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 data       graph     ISCCP H Global Gridded (HGG) By time, latitude, longitude    ?    M   background RSS
International Clo...  ?
iscpp_hgg_by_time_lat_lon

The Dataset's Variables and Attributes

Row Type Variable Name Attribute Name Data Type Value
attribute NC_GLOBAL _CoordSysBuilder String ucar.nc2.dataset.conv.CF1Convention
attribute NC_GLOBAL acknowledgement String This project received funding support from NASA REASON PROGRAM, NASA MEASURES PROGRAM and NOAA CLIMATE DATA RECORD (CDR) PROGRAM
attribute NC_GLOBAL cdm_data_type String Grid
attribute NC_GLOBAL comment String ---------- TO RE-MAP EQUAL-AREA MAP TO EQUAL-ANGLE (SQUARE LON,LAT) MAP ---------- For display purposes, the ISCCP equal-area map may be converted to an equal-angle map using replication. The variables 'eqlat_index', 'sqlon_beg' and 'sqlon_end'are provided for this purpose. Each equal-area cell is replicated into a specific range of longitude cells in the equal-angle map. For example, to remap an equal-area array eqvar[41252] to an equal-angle array sqmap[360,180], each eqvar[i] should be replicated into the range of cells indicated by sqlon_beg[i] and sqlon_end[i], and the lat index eqlat_index[i]. Using Fortran notation the assignment is: sqmap[sqlon_beg[i]:sqlon_end[i], eqlat_index[i]] = eqvar[i]. ---------- TO CONVERT COUNT UNITS TO PHYSICAL UNITS ---------- When attribute conversion_table is present for any variable, the reported values of count units may be converted to physical quantities by using the specified conversion table variable as a look-up table whose index is count value 0-255. For example, temperature = tmptab(count), temperature_variance = tmpvar(count), pressure = pretab(count), reflectance = rfltab(count), optical_depth = tautab(count), ozone = ozntab(count), humidity = humtab(count), water_path = wpatab(count). ---------- DEFINITION OF CLOUD TYPES ---------- VIS/IR cloud types are defined by a histogram of cloud top pressure and cloud optical depth, for both liquid and ice clouds. IR cloud types are defined by a histogram of cloud top pressure. Identification labels for the 18 VIS/IR cloud types and the 3 IR cloud types are given in the 'cloud_type_label' and 'cloud_irtype_label' variables, which correspond to the order of the cloud type variable arrays. ---------- TO COMPUTE CLOUD TOP HEIGHT ---------- Cloud top height in meters may be computed by applying lapse rate to the difference between cloud top temperature and surface temperature. Given rlapse 6.5, the formula is: height_meters = (ts - tc) / rlapse * 1000.0. ---------- TO COMPUTE TOTAL IR BRIGHTNESS TEMPERATURE ---------- Using IR cloud/clear categories: n_ir_clear = n_total - n_ir_cloudy, and then total_ir_bt = ( (n_ir_cloudy * ir_ircloudy) + (n_ir_clear * ir_irclear) ) / n_total, where ir_ircloudy and ir_irclear are values of count units. The resulting total_ir_bt can be converted from count units to physical units using the tmptab conversion table. Using VIS/IR cloud/clear categories: n_clear = n_total - n_cloudy, and then total_ir_bt = ( (n_cloudy * ir_visircloudy)+ (n_clear * ir_visirclear) / n_total, where ir_visircloudy and ir_visirclear are values of count units. The resulting total_ir_bt can be converted from count units to physical units using the tmptab conversion table. ---------- TO COMPUTE TOTAL VIS RADIANCE ---------- Using IR cloud/clear categories: n_ir_clear = n_total - n_ir_cloudy, and then total_vis_radiance = ( (n_ir_cloudy * vis_ircloudy) + (n_ir_clear * vis_irclear) ) / n_total. Using VIS/IR cloud/clear categories: n_clear = n_total - n_cloudy, and then total_vis_radiance = ( (n_cloudy * vis_visircloudy)+ (n_clear * vis_visirclear) / n_total.
attribute NC_GLOBAL contributor_name String William B. Rossow, Alison Walker, Violeta Golea, NOAA, EUMETSAT, ESA, JP/JMA, CHINA/CMA, BR/INPE, NASA
attribute NC_GLOBAL contributor_role String principalInvestigator, processor, resourceProvider, resourceProvider, resourceProvider, resourceProvider, resourceProvider, resourceProvider, resourceProvider
attribute NC_GLOBAL Conventions String CF-1.4, ACDD-1.3
attribute NC_GLOBAL creator_email String ncdc.isccp.team at noaa.gov
attribute NC_GLOBAL creator_institution String NOAA National Centers for Environmental Information (NCEI)
attribute NC_GLOBAL creator_name String NOAA National Centers for Environmental Information (NCEI); Ken Knapp, Bill Hankins, Alisa Young, Anand Inamdar
attribute NC_GLOBAL creator_type String institution
attribute NC_GLOBAL creator_url String http://www.ncei.noaa.gov (external link)
attribute NC_GLOBAL date_created String 2019-07-19T07:27:35Z
attribute NC_GLOBAL date_issued String 2019-07-19T07:27:35Z
attribute NC_GLOBAL date_metadata_modified String 2019-07-19T07:27:35Z
attribute NC_GLOBAL date_modified String 2019-07-19T07:27:35Z
attribute NC_GLOBAL Easternmost_Easting double 359.5
attribute NC_GLOBAL geospatial_bounds String POLYGON((-90.0 0.0, -90.0 360.0, 90.0 360.0, 90.0 0.0, -90.0 0.0))
attribute NC_GLOBAL geospatial_bounds_crs String EPSG:4326
attribute NC_GLOBAL geospatial_lat_max double 89.5
attribute NC_GLOBAL geospatial_lat_min double -89.5
attribute NC_GLOBAL geospatial_lat_resolution double 1.0
attribute NC_GLOBAL geospatial_lat_units String degrees_north
attribute NC_GLOBAL geospatial_lon_max double 359.5
attribute NC_GLOBAL geospatial_lon_min double 0.5
attribute NC_GLOBAL geospatial_lon_resolution double 1.0
attribute NC_GLOBAL geospatial_lon_units String degrees_east
attribute NC_GLOBAL history String Fri Jul 19 07:27:36 2019: ncatted -a units,lon_bounds,c,c,degrees_east -a comment,lon_bounds,c,c,longitude values at east and west bounds of the grid cell -a units,lat_bounds,c,c,degrees_north -a comment,lat_bounds,c,c,latitude values at north and south bounds of the gridcell -a units,pc_bounds,c,c,hPa -a comment,pc_bounds,c,c,Pressure values at bounds of the pressure bins -a units,tau_bounds,c,c,1 -a comment,tau_bounds,c,c,Optical depth values at bounds of the depth bins -a axis,lat,c,c,Y -a axis,lon,c,c,X -a geospatial_lat_min,global,m,f,-90 -a geospatial_lat_max,global,m,f,90 -a geospatial_lat_resolution,global,m,f,1 -a geospatial_lon_min,global,m,f,0 -a geospatial_lon_max,global,m,f,360 -a geospatial_lon_resolution,global,m,f,1 -a geospatial_vertical_min,global,m,f,10 -a geospatial_vertical_max,global,m,f,1025 -a units,satcodes,d,, -a units,satids,d,, -a units,satnames,d,, -a units,cloud_irtype_label,d,, -a units,cloud_type_label,d,, /glfs2/isccp-p/basic/intermediate//temp_file3.nc -O /glfs2/isccp-p/prd/basic/hgg/2017/ISCCP-Basic.HGG.0.GLOBAL.2017.06.30.1800.GPC.10KM.CS00.EA1.00.nc
Fri Jul 19 07:27:35 2019: ncatted -a conversion_table,,d,, -a title,global,a,c, Basic -a description,snoice,m,c,Mean snow/ice cover for the cell -a source,global,o,c,The source for the ISCCP Basic data files are the original ISCCP files. ISCCP Basic represents a subset of variables from ISCCP that have been remapped to equal-angle, do not use table to store data, etc. in order to make the files CF compliant -a product_version,global,m,c,v01r00 Basic -a date_issued,global,m,c,2019-07-19T07:27:35Z -a date_created,global,m,c,2019-07-19T07:27:35Z -a date_modified,global,m,c,2019-07-19T07:27:35Z -a date_metadata_modified,global,m,c,2019-07-19T07:27:35Z -a description,levpc,c,c,Coordinate variable for cloud frequency histograms -a description,levtau,c,c,Coordinate variable for cloud frequency histograms -a units,^cldamt,m,c,percent -a bounds,time,c,c,time_bounds -a valid_min,n_total,m,s,0 -a valid_max,n_total,m,s,32766 -a valid_min,snoice,m,b,0 -a valid_max,snoice,m,b,100 -a long_name,cldamt,m,c,Cloud amount -a long_name,cldamt_ir,m,c,Cloud amount (using IR data) -a long_name,cldamt_irmarg,m,c,Cloud amount uncertainty (using IR data) -a note,cldamt_irmarg,c,c,This is the ISCCP variable: n_irmarg_cloudy represented as a fraction. It represents the fraction of pixels that are colder than clear sky by a smaller amount than what is flagged in cldamt_ir and represents cloud amount uncertainty. -a long_name,cldamt_types,m,c,Cloud amount by cloud type -a long_name,cldamt_irtypes,m,c,Cloud amount by IR cloud type -a calendar,time,c,c,gregorian -a cell_methods,eqheight,c,c,area: mean -a cell_methods,pc,c,c,area: mean -a cell_methods,pc_ir,c,c,area: mean -a cell_methods,pc_pcdist,c,c,area: mean -a cell_methods,pc_type,c,c,area: mean -a cell_methods,^sigma,c,c,area: standard_deviation -a cell_methods,^tc,c,c,area: mean -a cell_methods,tau,c,c,area: mean -a cell_methods,tau_ir,c,c,area: mean -a cell_methods,tau_type,c,c,area: mean -a cell_methods,^wp,c,c,area: mean /glfs2/isccp-p/basic/intermediate//temp_file2.nc -O /glfs2/isccp-p/basic/intermediate//temp_file3.nc
Fri Jul 19 07:27:33 2019: ncks --no-abc -4 -L 5 /glfs2/isccp-p/basic/intermediate//temp_file.nc -O /glfs2/isccp-p/basic/intermediate//temp_file2.nc
2019-05-14T19:51:21.000Z bhankins d1fill_weekly /glfs2/isccp-p/prd/wrkdirs/2017_06 2017 06 01 2017 06 30
2019-05-14T19:46:11.000Z bhankins d1fill_daily /glfs2/isccp-p/prd/wrkdirs/2017_06 2017 06 01 2017 06 30
2019-05-14T19:37:57.000Z bhankins d1fill_diurnal /glfs2/isccp-p/prd/wrkdirs/2017_06 2017 06 01 2017 06 30
2019-03-28T20:12:49.000Z bhankins d1prod /glfs2/isccp-p/prd/wrkdirs/2017_06 2017 06 01 2017 06 30 ;
FMRC Best Dataset
attribute NC_GLOBAL id String ISCCP.HGG.0.GLOBAL.2017.06.30.1800.GPC.10KM.CS00.EQ1.00.nc
attribute NC_GLOBAL infoUrl String https://www.ncei.noaa.gov/thredds/catalog/cdr/isccp_hgg_agg/catalog.html?dataset=cdr/isccp_hgg_agg/ISCCP-H_Aggregation_Basic_Gridded_Global_(HGG)_best.ncd
attribute NC_GLOBAL institution String International Cloud Climatology Project (ISCPP)
attribute NC_GLOBAL instrument String Himawari-8 AHI, SEVIRI, GOES-15 Imager, GOES-13 Imager, SEVIRI,, AVHRR-3
attribute NC_GLOBAL instrument_vocabulary String NASA Global Change Master Directory (GCMD) Instruments Keywords Version 8.1
attribute NC_GLOBAL isccp_day int 30
attribute NC_GLOBAL isccp_gmt int 18
attribute NC_GLOBAL isccp_input_files String nom/ds/ISCCP.HGS.v01r00.MOP2.2017.06.30.1800.NOM.10KM.CS1239012419.EQ1.00.nc ins/ds/ISCCP.HGS.0.MET8.2017.06.30.1800.MTI.10KM.CS1239012419.EQ1.00.nc gow/ds/ISCCP.HGS.0.GOEF.2017.06.30.1800.CSU.10KM.CS1239012419.EQ1.00.nc met/ds/ISCCP.HGS.0.META.2017.06.30.1800.EUM.10KM.CS1239012419.EQ1.00.nc gms/ds/ISCCP.HGS.0.HIM8.2017.06.30.1800.JMA.10KM.CS1239012419.EQ1.00.nc noa/ds/ISCCP.HGS.0.NOAJ.2017.06.30.1800.NOA.10KM.CS1239012419.EQ1.00.nc goe/ds/ISCCP.HGS.0.GOED.2017.06.30.1800.AES.10KM.CS1239012419.EQ1.00.nc
attribute NC_GLOBAL isccp_month int 6
attribute NC_GLOBAL isccp_number_of_satellites_contributing int 7
attribute NC_GLOBAL isccp_percent_empty_cells int 0
attribute NC_GLOBAL isccp_percent_full_cells int 100
attribute NC_GLOBAL isccp_year int 2017
attribute NC_GLOBAL keywords String Earth Science > Atmosphere > Atmospheric Chemistry > Oxygen Compounds > Ozone, Earth Science > Atmosphere > Atmospheric Pressure > Surface Pressure, Earth Science > Atmosphere > Atmospheric Temperature, Earth Science > Atmosphere > Atmospheric Temperature > Surface Temperature > Air Temperature, Earth Science > Atmosphere > Atmospheric Temperature > Surface Temperature > Skin Temperature, Earth Science > Atmosphere > Atmospheric Temperature > Upper Air Temperature > Vertical Profiles, Earth Science > Atmosphere > Atmospheric Water Vapor, Earth Science > Atmosphere > Atmospheric Water Vapor > Humidity, Earth Science > Atmosphere > Atmospheric Water Vapor > Water Vapor Profiles, Earth Science > Atmosphere > Clouds, Earth Science > Atmosphere > Clouds > Cloud Microphysics > Cloud Liquid Water/Ice, Earth Science > Atmosphere > Clouds > Cloud Microphysics > Cloud Optical Depth/Thickness, Earth Science > Atmosphere > Clouds > Cloud Properties, Earth Science > Atmosphere > Clouds > Cloud Properties > Cloud Fraction, Earth Science > Atmosphere > Clouds > Cloud Properties > Cloud Top Pressure, Earth Science > Atmosphere > Clouds > Cloud Properties > Cloud Top Temperature, Earth Science > Atmosphere > Clouds > Cloud Properties > Cloud Vertical Distribution, Earth Science > Atmosphere > Clouds > Cloud Types, Earth Science > Cryosphere > Snow/Ice, Earth Science > Land Surface > Surface Radiative Properties, Earth Science > Land Surface > Surface Radiative Properties > Reflectance, Earth Science > Land Surface > Surface Thermal Properties, Earth Science > Land Surface > Surface Thermal Properties > Skin Temperature, Earth Science > Land Surface > Topography > Terrain Elevation, Earth Science > Oceans > Ocean Temperature > Sea Surface Temperature, Earth Science > Spectral/Engineering > Infrared Wavelengths > Brightness Temperature, Earth Science > Spectral/Engineering > Infrared Wavelengths > Infrared Imagery, Earth Science > Spectral/Engineering > Platform Characteristics > Viewing Geometry, Earth Science > Spectral/Engineering > Sensor Characteristics > Viewing Geometry, Earth Science > Spectral/Engineering > Visible Wavelengths > Visible Imagery, Earth Science > Spectral/Engineering > Visible Wavelengths > Visible Radiance
attribute NC_GLOBAL keywords_vocabulary String NASA Global Change Master Directory (GCMD) Science Keyword Version 8.1
attribute NC_GLOBAL license String The data may be used and redistributed for free but is not intended
for legal use, since it may contain inaccuracies. Neither the data
Contributor, ERD, NOAA, nor the United States Government, nor any
of their employees or contractors, makes any warranty, express or
implied, including warranties of merchantability and fitness for a
particular purpose, or assumes any legal liability for the accuracy,
completeness, or usefulness, of this information.
attribute NC_GLOBAL location String Proto fmrc:ISCCP-H_Aggregation_Basic_Gridded_Global_(HGG)
attribute NC_GLOBAL metadata_link String gov.noaa.ncdc.C00956
attribute NC_GLOBAL naming_authority String gov.noaa.ncdc
attribute NC_GLOBAL NCO String netCDF Operators version 4.7.5 (Homepage = http://nco.sf.net, Code = https://github.com/nco/nco)
attribute NC_GLOBAL Northernmost_Northing double 89.5
attribute NC_GLOBAL platform String HIM-8, METEOSAT-10, GOES-15, GOES-13, METEOSAT-8, NOAA-19, METOP-A
attribute NC_GLOBAL platform_vocabulary String NASA Global Change Master Directory (GCMD) Platforms Keyword Version 8.1
attribute NC_GLOBAL processing_level String 3
attribute NC_GLOBAL product_version String v01r00 Basic
attribute NC_GLOBAL program String NOAA Climate Data Record Program for satellites, FY 2016
attribute NC_GLOBAL project String International Satellite Cloud Climatology Project (ISCCP)
attribute NC_GLOBAL publisher_email String ncdc.isccp.team at noaa.gov
attribute NC_GLOBAL publisher_institution String NOAA National Centers for Environmental Information (NCEI)
attribute NC_GLOBAL publisher_name String NOAA National Centers for Environmental Information (NCEI)
attribute NC_GLOBAL publisher_type String institution
attribute NC_GLOBAL publisher_url String http://www.ncei.noaa.gov (external link)
attribute NC_GLOBAL references String 'Please include a citation for this paper in addition to the dataset citation when using the dataset: Rossow, W.B. and R.A. Schiffer, 1999: Advances in understanding clouds from ISCCP. Bulletin of the American Meteorological Society, 80, 2261-2287. doi: https://dx.doi.org/10.1175/1520-0477(1999)080<2261:AIUCFI>2.0.CO;2','ISCCP CDR Climate Algorithm Theoretical Basis Document (C-ATBD)'
attribute NC_GLOBAL source String The source for the ISCCP Basic data files are the original ISCCP files. ISCCP Basic represents a subset of variables from ISCCP that have been remapped to equal-angle, do not use table to store data, etc. in order to make the files CF compliant
attribute NC_GLOBAL sourceUrl String https://www.ncei.noaa.gov/thredds/dodsC/cdr/isccp_hgg_agg/ISCCP-H_Aggregation_Basic_Gridded_Global_(HGG)_best.ncd
attribute NC_GLOBAL Southernmost_Northing double -89.5
attribute NC_GLOBAL summary String ISCCP H Global Gridded (HGG) Dimensioned By time, latitude, longitude.
attribute NC_GLOBAL time_coverage_duration String PT3H
attribute NC_GLOBAL time_coverage_end String 2017-06-30T22:00:00Z
attribute NC_GLOBAL time_coverage_resolution String PT3H
attribute NC_GLOBAL time_coverage_start String 1983-07-01T01:00:00Z
attribute NC_GLOBAL title String ISCCP H Global Gridded (HGG) By time, latitude, longitude
attribute NC_GLOBAL Westernmost_Easting double 0.5
dimension time   double nValues=99352, evenlySpaced=true, averageSpacing=3h 0m 0s
attribute time _CoordinateAxisType String Time
attribute time actual_range double 4.258692E8, 1.49886E9
attribute time axis String T
attribute time bounds String time_bounds
attribute time calendar String proleptic_gregorian
attribute time ioos_category String Time
attribute time long_name String Forecast time for ForecastModelRunCollection
attribute time missing_value double NaN
attribute time standard_name String time
attribute time time_origin String 01-JAN-1970 00:00:00
attribute time units String seconds since 1970-01-01T00:00:00Z
dimension latitude   float nValues=180, evenlySpaced=true, averageSpacing=1.0
attribute latitude _ChunkSizes int 180
attribute latitude _CoordinateAxisType String Lat
attribute latitude actual_range float -89.5, 89.5
attribute latitude axis String Y
attribute latitude bounds String lat_bounds
attribute latitude ioos_category String Location
attribute latitude long_name String Latitude
attribute latitude standard_name String latitude
attribute latitude units String degrees_north
attribute latitude valid_max float 90.0
attribute latitude valid_min float -90.0
dimension longitude   float nValues=360, evenlySpaced=true, averageSpacing=1.0
attribute longitude _ChunkSizes int 360
attribute longitude _CoordinateAxisType String Lon
attribute longitude actual_range float 0.5, 359.5
attribute longitude axis String X
attribute longitude bounds String lon_bounds
attribute longitude ioos_category String Location
attribute longitude long_name String Longitude
attribute longitude standard_name String longitude
attribute longitude units String degrees_east
attribute longitude valid_max float 360.0
attribute longitude valid_min float 0.0
variable eqheight   short time, latitude, longitude
attribute eqheight _ChunkSizes int 5, 180, 360
attribute eqheight cell_methods String area: mean
attribute eqheight coordinates String time_run time lat lon
attribute eqheight long_name String Equal-area cell mean topographic height
attribute eqheight units String m
variable satcode   byte time, latitude, longitude
attribute satcode _ChunkSizes int 8, 180, 360
attribute satcode _FillValue byte -1
attribute satcode coordinates String time_run time lat lon
attribute satcode long_name String Satellite code number
attribute satcode units String 1
attribute satcode valid_max byte 99
attribute satcode valid_min byte 0
variable cell_origin   byte time, latitude, longitude
attribute cell_origin _ChunkSizes int 8, 180, 360
attribute cell_origin _FillValue byte -1
attribute cell_origin coordinates String time_run time lat lon
attribute cell_origin flag_meanings String original single-satellite-fill multi-satellite-fill
attribute cell_origin flag_values byte 0, 1, 2
attribute cell_origin long_name String Cell origin code
attribute cell_origin units String 1
variable fill_gmts   byte time, latitude, longitude
attribute fill_gmts _ChunkSizes int 8, 180, 360
attribute fill_gmts _FillValue byte -1
attribute fill_gmts coordinates String time_run time lat lon
attribute fill_gmts long_name String Number of missing GMTs in gap
attribute fill_gmts units String 1
variable fill_days   byte time, latitude, longitude
attribute fill_days _ChunkSizes int 8, 180, 360
attribute fill_days _FillValue byte -1
attribute fill_days coordinates String time_run time lat lon
attribute fill_days long_name String Number of missing days in gap
attribute fill_days units String 1
variable scene   byte time, latitude, longitude
attribute scene _ChunkSizes int 8, 180, 360
attribute scene coordinates String time_run time lat lon
attribute scene flag_meanings String day-water day-land day-coast night-water night-land night-coast no-data
attribute scene flag_values short 1, 2, 3, 101, 102, 103, -1
attribute scene long_name String Scene identification
variable snoice   byte time, latitude, longitude
attribute snoice _ChunkSizes int 8, 180, 360
attribute snoice _FillValue byte -1
attribute snoice coordinates String time_run time lat lon
attribute snoice description String Mean snow/ice cover for the cell
attribute snoice long_name String Snow/ice cover
attribute snoice units String percent
attribute snoice valid_max byte 100
attribute snoice valid_min byte 0
variable n_total   short time, latitude, longitude
attribute n_total _ChunkSizes int 5, 180, 360
attribute n_total _FillValue short 32767
attribute n_total coordinates String time_run time lat lon
attribute n_total long_name String Total number of pixels
attribute n_total standard_name String number_of_observations
attribute n_total units String 1
attribute n_total valid_max short 32766
attribute n_total valid_min short 0
variable cldamt   float time, latitude, longitude
attribute cldamt _ChunkSizes int 5, 180, 360
attribute cldamt coordinates String time_run time lat lon
attribute cldamt description String Cloud detected by either IR or VIS thresholds (IR at night but diurnally corrected), amount determined by ratio with total number of pixels
attribute cldamt long_name String Cloud amount
attribute cldamt standard_name String isccp_cloud_area_fraction
attribute cldamt units String percent
variable cldamt_ir   float time, latitude, longitude
attribute cldamt_ir _ChunkSizes int 5, 180, 360
attribute cldamt_ir coordinates String time_run time lat lon
attribute cldamt_ir description String Cloud detected by IR threshold regardless of VIS threshold
attribute cldamt_ir long_name String Cloud amount (using IR data)
attribute cldamt_ir standard_name String isccp_cloud_area_fraction
attribute cldamt_ir units String percent
variable cldamt_irmarg   float time, latitude, longitude
attribute cldamt_irmarg _ChunkSizes int 5, 180, 360
attribute cldamt_irmarg coordinates String time_run time lat lon
attribute cldamt_irmarg description String Marginal cloud detection by IR threshold regardless of VIS threshold
attribute cldamt_irmarg long_name String Cloud amount uncertainty (using IR data)
attribute cldamt_irmarg note String This is the ISCCP variable: n_irmarg_cloudy represented as a fraction. It represents the fraction of pixels that are colder than clear sky by a smaller amount than what is flagged in cldamt_ir and represents cloud amount uncertainty.
attribute cldamt_irmarg units String percent
variable pc   float time, latitude, longitude
attribute pc _ChunkSizes int 5, 180, 360
attribute pc cell_methods String area: mean
attribute pc coordinates String time_run time lat lon
attribute pc description String Grid cell average of cloud top pressure with VIS-adjusted location during daytime and nighttime location diurnally corrected
attribute pc long_name String Mean cloud-top pressure (PC) for cloudy pixels
attribute pc standard_name String air_pressure_at_cloud_top
attribute pc units String hPa
variable pc_ir   float time, latitude, longitude
attribute pc_ir _ChunkSizes int 5, 180, 360
attribute pc_ir cell_methods String area: mean
attribute pc_ir coordinates String time_run time lat lon
attribute pc_ir description String Grid cell average of cloud top pressures for clouds detected by IR threshold regardless of VIS threshold, no VIS-adjustment of location
attribute pc_ir long_name String Mean cloud-top pressure (PC) for IR-cloudy pixels
attribute pc_ir standard_name String air_pressure_at_cloud_top
attribute pc_ir units String hPa
variable sigma_pc_ir   float time, latitude, longitude
attribute sigma_pc_ir _ChunkSizes int 5, 180, 360
attribute sigma_pc_ir cell_methods String area: standard_deviation
attribute sigma_pc_ir coordinates String time_run time lat lon
attribute sigma_pc_ir description String Grid cell spatial standard deviation of cloud top pressure for clouds detected by IR threshold regardless of VIS threshold, no VIS-adjustment of location
attribute sigma_pc_ir long_name String Standard deviation of cloud-top pressure (PC) for IR-cloudy pixels
attribute sigma_pc_ir units String hPa
variable tc   float time, latitude, longitude
attribute tc _ChunkSizes int 5, 180, 360
attribute tc cell_methods String area: mean
attribute tc coordinates String time_run time lat lon
attribute tc description String Grid cell average of cloud top temperature with VIS-adjusted location during daytime and nighttime location diurnally corrected
attribute tc long_name String Mean cloud-top temperature (TC) for cloudy pixels
attribute tc standard_name String air_temperature_at_cloud_top
attribute tc units String K
variable tc_ir   float time, latitude, longitude
attribute tc_ir _ChunkSizes int 5, 180, 360
attribute tc_ir cell_methods String area: mean
attribute tc_ir coordinates String time_run time lat lon
attribute tc_ir description String Grid cell average of cloud top temperatures for clouds detected by IR threshold regardless of VIS threshold, no VIS-adjustment of location
attribute tc_ir long_name String Mean cloud-top temperature (TC) for IR-cloudy pixels
attribute tc_ir standard_name String air_temperature_at_cloud_top
attribute tc_ir units String K
variable sigma_tc_ir   float time, latitude, longitude
attribute sigma_tc_ir _ChunkSizes int 5, 180, 360
attribute sigma_tc_ir cell_methods String area: standard_deviation
attribute sigma_tc_ir coordinates String time_run time lat lon
attribute sigma_tc_ir description String Grid cell spatial standard deviation of cloud top temperature for clouds detected by IR threshold regardless of VIS threshold, no VIS-adjustment of location
attribute sigma_tc_ir long_name String Standard deviation of cloud-top temperature (TC) for IR-cloudy pixels
attribute sigma_tc_ir units String K
variable tau   float time, latitude, longitude
attribute tau _ChunkSizes int 5, 180, 360
attribute tau cell_methods String area: mean
attribute tau coordinates String time_run time lat lon
attribute tau description String Grid cell (radiatively-weighted) average of cloud visible optical thickness during daytime and diurnally interpolated values during nighttime, liquid and ice clouds combined
attribute tau long_name String Mean cloud optical depth (TAU) for cloudy pixels
attribute tau standard_name String atmosphere_optical_thickness_due_to_cloud
attribute tau units String 1
variable tau_ir   float time, latitude, longitude
attribute tau_ir _ChunkSizes int 5, 180, 360
attribute tau_ir cell_methods String area: mean
attribute tau_ir coordinates String time_run time lat lon
attribute tau_ir description String Grid cell (radiatively-weighted) average of visible optical thickness for clouds detected by IR threshold regardless of VIS threshold, liquid and ice clouds combined
attribute tau_ir long_name String Mean cloud optical depth (TAU) for IR-cloudy pixels
attribute tau_ir standard_name String atmosphere_optical_thickness_due_to_cloud
attribute tau_ir units String 1
variable sigma_tau_ir   float time, latitude, longitude
attribute sigma_tau_ir _ChunkSizes int 5, 180, 360
attribute sigma_tau_ir cell_methods String area: standard_deviation
attribute sigma_tau_ir coordinates String time_run time lat lon
attribute sigma_tau_ir description String Grid cell spatial standard deviation of visible optical thickness for clouds detected by IR threshold regardless of VIS threshold, liquid and ice clouds combined
attribute sigma_tau_ir long_name String Standard deviation of cloud optical depth (TAU) for IR-cloudy pixels
attribute sigma_tau_ir units String 1
variable wp   float time, latitude, longitude
attribute wp _ChunkSizes int 5, 180, 360
attribute wp cell_methods String area: mean
attribute wp coordinates String time_run time lat lon
attribute wp description String Grid cell average of cloud water path (linear average of optical thickness times particle radius) during daytime and diurnally interpolated values during nighttime, liquid and ice clouds combined
attribute wp long_name String Mean cloud water path (WP) for cloudy pixels
attribute wp units String cm
variable wp_ir   float time, latitude, longitude
attribute wp_ir _ChunkSizes int 5, 180, 360
attribute wp_ir cell_methods String area: mean
attribute wp_ir coordinates String time_run time lat lon
attribute wp_ir description String Grid cell average of cloud water path (linear average of optical thickness times particle radius) for clouds detected by IR threshold regardless of VIS threshold, liquid and ice clouds combined
attribute wp_ir long_name String Mean cloud water path (WP) for IR-cloudy pixels
attribute wp_ir units String cm
variable sigma_wp_ir   float time, latitude, longitude
attribute sigma_wp_ir _ChunkSizes int 5, 180, 360
attribute sigma_wp_ir cell_methods String area: standard_deviation
attribute sigma_wp_ir coordinates String time_run time lat lon
attribute sigma_wp_ir description String Grid cell spatial standard deviation of cloud water path for clouds detected by IR threshold regardless of VIS threshold, liquid and ice clouds combined
attribute sigma_wp_ir long_name String Standard deviation of cloud water path (WP) for IR-cloudy pixels
attribute sigma_wp_ir units String cm

The information in the table above is also available in other file formats (.csv, .htmlTable, .itx, .json, .jsonlCSV1, .jsonlCSV, .jsonlKVP, .mat, .nc, .nccsv, .tsv, .xhtml) via a RESTful web service.


 
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