "1"
	attribute valid_range = 0, 255
dataset /PQI2: uint16, shape (500, 500)
	attribute _FillValue = 65535
	attribute coordinates = "retrieval_local_zenith_angle, retrieval_solar_zenith_angle, t, y, x"
	attribute flag_masks = 1, 1, 2, 2, 4, 4, 8, 8, 16, 16, 32, 32, 64, 64, 128, 128
	attribute flag_meanings = "sunglint_mask_source_abi sunglint_mask_source_internal_test outside_sunglint within_sunglint water land day night smoke_detection_over_water_valid_abi_inputs smoke_detection_over_water_invalid_abi_inputs smoke_detection_over_water_clouds_absent smoke_detection_over_water_clouds_present smoke_detection_over_water_snow_ice_absent smoke_detection_over_water_snow_ice_present smoke_detection_over_water_thin_smoke smoke_detection_over_water_thick_smoke"
	attribute flag_values = 0, 1, 0, 2, 0, 4, 0, 8, 0, 16, 0, 32, 0, 64, 0, 128
	attribute grid_mapping = "goes_imager_projection"
	attribute long_name = "ABI L2+ Aerosol Detection: Product Quality Information Flag 2"
	attribute number_of_qf_values = 16
	attribute standard_name = "product_quality_information_flag_2"
	attribute units = "1"
	attribute valid_range = 0, 255
dataset /Smoke: int8, shape (500, 500)
	attribute _FillValue = -128
	attribute ancillary_variables = "DQF"
	attribute cell_methods = "retrieval_local_zenith_angle: point (good or degraded quality pixel produced) quantitative_local_zenith_angle: point (good quality pixel produced) retrieval_solar_zenith_angle: point (good or degraded quality pixel produced) quantitative_solar_zenith_angle: point (good quality pixel produced) t: point area: point"
	attribute coordinates = "retrieval_local_zenith_angle quantitative_local_zenith_angle retrieval_solar_zenith_angle quantitative_solar_zenith_angle t y x"
	attribute flag_meanings = "smoke_absent smoke_present"
	attribute flag_values = 0, 1
	attribute grid_mapping = "goes_imager_projection"
	attribute long_name = "ABI L2+ Aerosol Detection: Smoke Flag"
	attribute resolution = "y: 0.000056 rad x: 0.000056 rad"
	attribute standard_name = "smoke_binary_mask"
	attribute units = "1"
	attribute valid_range = 0, 1
dataset /SnowIce: int8, shape (500, 500)
	attribute _FillValue = -128
	attribute ancillary_variables = "DQF"
	attribute cell_methods = "retrieval_local_zenith_angle: point (good or degraded quality pixel produced) quantitative_local_zenith_angle: point (good quality pixel produced) retrieval_solar_zenith_angle: point (good or degraded quality pixel produced) quantitative_solar_zenith_angle: point (good quality pixel produced) t: point area: point"
	attribute coordinates = "retrieval_local_zenith_angle quantitative_local_zenith_angle retrieval_solar_zenith_angle quantitative_solar_zenith_angle t y x"
	attribute flag_meanings = "snow_ice_absent snow_ice_present"
	attribute flag_values = 0, 1
	attribute grid_mapping = "goes_imager_projection"
	attribute long_name = "ABI L2+ Aerosol Detection: Snow Ice Flag"
	attribute resolution = "y: 0.000056 rad x: 0.000056 rad"
	attribute standard_name = "snowice_binary_mask"
	attribute units = "1"
	attribute valid_range = 0, 1
dataset /algorithm_dynamic_input_data_container: int32, shape ()
	attribute input_ABI_L1b_FPT_from_focal_plane_2 = "null"
	attribute input_ABI_L1b_FPT_from_focal_plane_3 = "null"
	attribute input_ABI_L1b_radiance_band_13_2km_data_quality_flag_data = "OR_ABI-L1b-RadM1-M6C13_G16_s20241380320279_e20241380320337_c*.nc"
	attribute input_ABI_L1b_radiance_band_14_2km_data_quality_flag_data = "OR_ABI-L1b-RadM1-M6C14_G16_s20241380320279_e20241380320337_c*.nc"
	attribute input_ABI_L1b_radiance_band_15_2km_data_quality_flag_data = "OR_ABI-L1b-RadM1-M6C15_G16_s20241380320279_e20241380320337_c*.nc"
	attribute input_ABI_L1b_radiance_band_7_2km_data_quality_flag_data = "OR_ABI-L1b-RadM1-M6C07_G16_s20241380320279_e20241380320337_c*.nc"
	attribute input_ABI_L2_auxiliary_land_mask_data = "null"
	attribute input_ABI_L2_auxiliary_lat_lon_position_data = "null"
	attribute input_ABI_L2_auxiliary_local_azimuth_angle_data = "null"
	attribute input_ABI_L2_auxiliary_local_zenith_angle_data = "null"
	attribute input_ABI_L2_auxiliary_solar_azimuth_angle_data = "OR_I_ABI-L2-AUXM1-M6_G16_s20241380320279_e20241380320337_c*.nc"
	attribute input_ABI_L2_auxiliary_solar_zenith_angle_data = "OR_I_ABI-L2-AUXM1-M6_G16_s20241380320279_e20241380320337_c*.nc"
	attribute input_ABI_L2_brightness_temperature_band_13_2km_data = "OR_ABI-L2-CMIPM1-M6C13_G16_s20241380320279_e20241380320337_c*.nc"
	attribute input_ABI_L2_brightness_temperature_band_14_2km_data = "OR_ABI-L2-CMIPM1-M6C14_G16_s20241380320279_e20241380320337_c*.nc"
	attribute input_ABI_L2_brightness_temperature_band_15_2km_data = "OR_ABI-L2-CMIPM1-M6C15_G16_s20241380320279_e20241380320337_c*.nc"
	attribute input_ABI_L2_brightness_temperature_band_7_2km_data = "OR_ABI-L2-CMIPM1-M6C07_G16_s20241380320279_e20241380320337_c*.nc"
	attribute input_ABI_L2_intermediate_product_cloud_mask_data_information_flag_data = "OR_I_ABI-L2-ACMDIFM1-M6_G16_s20241380320279_e20241380320337_c*.nc"
	attribute input_ABI_L2_intermediate_product_cloud_top_cloud_shadow_flag_data = "OR_I_ABI-L2-ACHM1-M6_G16_s20241380320279_e20241380320337_c*.nc"
	attribute input_ABI_L2_intermediate_product_reflectance_band_1_2km_data = "OR_I_ABI-L2-CMIPM1-M6C01_G16_s20241380320279_e20241380320337_c*.nc"
	attribute input_ABI_L2_intermediate_product_reflectance_band_2_2km_data = "OR_I_ABI-L2-CMIPM1-M6C02_G16_s20241380320279_e20241380320337_c*.nc"
	attribute input_ABI_L2_intermediate_product_reflectance_band_3_2km_data = "OR_I_ABI-L2-CMIPM1-M6C03_G16_s20241380320279_e20241380320337_c*.nc"
	attribute input_ABI_L2_intermediate_product_reflectance_band_4_2km_data = "OR_I_ABI-L2-CMIPM1-M6C04_G16_s20241380320279_e20241380320337_c*.nc"
	attribute input_ABI_L2_intermediate_product_reflectance_band_5_2km_data = "OR_I_ABI-L2-CMIPM1-M6C05_G16_s20241380320279_e20241380320337_c*.nc"
	attribute input_ABI_L2_intermediate_product_reflectance_band_6_2km_data = "OR_I_ABI-L2-CMIPM1-M6C06_G16_s20241380320279_e20241380320337_c*.nc"
	attribute input_dynamic_ancillary_global_snow_mask_data = "null"
	attribute long_name = "container for filenames of dynamic algorithm input data"
dataset /algorithm_product_version_container: int32, shape ()
	attribute algorithm_version = "OR_ABI-L2-ALG-ADP_v02r00.zip"
	attribute long_name = "container for algorithm package filename and product version"
	attribute product_version = "v02r00"
dataset /band: float32, shape (1)
dataset /geospatial_lat_lon_extent: float32, shape ()
	attribute geospatial_eastbound_longitude = -84.6466599
	attribute geospatial_lat_center = 33.6923676
	attribute geospatial_lat_nadir = 0.0
	attribute geospatial_lat_units = "degrees_north"
	attribute geospatial_lon_center = -91.1880493
	attribute geospatial_lon_nadir = -75.0
	attribute geospatial_lon_units = "degrees_east"
	attribute geospatial_northbound_latitude = 40.4724731
	attribute geospatial_southbound_latitude = 27.8079967
	attribute geospatial_westbound_longitude = -99.8744812
	attribute long_name = "geospatial latitude and longitude references"
dataset /goes_imager_projection: int32, shape ()
	attribute grid_mapping_name = "geostationary"
	attribute inverse_flattening = 298.2572221
	attribute latitude_of_projection_origin = 0.0
	attribute long_name = "GOES-R ABI fixed grid projection"
	attribute longitude_of_projection_origin = -75.0
	attribute perspective_point_height = 35786023.0
	attribute semi_major_axis = 6378137.0
	attribute semi_minor_axis = 6356752.31414
	attribute sweep_angle_axis = "x"
dataset /granule_level_quality_flag: int64, shape ()
	attribute _FillValue = -999
	attribute flag_masks = 0, 1, 63
	attribute flag_meanings = "valid_channels channel_missing algorithm_failure"
	attribute long_name = "Aerosol Granule Level Quality Flag"
	attribute units = "1"
	attribute valid_range = 0, 63
dataset /nominal_satellite_height: float32, shape ()
	attribute _FillValue = -999.0
	attribute long_name = "nominal satellite height above GRS 80 ellipsoid (platform altitude)"
	attribute standard_name = "height_above_reference_ellipsoid"
	attribute units = "km"
dataset /nominal_satellite_subpoint_lat: float32, shape ()
	attribute _FillValue = -999.0
	attribute long_name = "nominal satellite subpoint latitude (platform latitude)"
	attribute standard_name = "latitude"
	attribute units = "degrees_north"
dataset /nominal_satellite_subpoint_lon: float32, shape ()
	attribute _FillValue = -999.0
	attribute long_name = "nominal satellite subpoint longitude (platform longitude)"
	attribute standard_name = "longitude"
	attribute units = "degrees_east"
dataset /number_good_LZA_pixels: int32, shape ()
	attribute _FillValue = -1
	attribute cell_methods = "quantitative_local_zenith_angle: sum retrieval_solar_zenith_angle: sum t: sum area: sum (interval: 0.000056 rad comment: geolocated/not missing pixels only)"
	attribute coordinates = "quantitative_local_zenith_angle retrieval_solar_zenith_angle t y_image x_image"
	attribute grid_mapping = "goes_imager_projection"
	attribute long_name = "number of pixels that do not exceed LZA threshold"
	attribute units = "count"
dataset /number_good_SZA_pixels: int32, shape ()
	attribute _FillValue = -1
	attribute cell_methods = "retrieval_local_zenith_angle: sum quantitative_solar_zenith_angle: sum t: sum area: sum (interval: 0.000056 rad comment: geolocated/not missing pixels only)"
	attribute coordinates = "retrieval_local_zenith_angle quantitative_solar_zenith_angle t y_image x_image"
	attribute grid_mapping = "goes_imager_projection"
	attribute long_name = "number of pixels that do not exceed SZA threshold"
	attribute units = "count"
dataset /number_of_LZA_bounds: float32, shape (2)
dataset /number_of_SZA_bounds: float32, shape (2)
dataset /number_of_good_dust_retrievals: int32, shape ()
	attribute _FillValue = -1
	attribute cell_methods = "retrieval_local_zenith_angle: sum, retrieval_solar_zenith_angle: sum, t: sum, area: sum (interval: 0.000056 rad comment: good dust detection retrieval pixels only) where dust"
	attribute coordinates = "retrieval_local_zenith_angle, retrieval_solar_zenith_angle, t, y_image, x_image"
	attribute grid_mapping = "goes_imager_projection"
	attribute long_name = "number of dust retrievals where dust may or may not exist"
	attribute units = "count"
dataset /number_of_good_retrievals_where_dust_detected: int32, shape ()
	attribute _FillValue = -1
	attribute cell_methods = "retrieval_local_zenith_angle: sum, retrieval_solar_zenith_angle: sum, t: sum, area: sum (interval: 0.000056 rad comment: good dust detection retrieval pixels only) where dust"
	attribute coordinates = "retrieval_local_zenith_angle, retrieval_solar_zenith_angle, t, y_image, x_image"
	attribute grid_mapping = "goes_imager_projection"
	attribute long_name = "number of retrievals where dust is detected"
	attribute units = "count"
dataset /number_of_good_retrievals_where_smoke_detected: int32, shape ()
	attribute _FillValue = -1
	attribute cell_methods = "retrieval_local_zenith_angle: sum, retrieval_solar_zenith_angle: sum, t: sum, area: sum (interval: 0.000056 rad comment: good smoke detection retrieval pixels only) where smoke"
	attribute coordinates = "retrieval_local_zenith_angle, retrieval_solar_zenith_angle, t, y_image, x_image"
	attribute grid_mapping = "goes_imager_projection"
	attribute long_name = "number of retrievals where smoke is detected"
	attribute units = "count"
dataset /number_of_good_smoke_retrievals: int32, shape ()
	attribute _FillValue = -1
	attribute cell_methods = "retrieval_local_zenith_angle: sum, retrieval_solar_zenith_angle: sum, t: sum, area: sum (interval: 0.000056 rad comment: good smoke detection retrieval pixels only) where smoke"
	attribute coordinates = "retrieval_local_zenith_angle, retrieval_solar_zenith_angle, t, y_image, x_image"
	attribute grid_mapping = "goes_imager_projection"
	attribute long_name = "number of smoke retrievals where smoke may or may not exist"
	attribute units = "count"
dataset /number_of_image_bounds: float32, shape (2)
dataset /number_of_time_bounds: float32, shape (2)
dataset /percent_uncorrectable_GRB_errors: float32, shape ()
	attribute _FillValue = -999.0
	attribute cell_methods = "t: sum area: sum (uncorrectable GRB errors only)"
	attribute coordinates = "t y_image x_image"
	attribute grid_mapping = "goes_imager_projection"
	attribute long_name = "percent data lost due to uncorrectable GRB errors"
	attribute units = "percent"
	attribute valid_range = 0.0, 1.0
dataset /percent_uncorrectable_L0_errors: float32, shape ()
	attribute _FillValue = -999.0
	attribute cell_methods = "t: sum area: sum (uncorrectable L0 errors only)"
	attribute coordinates = "t y_image x_image"
	attribute grid_mapping = "goes_imager_projection"
	attribute long_name = "percent data lost due to uncorrectable L0 errors"
	attribute units = "percent"
	attribute valid_range = 0.0, 1.0
dataset /processing_parm_version_container: int32, shape ()
	attribute L2_processing_parm_version = "OR_ABI-L2-PARM-ADP_v02r00.zip, OR_ANC-L2-PARM-SEMISTATIC_v01r00.zip, OR_ANC-L2-PARM-ANCILLARY_v01r00.zip, OR_ABI-L2-PARM-AUXILIARY_v01r00.zip"
	attribute long_name = "container for processing parameter filenames"
dataset /quantitative_local_zenith_angle: float32, shape ()
	attribute bounds = "quantitative_local_zenith_angle_bounds"
	attribute long_name = "threshold angle between the line of sight to the satellite and the local zenith at the observation target for good quality aerosol detection data production"
	attribute standard_name = "platform_zenith_angle"
	attribute units = "degree"
dataset /quantitative_local_zenith_angle_bounds: float32, shape (2)
	attribute long_name = "local zenith angle degree range where good quality aerosol detection data is produced"
dataset /quantitative_solar_zenith_angle: float32, shape ()
	attribute bounds = "quantitative_solar_zenith_angle_bounds"
	attribute long_name = "threshold angle between the line of sight to the sun and the local zenith at the observation target for good quality aerosol detection data production"
	attribute standard_name = "solar_zenith_angle"
	attribute units = "degree"
dataset /quantitative_solar_zenith_angle_bounds: float32, shape (2)
	attribute long_name = "solar zenith angle degree range where good quality aerosol detection data is produced"
dataset /retrieval_local_zenith_angle: float32, shape ()
	attribute bounds = "retrieval_local_zenith_angle_bounds"
	attribute long_name = "threshold angle between the line of sight to the satellite and the local zenith at the observation target for good or degraded quality aerosol detection data production"
	attribute standard_name = "platform_zenith_angle"
	attribute units = "degree"
dataset /retrieval_local_zenith_angle_bounds: float32, shape (2)
	attribute long_name = "local zenith angle degree range where good or degraded quality aerosol detection data is produced"
dataset /retrieval_solar_zenith_angle: float32, shape ()
	attribute bounds = "retrieval_solar_zenith_angle_bounds"
	attribute long_name = "threshold angle between the line of sight to the sun and the local zenith at the observation target for good or degraded quality aerosol detection data production"
	attribute standard_name = "solar_zenith_angle"
	attribute units = "degree"
dataset /retrieval_solar_zenith_angle_bounds: float32, shape (2)
	attribute long_name = "solar zenith angle degree range where good or degraded quality aerosol detection data is produced"
dataset /t: float64, shape ()
	attribute axis = "T"
	attribute bounds = "time_bounds"
	attribute long_name = "J2000 epoch mid-point between the start and end image scan in seconds"
	attribute standard_name = "time"
	attribute units = "seconds since 2000-01-01 12:00:00"
dataset /time_bounds: float64, shape (2)
	attribute long_name = "Scan start and end times in seconds since epoch (2000-01-01 12:00:00)"
dataset /x: int16, shape (500)
	attribute add_offset = -0.0537599996
	attribute axis = "X"
	attribute long_name = "GOES fixed grid projection x-coordinate"
	attribute scale_factor = 5.60000008e-05
	attribute standard_name = "projection_x_coordinate"
	attribute units = "rad"
// x: first 0, last 499, count 500
dataset /x_image: float32, shape ()
	attribute axis = "X"
	attribute long_name = "GOES-R fixed grid projection x-coordinate center of image"
	attribute standard_name = "projection_x_coordinate"
	attribute units = "rad"
dataset /x_image_bounds: float32, shape (2)
	attribute long_name = "GOES-R fixed grid projection x-coordinate west/east extent of image"
	attribute units = "rad"
dataset /y: int16, shape (500)
	attribute add_offset = 0.10864
	attribute axis = "Y"
	attribute long_name = "GOES fixed grid projection y-coordinate"
	attribute scale_factor = -5.60000008e-05
	attribute standard_name = "projection_y_coordinate"
	attribute units = "rad"
// y: first 0, last 499, count 500
dataset /y_image: float32, shape ()
	attribute axis = "Y"
	attribute long_name = "GOES-R fixed grid projection y-coordinate center of image"
	attribute standard_name = "projection_y_coordinate"
	attribute units = "rad"
dataset /y_image_bounds: float32, shape (2)
	attribute long_name = "GOES-R fixed grid projection y-coordinate north/south extent of image"
	attribute units = "rad"