OPeNDAP Data Access Form for MYDATML2.A2015057.1445.061.2018048100357.hdf
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dataset: MYDATML2.A2015057.1445.061.2018048100357.hdf




  • CoreMetadata
      • INVENTORYMETADATA
        • GROUPTYPE: MASTERGROUP
          • ECSDATAGRANULE
              • REPROCESSINGPLANNED
                • NUM_VAL: 1
                • VALUE: "further update is anticipated"
              • REPROCESSINGACTUAL
                • NUM_VAL: 1
                • VALUE: "processed once"
              • LOCALGRANULEID
                • NUM_VAL: 1
                • VALUE: "MYDATML2.A2015057.1445.061.2018048100357.hdf"
              • DAYNIGHTFLAG
                • NUM_VAL: 1
                • VALUE: "Day"
              • PRODUCTIONDATETIME
                • NUM_VAL: 1
                • VALUE: "2018-02-17T10:03:57.000Z"
              • LOCALVERSIONID
                • NUM_VAL: 1
                • VALUE: "061"
          • MEASUREDPARAMETER
              • MEASUREDPARAMETERCONTAINER
                • CLASS: "1", "2"
                  • PARAMETERNAME
                    • NUM_VAL: 1, 1
                    • CLASS: "1", "2"
                    • VALUE: "Cloud_Top_Pressure", "Corrected_Optical_Depth_Land"
                  • QAFLAGS
                    • CLASS: "1", "2"
                      • AUTOMATICQUALITYFLAG
                        • NUM_VAL: 1, 1
                        • CLASS: "1", "2"
                        • VALUE: "Passed", "Suspect"
                      • AUTOMATICQUALITYFLAGEXPLANATION
                        • NUM_VAL: 1, 1
                        • CLASS: "1", "2"
                        • VALUE: "Passed: >10% useable; Failed: <10% useable", "FurtherInvestigationNeeded"
                      • SCIENCEQUALITYFLAG
                        • NUM_VAL: 1, 1
                        • VALUE: "Not Investigated", "Not Investigated"
                        • CLASS: "1", "2"
                      • SCIENCEQUALITYFLAGEXPLANATION
                        • NUM_VAL: 1, 1
                        • VALUE: "See http://modis-atmos.gsfc.nasa.gov/validation.html for more details on MODIS Atmosphere data quality.", "See http://modis-atmos.gsfc.nasa.gov/validation.html for more details on MODIS Atmosphere data quality."
                        • CLASS: "1", "2"
                  • QASTATS
                    • CLASS: "1", "2"
                      • QAPERCENTMISSINGDATA
                        • NUM_VAL: 1, 1
                        • CLASS: "1", "2"
                        • VALUE: 28, 96
          • ORBITCALCULATEDSPATIALDOMAIN
              • ORBITCALCULATEDSPATIALDOMAINCONTAINER
                • CLASS: "1"
                  • ORBITNUMBER
                    • NUM_VAL: 1
                    • CLASS: "1"
                    • VALUE: 68173
                  • EQUATORCROSSINGLONGITUDE
                    • NUM_VAL: 1
                    • CLASS: "1"
                    • VALUE: 151.789723804122
                  • EQUATORCROSSINGTIME
                    • NUM_VAL: 1
                    • CLASS: "1"
                    • VALUE: "15:29:07.122299"
                  • EQUATORCROSSINGDATE
                    • NUM_VAL: 1
                    • CLASS: "1"
                    • VALUE: "2015-02-26"
          • COLLECTIONDESCRIPTIONCLASS
              • SHORTNAME
                • NUM_VAL: 1
                • VALUE: "MYDATML2"
              • VERSIONID
                • NUM_VAL: 1
                • VALUE: 61
          • INPUTGRANULE
              • INPUTPOINTER
                • NUM_VAL: 30
                • VALUE: "MYD03.A2015057.1445.061.2018046001724.hdf", "MYD04_L2.A2015057.1445.061.2018048093120.hdf", "MYD05_L2.A2015057.1445.061.2018048092717.hdf", "MYD06_L2.A2015057.1445.061.2018048095753.hdf", "MYD07_L2.A2015057.1445.061.2018046125252.hdf", " MYD35_L2.A2015057.1445.061.2018046125230.hdf"
          • SPATIALDOMAINCONTAINER
              • HORIZONTALSPATIALDOMAINCONTAINER
                  • BOUNDINGRECTANGLE
                      • WESTBOUNDINGCOORDINATE
                        • NUM_VAL: 1
                        • VALUE: -37.200776520844
                      • NORTHBOUNDINGCOORDINATE
                        • NUM_VAL: 1
                        • VALUE: 38.2882496367091
                      • EASTBOUNDINGCOORDINATE
                        • NUM_VAL: 1
                        • VALUE: -9.02363747249902
                      • SOUTHBOUNDINGCOORDINATE
                        • NUM_VAL: 1
                        • VALUE: 17.1452141055535
          • RANGEDATETIME
              • RANGEBEGINNINGDATE
                • NUM_VAL: 1
                • VALUE: "2015-02-26"
              • RANGEBEGINNINGTIME
                • NUM_VAL: 1
                • VALUE: "14:45:00.000000"
              • RANGEENDINGDATE
                • NUM_VAL: 1
                • VALUE: "2015-02-26"
              • RANGEENDINGTIME
                • NUM_VAL: 1
                • VALUE: "14:50:00.000000"
          • PGEVERSIONCLASS
              • PGEVERSION
                • NUM_VAL: 1
                • VALUE: "6.1.0"
          • ANCILLARYINPUTGRANULE
              • ANCILLARYINPUTGRANULECONTAINER
                • CLASS: "1"
                  • ANCILLARYINPUTTYPE
                    • NUM_VAL: 1
                    • CLASS: "1"
                    • VALUE: "Geolocation"
                  • ANCILLARYINPUTPOINTER
                    • NUM_VAL: 1
                    • CLASS: "1"
                    • VALUE: "MYD03.A2015057.1445.061.2018046001724.hdf"
          • ASSOCIATEDPLATFORMINSTRUMENTSENSOR
              • ASSOCIATEDPLATFORMINSTRUMENTSENSORCONTAINER
                • CLASS: "1"
                  • ASSOCIATEDSENSORSHORTNAME
                    • CLASS: "1"
                    • NUM_VAL: 1
                    • VALUE: "MODIS"
                  • ASSOCIATEDPLATFORMSHORTNAME
                    • CLASS: "1"
                    • NUM_VAL: 1
                    • VALUE: "Aqua"
                  • ASSOCIATEDINSTRUMENTSHORTNAME
                    • CLASS: "1"
                    • NUM_VAL: 1
                    • VALUE: "MODIS"
          • ADDITIONALATTRIBUTES
              • ADDITIONALATTRIBUTESCONTAINER
                • CLASS: "1", "2", "3", "4", "5", "6", "7", "8", "9", "10", "11", "12", "13", "14", "15", "16", "17", "18", "19", "20", "21", "22", "23", "24", "25", "26", "27", "28", "29"
                  • ADDITIONALATTRIBUTENAME
                    • CLASS: "1", "2", "3", "4", "5", "6", "7", "8", "9", "10", "11", "12", "13", "14", "15", "16", "17", "18", "19", "20", "21", "22", "23", "24", "25", "26", "27", "28", "29"
                    • NUM_VAL: 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1
                    • VALUE: "SuccessfulRetrievalPct", "DayProcessedPct", "NightProcessedPct", "LandProcessedPct", "WaterProcessedPct", "Snow_IceSurfaceProcessedPct", "ShadowFoundPct", "SunglintProcessedPct", "NonCloudObstructionFoundPct", "MaxSolarZenithAngle", "MinSolarZenithAngle", "VeryHighConfidentClearPct", "HighConfidentClearPct", "UncertainConfidentClearPct", "LowConfidentClearPct", "ThinCirrusSolarFoundPct", "ThinCirrusIR_FoundPct", "SuccessfulRetrievalPct_Land", "SuccessfulRetrievalPct_Ocean", "SuccessfulRetrievalPct_NIR", "SuccessfulRetrievalPct_IR", "SuccessCloudTopPropRtrPct_IR", "SuccessCloudPhaseRtrPct_IR", "SuccessCloudOptPropRtrPct_VIS", "CloudCoverFractionPct_VIS", "WaterCloudDetectedPct_VIS", "IceCloudDetectedPct_VIS", "identifier_product_doi", "identifier_product_doi_authority"
                  • INFORMATIONCONTENT
                    • CLASS: "1", "2", "3", "4", "5", "6", "7", "8", "9", "10", "11", "12", "13", "14", "15", "16", "17", "18", "19", "20", "21", "22", "23", "24", "25", "26", "27", "28", "29"
                      • PARAMETERVALUE
                        • NUM_VAL: 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1
                        • CLASS: "1", "2", "3", "4", "5", "6", "7", "8", "9", "10", "11", "12", "13", "14", "15", "16", "17", "18", "19", "20", "21", "22", "23", "24", "25", "26", "27", "28", "29"
                        • VALUE: " 100.00", " 100.00", " 0.00", " 7.65", " 92.35", " 0.00", " 0.00", " 21.06", " 1.23", " 53.63", " 26.80", " 20.22", " 13.99", " 1.76", " 64.03", " 14.55", " 0.03", " 3.71", " 15.19", " 100.00", " 39.92", " 71.82", " 71.67", " 0.00", " 0.00", " 0.00", " 0.00", "10.5067/MODIS/MYDATML2.061", "http://dx.doi.org"
  • ArchiveMetadata
      • ARCHIVEDMETADATA
        • GROUPTYPE: MASTERGROUP
          • PROCESSINGENVIRONMENT
            • NUM_VAL: 1
            • VALUE: "Linux minion7025 3.10.0-693.11.6.el7.x86_64 #1 SMP Thu Jan 4 01:06:37 UTC 2018 x86_64 x86_64 x86_64 GNU/Linux"
          • LONGNAME
            • NUM_VAL: 1
            • VALUE: "MODIS/Aqua Aerosol, Cloud and Water Vapor Subset 5-Min L2 Swath 5km and 10km"
          • INSTRUMENTNAME
            • NUM_VAL: 1
            • VALUE: "Moderate Resolution Imaging Spectroradiometer"
          • GPOLYGON
              • GPOLYGONCONTAINER
                • CLASS: "1"
                  • GRING
                    • CLASS: "1"
                      • EXCLUSIONGRINGFLAG
                        • NUM_VAL: 1
                        • CLASS: "1"
                        • VALUE: "N"
                  • GRINGPOINT
                    • CLASS: "1"
                      • GRINGPOINTLONGITUDE
                        • NUM_VAL: 4
                        • CLASS: "1"
                        • VALUE: -8.82978496100428, -30.8081022435586, -37.3210659454451, -11.5405912971792
                      • GRINGPOINTLATITUDE
                        • NUM_VAL: 4
                        • CLASS: "1"
                        • VALUE: 20.2882774977165, 17.1284035605239, 34.5708892806215, 38.5105454029455
                      • GRINGPOINTSEQUENCENO
                        • NUM_VAL: 4
                        • CLASS: "1"
                        • VALUE: 1, 2, 3, 4
          • DESCRREVISION
            • NUM_VAL: 1
            • VALUE: "6.1"
          • PRODUCTIONHISTORY
            • NUM_VAL: 1
            • VALUE: "PGE83:6.1.0"
  • HDF_GLOBAL
    • HDFEOSVersion: HDFEOS_V2.19
    • identifier_product_doi: 10.5067/MODIS/MYDATML2.061
    • identifier_product_doi_authority: http://dx.doi.org
  • atml2_Swath_Attributes__FV_Deep_Blue_Aerosol_Optical_Depth_550_Land_Estimated_Uncertain
    • Vdata_field_AttrValues: -9999


Cloud_Optical_Thickness[ Cell_Along_Swath_5km= 0 ..405] [ Cell_Across_Swath_5km= 0 ..270] (Type is Int16)
  • attributes
    • coordinates: Latitude Longitude
    • long_name: Cloud Optical Thickness two-channel retrieval using band 7(2.1um) and either band 1(0.65um), 2(0.86um), or 5(1.2um) from best points: not failed in any way, not marked for clear sky restoral
    • units: none
    • valid_range: 0, 10000
    • _FillValue: -9999
    • Parameter_Type: Output
    • Cell_Along_Swath_Sampling: 4, 2029, 5
    • Cell_Across_Swath_Sampling: 3, 1348, 5
    • Geolocation_Pointer: External MODIS geolocation product
    • _1_km_to_5_km_subsampling_description: Each value in this dataset does not represent an average of properties over a 5 x 5 km grid box, but rather a single sample from within each 5 km box. Normally, pixels in across-track rows 4 and 9 (counting in the direction of increasing scan number) out of every set of 10 rows are used for subsampling the 1 km retrievals to a 5 km resolution. If the array contents are determined to be all fill values after selecting the default pixel subset (e.g., from failed detectors), a different pair of pixel rows is used to perform the subsampling. Note that 5 km data sets are centered on rows 3 and 8; the default sampling choice of 4 and 9 is for better data quality and avoidance of dead detectors on Aqua. The row pair used for the 1 km sample is always given by the first number and last digit of the second number of the attribute Cell_Along_Swath_Sampling. The attribute Cell_Across_Swath_Sampling indicates that columns 3 and 8 are used, as they always are, for across-track sampling. Again these values are to be interpreted counting in the direction of the scan, from 1 through 10 inclusively. For example, if the value of attribute Cell_Along_Swath_Sampling is 3, 2028, 5, then the third and eighth pixel rows were used for subsampling. A value of 4, 2029, 5 indicates that the default fourth and ninth rows pair was used.
    • source_info: MYD06_L2.A2015057.1445.061.2018048095753.hdf pge06v6.1.4 Cloud_Optical_Thickness
    • scale_factor: 0.0099999997764825821
    • add_offset: 0.0000000000000000
Cloud_Effective_Radius[ Cell_Along_Swath_5km= 0 ..405] [ Cell_Across_Swath_5km= 0 ..270] (Type is Int16)
  • attributes
    • coordinates: Latitude Longitude
    • long_name: Cloud Particle Effective Radius two-channel retrieval using band 7(2.1um) and either band 1(0.65um), 2(0.86um), or 5(1.2um) from best points: not failed in any way, not marked for clear sky restoral
    • units: micron
    • valid_range: 0, 10000
    • _FillValue: -9999
    • Parameter_Type: Output
    • Cell_Along_Swath_Sampling: 4, 2029, 5
    • Cell_Across_Swath_Sampling: 3, 1348, 5
    • Geolocation_Pointer: External MODIS geolocation product
    • _1_km_to_5_km_subsampling_description: Each value in this dataset does not represent an average of properties over a 5 x 5 km grid box, but rather a single sample from within each 5 km box. Normally, pixels in across-track rows 4 and 9 (counting in the direction of increasing scan number) out of every set of 10 rows are used for subsampling the 1 km retrievals to a 5 km resolution. If the array contents are determined to be all fill values after selecting the default pixel subset (e.g., from failed detectors), a different pair of pixel rows is used to perform the subsampling. Note that 5 km data sets are centered on rows 3 and 8; the default sampling choice of 4 and 9 is for better data quality and avoidance of dead detectors on Aqua. The row pair used for the 1 km sample is always given by the first number and last digit of the second number of the attribute Cell_Along_Swath_Sampling. The attribute Cell_Across_Swath_Sampling indicates that columns 3 and 8 are used, as they always are, for across-track sampling. Again these values are to be interpreted counting in the direction of the scan, from 1 through 10 inclusively. For example, if the value of attribute Cell_Along_Swath_Sampling is 3, 2028, 5, then the third and eighth pixel rows were used for subsampling. A value of 4, 2029, 5 indicates that the default fourth and ninth rows pair was used.
    • source_info: MYD06_L2.A2015057.1445.061.2018048095753.hdf pge06v6.1.4 Cloud_Effective_Radius
    • scale_factor: 0.0099999997764825821
    • add_offset: 0.0000000000000000
Cloud_Water_Path[ Cell_Along_Swath_5km= 0 ..405] [ Cell_Across_Swath_5km= 0 ..270] (Type is Int16)
  • attributes
    • coordinates: Latitude Longitude
    • long_name: Column Water Path two-channel retrieval using band 7(2.1um) and either band 1(0.65um), 2(0.86um), or 5(1.2um)from best points: not failed in any way, not marked for clear sky restoral
    • units: g/m^2
    • valid_range: 0, 10000
    • _FillValue: -9999
    • Parameter_Type: Output
    • Cell_Along_Swath_Sampling: 4, 2029, 5
    • Cell_Across_Swath_Sampling: 3, 1348, 5
    • Geolocation_Pointer: External MODIS geolocation product
    • _1_km_to_5_km_subsampling_description: Each value in this dataset does not represent an average of properties over a 5 x 5 km grid box, but rather a single sample from within each 5 km box. Normally, pixels in across-track rows 4 and 9 (counting in the direction of increasing scan number) out of every set of 10 rows are used for subsampling the 1 km retrievals to a 5 km resolution. If the array contents are determined to be all fill values after selecting the default pixel subset (e.g., from failed detectors), a different pair of pixel rows is used to perform the subsampling. Note that 5 km data sets are centered on rows 3 and 8; the default sampling choice of 4 and 9 is for better data quality and avoidance of dead detectors on Aqua. The row pair used for the 1 km sample is always given by the first number and last digit of the second number of the attribute Cell_Along_Swath_Sampling. The attribute Cell_Across_Swath_Sampling indicates that columns 3 and 8 are used, as they always are, for across-track sampling. Again these values are to be interpreted counting in the direction of the scan, from 1 through 10 inclusively. For example, if the value of attribute Cell_Along_Swath_Sampling is 3, 2028, 5, then the third and eighth pixel rows were used for subsampling. A value of 4, 2029, 5 indicates that the default fourth and ninth rows pair was used.
    • source_info: MYD06_L2.A2015057.1445.061.2018048095753.hdf pge06v6.1.4 Cloud_Water_Path
    • scale_factor: 1.0000000000000000
    • add_offset: 0.0000000000000000
Cloud_Optical_Thickness_1621[ Cell_Along_Swath_5km= 0 ..405] [ Cell_Across_Swath_5km= 0 ..270] (Type is Int16)
  • attributes
    • coordinates: Latitude Longitude
    • long_name: Cloud Optical Thickness two-channel retrieval using band 7(2.1um) and band 6(1.6um)from best points: not failed in any way, not marked for clear sky restoral
    • units: none
    • valid_range: 0, 10000
    • _FillValue: -9999
    • Parameter_Type: Output
    • Cell_Along_Swath_Sampling: 4, 2029, 5
    • Cell_Across_Swath_Sampling: 3, 1348, 5
    • Geolocation_Pointer: External MODIS geolocation product
    • _1_km_to_5_km_subsampling_description: Each value in this dataset does not represent an average of properties over a 5 x 5 km grid box, but rather a single sample from within each 5 km box. Normally, pixels in across-track rows 4 and 9 (counting in the direction of increasing scan number) out of every set of 10 rows are used for subsampling the 1 km retrievals to a 5 km resolution. If the array contents are determined to be all fill values after selecting the default pixel subset (e.g., from failed detectors), a different pair of pixel rows is used to perform the subsampling. Note that 5 km data sets are centered on rows 3 and 8; the default sampling choice of 4 and 9 is for better data quality and avoidance of dead detectors on Aqua. The row pair used for the 1 km sample is always given by the first number and last digit of the second number of the attribute Cell_Along_Swath_Sampling. The attribute Cell_Across_Swath_Sampling indicates that columns 3 and 8 are used, as they always are, for across-track sampling. Again these values are to be interpreted counting in the direction of the scan, from 1 through 10 inclusively. For example, if the value of attribute Cell_Along_Swath_Sampling is 3, 2028, 5, then the third and eighth pixel rows were used for subsampling. A value of 4, 2029, 5 indicates that the default fourth and ninth rows pair was used.
    • source_info: MYD06_L2.A2015057.1445.061.2018048095753.hdf pge06v6.1.4 Cloud_Optical_Thickness_1621
    • scale_factor: 0.0099999997764825821
    • add_offset: 0.0000000000000000
Cloud_Effective_Radius_1621[ Cell_Along_Swath_5km= 0 ..405] [ Cell_Across_Swath_5km= 0 ..270] (Type is Int16)
  • attributes
    • coordinates: Latitude Longitude
    • long_name: Cloud Particle Effective Radius two-channel retrieval using band 7(2.1um) and band 6(1.6um)from best points: not failed in any way, not marked for clear sky restoral
    • units: micron
    • valid_range: 0, 10000
    • _FillValue: -9999
    • Parameter_Type: Output
    • Cell_Along_Swath_Sampling: 4, 2029, 5
    • Cell_Across_Swath_Sampling: 3, 1348, 5
    • Geolocation_Pointer: External MODIS geolocation product
    • _1_km_to_5_km_subsampling_description: Each value in this dataset does not represent an average of properties over a 5 x 5 km grid box, but rather a single sample from within each 5 km box. Normally, pixels in across-track rows 4 and 9 (counting in the direction of increasing scan number) out of every set of 10 rows are used for subsampling the 1 km retrievals to a 5 km resolution. If the array contents are determined to be all fill values after selecting the default pixel subset (e.g., from failed detectors), a different pair of pixel rows is used to perform the subsampling. Note that 5 km data sets are centered on rows 3 and 8; the default sampling choice of 4 and 9 is for better data quality and avoidance of dead detectors on Aqua. The row pair used for the 1 km sample is always given by the first number and last digit of the second number of the attribute Cell_Along_Swath_Sampling. The attribute Cell_Across_Swath_Sampling indicates that columns 3 and 8 are used, as they always are, for across-track sampling. Again these values are to be interpreted counting in the direction of the scan, from 1 through 10 inclusively. For example, if the value of attribute Cell_Along_Swath_Sampling is 3, 2028, 5, then the third and eighth pixel rows were used for subsampling. A value of 4, 2029, 5 indicates that the default fourth and ninth rows pair was used.
    • source_info: MYD06_L2.A2015057.1445.061.2018048095753.hdf pge06v6.1.4 Cloud_Effective_Radius_1621
    • scale_factor: 0.0099999997764825821
    • add_offset: 0.0000000000000000
Cloud_Water_Path_1621[ Cell_Along_Swath_5km= 0 ..405] [ Cell_Across_Swath_5km= 0 ..270] (Type is Int16)
  • attributes
    • coordinates: Latitude Longitude
    • long_name: Column Water Path two-channel retrieval using band 7(2.1um) and band 6(1.6um)from best points: not failed in any way, not marked for clear sky restoral
    • units: g/m^2
    • valid_range: 0, 10000
    • _FillValue: -9999
    • Parameter_Type: Output
    • Cell_Along_Swath_Sampling: 4, 2029, 5
    • Cell_Across_Swath_Sampling: 3, 1348, 5
    • Geolocation_Pointer: External MODIS geolocation product
    • _1_km_to_5_km_subsampling_description: Each value in this dataset does not represent an average of properties over a 5 x 5 km grid box, but rather a single sample from within each 5 km box. Normally, pixels in across-track rows 4 and 9 (counting in the direction of increasing scan number) out of every set of 10 rows are used for subsampling the 1 km retrievals to a 5 km resolution. If the array contents are determined to be all fill values after selecting the default pixel subset (e.g., from failed detectors), a different pair of pixel rows is used to perform the subsampling. Note that 5 km data sets are centered on rows 3 and 8; the default sampling choice of 4 and 9 is for better data quality and avoidance of dead detectors on Aqua. The row pair used for the 1 km sample is always given by the first number and last digit of the second number of the attribute Cell_Along_Swath_Sampling. The attribute Cell_Across_Swath_Sampling indicates that columns 3 and 8 are used, as they always are, for across-track sampling. Again these values are to be interpreted counting in the direction of the scan, from 1 through 10 inclusively. For example, if the value of attribute Cell_Along_Swath_Sampling is 3, 2028, 5, then the third and eighth pixel rows were used for subsampling. A value of 4, 2029, 5 indicates that the default fourth and ninth rows pair was used.
    • source_info: MYD06_L2.A2015057.1445.061.2018048095753.hdf pge06v6.1.4 Cloud_Water_Path_1621
    • scale_factor: 1.0000000000000000
    • add_offset: 0.0000000000000000
Cloud_Optical_Thickness_Uncertainty[ Cell_Along_Swath_5km= 0 ..405] [ Cell_Across_Swath_5km= 0 ..270] (Type is Int16)
  • attributes
    • coordinates: Latitude Longitude
    • long_name: Cloud Optical Thickness Relative Uncertainty (Percent)from both best points and points identified as cloud edge at 1km resolution or partly cloudy at 250m based on the Cloud_Optical_Thickness and Cloud_Effective_Radius results
    • units: percent
    • valid_range: 0, 20000
    • _FillValue: -9999
    • Parameter_Type: Output
    • Cell_Along_Swath_Sampling: 4, 2029, 5
    • Cell_Across_Swath_Sampling: 3, 1348, 5
    • Geolocation_Pointer: External MODIS geolocation product
    • _1_km_to_5_km_subsampling_description: Each value in this dataset does not represent an average of properties over a 5 x 5 km grid box, but rather a single sample from within each 5 km box. Normally, pixels in across-track rows 4 and 9 (counting in the direction of increasing scan number) out of every set of 10 rows are used for subsampling the 1 km retrievals to a 5 km resolution. If the array contents are determined to be all fill values after selecting the default pixel subset (e.g., from failed detectors), a different pair of pixel rows is used to perform the subsampling. Note that 5 km data sets are centered on rows 3 and 8; the default sampling choice of 4 and 9 is for better data quality and avoidance of dead detectors on Aqua. The row pair used for the 1 km sample is always given by the first number and last digit of the second number of the attribute Cell_Along_Swath_Sampling. The attribute Cell_Across_Swath_Sampling indicates that columns 3 and 8 are used, as they always are, for across-track sampling. Again these values are to be interpreted counting in the direction of the scan, from 1 through 10 inclusively. For example, if the value of attribute Cell_Along_Swath_Sampling is 3, 2028, 5, then the third and eighth pixel rows were used for subsampling. A value of 4, 2029, 5 indicates that the default fourth and ninth rows pair was used.
    • source_info: MYD06_L2.A2015057.1445.061.2018048095753.hdf pge06v6.1.4 Cloud_Optical_Thickness_Uncertainty
    • scale_factor: 0.0099999997764825821
    • add_offset: 0.0000000000000000
Cloud_Effective_Radius_Uncertainty[ Cell_Along_Swath_5km= 0 ..405] [ Cell_Across_Swath_5km= 0 ..270] (Type is Int16)
  • attributes
    • coordinates: Latitude Longitude
    • long_name: Cloud Effective Particle Radius (from band 7(2.1um)) Relative Uncertainty (Percent)from both best points and points identified as cloud edge at 1km resolution or partly cloudy at 250m
    • units: percent
    • valid_range: 0, 20000
    • _FillValue: -9999
    • Parameter_Type: Output
    • Cell_Along_Swath_Sampling: 4, 2029, 5
    • Cell_Across_Swath_Sampling: 3, 1348, 5
    • Geolocation_Pointer: External MODIS geolocation product
    • _1_km_to_5_km_subsampling_description: Each value in this dataset does not represent an average of properties over a 5 x 5 km grid box, but rather a single sample from within each 5 km box. Normally, pixels in across-track rows 4 and 9 (counting in the direction of increasing scan number) out of every set of 10 rows are used for subsampling the 1 km retrievals to a 5 km resolution. If the array contents are determined to be all fill values after selecting the default pixel subset (e.g., from failed detectors), a different pair of pixel rows is used to perform the subsampling. Note that 5 km data sets are centered on rows 3 and 8; the default sampling choice of 4 and 9 is for better data quality and avoidance of dead detectors on Aqua. The row pair used for the 1 km sample is always given by the first number and last digit of the second number of the attribute Cell_Along_Swath_Sampling. The attribute Cell_Across_Swath_Sampling indicates that columns 3 and 8 are used, as they always are, for across-track sampling. Again these values are to be interpreted counting in the direction of the scan, from 1 through 10 inclusively. For example, if the value of attribute Cell_Along_Swath_Sampling is 3, 2028, 5, then the third and eighth pixel rows were used for subsampling. A value of 4, 2029, 5 indicates that the default fourth and ninth rows pair was used.
    • source_info: MYD06_L2.A2015057.1445.061.2018048095753.hdf pge06v6.1.4 Cloud_Effective_Radius_Uncertainty
    • scale_factor: 0.0099999997764825821
    • add_offset: 0.0000000000000000
Cloud_Water_Path_Uncertainty[ Cell_Along_Swath_5km= 0 ..405] [ Cell_Across_Swath_5km= 0 ..270] (Type is Int16)
  • attributes
    • coordinates: Latitude Longitude
    • long_name: Cloud Water Path Relative Uncertainty (Percent)from both best points and points identified as cloud edge at 1km resolution or partly cloudy at 250m based on the Cloud_Water_Path result
    • units: percent
    • valid_range: 0, 20000
    • _FillValue: -9999
    • Parameter_Type: Output
    • Cell_Along_Swath_Sampling: 4, 2029, 5
    • Cell_Across_Swath_Sampling: 3, 1348, 5
    • Geolocation_Pointer: External MODIS geolocation product
    • _1_km_to_5_km_subsampling_description: Each value in this dataset does not represent an average of properties over a 5 x 5 km grid box, but rather a single sample from within each 5 km box. Normally, pixels in across-track rows 4 and 9 (counting in the direction of increasing scan number) out of every set of 10 rows are used for subsampling the 1 km retrievals to a 5 km resolution. If the array contents are determined to be all fill values after selecting the default pixel subset (e.g., from failed detectors), a different pair of pixel rows is used to perform the subsampling. Note that 5 km data sets are centered on rows 3 and 8; the default sampling choice of 4 and 9 is for better data quality and avoidance of dead detectors on Aqua. The row pair used for the 1 km sample is always given by the first number and last digit of the second number of the attribute Cell_Along_Swath_Sampling. The attribute Cell_Across_Swath_Sampling indicates that columns 3 and 8 are used, as they always are, for across-track sampling. Again these values are to be interpreted counting in the direction of the scan, from 1 through 10 inclusively. For example, if the value of attribute Cell_Along_Swath_Sampling is 3, 2028, 5, then the third and eighth pixel rows were used for subsampling. A value of 4, 2029, 5 indicates that the default fourth and ninth rows pair was used.
    • source_info: MYD06_L2.A2015057.1445.061.2018048095753.hdf pge06v6.1.4 Cloud_Water_Path_Uncertainty
    • scale_factor: 0.0099999997764825821
    • add_offset: 0.0000000000000000
Cloud_Optical_Thickness_Uncertainty_1621[ Cell_Along_Swath_5km= 0 ..405] [ Cell_Across_Swath_5km= 0 ..270] (Type is Int16)
  • attributes
    • coordinates: Latitude Longitude
    • long_name: Cloud Optical Thickness Relative Uncertainty (Percent) using band 7(2.1um) and band 6(1.6um)from both best points and points identified as cloud edge at 1km resolution or partly cloudy at 250m
    • units: percent
    • valid_range: 0, 20000
    • _FillValue: -9999
    • Parameter_Type: Output
    • Cell_Along_Swath_Sampling: 4, 2029, 5
    • Cell_Across_Swath_Sampling: 3, 1348, 5
    • Geolocation_Pointer: External MODIS geolocation product
    • _1_km_to_5_km_subsampling_description: Each value in this dataset does not represent an average of properties over a 5 x 5 km grid box, but rather a single sample from within each 5 km box. Normally, pixels in across-track rows 4 and 9 (counting in the direction of increasing scan number) out of every set of 10 rows are used for subsampling the 1 km retrievals to a 5 km resolution. If the array contents are determined to be all fill values after selecting the default pixel subset (e.g., from failed detectors), a different pair of pixel rows is used to perform the subsampling. Note that 5 km data sets are centered on rows 3 and 8; the default sampling choice of 4 and 9 is for better data quality and avoidance of dead detectors on Aqua. The row pair used for the 1 km sample is always given by the first number and last digit of the second number of the attribute Cell_Along_Swath_Sampling. The attribute Cell_Across_Swath_Sampling indicates that columns 3 and 8 are used, as they always are, for across-track sampling. Again these values are to be interpreted counting in the direction of the scan, from 1 through 10 inclusively. For example, if the value of attribute Cell_Along_Swath_Sampling is 3, 2028, 5, then the third and eighth pixel rows were used for subsampling. A value of 4, 2029, 5 indicates that the default fourth and ninth rows pair was used.
    • source_info: MYD06_L2.A2015057.1445.061.2018048095753.hdf pge06v6.1.4 Cloud_Optical_Thickness_Uncertainty_1621
    • scale_factor: 0.0099999997764825821
    • add_offset: 0.0000000000000000
Cloud_Effective_Radius_Uncertainty_1621[ Cell_Along_Swath_5km= 0 ..405] [ Cell_Across_Swath_5km= 0 ..270] (Type is Int16)
  • attributes
    • coordinates: Latitude Longitude
    • long_name: Cloud Effective Particle Radius Relative Uncertainty (Percent) using band 7(2.1um) and band 6(1.6um)from both best points and points identified as cloud edge at 1km resolution or partly cloudy at 250m
    • units: percent
    • valid_range: 0, 20000
    • _FillValue: -9999
    • Parameter_Type: Output
    • Cell_Along_Swath_Sampling: 4, 2029, 5
    • Cell_Across_Swath_Sampling: 3, 1348, 5
    • Geolocation_Pointer: External MODIS geolocation product
    • _1_km_to_5_km_subsampling_description: Each value in this dataset does not represent an average of properties over a 5 x 5 km grid box, but rather a single sample from within each 5 km box. Normally, pixels in across-track rows 4 and 9 (counting in the direction of increasing scan number) out of every set of 10 rows are used for subsampling the 1 km retrievals to a 5 km resolution. If the array contents are determined to be all fill values after selecting the default pixel subset (e.g., from failed detectors), a different pair of pixel rows is used to perform the subsampling. Note that 5 km data sets are centered on rows 3 and 8; the default sampling choice of 4 and 9 is for better data quality and avoidance of dead detectors on Aqua. The row pair used for the 1 km sample is always given by the first number and last digit of the second number of the attribute Cell_Along_Swath_Sampling. The attribute Cell_Across_Swath_Sampling indicates that columns 3 and 8 are used, as they always are, for across-track sampling. Again these values are to be interpreted counting in the direction of the scan, from 1 through 10 inclusively. For example, if the value of attribute Cell_Along_Swath_Sampling is 3, 2028, 5, then the third and eighth pixel rows were used for subsampling. A value of 4, 2029, 5 indicates that the default fourth and ninth rows pair was used.
    • source_info: MYD06_L2.A2015057.1445.061.2018048095753.hdf pge06v6.1.4 Cloud_Effective_Radius_Uncertainty_1621
    • scale_factor: 0.0099999997764825821
    • add_offset: 0.0000000000000000
Cloud_Water_Path_Uncertainty_1621[ Cell_Along_Swath_5km= 0 ..405] [ Cell_Across_Swath_5km= 0 ..270] (Type is Int16)
  • attributes
    • coordinates: Latitude Longitude
    • long_name: Cloud Water Path Relative Uncertainty (Percent) using band 7(2.1um) and band 6(1.6um)from both best points and points identified as cloud edge at 1km resolution or partly cloudy at 250m
    • units: percent
    • valid_range: 0, 20000
    • _FillValue: -9999
    • Parameter_Type: Output
    • Cell_Along_Swath_Sampling: 4, 2029, 5
    • Cell_Across_Swath_Sampling: 3, 1348, 5
    • Geolocation_Pointer: External MODIS geolocation product
    • _1_km_to_5_km_subsampling_description: Each value in this dataset does not represent an average of properties over a 5 x 5 km grid box, but rather a single sample from within each 5 km box. Normally, pixels in across-track rows 4 and 9 (counting in the direction of increasing scan number) out of every set of 10 rows are used for subsampling the 1 km retrievals to a 5 km resolution. If the array contents are determined to be all fill values after selecting the default pixel subset (e.g., from failed detectors), a different pair of pixel rows is used to perform the subsampling. Note that 5 km data sets are centered on rows 3 and 8; the default sampling choice of 4 and 9 is for better data quality and avoidance of dead detectors on Aqua. The row pair used for the 1 km sample is always given by the first number and last digit of the second number of the attribute Cell_Along_Swath_Sampling. The attribute Cell_Across_Swath_Sampling indicates that columns 3 and 8 are used, as they always are, for across-track sampling. Again these values are to be interpreted counting in the direction of the scan, from 1 through 10 inclusively. For example, if the value of attribute Cell_Along_Swath_Sampling is 3, 2028, 5, then the third and eighth pixel rows were used for subsampling. A value of 4, 2029, 5 indicates that the default fourth and ninth rows pair was used.
    • source_info: MYD06_L2.A2015057.1445.061.2018048095753.hdf pge06v6.1.4 Cloud_Water_Path_Uncertainty_1621
    • scale_factor: 0.0099999997764825821
    • add_offset: 0.0000000000000000
Cloud_Phase_Optical_Properties[ Cell_Along_Swath_5km= 0 ..405] [ Cell_Across_Swath_5km= 0 ..270] (Type is Int32)
  • attributes
    • coordinates: Latitude Longitude
    • long_name: Cloud Phase Determination Used in Optical Thickness/Effective Radius Retrieval
    • units: none
    • valid_range: 0, 4
    • _FillValue: 0
    • Parameter_Type: Output
    • Cell_Along_Swath_Sampling: 4, 2029, 5
    • Cell_Across_Swath_Sampling: 3, 1348, 5
    • Geolocation_Pointer: External MODIS geolocation product
    • description: \n The values in this SDS are set to mean the following: 0 -- cloud mask undetermined 1 -- clear sky 2 -- liquid water cloud 3 -- ice cloud 4 -- undetermined phase cloud (but retrieval is attempted as liquid water
    • _1_km_to_5_km_subsampling_description: Each value in this dataset does not represent an average of properties over a 5 x 5 km grid box, but rather a single sample from within each 5 km box. Normally, pixels in across-track rows 4 and 9 (counting in the direction of increasing scan number) out of every set of 10 rows are used for subsampling the 1 km retrievals to a 5 km resolution. If the array contents are determined to be all fill values after selecting the default pixel subset (e.g., from failed detectors), a different pair of pixel rows is used to perform the subsampling. Note that 5 km data sets are centered on rows 3 and 8; the default sampling choice of 4 and 9 is for better data quality and avoidance of dead detectors on Aqua. The row pair used for the 1 km sample is always given by the first number and last digit of the second number of the attribute Cell_Along_Swath_Sampling. The attribute Cell_Across_Swath_Sampling indicates that columns 3 and 8 are used, as they always are, for across-track sampling. Again these values are to be interpreted counting in the direction of the scan, from 1 through 10 inclusively. For example, if the value of attribute Cell_Along_Swath_Sampling is 3, 2028, 5, then the third and eighth pixel rows were used for subsampling. A value of 4, 2029, 5 indicates that the default fourth and ninth rows pair was used.
    • source_info: MYD06_L2.A2015057.1445.061.2018048095753.hdf pge06v6.1.4 Cloud_Phase_Optical_Properties
    • scale_factor: 1.0000000000000000
    • add_offset: 0.0000000000000000
Cloud_Phase_Infrared[ Cell_Along_Swath_5km= 0 ..405] [ Cell_Across_Swath_5km= 0 ..270] (Type is Int32)
  • attributes
    • coordinates: Latitude Longitude
    • long_name: Cloud Phase from 8.5 and 11 um Bands
    • units: none
    • valid_range: 0, 6
    • _FillValue: 127
    • Parameter_Type: Output
    • Cell_Along_Swath_Sampling: 3, 2028, 5
    • Cell_Across_Swath_Sampling: 3, 1348, 5
    • Geolocation_Pointer: Internal geolocation arrays
    • source_info: MYD06_L2.A2015057.1445.061.2018048095753.hdf pge06v6.1.4 Cloud_Phase_Infrared
    • scale_factor: 1.0000000000000000
    • add_offset: 0.0000000000000000
Cloud_Quality_Assurance[ Cell_Along_Swath_5km= 0 ..405] [ Cell_Across_Swath_5km= 0 ..270] [ QA_Parameter_5km= 0 ..8] (Type is Int32)
  • attributes
    • coordinates: Latitude Longitude QA_Parameter_5km
    • long_name: Cloud Quality Assurance at 5km Resolution
    • units: none
    • valid_range: 0, -1
    • _FillValue: 0
    • Parameter_Type: Output
    • Cell_Along_Swath_Sampling: 4, 2029, 5
    • Cell_Across_Swath_Sampling: 3, 1348, 5
    • Geolocation_Pointer: External MODIS geolocation product
    • description: \n Quality Assurance 1km reports on Cloud Optical Properties algorithm performance. Refer to MOD_PR06OD User Documentation and the MODIS atmosphere QA plan for complete descriptions and coding examples. Bit fields within each byte are numbered from the left: 7, 6, 5, 4, 3, 2, 1, 0. The left-most bit (bit 7) is the most significant bit. The right-most bit (bit 0) is the least significant bit. Byte 0 ----------------------------------------------------------------- 0 VNSWIR-2.1 Optical Thickness General QA 0 = Not Useful 1 = Useful 2,1 VNSWIR-2.1 Optical Thickness Confidence QA 00 = No confidence 01 = Marginal 10 = Good 11 = Very Good 4,3 Surface type used by the OD code 00 = ice-free ocean 01 = ice covered ocean 10 = snow-free land 11 = snow covered land 5 VNSWIR-2.1 Effective Radius General QA 0 = Not Useful 1 = Useful 7,6 VNSWIR-2.1 Effective Radius Confidence QA 00 = No confidence 01 = Marginal 10 = Good 11 = Very Good Byte 1 ----------------------------------------------------------------- 0 VNSWIR-2.1 Liquid Water Path General QA 0 = Not Useful 1 = Useful 2,1 VNSWIR-2.1 Liquid Water Path Confidence QA 00 = No confidence 01 = Marginal 10 = Good 11 = Very Good 5,4,3 Retrieval Phase 000 = No Cloud Mask 001 = No Cloud 010 = Water Cloud 011 = Ice Cloud 100 = Unknown Cloud 6 1.6- 2.1 Retrieval Outcome 0 = Failed/No attempt 1 = Successful Byte 2 ----------------------------------------------------------------- 2,1,0 Retrieval Phase 000 = No Cloud Mask 001 = No Cloud 010 = Water Cloud 011 = Ice Cloud 100 = Unknown Cloud 3 VNSWIR- 2.1 Retrieval Outcome 0 = Failed/No attempt 1 = Successful 4 Rayleigh Correction 0 = No Correction 1 = Correction 5 Water Vapor Correction 0 = No Correction 1 = Correction 7,6 Band Used for Optical Thickness Retrieval 00 = No attempt 01 = .645 micron 10 = .858 micron 11 = 1.24 micron Byte 3 ----------------------------------------------------------------- 0 Optical Thickness 1.6-2.1 General QA 0 = Not Useful 1 = Useful 2,1 Optical Thickness 1.6-2.1 Condifence QA 00 = No confidence 01 = Marginal 10 = Good 11 = Very Good 3 Effective Radius 1.6-2.1 General QA 0 = Not Useful 1 = Useful 5,4 Effective Radius 1.6-2.1 Confidence QA 00 = No confidence 01 = Marginal 10 = Good 11 = Very Good 7,6 Clear Sky Restoral Type QA 00 = Not Restored 01 = Restored Via Edge detection 10 = Restored Via Spatial Variance 11 = Restored Via 250m Tests Byte 4 ----------------------------------------------------------------- 0 Water Path 1.6-2.1 General QA 0 = Not Useful 1 = Useful 2,1 Water Path 1.6-2.1 Confidence QA 00 = No confidence 01 = Marginal 10 = Good 11 = Very Good 5,4,3 Multi Layer Cloud Flag 000 = Cloud Mask Undet 001 = Decision tree stop 010 = single layer: water 011 = multi layer: water 100 = single layer: ice 101 = multi layer: ice 110 = single layer: unknown 111 = multi layer: unknown 7,6 spare Byte 5 ----------------------------------------------------------------- 0 Phase difference multilayer test result 1 Delta precipitable water multilayer test result 2 Delta precipitable water at 900mb multilayer test result 3 Tau difference VNSWIR-SWIR multilayer test result 4 Pavolonis-Heidinger multilayer test result 7,6,5 spare Byte 6 ----------------------------------------------------------------- 2,1,0 Retrieval Phase 000 = No Cloud Mask 001 = No Cloud 010 = Water Cloud 011 = Ice Cloud 100 = Unknown Cloud 3 VNSWIR- 1.6 Retrieval Outcome 0 = Failed/No attempt 1 = Successful 6,5,4 Retrieval Phase 000 = No Cloud Mask 001 = No Cloud 010 = Water Cloud 011 = Ice Cloud 100 = Unknown Cloud 7 VNSWIR- 1.6 PCL Retrieval Outcome 0 = Failed/No attempt 1 = Successful Byte 7 ----------------------------------------------------------------- 2,1,0 Retrieval Phase 000 = No Cloud Mask 001 = No Cloud 010 = Water Cloud 011 = Ice Cloud 100 = Unknown Cloud 3 VNSWIR- 3.7 Retrieval Outcome 0 = Failed/No attempt 1 = Successful 6,5,4 Retrieval Phase 000 = No Cloud Mask 001 = No Cloud 010 = Water Cloud 011 = Ice Cloud 100 = Unknown Cloud 7 VNSWIR- 3.7 PCL Retrieval Outcome 0 = Failed/No attempt 1 = Successful Byte 8 ----------------------------------------------------------------- 2,1,0 Retrieval Phase 000 = No Cloud Mask 001 = No Cloud 010 = Water Cloud 011 = Ice Cloud 100 = Unknown Cloud 3 1.6- 2.1 PCL Retrieval Outcome 0 = Failed/No attempt 1 = Successful 6,5,4 Retrieval Phase 000 = No Cloud Mask 001 = No Cloud 010 = Water Cloud 011 = Ice Cloud 100 = Unknown Cloud 7 VNSWIR- 2.1 PCL Retrieval Outcome 0 = Failed/No attempt 1 = Successful
    • _1_km_to_5_km_subsampling_description: Each value in this dataset does not represent an average of properties over a 5 x 5 km grid box, but rather a single sample from within each 5 km box. Normally, pixels in across-track rows 4 and 9 (counting in the direction of increasing scan number) out of every set of 10 rows are used for subsampling the 1 km retrievals to a 5 km resolution. If the array contents are determined to be all fill values after selecting the default pixel subset (e.g., from failed detectors), a different pair of pixel rows is used to perform the subsampling. Note that 5 km data sets are centered on rows 3 and 8; the default sampling choice of 4 and 9 is for better data quality and avoidance of dead detectors on Aqua. The row pair used for the 1 km sample is always given by the first number and last digit of the second number of the attribute Cell_Along_Swath_Sampling. The attribute Cell_Across_Swath_Sampling indicates that columns 3 and 8 are used, as they always are, for across-track sampling. Again these values are to be interpreted counting in the direction of the scan, from 1 through 10 inclusively. For example, if the value of attribute Cell_Along_Swath_Sampling is 3, 2028, 5, then the third and eighth pixel rows were used for subsampling. A value of 4, 2029, 5 indicates that the default fourth and ninth rows pair was used.
    • source_info: MYD06_L2.A2015057.1445.061.2018048095753.hdf pge06v6.1.4 Quality_Assurance_1km
    • scale_factor: 1.0000000000000000
    • add_offset: 0.0000000000000000
Cirrus_Reflectance[ Cell_Along_Swath_5km= 0 ..405] [ Cell_Across_Swath_5km= 0 ..270] (Type is Int16)
  • attributes
    • coordinates: Latitude Longitude
    • long_name: Cirrus Reflectance
    • units: none
    • valid_range: 0, 8000
    • _FillValue: -9999
    • Parameter_Type: Output
    • Cell_Along_Swath_Sampling: 4, 2029, 5
    • Cell_Across_Swath_Sampling: 3, 1348, 5
    • Geolocation_Pointer: External MODIS geolocation product
    • _1_km_to_5_km_subsampling_description: Each value in this dataset does not represent an average of properties over a 5 x 5 km grid box, but rather a single sample from within each 5 km box. Normally, pixels in across-track rows 4 and 9 (counting in the direction of increasing scan number) out of every set of 10 rows are used for subsampling the 1 km retrievals to a 5 km resolution. If the array contents are determined to be all fill values after selecting the default pixel subset (e.g., from failed detectors), a different pair of pixel rows is used to perform the subsampling. Note that 5 km data sets are centered on rows 3 and 8; the default sampling choice of 4 and 9 is for better data quality and avoidance of dead detectors on Aqua. The row pair used for the 1 km sample is always given by the first number and last digit of the second number of the attribute Cell_Along_Swath_Sampling. The attribute Cell_Across_Swath_Sampling indicates that columns 3 and 8 are used, as they always are, for across-track sampling. Again these values are to be interpreted counting in the direction of the scan, from 1 through 10 inclusively. For example, if the value of attribute Cell_Along_Swath_Sampling is 3, 2028, 5, then the third and eighth pixel rows were used for subsampling. A value of 4, 2029, 5 indicates that the default fourth and ninth rows pair was used.
    • source_info: MYD06_L2.A2015057.1445.061.2018048095753.hdf pge06v6.1.4 Cirrus_Reflectance
    • scale_factor: 0.00019999999494757503
    • add_offset: 0.0000000000000000
Cloud_Top_Pressure[ Cell_Along_Swath_5km= 0 ..405] [ Cell_Across_Swath_5km= 0 ..270] (Type is Int16)
  • attributes
    • coordinates: Latitude Longitude
    • long_name: Cloud Top Pressure Level (rounded to nearest 5 mb)
    • units: hPa
    • valid_range: 10, 11000
    • _FillValue: -32768
    • Parameter_Type: Output
    • Cell_Along_Swath_Sampling: 3, 2028, 5
    • Cell_Across_Swath_Sampling: 3, 1348, 5
    • Geolocation_Pointer: Internal geolocation arrays
    • source_info: MYD06_L2.A2015057.1445.061.2018048095753.hdf pge06v6.1.4 Cloud_Top_Pressure
    • scale_factor: 0.10000000149011612
    • add_offset: 0.0000000000000000
Cloud_Top_Temperature[ Cell_Along_Swath_5km= 0 ..405] [ Cell_Across_Swath_5km= 0 ..270] (Type is Int16)
  • attributes
    • coordinates: Latitude Longitude
    • long_name: Temperature from Ancillary Data at Retrieved Cloud Top Pressure Level
    • units: K
    • valid_range: 0, 20000
    • _FillValue: -32768
    • Parameter_Type: Output
    • Cell_Along_Swath_Sampling: 3, 2028, 5
    • Cell_Across_Swath_Sampling: 3, 1348, 5
    • Geolocation_Pointer: Internal geolocation arrays
    • source_info: MYD06_L2.A2015057.1445.061.2018048095753.hdf pge06v6.1.4 Cloud_Top_Temperature
    • scale_factor: 0.0099999997764825821
    • add_offset: 150.00000000000000
Cloud_Fraction[ Cell_Along_Swath_5km= 0 ..405] [ Cell_Across_Swath_5km= 0 ..270] (Type is Int32)
  • attributes
    • coordinates: Latitude Longitude
    • long_name: Cloud Fraction in Retrieval Region (5x5 1-km Pixels) from 1-km Cloud Mask
    • units: none
    • valid_range: 0, 100
    • _FillValue: 127
    • Parameter_Type: Output
    • Cell_Along_Swath_Sampling: 3, 2028, 5
    • Cell_Across_Swath_Sampling: 3, 1348, 5
    • Geolocation_Pointer: Internal geolocation arrays
    • source_info: MYD06_L2.A2015057.1445.061.2018048095753.hdf pge06v6.1.4 Cloud_Fraction
    • scale_factor: 0.0099999997764825821
    • add_offset: 0.0000000000000000
Precipitable_Water_Infrared_ClearSky[ Cell_Along_Swath_5km= 0 ..405] [ Cell_Across_Swath_5km= 0 ..270] (Type is Int16)
  • attributes
    • coordinates: Latitude Longitude
    • long_name: Total Column Precipitable Water Vapor - IR Clear Retrieval
    • units: cm
    • valid_range: 0, 20000
    • _FillValue: -9999
    • Parameter_Type: Output
    • Cell_Along_Swath_Sampling: 3, 2028, 5
    • Cell_Across_Swath_Sampling: 3, 1348, 5
    • Geolocation_Pointer: Internal geolocation arrays
    • source_info: MYD07_L2.A2015057.1445.061.2018046125252.hdf pge03v6.1.1 Water_Vapor
    • scale_factor: 0.0010000000474974513
    • add_offset: 0.0000000000000000
Cloud_Mask[ Byte_Segment= 0 ..0] [ Cell_Along_Swath_5km= 0 ..405] [ Cell_Across_Swath_5km= 0 ..270] (Type is Int32)
  • attributes
    • coordinates: Byte_Segment Latitude Longitude
    • long_name: MODIS Cloud Mask
    • units: none
    • valid_range: 0, -1
    • _FillValue: 0
    • Parameter_Type: Output
    • Cell_Along_Swath_Sampling: 4, 2029, 5
    • Cell_Across_Swath_Sampling: 3, 1348, 5
    • Geolocation_Pointer: External MODIS geolocation product
    • description: \n Bit fields within each byte are numbered from the left: 7, 6, 5, 4, 3, 2, 1, 0. The left-most bit (bit 7) is the most significant bit. The right-most bit (bit 0) is the least significant bit. bit field Description Key --------- ----------- --- 0 Cloud Mask Flag 0 = Not determined 1 = Determined 2, 1 Unobstructed FOV Quality Flag 00 = Cloudy 01 = Uncertain 10 = Probably Clear 11 = Confident Clear PROCESSING PATH --------------- 3 Day or Night Path 0 = Night / 1 = Day 4 Sunglint Path 0 = Yes / 1 = No 5 Snow/Ice Background Path 0 = Yes / 1 = No 7, 6 Land or Water Path 00 = Water 01 = Coastal 10 = Desert 11 = Land
    • _1_km_to_5_km_subsampling_description: Each value in this dataset does not represent an average of properties over a 5 x 5 km grid box, but rather a single sample from within each 5 km box. Normally, pixels in across-track rows 4 and 9 (counting in the direction of increasing scan number) out of every set of 10 rows are used for subsampling the 1 km retrievals to a 5 km resolution. If the array contents are determined to be all fill values after selecting the default pixel subset (e.g., from failed detectors), a different pair of pixel rows is used to perform the subsampling. Note that 5 km data sets are centered on rows 3 and 8; the default sampling choice of 4 and 9 is for better data quality and avoidance of dead detectors on Aqua. The row pair used for the 1 km sample is always given by the first number and last digit of the second number of the attribute Cell_Along_Swath_Sampling. The attribute Cell_Across_Swath_Sampling indicates that columns 3 and 8 are used, as they always are, for across-track sampling. Again these values are to be interpreted counting in the direction of the scan, from 1 through 10 inclusively. For example, if the value of attribute Cell_Along_Swath_Sampling is 3, 2028, 5, then the third and eighth pixel rows were used for subsampling. A value of 4, 2029, 5 indicates that the default fourth and ninth rows pair was used.
    • source_info: MYD35_L2.A2015057.1445.061.2018046125230.hdf pge03v6.1.1 Cloud_Mask
    • scale_factor: 1.0000000000000000
    • add_offset: 0.0000000000000000
Solar_Zenith_10km[ Cell_Along_Swath_10km= 0 ..202] [ Cell_Across_Swath_10km= 0 ..134] (Type is Int16)
  • attributes
    • coordinates: Latitude_10km Longitude_10km
    • long_name: Solar Zenith Angle, Cell to Sun at 10km Resolution
    • units: Degrees
    • valid_range: 0, 18000
    • _FillValue: -9999
    • Parameter_Type: MODIS Input
    • Cell_Along_Swath_Sampling: 1, 2021, 10
    • Cell_Across_Swath_Sampling: 1, 1345, 10
    • Geolocation_Pointer: Internal geolocation arrays
    • source_info: MYD04_L2.A2015057.1445.061.2018048093120.hdf pge04v04 Solar_Zenith
    • scale_factor: 0.0099999997764825821
    • add_offset: 0.0000000000000000
Viewing_Zenith_10km[ Cell_Along_Swath_10km= 0 ..202] [ Cell_Across_Swath_10km= 0 ..134] (Type is Int16)
  • attributes
    • coordinates: Latitude_10km Longitude_10km
    • long_name: Viewing_Zenith Angle, Cell to Viewing at 10km Resolution
    • units: Degrees
    • valid_range: 0, 18000
    • _FillValue: -9999
    • Parameter_Type: MODIS Input
    • Cell_Along_Swath_Sampling: 1, 2021, 10
    • Cell_Across_Swath_Sampling: 1, 1354, 10
    • Geolocation_Pointer: Internal geolocation arrays
    • source_info: MYD04_L2.A2015057.1445.061.2018048093120.hdf pge04v04 Sensor_Zenith
    • scale_factor: 0.0099999997764825821
    • add_offset: 0.0000000000000000
Relative_Azimuth_10km[ Cell_Along_Swath_10km= 0 ..202] [ Cell_Across_Swath_10km= 0 ..134] (Type is Int16)
  • attributes
    • coordinates: Latitude_10km Longitude_10km
    • long_name: Relative Azimuth ( RA = abs(180-abs(snsr_az-slr_az)) ) at 10km Resolution
    • units: Degrees
    • valid_range: -18000, 18000
    • _FillValue: -9999
    • Parameter_Type: Output
    • Cell_Along_Swath_Sampling: 1, 2021, 10
    • Cell_Across_Swath_Sampling: 1, 1345, 10
    • Geolocation_Pointer: Internal geolocation arrays
    • source_info: MYD04_L2.A2015057.1445.061.2018048093120.hdf pge04v04 Sensor_Azimuth Solar_Azimuth for each pixel: RA = abs(180-abs(snsr_az-slr_az))
    • scale_factor: 0.0099999997764825821
    • add_offset: 0.0000000000000000
Aerosol_Optical_Depth[ Cell_Along_Swath_10km= 0 ..202] [ Cell_Across_Swath_10km= 0 ..134] (Type is Int16)
  • attributes
    • coordinates: Latitude_10km Longitude_10km
    • long_name: AOT at 0.55 micron for both ocean (Average) (Quality flag=1,2,3) and land (corrected) (Quality flag=3)
    • units: None
    • valid_range: -100, 5000
    • _FillValue: -9999
    • Parameter_Type: Output
    • Cell_Along_Swath_Sampling: 1, 2021, 10
    • Cell_Across_Swath_Sampling: 1, 1354, 10
    • Geolocation_Pointer: Internal geolocation arrays
    • source_info: MYD04_L2.A2015057.1445.061.2018048093120.hdf pge04v04 Optical_Depth_Land_And_Ocean
    • scale_factor: 0.0010000000474974513
    • add_offset: 0.0000000000000000
Deep_Blue_Aerosol_Optical_Depth_550_Land[ Cell_Along_Swath_10km= 0 ..202] [ Cell_Across_Swath_10km= 0 ..134] (Type is Int16)
  • attributes
    • coordinates: Latitude_10km Longitude_10km
    • long_name: AOT at 0.55 micron for land with all quality data (Quality flag=1,2,3)
    • units: None
    • valid_range: 0, 5000
    • _FillValue: -9999
    • Parameter_Type: Output
    • Cell_Along_Swath_Sampling: 1, 2021, 10
    • Cell_Across_Swath_Sampling: 1, 1354, 10
    • Geolocation_Pointer: Internal geolocation arrays
    • source_info: MYD04_L2.A2015057.1445.061.2018048093120.hdf pge04v04 Deep_Blue_Aerosol_Optical_Depth_550_Land
    • scale_factor: 0.0010000000474974513
    • add_offset: 0.0000000000000000
Deep_Blue_Angstrom_Exponent_Land[ Cell_Along_Swath_10km= 0 ..202] [ Cell_Across_Swath_10km= 0 ..134] (Type is Int16)
  • attributes
    • coordinates: Latitude_10km Longitude_10km
    • long_name: Deep Blue Angstrom Exponent for land (between 412/470 nm for bright surfaces, 470/650 nm for vegetated surfaces) with all quality data (Quality flag=1,2,3)
    • units: None
    • valid_range: -500, 5000
    • _FillValue: -9999
    • Parameter_Type: Output
    • Cell_Along_Swath_Sampling: 1, 2021, 10
    • Cell_Across_Swath_Sampling: 1, 1354, 10
    • Geolocation_Pointer: Internal geolocation arrays
    • source_info: MYD04_L2.A2015057.1445.061.2018048093120.hdf pge04v04 Deep_Blue_Angstrom_Exponent_Land
    • scale_factor: 0.0010000000474974513
    • add_offset: 0.0000000000000000
Total_Ozone[ Cell_Along_Swath_5km= 0 ..405] [ Cell_Across_Swath_5km= 0 ..270] (Type is Int16)
  • attributes
    • coordinates: Latitude Longitude
    • _FillValue: -32768
    • valid_range: 0, 5000
    • long_name: Total Ozone Burden
    • units: Dobson
    • Parameter_Type: Output
    • Cell_Along_Swath_Sampling: 3, 2028, 5
    • Cell_Across_Swath_Sampling: 3, 1348, 5
    • Geolocation_Pointer: Internal geolocation arrays
    • scale_factor: 0.10000000149011612
    • add_offset: 0.0000000000000000
Lifted_Index[ Cell_Along_Swath_5km= 0 ..405] [ Cell_Across_Swath_5km= 0 ..270] (Type is Int16)
  • attributes
    • coordinates: Latitude Longitude
    • _FillValue: -32768
    • valid_range: -2000, 4000
    • long_name: Lifted Index
    • units: K
    • Parameter_Type: Output
    • Cell_Along_Swath_Sampling: 3, 2028, 5
    • Cell_Across_Swath_Sampling: 3, 1348, 5
    • Geolocation_Pointer: Internal geolocation arrays
    • scale_factor: 0.0099999997764825821
    • add_offset: 0.0000000000000000
K_Index[ Cell_Along_Swath_5km= 0 ..405] [ Cell_Across_Swath_5km= 0 ..270] (Type is Int16)
  • attributes
    • coordinates: Latitude Longitude
    • _FillValue: -32768
    • valid_range: 11500, 20000
    • long_name: K_Index
    • units: K
    • Parameter_Type: Output
    • Cell_Along_Swath_Sampling: 3, 2028, 5
    • Cell_Across_Swath_Sampling: 3, 1348, 5
    • Geolocation_Pointer: Internal geolocation arrays
    • scale_factor: 0.0099999997764825821
    • add_offset: 150.00000000000000
Total_Totals_Index[ Cell_Along_Swath_5km= 0 ..405] [ Cell_Across_Swath_5km= 0 ..270] (Type is Int16)
  • attributes
    • coordinates: Latitude Longitude
    • _FillValue: -32768
    • valid_range: 0, 8000
    • long_name: Total Totals
    • units: K
    • Parameter_Type: Output
    • Cell_Along_Swath_Sampling: 3, 2028, 5
    • Cell_Across_Swath_Sampling: 3, 1348, 5
    • Geolocation_Pointer: Internal geolocation arrays
    • scale_factor: 0.0099999997764825821
    • add_offset: 0.0000000000000000
Aerosol_Angstrom_Exponent_Ocean[ Cell_Along_Swath_10km= 0 ..202] [ Cell_Across_Swath_10km= 0 ..134] (Type is Int16)
  • attributes
    • coordinates: Latitude_10km Longitude_10km
    • _FillValue: -9999
    • valid_range: -1000, 5000
    • long_name: Calculated Angstrom Exponent for 0.55 vs 0.86 micron for Average Solution
    • units: None
    • Parameter_Type: Output
    • Cell_Along_Swath_Sampling: 1, 2021, 10
    • Cell_Across_Swath_Sampling: 1, 1354, 10
    • Geolocation_Pointer: Internal geolocation arrays
    • scale_factor: 0.0010000000474974513
    • add_offset: 0.0000000000000000
Aerosol_Land_Sea_Flag[ Cell_Along_Swath_10km= 0 ..202] [ Cell_Across_Swath_10km= 0 ..134] (Type is Int16)
  • attributes
    • coordinates: Latitude_10km Longitude_10km
    • _FillValue: -9999
    • valid_range: 0, 1
    • long_name: Land_sea_Flag(based on MOD03 Landsea mask 0 = Ocean, 1 = Land and Ephemeral water 2 =Coastal)
    • units: None
    • Parameter_Type: Output
    • Cell_Along_Swath_Sampling: 1, 2021, 10
    • Cell_Across_Swath_Sampling: 1, 1354, 10
    • Geolocation_Pointer: Internal geolocation arrays
    • scale_factor: 1.0000000000000000
    • add_offset: 0.0000000000000000
Aerosol_Cloud_Pixel_Distance_Land_Ocean[ Cell_Along_Swath_10km= 0 ..202] [ Cell_Across_Swath_10km= 0 ..134] (Type is Int16)
  • attributes
    • coordinates: Latitude_10km Longitude_10km
    • _FillValue: -9999
    • valid_range: 0, 60
    • long_name: Average Distance (number of pixels) to nearest pixel identified as cloudy from each clear pixel used for Aerosol Retrieval in 10 km retrieval box
    • units: Number of pixels
    • Parameter_Type: Output
    • Cell_Along_Swath_Sampling: 1, 2021, 10
    • Cell_Across_Swath_Sampling: 1, 1354, 10
    • Geolocation_Pointer: Internal geolocation arrays
    • scale_factor: 1.0000000000000000
    • add_offset: 0.0000000000000000
Aerosol_Cloud_Fraction_Ocean[ Cell_Along_Swath_10km= 0 ..202] [ Cell_Across_Swath_10km= 0 ..134] (Type is Int16)
  • attributes
    • coordinates: Latitude_10km Longitude_10km
    • _FillValue: -9999
    • valid_range: 0, 1000
    • long_name: Cloud fraction from Land aerosol cloud mask from retrieved and overcast pixels not including cirrus mask
    • units: None
    • Parameter_Type: Output
    • Cell_Along_Swath_Sampling: 1, 2021, 10
    • Cell_Across_Swath_Sampling: 1, 1354, 10
    • Geolocation_Pointer: Internal geolocation arrays
    • scale_factor: 0.0010000000474974513
    • add_offset: 0.0000000000000000
Aerosol_Cloud_Fraction_Land[ Cell_Along_Swath_10km= 0 ..202] [ Cell_Across_Swath_10km= 0 ..134] (Type is Int16)
  • attributes
    • coordinates: Latitude_10km Longitude_10km
    • _FillValue: -9999
    • valid_range: 0, 1000
    • long_name: Cloud fraction from Land aerosol cloud mask from retrieved and overcast pixels not including cirrus mask
    • units: None
    • Parameter_Type: Output
    • Cell_Along_Swath_Sampling: 1, 2021, 10
    • Cell_Across_Swath_Sampling: 1, 1354, 10
    • Geolocation_Pointer: Internal geolocation arrays
    • scale_factor: 0.0010000000474974513
    • add_offset: 0.0000000000000000
Aerosol_Land_Ocean_Quality_Flag[ Cell_Along_Swath_10km= 0 ..202] [ Cell_Across_Swath_10km= 0 ..134] (Type is Int16)
  • attributes
    • coordinates: Latitude_10km Longitude_10km
    • _FillValue: -9999
    • valid_range: 0, 3
    • long_name: Quality Flag for Land and ocean Aerosol retreivals 0= bad 1 = Marginal 2= Good 3=Very Good)
    • units: None
    • Parameter_Type: Output
    • Cell_Along_Swath_Sampling: 1, 2021, 10
    • Cell_Across_Swath_Sampling: 1, 1354, 10
    • Geolocation_Pointer: Internal geolocation arrays
    • scale_factor: 1.0000000000000000
    • add_offset: 0.0000000000000000
AOD_550_Dark_Target_Deep_Blue_Combined[ Cell_Along_Swath_10km= 0 ..202] [ Cell_Across_Swath_10km= 0 ..134] (Type is Int16)
  • attributes
    • coordinates: Latitude_10km Longitude_10km
    • _FillValue: -9999
    • valid_range: -100, 5000
    • long_name: Combined Dark Target, Deep Blue AOT at 0.55 micron for land and ocean.
    • units: None
    • Parameter_Type: Output
    • Cell_Along_Swath_Sampling: 1, 2021, 10
    • Cell_Across_Swath_Sampling: 1, 1354, 10
    • Geolocation_Pointer: Internal geolocation arrays
    • scale_factor: 0.0010000000474974513
    • add_offset: 0.0000000000000000
AOD_550_Dark_Target_Deep_Blue_Combined_QA_Flag[ Cell_Along_Swath_10km= 0 ..202] [ Cell_Across_Swath_10km= 0 ..134] (Type is Int16)
  • attributes
    • coordinates: Latitude_10km Longitude_10km
    • _FillValue: -9999
    • valid_range: 0, 3
    • long_name: Combined Dark Target, Deep Blue Aerosol Confidence Flag (0= No Confidence (or fill), 1= Marginal, 2= Good, 3= Very Good)
    • units: None
    • Parameter_Type: Output
    • Cell_Along_Swath_Sampling: 1, 2021, 10
    • Cell_Across_Swath_Sampling: 1, 1354, 10
    • Geolocation_Pointer: Internal geolocation arrays
    • scale_factor: 1.0000000000000000
    • add_offset: 0.0000000000000000
AOD_550_Dark_Target_Deep_Blue_Combined_Algorithm_Flag[ Cell_Along_Swath_10km= 0 ..202] [ Cell_Across_Swath_10km= 0 ..134] (Type is Int16)
  • attributes
    • coordinates: Latitude_10km Longitude_10km
    • _FillValue: -999
    • valid_range: 0, 2
    • long_name: Combined Dark Target, Deep Blue AOT at 0.55 micron Algorithm Flag (0=Dark Target, 1=Deep Blue, 2=Mixed)
    • units: None
    • Parameter_Type: Output
    • Cell_Along_Swath_Sampling: 1, 2021, 10
    • Cell_Across_Swath_Sampling: 1, 1354, 10
    • Geolocation_Pointer: Internal geolocation arrays
    • scale_factor: 1.0000000000000000
    • add_offset: 0.0000000000000000
Deep_Blue_Aerosol_Optical_Depth_550_Land_Best_Estimate[ Cell_Along_Swath_10km= 0 ..202] [ Cell_Across_Swath_10km= 0 ..134] (Type is Int16)
  • attributes
    • coordinates: Latitude_10km Longitude_10km
    • _FillValue: -9999
    • valid_range: 0, 5000
    • long_name: Deep Blue AOT at 0.55 micron for land with higher quality data (Quality flag=2,3)
    • units: None
    • Parameter_Type: Output
    • Cell_Along_Swath_Sampling: 1, 2021, 10
    • Cell_Across_Swath_Sampling: 1, 1354, 10
    • Geolocation_Pointer: Internal geolocation arrays
    • scale_factor: 0.0010000000474974513
    • add_offset: 0.0000000000000000
Deep_Blue_Aerosol_Optical_Depth_550_Land_QA_Flag[ Cell_Along_Swath_10km= 0 ..202] [ Cell_Across_Swath_10km= 0 ..134] (Type is Int16)
  • attributes
    • coordinates: Latitude_10km Longitude_10km
    • _FillValue: 0
    • valid_range: 0, 3
    • long_name: Deep Blue Aerosol Confidence Flag (0= No Confidence (or fill), 1= Marginal, 2= Good, 3= Very Good)
    • units: None
    • Parameter_Type: Output
    • Cell_Along_Swath_Sampling: 1, 2021, 10
    • Cell_Across_Swath_Sampling: 1, 1354, 10
    • Geolocation_Pointer: Internal geolocation arrays
    • scale_factor: 1.0000000000000000
    • add_offset: 0.0000000000000000
Deep_Blue_Aerosol_Optical_Depth_550_Land_Estimated_Uncertainty[ Cell_Along_Swath_10km= 0 ..202] [ Cell_Across_Swath_10km= 0 ..134] (Type is Int16)
  • attributes
    • coordinates: Latitude_10km Longitude_10km
    • _FillValue: -9999
    • valid_range: 0, 5000
    • long_name: Estimated uncertainty (one-sigma confidence envelope) of Deep Blue AOT at 0.55 micron for land for all quality data (Quality flag=1,2,3)
    • units: None
    • Parameter_Type: Output
    • Cell_Along_Swath_Sampling: 1, 2021, 10
    • Cell_Across_Swath_Sampling: 1, 1354, 10
    • Geolocation_Pointer: Internal geolocation arrays
    • scale_factor: 0.0010000000474974513
    • add_offset: 0.0000000000000000
Aerosol_Quality_Assurance_Land[ Cell_Along_Swath_10km= 0 ..202] [ Cell_Across_Swath_10km= 0 ..134] [ QA_Byte_Land= 0 ..5] (Type is Int32)
  • attributes
    • coordinates: Latitude_10km Longitude_10km QA_Byte_Land
    • _FillValue: 0
    • valid_range: 0, -1
    • long_name: Runtime QA flags
    • units: None
    • Parameter_Type: Output
    • Cell_Along_Swath_Sampling: 1, 2021, 10
    • Cell_Across_Swath_Sampling: 1, 1354, 10
    • Geolocation_Pointer: Internal geolocation arrays
    • description: see MODIS atmosphere QA plan for details
    • scale_factor: 1.0000000000000000
    • add_offset: 0.0000000000000000
Aerosol_Quality_Assurance_Ocean[ Cell_Along_Swath_10km= 0 ..202] [ Cell_Across_Swath_10km= 0 ..134] [ QA_Byte_Ocean= 0 ..4] (Type is Int32)
  • attributes
    • coordinates: Latitude_10km Longitude_10km QA_Byte_Ocean
    • _FillValue: 0
    • valid_range: 0, -1
    • long_name: Run time QA flags
    • units: None
    • Parameter_Type: Output
    • Cell_Along_Swath_Sampling: 1, 2021, 10
    • Cell_Across_Swath_Sampling: 1, 1354, 10
    • Geolocation_Pointer: Internal geolocation arrays
    • description: (see MODIS atmosphere QA plan for details)
    • scale_factor: 1.0000000000000000
    • add_offset: 0.0000000000000000
Deep_Blue_Single_Scattering_Albedo_412_Land[ Num_DeepBlue_Wavelengths= 0 ..2] [ Cell_Along_Swath_10km= 0 ..202] [ Cell_Across_Swath_10km= 0 ..134] (Type is Int16)
  • attributes
    • coordinates: Num_DeepBlue_Wavelengths Latitude_10km Longitude_10km
    • _FillValue: -9999
    • valid_range: 700, 1000
    • long_name: Deep Blue Single Scattering Albedo at 0.412, 0.47, and 0.66 micron for land with all quality data (Quality flag=1,2,3)
    • units: None
    • Parameter_Type: Output
    • Cell_Along_Swath_Sampling: 1, 2021, 10
    • Cell_Across_Swath_Sampling: 1, 1354, 10
    • Geolocation_Pointer: Internal geolocation arrays
    • scale_factor: 0.0010000000474974513
    • add_offset: 0.0000000000000000
Longitude_10km[ Cell_Along_Swath_10km= 0 ..202] [ Cell_Across_Swath_10km= 0 ..134] (Type is Float32)
  • attributes
    • units:
    • _FillValue: -999.0000000
    • valid_range: -180.0000000, 180.0000000
    • long_name: Geodetic Longitude
    • Parameter_Type: MODIS Input
    • Cell_Along_Swath_Sampling: 1, 2021, 10
    • Cell_Across_Swath_Sampling: 1, 1345, 10
    • Geolocation_Pointer: Geolocation data not applicable
Latitude_10km[ Cell_Along_Swath_10km= 0 ..202] [ Cell_Across_Swath_10km= 0 ..134] (Type is Float32)
  • attributes
    • units:
    • _FillValue: -999.0000000
    • valid_range: -90.00000000, 90.00000000
    • long_name: Geodetic Latitude
    • Parameter_Type: MODIS Input
    • Cell_Along_Swath_Sampling: 1, 2021, 10
    • Cell_Across_Swath_Sampling: 1, 1345, 10
    • Geolocation_Pointer: Geolocation data not applicable
Precipitable_Water_Near_Infrared_ClearSky[ Cell_Along_Swath_5km= 0 ..405] [ Cell_Across_Swath_5km= 0 ..270] (Type is Int16)
  • attributes
    • coordinates: Latitude Longitude
    • _FillValue: -9999
    • long_name: Total Column Precipitable Water Vapor - Near Infrared Retrieval
    • unit: cm
    • Parameter_Type: Output
    • Cell_Along_Swath_Sampling: 4, 2029, 5
    • Cell_Across_Swath_Sampling: 3, 1353, 5
    • Geolocation_Pointer: Internal geolocation arrays
    • valid_range: 0, 20000
    • scale_factor: 0.0010000000474974513
    • add_offset: 0.0000000000000000
Cloud_Optical_Thickness_PCL[ Cell_Along_Swath_5km= 0 ..405] [ Cell_Across_Swath_5km= 0 ..270] (Type is Int16)
  • attributes
    • coordinates: Latitude Longitude
    • _FillValue: -9999
    • valid_range: 0, 10000
    • long_name: Cloud Optical Thickness two-channel retrieval using band 7(2.1um) and either band 1(0.65um), 2(0.86um), or 5(1.2um) (specified in Quality_Assurance_1km)from points identified as either partly cloudy from 250m cloud mask test or 1km cloud edges
    • units: none
    • Parameter_Type: Output
    • Cell_Along_Swath_Sampling: 4, 2029, 5
    • Cell_Across_Swath_Sampling: 3, 1353, 5
    • Geolocation_Pointer: External MODIS geolocation product
    • scale_factor: 0.0099999997764825821
    • add_offset: 0.0000000000000000
Cloud_Optical_Thickness_16[ Cell_Along_Swath_5km= 0 ..405] [ Cell_Across_Swath_5km= 0 ..270] (Type is Int16)
  • attributes
    • coordinates: Latitude Longitude
    • _FillValue: -9999
    • valid_range: 0, 10000
    • long_name: Cloud Optical Thickness two-channel retrieval using band 6(1.6um) and either band 1(0.65um), 2(0.86um), or 5(1.2um) (specified in Quality_Assurance_1km)from best points: not failed in any way, not marked for clear sky restoral
    • units: none
    • Parameter_Type: Output
    • Cell_Along_Swath_Sampling: 4, 2029, 5
    • Cell_Across_Swath_Sampling: 3, 1353, 5
    • Geolocation_Pointer: External MODIS geolocation product
    • scale_factor: 0.0099999997764825821
    • add_offset: 0.0000000000000000
Cloud_Optical_Thickness_16_PCL[ Cell_Along_Swath_5km= 0 ..405] [ Cell_Across_Swath_5km= 0 ..270] (Type is Int16)
  • attributes
    • coordinates: Latitude Longitude
    • _FillValue: -9999
    • valid_range: 0, 10000
    • long_name: Cloud Optical Thickness two-channel retrieval using band 6(1.6um) and either band 1(0.65um), 2(0.86um), or 5(1.2um) (specified in Quality_Assurance_1km)from points identified as either partly cloudy from 250m cloud mask test or 1km cloud edges
    • units: none
    • Parameter_Type: Output
    • Cell_Along_Swath_Sampling: 4, 2029, 5
    • Cell_Across_Swath_Sampling: 3, 1353, 5
    • Geolocation_Pointer: External MODIS geolocation product
    • scale_factor: 0.0099999997764825821
    • add_offset: 0.0000000000000000
Cloud_Optical_Thickness_37[ Cell_Along_Swath_5km= 0 ..405] [ Cell_Across_Swath_5km= 0 ..270] (Type is Int16)
  • attributes
    • coordinates: Latitude Longitude
    • _FillValue: -9999
    • valid_range: 0, 10000
    • long_name: Cloud Optical Thickness two-channel retrieval using band 20(3.7um) and either band 1(0.65um), 2(0.86um), or 5(1.2um) (specified in Quality_Assurance_1km)from best points: not failed in any way, not marked for clear sky restoral
    • units: none
    • Parameter_Type: Output
    • Cell_Along_Swath_Sampling: 4, 2029, 5
    • Cell_Across_Swath_Sampling: 3, 1353, 5
    • Geolocation_Pointer: External MODIS geolocation product
    • scale_factor: 0.0099999997764825821
    • add_offset: 0.0000000000000000
Cloud_Optical_Thickness_37_PCL[ Cell_Along_Swath_5km= 0 ..405] [ Cell_Across_Swath_5km= 0 ..270] (Type is Int16)
  • attributes
    • coordinates: Latitude Longitude
    • _FillValue: -9999
    • valid_range: 0, 10000
    • long_name: Cloud Optical Thickness two-channel retrieval using band 20(3.7um) and either band 1(0.65um), 2(0.86um), or 5(1.2um) (specified in Quality_Assurance_1km)from points identified as either partly cloudy from 250m cloud mask test or 1km cloud edges
    • units: none
    • Parameter_Type: Output
    • Cell_Along_Swath_Sampling: 4, 2029, 5
    • Cell_Across_Swath_Sampling: 3, 1353, 5
    • Geolocation_Pointer: External MODIS geolocation product
    • scale_factor: 0.0099999997764825821
    • add_offset: 0.0000000000000000
Cloud_Optical_Thickness_Uncertainty_16[ Cell_Along_Swath_5km= 0 ..405] [ Cell_Across_Swath_5km= 0 ..270] (Type is Int16)
  • attributes
    • coordinates: Latitude Longitude
    • _FillValue: -9999
    • valid_range: 0, 20000
    • long_name: Cloud Optical Thickness Relative Uncertainty (Percent)from both best points and points identified as cloud edge at 1km resolution or partly cloudy at 250m based on the Cloud_Optical_Thickness_16 and Cloud_Effective_Radius_16 results
    • units: percent
    • Parameter_Type: Output
    • Cell_Along_Swath_Sampling: 4, 2029, 5
    • Cell_Across_Swath_Sampling: 3, 1353, 5
    • Geolocation_Pointer: External MODIS geolocation product
    • scale_factor: 0.0099999997764825821
    • add_offset: 0.0000000000000000
Cloud_Optical_Thickness_Uncertainty_37[ Cell_Along_Swath_5km= 0 ..405] [ Cell_Across_Swath_5km= 0 ..270] (Type is Int16)
  • attributes
    • coordinates: Latitude Longitude
    • _FillValue: -9999
    • valid_range: 0, 20000
    • long_name: Cloud Optical Thickness Relative Uncertainty (Percent)from both best points and points identified as cloud edge at 1km resolution or partly cloudy at 250m based on the Cloud_Optical_Thickness_37 and Cloud_Effective_Radius_37 results
    • units: percent
    • Parameter_Type: Output
    • Cell_Along_Swath_Sampling: 4, 2029, 5
    • Cell_Across_Swath_Sampling: 3, 1353, 5
    • Geolocation_Pointer: External MODIS geolocation product
    • scale_factor: 0.0099999997764825821
    • add_offset: 0.0000000000000000
Cloud_Effective_Radius_PCL[ Cell_Along_Swath_5km= 0 ..405] [ Cell_Across_Swath_5km= 0 ..270] (Type is Int16)
  • attributes
    • coordinates: Latitude Longitude
    • _FillValue: -9999
    • valid_range: 0, 10000
    • long_name: Cloud Particle Effective Radius two-channel retrieval using band 7(2.1um) and either band 1(0.65um), 2(0.86um), or 5(1.2um) (specified in Quality_Assurance_1km)from points identified as either partly cloudy from 250m cloud mask test or 1km cloud edges
    • units: micron
    • Parameter_Type: Output
    • Cell_Along_Swath_Sampling: 4, 2029, 5
    • Cell_Across_Swath_Sampling: 3, 1353, 5
    • Geolocation_Pointer: External MODIS geolocation product
    • scale_factor: 0.0099999997764825821
    • add_offset: 0.0000000000000000
Cloud_Effective_Radius_16[ Cell_Along_Swath_5km= 0 ..405] [ Cell_Across_Swath_5km= 0 ..270] (Type is Int16)
  • attributes
    • coordinates: Latitude Longitude
    • _FillValue: -9999
    • valid_range: 0, 10000
    • long_name: Cloud Particle Effective Radius two-channel retrieval using band 6(1.6um) and either band 1(0.65um), 2(0.86um), or 5(1.2um) (specified in Quality_Assurance_1km)from best points: not failed in any way, not marked for clear sky restoral
    • units: micron
    • Parameter_Type: Output
    • Cell_Along_Swath_Sampling: 4, 2029, 5
    • Cell_Across_Swath_Sampling: 3, 1353, 5
    • Geolocation_Pointer: External MODIS geolocation product
    • scale_factor: 0.0099999997764825821
    • add_offset: 0.0000000000000000
Cloud_Effective_Radius_16_PCL[ Cell_Along_Swath_5km= 0 ..405] [ Cell_Across_Swath_5km= 0 ..270] (Type is Int16)
  • attributes
    • coordinates: Latitude Longitude
    • _FillValue: -9999
    • valid_range: 0, 10000
    • long_name: Cloud Particle Effective Radius two-channel retrieval using band 6(1.6um) and either band 1(0.65um), 2(0.86um), or 5(1.2um) (specified in Quality_Assurance_1km)from points identified as either partly cloudy from 250m cloud mask test or 1km cloud edges
    • units: micron
    • Parameter_Type: Output
    • Cell_Along_Swath_Sampling: 4, 2029, 5
    • Cell_Across_Swath_Sampling: 3, 1353, 5
    • Geolocation_Pointer: External MODIS geolocation product
    • scale_factor: 0.0099999997764825821
    • add_offset: 0.0000000000000000
Cloud_Effective_Radius_37[ Cell_Along_Swath_5km= 0 ..405] [ Cell_Across_Swath_5km= 0 ..270] (Type is Int16)
  • attributes
    • coordinates: Latitude Longitude
    • _FillValue: -9999
    • valid_range: 0, 10000
    • long_name: Cloud Particle Effective Radius two-channel retrieval using band 20(3.7um) and either band 1(0.65um), 2(0.86um), or 5(1.2um) (specified in Quality_Assurance_1km)from best points: not failed in any way, not marked for clear sky restoral
    • units: micron
    • Parameter_Type: Output
    • Cell_Along_Swath_Sampling: 4, 2029, 5
    • Cell_Across_Swath_Sampling: 3, 1353, 5
    • Geolocation_Pointer: External MODIS geolocation product
    • scale_factor: 0.0099999997764825821
    • add_offset: 0.0000000000000000
Cloud_Effective_Radius_37_PCL[ Cell_Along_Swath_5km= 0 ..405] [ Cell_Across_Swath_5km= 0 ..270] (Type is Int16)
  • attributes
    • coordinates: Latitude Longitude
    • _FillValue: -9999
    • valid_range: 0, 10000
    • long_name: Cloud Particle Effective Radius two-channel retrieval using band 20(3.7um) and either band 1(0.65um), 2(0.86um), or 5(1.2um) (specified in Quality_Assurance_1km)from points identified as either partly cloudy from 250m cloud mask test or 1km cloud edges
    • units: micron
    • Parameter_Type: Output
    • Cell_Along_Swath_Sampling: 4, 2029, 5
    • Cell_Across_Swath_Sampling: 3, 1353, 5
    • Geolocation_Pointer: External MODIS geolocation product
    • scale_factor: 0.0099999997764825821
    • add_offset: 0.0000000000000000
Cloud_Effective_Radius_Uncertainty_16[ Cell_Along_Swath_5km= 0 ..405] [ Cell_Across_Swath_5km= 0 ..270] (Type is Int16)
  • attributes
    • coordinates: Latitude Longitude
    • _FillValue: -9999
    • valid_range: 0, 20000
    • long_name: Cloud Effective Particle Radius (from band 6(1.6um) Relative Uncertainty (Percent)from both best points and points identified as cloud edge at 1km resolution or partly cloudy at 250m
    • units: percent
    • Parameter_Type: Output
    • Cell_Along_Swath_Sampling: 4, 2029, 5
    • Cell_Across_Swath_Sampling: 3, 1353, 5
    • Geolocation_Pointer: External MODIS geolocation product
    • scale_factor: 0.0099999997764825821
    • add_offset: 0.0000000000000000
Cloud_Effective_Radius_Uncertainty_37[ Cell_Along_Swath_5km= 0 ..405] [ Cell_Across_Swath_5km= 0 ..270] (Type is Int16)
  • attributes
    • coordinates: Latitude Longitude
    • _FillValue: -9999
    • valid_range: 0, 20000
    • long_name: Cloud Effective Particle Radius (from band 20(3.7um)) Relative Uncertainty (Percent)from both best points and points identified as cloud edge at 1km resolution or partly cloudy at 250m
    • units: percent
    • Parameter_Type: Output
    • Cell_Along_Swath_Sampling: 4, 2029, 5
    • Cell_Across_Swath_Sampling: 3, 1353, 5
    • Geolocation_Pointer: External MODIS geolocation product
    • scale_factor: 0.0099999997764825821
    • add_offset: 0.0000000000000000
Cloud_Water_Path_PCL[ Cell_Along_Swath_5km= 0 ..405] [ Cell_Across_Swath_5km= 0 ..270] (Type is Int16)
  • attributes
    • coordinates: Latitude Longitude
    • _FillValue: -9999
    • valid_range: 0, 10000
    • long_name: Column Water Path two-channel retrieval using band 7(2.1um) and either band 1(0.65um), 2(0.86um), or 5(1.2um) (specified in Quality_Assurance_1km)from points identified as either partly cloudy from 250m cloud mask test or 1km cloud edges
    • units: g/m^2
    • Parameter_Type: Output
    • Cell_Along_Swath_Sampling: 4, 2029, 5
    • Cell_Across_Swath_Sampling: 3, 1353, 5
    • Geolocation_Pointer: External MODIS geolocation product
    • scale_factor: 1.0000000000000000
    • add_offset: 0.0000000000000000
Cloud_Water_Path_16[ Cell_Along_Swath_5km= 0 ..405] [ Cell_Across_Swath_5km= 0 ..270] (Type is Int16)
  • attributes
    • coordinates: Latitude Longitude
    • _FillValue: -9999
    • valid_range: 0, 10000
    • long_name: Column Water Path two-channel retrieval using band 6(1.6um) and either band 1(0.65um), 2(0.86um), or 5(1.2um) (specified in Quality_Assurance_1km)from best points: not failed in any way, not marked for clear sky restoral
    • units: g/m^2
    • Parameter_Type: Output
    • Cell_Along_Swath_Sampling: 4, 2029, 5
    • Cell_Across_Swath_Sampling: 3, 1353, 5
    • Geolocation_Pointer: External MODIS geolocation product
    • scale_factor: 1.0000000000000000
    • add_offset: 0.0000000000000000
Cloud_Water_Path_16_PCL[ Cell_Along_Swath_5km= 0 ..405] [ Cell_Across_Swath_5km= 0 ..270] (Type is Int16)
  • attributes
    • coordinates: Latitude Longitude
    • _FillValue: -9999
    • valid_range: 0, 10000
    • long_name: Column Water Path two-channel retrieval using band 6(1.6um) and either band 1(0.65um), 2(0.86um), or 5(1.2um) (specified in Quality_Assurance_1km)from points identified as either partly cloudy from 250m cloud mask test or 1km cloud edges
    • units: g/m^2
    • Parameter_Type: Output
    • Cell_Along_Swath_Sampling: 4, 2029, 5
    • Cell_Across_Swath_Sampling: 3, 1353, 5
    • Geolocation_Pointer: External MODIS geolocation product
    • scale_factor: 1.0000000000000000
    • add_offset: 0.0000000000000000
Cloud_Water_Path_37[ Cell_Along_Swath_5km= 0 ..405] [ Cell_Across_Swath_5km= 0 ..270] (Type is Int16)
  • attributes
    • coordinates: Latitude Longitude
    • _FillValue: -9999
    • valid_range: 0, 10000
    • long_name: Column Water Path two-channel retrieval using band 20(3.7um) and either band 1(0.65um), 2(0.86um), or 5(1.2um) (specified in Quality_Assurance_1km)from best points: not failed in any way, not marked for clear sky restoral
    • units: g/m^2
    • Parameter_Type: Output
    • Cell_Along_Swath_Sampling: 4, 2029, 5
    • Cell_Across_Swath_Sampling: 3, 1353, 5
    • Geolocation_Pointer: External MODIS geolocation product
    • scale_factor: 1.0000000000000000
    • add_offset: 0.0000000000000000
Cloud_Water_Path_37_PCL[ Cell_Along_Swath_5km= 0 ..405] [ Cell_Across_Swath_5km= 0 ..270] (Type is Int16)
  • attributes
    • coordinates: Latitude Longitude
    • _FillValue: -9999
    • valid_range: 0, 10000
    • long_name: Column Water Path two-channel retrieval using band 20(3.7um) and either band 1(0.65um), 2(0.86um), or 5(1.2um) (specified in Quality_Assurance_1km)from points identified as either partly cloudy from 250m cloud mask test or 1km cloud edges
    • units: g/m^2
    • Parameter_Type: Output
    • Cell_Along_Swath_Sampling: 4, 2029, 5
    • Cell_Across_Swath_Sampling: 3, 1353, 5
    • Geolocation_Pointer: External MODIS geolocation product
    • scale_factor: 1.0000000000000000
    • add_offset: 0.0000000000000000
Cloud_Water_Path_Uncertainty_16[ Cell_Along_Swath_5km= 0 ..405] [ Cell_Across_Swath_5km= 0 ..270] (Type is Int16)
  • attributes
    • coordinates: Latitude Longitude
    • _FillValue: -9999
    • valid_range: 0, 20000
    • long_name: Cloud Water Path Relative Uncertainty (Percent)from both best points and points identified as cloud edge at 1km resolution or partly cloudy at 250m using the VNSWIR-1.6um retrieval
    • units: percent
    • Parameter_Type: Output
    • Cell_Along_Swath_Sampling: 4, 2029, 5
    • Cell_Across_Swath_Sampling: 3, 1353, 5
    • Geolocation_Pointer: External MODIS geolocation product
    • scale_factor: 0.0099999997764825821
    • add_offset: 0.0000000000000000
Cloud_Water_Path_Uncertainty_37[ Cell_Along_Swath_5km= 0 ..405] [ Cell_Across_Swath_5km= 0 ..270] (Type is Int16)
  • attributes
    • coordinates: Latitude Longitude
    • _FillValue: -9999
    • valid_range: 0, 20000
    • long_name: Cloud Water Path Relative Uncertainty (Percent)from both best points and points identified as cloud edge at 1km resolution or partly cloudy at 250m using the VNSWIR-3.7um retrieval
    • units: percent
    • Parameter_Type: Output
    • Cell_Along_Swath_Sampling: 4, 2029, 5
    • Cell_Across_Swath_Sampling: 3, 1353, 5
    • Geolocation_Pointer: External MODIS geolocation product
    • scale_factor: 0.0099999997764825821
    • add_offset: 0.0000000000000000
Cloud_Top_Pressure_1km[ Cell_Along_Swath_5km= 0 ..405] [ Cell_Across_Swath_5km= 0 ..270] (Type is Int16)
  • attributes
    • coordinates: Latitude Longitude
    • _FillValue: -999
    • valid_range: 10, 11000
    • long_name: Cloud Top Pressure at 1-km resolution from LEOCAT, Cloud Top Pressure Level rounded to nearest 5 mb
    • units: hPa
    • Parameter_Type: Output
    • Cell_Along_Swath_Sampling: 4, 2029, 5
    • Cell_Across_Swath_Sampling: 3, 1353, 5
    • Geolocation_Pointer: External MODIS geolocation product
    • scale_factor: 0.10000000149011612
    • add_offset: 0.0000000000000000
Cloud_Top_Temperature_1km[ Cell_Along_Swath_5km= 0 ..405] [ Cell_Across_Swath_5km= 0 ..270] (Type is Int16)
  • attributes
    • coordinates: Latitude Longitude
    • _FillValue: -999
    • valid_range: 0, 20000
    • long_name: Cloud Top Temperature at 1-km resolution from LEOCAT, Temperature from Ancillary Data at Retrieved Cloud Top Pressure Level
    • units: K
    • Parameter_Type: Output
    • Cell_Along_Swath_Sampling: 4, 2029, 5
    • Cell_Across_Swath_Sampling: 3, 1353, 5
    • Geolocation_Pointer: External MODIS geolocation product
    • scale_factor: 0.0099999997764825821
    • add_offset: 150.00000000000000
Cloud_Top_Height_1km[ Cell_Along_Swath_5km= 0 ..405] [ Cell_Across_Swath_5km= 0 ..270] (Type is Int16)
  • attributes
    • coordinates: Latitude Longitude
    • _FillValue: -999
    • valid_range: 0, 18000
    • long_name: Cloud Top Height at 1-km resolution from LEOCAT, Geopotential Height at Retrieved Cloud Top Pressure Level rounded to nearest 50 m
    • units: meters
    • Parameter_Type: Output
    • Cell_Along_Swath_Sampling: 4, 2029, 5
    • Cell_Across_Swath_Sampling: 3, 1353, 5
    • Geolocation_Pointer: External MODIS geolocation product
    • scale_factor: 1.0000000000000000
    • add_offset: 0.0000000000000000
Surface_Temperature_1km[ Cell_Along_Swath_5km= 0 ..405] [ Cell_Across_Swath_5km= 0 ..270] (Type is Int16)
  • attributes
    • coordinates: Latitude Longitude
    • _FillValue: -999
    • valid_range: 0, 20000
    • long_name: Surface Temperature for Each 1-km MODIS Pixel Interplated from Ancillary Data
    • units: K
    • Parameter_Type: Non MODIS Input
    • Cell_Along_Swath_Sampling: 4, 2029, 5
    • Cell_Across_Swath_Sampling: 3, 1353, 5
    • Geolocation_Pointer: External MODIS geolocation product
    • scale_factor: 0.0099999997764825821
    • add_offset: 150.00000000000000
OS_Top_Flag_1km[ Cell_Along_Swath_5km= 0 ..405] [ Cell_Across_Swath_5km= 0 ..270] (Type is Int32)
  • attributes
    • coordinates: Latitude Longitude
    • _FillValue: 127
    • valid_range: 0, 2
    • long_name: Upper Tropospheric/Lower Stratospheric (UTLS) Cloud Flag at 1-km resolution - valid from -50 to +50 Degrees Latitude
    • units: none
    • Parameter_Type: Output
    • Cell_Along_Swath_Sampling: 4, 2029, 5
    • Cell_Across_Swath_Sampling: 3, 1353, 5
    • Geolocation_Pointer: External geolocation arrays
    • description: \n The values in this SDS indicate the following: 0 -- stratospheric cloud test not performed 1 -- stratospheric cloud not indicated 2 -- stratospheric cloud indicated (BTD35-33 > 0.5K)
    • scale_factor: 1.0000000000000000
    • add_offset: 0.0000000000000000
Cloud_Mask_SPI[ Cell_Along_Swath_5km= 0 ..405] [ Cell_Across_Swath_5km= 0 ..270] [ SPI_nband= 0 ..1] (Type is Int16)
  • attributes
    • coordinates: Latitude Longitude SPI_nband
    • _FillValue: -9999
    • valid_range: 0, 20000
    • long_name: Dispersion in bands 1 (plane 1) and 2 (plane 2) from 250m reflectance statistics of cloud mask
    • units: percent
    • Parameter_Type: Output
    • Cell_Along_Swath_Sampling: 4, 2029, 5
    • Cell_Across_Swath_Sampling: 3, 1353, 5
    • Geolocation_Pointer: External MODIS geolocation product
    • scale_factor: 0.0099999997764825821
    • add_offset: 0.0000000000000000
Cloud_Multi_Layer_Flag[ Cell_Along_Swath_5km= 0 ..405] [ Cell_Across_Swath_5km= 0 ..270] (Type is Int32)
  • attributes
    • coordinates: Latitude Longitude
    • _FillValue: 0
    • valid_range: 0, 9
    • long_name: Cloud Multi Layer Identification From MODIS Shortwave Observations
    • units: none
    • Parameter_Type: Output
    • Cell_Along_Swath_Sampling: 4, 2029, 5
    • Cell_Across_Swath_Sampling: 3, 1353, 5
    • Geolocation_Pointer: External MODIS geolocation product
    • description: \n Flag for multi-layer multi-phase cloud situations. Values 2 through 9 indicate the success of various multi-layer cloud tests. Value of 0 indicates no retrieval, value of 1 indicates single layer cloud. The other values are of increasing confidence level.
    • scale_factor: 1.0000000000000000
    • add_offset: 0.0000000000000000
Cloud_Phase_Infrared_1km[ Cell_Along_Swath_5km= 0 ..405] [ Cell_Across_Swath_5km= 0 ..270] (Type is Int32)
  • attributes
    • coordinates: Latitude Longitude
    • _FillValue: 127
    • valid_range: 0, 6
    • long_name: Cloud Phase at 1-km resolution from 8.5- 11 um BTDs and cloud emissivity ratios (12/11, 8.5/11, and 7.2/11 um)
    • units: none
    • Parameter_Type: Output
    • Cell_Along_Swath_Sampling: 4, 2029, 5
    • Cell_Across_Swath_Sampling: 3, 1353, 5
    • Geolocation_Pointer: External geolocation arrays
    • description: \n The values in this SDS indicate the following cloud phase: 0 -- cloud free 1 -- water cloud 2 -- ice cloud 3 -- mixed phase cloud 6 -- undetermined phase
    • scale_factor: 1.0000000000000000
    • add_offset: 0.0000000000000000
Cloud_Top_Height[ Cell_Along_Swath_5km= 0 ..405] [ Cell_Across_Swath_5km= 0 ..270] (Type is Int16)
  • attributes
    • coordinates: Latitude Longitude
    • _FillValue: -32767
    • valid_range: 0, 18000
    • long_name: Geopotential Height at Retrieved Cloud Top Pressure Level (rounded to nearest 50 m)
    • units: meters
    • Parameter_Type: Output
    • Cell_Along_Swath_Sampling: 3, 2028, 5
    • Cell_Across_Swath_Sampling: 3, 1348, 5
    • Geolocation_Pointer: Internal geolocation arrays
    • scale_factor: 1.0000000000000000
    • add_offset: 0.0000000000000000
Cloud_Height_Method[ Cell_Along_Swath_5km= 0 ..405] [ Cell_Across_Swath_5km= 0 ..270] (Type is Int32)
  • attributes
    • coordinates: Latitude Longitude
    • _FillValue: 127
    • valid_range: 1, 6
    • long_name: Index Indicating MODIS Bands Used for Cloud Top Pressure Retrieval
    • units: none
    • Parameter_Type: Output
    • Cell_Along_Swath_Sampling: 3, 2028, 5
    • Cell_Across_Swath_Sampling: 3, 1348, 5
    • Geolocation_Pointer: Internal geolocation arrays
    • description: \n The values in this SDS are set to mean the following: 1 -- CO2-slicing retrieval, bands 36/35 2 -- CO2-slicing retrieval, bands 35/34 3 -- CO2-slicing retrieval, bands 35/33 4 -- CO2-slicing retrieval, bands 34/33 6 -- IR-window retrieval, band 31
    • scale_factor: 1.0000000000000000
    • add_offset: 0.0000000000000000
Infrared_obs_minus_calc[ Band_Forcing= 0 ..4] [ Cell_Along_Swath_5km= 0 ..405] [ Cell_Across_Swath_5km= 0 ..270] (Type is Int16)
  • attributes
    • coordinates: Band_Forcing Latitude Longitude
    • _FillValue: -32768
    • valid_range: -2000, 2000
    • long_name: Spectral Cloud Forcing (cloud minus clear radiance)
    • units: Watts/meter2/steradian/micron
    • Parameter_Type: Output
    • Cell_Along_Swath_Sampling: 3, 2028, 5
    • Cell_Across_Swath_Sampling: 3, 1348, 5
    • Geolocation_Pointer: Internal geolocation arrays
    • description: \n Spectral cloud forcing, cloudy-clear radiance, each channel in order: 36, 35, 34, 33 and 31 for Band_Forcing dimension reference
    • scale_factor: 0.0099999997764825821
    • add_offset: 0.0000000000000000
Cloud_Optical_Thickness_1621_PCL[ Cell_Along_Swath_5km= 0 ..405] [ Cell_Across_Swath_5km= 0 ..270] (Type is Int16)
  • attributes
    • coordinates: Latitude Longitude
    • _FillValue: -9999
    • valid_range: 0, 10000
    • long_name: Cloud Optical Thickness two-channel retrieval using band 7(2.1um) and band 6(1.6um)from points identified as either partly cloudy from 250m cloud mask test or 1km cloud edges
    • units: none
    • Parameter_Type: Output
    • Cell_Along_Swath_Sampling: 4, 2029, 5
    • Cell_Across_Swath_Sampling: 3, 1353, 5
    • Geolocation_Pointer: External MODIS geolocation product
    • scale_factor: 0.0099999997764825821
    • add_offset: 0.0000000000000000
Cloud_Effective_Radius_1621_PCL[ Cell_Along_Swath_5km= 0 ..405] [ Cell_Across_Swath_5km= 0 ..270] (Type is Int16)
  • attributes
    • coordinates: Latitude Longitude
    • _FillValue: -9999
    • valid_range: 0, 10000
    • long_name: Cloud Particle Effective Radius two-channel retrieval using band 7(2.1um) and band 6(1.6um)from points identified as either partly cloudy from 250m cloud mask test or 1km cloud edges
    • units: micron
    • Parameter_Type: Output
    • Cell_Along_Swath_Sampling: 4, 2029, 5
    • Cell_Across_Swath_Sampling: 3, 1353, 5
    • Geolocation_Pointer: External MODIS geolocation product
    • scale_factor: 0.0099999997764825821
    • add_offset: 0.0000000000000000
Cloud_Water_Path_1621_PCL[ Cell_Along_Swath_5km= 0 ..405] [ Cell_Across_Swath_5km= 0 ..270] (Type is Int16)
  • attributes
    • coordinates: Latitude Longitude
    • _FillValue: -9999
    • valid_range: 0, 10000
    • long_name: Column Water Path two-channel retrieval using band 7(2.1um) and band 6(1.6um)from points identified as either partly cloudy from 250m cloud mask test or 1km cloud edges
    • units: g/m^2
    • Parameter_Type: Output
    • Cell_Along_Swath_Sampling: 4, 2029, 5
    • Cell_Across_Swath_Sampling: 3, 1353, 5
    • Geolocation_Pointer: External MODIS geolocation product
    • scale_factor: 1.0000000000000000
    • add_offset: 0.0000000000000000
Retrieval_Failure_Metric[ Cell_Along_Swath_5km= 0 ..405] [ Cell_Across_Swath_5km= 0 ..270] [ RFM_nband= 0 ..2] (Type is Int16)
  • attributes
    • coordinates: Latitude Longitude RFM_nband
    • _FillValue: -9999
    • valid_range: 0, 20000
    • long_name: Retrievals and other information for points that failed to retrievevia standard solution logic for retrieval using band 7 and either band 1, 2, or 5 (specified in Quality_Assurance_1km)
    • units: by plane in order: 1-none, 2-micron, 3-percent
    • Parameter_Type: Output
    • Cell_Along_Swath_Sampling: 4, 2029, 5
    • Cell_Across_Swath_Sampling: 3, 1353, 5
    • Geolocation_Pointer: External MODIS geolocation product
    • description: \n The individual planes in this SDS are set to contain the following: 1 -- Cloud Optical Thickness 2 -- Cloud Effective Radius 3 -- Relative distance of failed retrieval from the library space as percentage of reflectance
    • scale_factor: 0.0099999997764825821
    • add_offset: 0.0000000000000000
Retrieval_Failure_Metric_16[ Cell_Along_Swath_5km= 0 ..405] [ Cell_Across_Swath_5km= 0 ..270] [ RFM_nband= 0 ..2] (Type is Int16)
  • attributes
    • coordinates: Latitude Longitude RFM_nband
    • _FillValue: -9999
    • valid_range: 0, 20000
    • long_name: Retrievals and other information for points that failed to retrievevia standard solution logic for retrieval using band 6 and either band 1, 2, or 5 (specified in Quality_Assurance_1km)
    • units: by plane in order: 1-none, 2-micron, 3-percent
    • Parameter_Type: Output
    • Cell_Along_Swath_Sampling: 4, 2029, 5
    • Cell_Across_Swath_Sampling: 3, 1353, 5
    • Geolocation_Pointer: External MODIS geolocation product
    • description: \n The individual planes in this SDS are set to contain the following: 1 -- Cloud Optical Thickness 2 -- Cloud Effective Radius 3 -- Relative distance of failed retrieval from the library space as percentage of reflectance
    • scale_factor: 0.0099999997764825821
    • add_offset: 0.0000000000000000
Retrieval_Failure_Metric_37[ Cell_Along_Swath_5km= 0 ..405] [ Cell_Across_Swath_5km= 0 ..270] [ RFM_nband= 0 ..2] (Type is Int16)
  • attributes
    • coordinates: Latitude Longitude RFM_nband
    • _FillValue: -9999
    • valid_range: 0, 20000
    • long_name: Retrievals and other information for points that failed to retrievevia standard solution logic for retrieval using band 20 and either band 1, 2, or 5 (specified in Quality_Assurance_1km)
    • units: by plane in order: 1-none, 2-micron, 3-percent
    • Parameter_Type: Output
    • Cell_Along_Swath_Sampling: 4, 2029, 5
    • Cell_Across_Swath_Sampling: 3, 1353, 5
    • Geolocation_Pointer: External MODIS geolocation product
    • description: \n The individual planes in this SDS are set to contain the following: 1 -- Cloud Optical Thickness 2 -- Cloud Effective Radius 3 -- Relative distance of failed retrieval from the library space as percentage of reflectance
    • scale_factor: 0.0099999997764825821
    • add_offset: 0.0000000000000000
Retrieval_Failure_Metric_1621[ Cell_Along_Swath_5km= 0 ..405] [ Cell_Across_Swath_5km= 0 ..270] [ RFM_nband= 0 ..2] (Type is Int16)
  • attributes
    • coordinates: Latitude Longitude RFM_nband
    • _FillValue: -9999
    • valid_range: 0, 20000
    • long_name: Retrievals and other information for points that failed to retrievevia standard solution logic for retrieval using band 6 and band 7
    • units: by plane in order: 1-none, 2-micron, 3-percent
    • Parameter_Type: Output
    • Cell_Along_Swath_Sampling: 4, 2029, 5
    • Cell_Across_Swath_Sampling: 3, 1353, 5
    • Geolocation_Pointer: External MODIS geolocation product
    • description: \n The individual planes in this SDS are set to contain the following: 1 -- Cloud Optical Thickness 2 -- Cloud Effective Radius 3 -- Relative distance of failed retrieval from the library space as percentage of reflectance
    • scale_factor: 0.0099999997764825821
    • add_offset: 0.0000000000000000
Latitude[ Cell_Along_Swath_5km= 0 ..405] [ Cell_Across_Swath_5km= 0 ..270] (Type is Float32)
  • attributes
    • units: degrees_north
    • long_name: Latitude
    • _FillValue: -999.0000000
    • valid_range: -90.00000000, 90.00000000
Longitude[ Cell_Along_Swath_5km= 0 ..405] [ Cell_Across_Swath_5km= 0 ..270] (Type is Float32)
  • attributes
    • units: degrees_east
    • long_name: Longitude
    • _FillValue: -999.0000000
    • valid_range: -180.0000000, 180.0000000
QA_Parameter_5km[ QA_Parameter_5km= 0 ..8] (Type is Int32)
  • attributes
    • units: level
    • long_name: QA_Parameter_5km(fake)
Byte_Segment[ Byte_Segment= 0 ..0] (Type is Int32)
  • attributes
    • units: level
    • long_name: Byte_Segment(fake)
QA_Byte_Land[ QA_Byte_Land= 0 ..5] (Type is Int32)
  • attributes
    • units: level
    • long_name: QA_Byte_Land(fake)
QA_Byte_Ocean[ QA_Byte_Ocean= 0 ..4] (Type is Int32)
  • attributes
    • units: level
    • long_name: QA_Byte_Ocean(fake)
Num_DeepBlue_Wavelengths[ Num_DeepBlue_Wavelengths= 0 ..2] (Type is Int32)
  • attributes
    • units: level
    • long_name: Num_DeepBlue_Wavelengths(fake)
SPI_nband[ SPI_nband= 0 ..1] (Type is Int32)
  • attributes
    • units: level
    • long_name: SPI_nband(fake)
Band_Forcing[ Band_Forcing= 0 ..4] (Type is Int32)
  • attributes
    • units: level
    • long_name: Band_Forcing(fake)
RFM_nband[ RFM_nband= 0 ..2] (Type is Int32)
  • attributes
    • units: level
    • long_name: RFM_nband(fake)

debug
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OPeNDAP Hyrax (1.16.4-73)
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