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| Grid DAP Data | Sub- set | Table DAP Data | Make A Graph | W M S | Source Data Files | Title | Sum- mary | Meta- data | Back- ground Info | RSS | Institution | Dataset ID | ||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| data | graph | ISCCP H Gridded By Hour (HGH) By time, latitude, longitude | 
| M | background | 
|
| iscpp_hgh_by_time_lat_lon |
| 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. |
| 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 |
| attribute | NC_GLOBAL | date_created | String | 2019-07-19T06:48:07Z |
| attribute | NC_GLOBAL | date_issued | String | 2019-07-19T06:48:07Z |
| attribute | NC_GLOBAL | date_metadata_modified | String | 2019-07-19T06:48:07Z |
| attribute | NC_GLOBAL | date_modified | String | 2019-07-19T06:48:07Z |
| 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 06:48:07 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,2019-07-19T06:48:07Z -a date_created,global,m,c,2019-07-19T06:48:07Z -a date_modified,global,m,c,2019-07-19T06:48:07Z -a date_metadata_modified,global,m,c,2019-07-19T06:48:07Z -a long_name,cldbin_bounds,c,c,Boundaries of the cloud fractional amounts -a description,cldbin_bounds,c,c,The frequency of occurrence of this amount of cloud cover is provided in cldamt_dist -a units,cldbin_bounds,c,c,percent -a cell_methods,eqheight,c,c,area: mean -a cell_methods,snoice,c,c,area: mean -a cell_methods,cldamt,c,c,area: mean time: mean within days -a cell_methods,^pc,c,c,area: mean time: mean within days -a cell_methods,^tc,c,c,area: mean time: mean within days -a cell_methods,^tau,c,c,area: mean time: mean within days -a cell_methods,^wp,c,c,area: mean time: mean within days -a cell_methods,_time$,c,c,area: mean time: standard_deviation -a cell_methods,_space$,c,c,area: standard_deviation time: mean -a cell_methods,cldamt_ir,c,c,area: mean time: mean within days -a long_name,cldamt_irmarg,m,c,Cloud amount uncertainty (using IR data) -a cell_methods,cldamt_irmarg,c,c,area: mean time: mean within days -a note,cldamt_irmarg,c,c,This is the ISCCP variable: cldamt_irmarg. 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 cell_methods,cldamt_irtypes,c,c,area: mean time: mean within days -a cell_methods,cldamt_types,c,c,area: mean time: mean within days -a cell_methods,snoice,c,c,area: mean time: mean within days /glfs2/isccp-p/basic/intermediate//temp_file2.nc -O /glfs2/isccp-p/basic/intermediate//temp_file3.nc Fri Jul 19 06:48:06 2019: ncks --no-abc -4 -L 5 /glfs2/isccp-p/basic/intermediate//temp_file.nc -O /glfs2/isccp-p/basic/intermediate//temp_file2.nc 2019-05-14T19:54:07.000Z bhankins d2proda /glfs2/isccp-p/prd/wrkdirs/2017_06 2017 06 ; FMRC Best Dataset |
| attribute | NC_GLOBAL | id | String | ISCCP.HGH.0.GLOBAL.2017.06.99.1800.GPC.10KM.CS00.EQ1.00.nc |
| attribute | NC_GLOBAL | infoUrl | String | https://www.ncei.noaa.gov/thredds/catalog/cdr/isccp_hgh_agg/catalog.html?dataset=cdr/isccp_hgh_agg/ISCCP-H_Aggregation_Basic_Gridded_By_Hour_(HGH)_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_gmt | int | 18 |
| attribute | NC_GLOBAL | isccp_input_files | String | ISCCP.HGG.0.GLOBAL.2017.06.01.1800.GPC.10KM.CS00.EQ1.00.nc ISCCP.HGG.0.GLOBAL.2017.06.02.1800.GPC.10KM.CS00.EQ1.00.nc ISCCP.HGG.0.GLOBAL.2017.06.03.1800.GPC.10KM.CS00.EQ1.00.nc ISCCP.HGG.0.GLOBAL.2017.06.04.1800.GPC.10KM.CS00.EQ1.00.nc ISCCP.HGG.0.GLOBAL.2017.06.05.1800.GPC.10KM.CS00.EQ1.00.nc ISCCP.HGG.0.GLOBAL.2017.06.06.1800.GPC.10KM.CS00.EQ1.00.nc ISCCP.HGG.0.GLOBAL.2017.06.07.1800.GPC.10KM.CS00.EQ1.00.nc ISCCP.HGG.0.GLOBAL.2017.06.08.1800.GPC.10KM.CS00.EQ1.00.nc ISCCP.HGG.0.GLOBAL.2017.06.09.1800.GPC.10KM.CS00.EQ1.00.nc ISCCP.HGG.0.GLOBAL.2017.06.10.1800.GPC.10KM.CS00.EQ1.00.nc ISCCP.HGG.0.GLOBAL.2017.06.11.1800.GPC.10KM.CS00.EQ1.00.nc ISCCP.HGG.0.GLOBAL.2017.06.12.1800.GPC.10KM.CS00.EQ1.00.nc ISCCP.HGG.0.GLOBAL.2017.06.13.1800.GPC.10KM.CS00.EQ1.00.nc ISCCP.HGG.0.GLOBAL.2017.06.14.1800.GPC.10KM.CS00.EQ1.00.nc ISCCP.HGG.0.GLOBAL.2017.06.15.1800.GPC.10KM.CS00.EQ1.00.nc ISCCP.HGG.0.GLOBAL.2017.06.16.1800.GPC.10KM.CS00.EQ1.00.nc ISCCP.HGG.0.GLOBAL.2017.06.17.1800.GPC.10KM.CS00.EQ1.00.nc ISCCP.HGG.0.GLOBAL.2017.06.18.1800.GPC.10KM.CS00.EQ1.00.nc ISCCP.HGG.0.GLOBAL.2017.06.19.1800.GPC.10KM.CS00.EQ1.00.nc ISCCP.HGG.0.GLOBAL.2017.06.20.1800.GPC.10KM.CS00.EQ1.00.nc ISCCP.HGG.0.GLOBAL.2017.06.21.1800.GPC.10KM.CS00.EQ1.00.nc ISCCP.HGG.0.GLOBAL.2017.06.22.1800.GPC.10KM.CS00.EQ1.00.nc ISCCP.HGG.0.GLOBAL.2017.06.23.1800.GPC.10KM.CS00.EQ1.00.nc ISCCP.HGG.0.GLOBAL.2017.06.24.1800.GPC.10KM.CS00.EQ1.00.nc ISCCP.HGG.0.GLOBAL.2017.06.25.1800.GPC.10KM.CS00.EQ1.00.nc ISCCP.HGG.0.GLOBAL.2017.06.26.1800.GPC.10KM.CS00.EQ1.00.nc ISCCP.HGG.0.GLOBAL.2017.06.27.1800.GPC.10KM.CS00.EQ1.00.nc ISCCP.HGG.0.GLOBAL.2017.06.28.1800.GPC.10KM.CS00.EQ1.00.nc ISCCP.HGG.0.GLOBAL.2017.06.29.1800.GPC.10KM.CS00.EQ1.00.nc ISCCP.HGG.0.GLOBAL.2017.06.30.1800.GPC.10KM.CS00.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 | 17 |
| 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 Frequency, 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 |
| 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_By_Hour_(HGH) |
| 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 |
| 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_hgh_agg/ISCCP-H_Aggregation_Basic_Gridded_By_Hour_(HGH)_best.ncd |
| attribute | NC_GLOBAL | Southernmost_Northing | double | -89.5 |
| attribute | NC_GLOBAL | summary | String | ISCCP H Gridded By Hour (HGH) Dimensioned By time, latitude, longitude. |
| attribute | NC_GLOBAL | time_coverage_duration | String | P1M |
| attribute | NC_GLOBAL | time_coverage_end | String | 2017-06-30T21:00:00Z |
| attribute | NC_GLOBAL | time_coverage_resolution | String | PT3H |
| attribute | NC_GLOBAL | time_coverage_start | String | 1983-07-31T00:00:00Z |
| attribute | NC_GLOBAL | title | String | ISCCP H Gridded By Hour (HGH) By time, latitude, longitude |
| attribute | NC_GLOBAL | Westernmost_Easting | double | 0.5 |
| dimension | time | double | nValues=3264, evenlySpaced=false, averageSpacing=3 days 19h 7m 21s | |
| attribute | time | _CoordinateAxisType | String | Time |
| attribute | time | actual_range | double | 4.284576E8, 1.4988564E9 |
| 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 | eqland | short | time, latitude, longitude | |
| attribute | eqland | _ChunkSizes | int | 5, 180, 360 |
| attribute | eqland | coordinates | String | time_run time lat lon |
| attribute | eqland | long_name | String | Equal-area cell land area |
| attribute | eqland | units | String | percent |
| 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 | 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 | water land coast no-data |
| attribute | scene | flag_values | short | 1, 2, 3, -1 |
| attribute | scene | long_name | String | Scene identification |
| variable | n_obs | byte | time, latitude, longitude | |
| attribute | n_obs | _ChunkSizes | int | 8, 180, 360 |
| attribute | n_obs | _FillValue | byte | -1 |
| attribute | n_obs | coordinates | String | time_run time lat lon |
| attribute | n_obs | long_name | String | Number of observations |
| attribute | n_obs | standard_name | String | number_of_observations |
| attribute | n_obs | units | String | 1 |
| attribute | n_obs | valid_max | byte | 31 |
| attribute | n_obs | valid_min | byte | 0 |
| variable | n_day | byte | time, latitude, longitude | |
| attribute | n_day | _ChunkSizes | int | 8, 180, 360 |
| attribute | n_day | _FillValue | byte | -1 |
| attribute | n_day | coordinates | String | time_run time lat lon |
| attribute | n_day | long_name | String | Number of day-time observations |
| attribute | n_day | units | String | 1 |
| attribute | n_day | valid_max | byte | 31 |
| attribute | n_day | valid_min | byte | 0 |
| variable | n_orig | byte | time, latitude, longitude | |
| attribute | n_orig | _ChunkSizes | int | 8, 180, 360 |
| attribute | n_orig | _FillValue | byte | -1 |
| attribute | n_orig | coordinates | String | time_run time lat lon |
| attribute | n_orig | long_name | String | Number of original data cells |
| attribute | n_orig | units | String | 1 |
| attribute | n_orig | valid_max | byte | 31 |
| attribute | n_orig | valid_min | byte | 0 |
| variable | n_toplev | byte | time, latitude, longitude | |
| attribute | n_toplev | _ChunkSizes | int | 8, 180, 360 |
| attribute | n_toplev | _FillValue | byte | -1 |
| attribute | n_toplev | coordinates | String | time_run time lat lon |
| attribute | n_toplev | long_name | String | Number of satellite hierarchy top-level data cells |
| attribute | n_toplev | units | String | 1 |
| attribute | n_toplev | valid_max | byte | 31 |
| attribute | n_toplev | valid_min | byte | 0 |
| variable | cldamt | float | time, latitude, longitude | |
| attribute | cldamt | _ChunkSizes | int | 5, 180, 360 |
| attribute | cldamt | cell_methods | String | area: mean time: mean within days |
| attribute | cldamt | coordinates | String | time_run time lat lon |
| attribute | cldamt | long_name | String | Mean cloud amount |
| attribute | cldamt | standard_name | String | isccp_cloud_area_fraction |
| attribute | cldamt | units | String | percent |
| variable | pc | float | time, latitude, longitude | |
| attribute | pc | _ChunkSizes | int | 5, 180, 360 |
| attribute | pc | cell_methods | String | area: mean time: mean within days |
| attribute | pc | coordinates | String | time_run time lat lon |
| attribute | pc | long_name | String | Mean cloud pressure |
| attribute | pc | standard_name | String | air_pressure_at_cloud_top |
| attribute | pc | units | String | hPa |
| variable | sigma_pc_time | float | time, latitude, longitude | |
| attribute | sigma_pc_time | _ChunkSizes | int | 5, 180, 360 |
| attribute | sigma_pc_time | cell_methods | String | area: mean time: standard_deviation |
| attribute | sigma_pc_time | coordinates | String | time_run time lat lon |
| attribute | sigma_pc_time | description | String | Standard deviation of time variations of grid cell average cloud top pressure |
| attribute | sigma_pc_time | long_name | String | cloud-top pressure (PC) standard deviation over time |
| attribute | sigma_pc_time | units | String | hPa |
| variable | tc | float | time, latitude, longitude | |
| attribute | tc | _ChunkSizes | int | 5, 180, 360 |
| attribute | tc | cell_methods | String | area: mean time: mean within days |
| attribute | tc | coordinates | String | time_run time lat lon |
| attribute | tc | long_name | String | Mean cloud temperature |
| attribute | tc | standard_name | String | air_temperature_at_cloud_top |
| attribute | tc | units | String | K |
| variable | sigma_tc_time | float | time, latitude, longitude | |
| attribute | sigma_tc_time | _ChunkSizes | int | 5, 180, 360 |
| attribute | sigma_tc_time | cell_methods | String | area: mean time: standard_deviation |
| attribute | sigma_tc_time | coordinates | String | time_run time lat lon |
| attribute | sigma_tc_time | description | String | Standard deviation of time variations of grid cell average cloud top temperature |
| attribute | sigma_tc_time | long_name | String | cloud-top temperature (TC) standard deviation over time |
| attribute | sigma_tc_time | units | String | K |
| variable | tau | float | time, latitude, longitude | |
| attribute | tau | _ChunkSizes | int | 5, 180, 360 |
| attribute | tau | cell_methods | String | area: mean time: mean within days |
| attribute | tau | coordinates | String | time_run time lat lon |
| attribute | tau | description | String | Radiatively-weighted average cloud visible optical thickness, liquid and ice clouds combined |
| attribute | tau | long_name | String | Mean cloud cloud optical depth (TAU) |
| attribute | tau | standard_name | String | atmosphere_optical_thickness_due_to_cloud |
| attribute | tau | units | String | 1 |
| variable | sigma_tau_time | float | time, latitude, longitude | |
| attribute | sigma_tau_time | _ChunkSizes | int | 5, 180, 360 |
| attribute | sigma_tau_time | cell_methods | String | area: mean time: standard_deviation |
| attribute | sigma_tau_time | coordinates | String | time_run time lat lon |
| attribute | sigma_tau_time | description | String | Standard deviation of time variations of grid cell average cloud visible optical thickness, liquid and ice clouds combined |
| attribute | sigma_tau_time | long_name | String | cloud optical depth (TAU) standard deviation over time |
| attribute | sigma_tau_time | units | String | 1 |
| variable | wp | float | time, latitude, longitude | |
| attribute | wp | _ChunkSizes | int | 5, 180, 360 |
| attribute | wp | cell_methods | String | area: mean time: mean within days |
| attribute | wp | coordinates | String | time_run time lat lon |
| attribute | wp | description | String | Water path given by linear average of cloud optical thickness times particle radius, liquid and ice clouds combined |
| attribute | wp | long_name | String | Mean cloud water path |
| attribute | wp | units | String | cm |
| variable | sigma_wp_time | float | time, latitude, longitude | |
| attribute | sigma_wp_time | _ChunkSizes | int | 5, 180, 360 |
| attribute | sigma_wp_time | cell_methods | String | area: mean time: standard_deviation |
| attribute | sigma_wp_time | coordinates | String | time_run time lat lon |
| attribute | sigma_wp_time | description | String | Standard deviation of time variations of grid cell average cloud water path, liquid and ice clouds combined |
| attribute | sigma_wp_time | long_name | String | cloud water path (WP) standard deviation over time |
| attribute | sigma_wp_time | units | String | cm |
| variable | cldamt_ir | float | time, latitude, longitude | |
| attribute | cldamt_ir | _ChunkSizes | int | 5, 180, 360 |
| attribute | cldamt_ir | cell_methods | String | area: mean time: mean within days |
| attribute | cldamt_ir | coordinates | String | time_run time lat lon |
| attribute | cldamt_ir | description | String | Average cloud amount detected by IR threshold regardless of VIS threshold |
| attribute | cldamt_ir | long_name | String | Mean IR-cloud amount |
| attribute | cldamt_ir | units | String | percent |
| variable | pc_ir | float | time, latitude, longitude | |
| attribute | pc_ir | _ChunkSizes | int | 5, 180, 360 |
| attribute | pc_ir | cell_methods | String | area: mean time: mean within days |
| attribute | pc_ir | coordinates | String | time_run time lat lon |
| attribute | pc_ir | description | String | Average cloud top pressure for clouds detected by IR threshold regardless of VIS threshold |
| attribute | pc_ir | long_name | String | Mean IR-cloud pressure |
| attribute | pc_ir | standard_name | String | air_pressure_at_cloud_top |
| attribute | pc_ir | units | String | hPa |
| variable | sigma_pc_space | float | time, latitude, longitude | |
| attribute | sigma_pc_space | _ChunkSizes | int | 5, 180, 360 |
| attribute | sigma_pc_space | cell_methods | String | area: standard_deviation time: mean |
| attribute | sigma_pc_space | coordinates | String | time_run time lat lon |
| attribute | sigma_pc_space | description | String | Time average of spatial standard deviations of cloud top pressure |
| attribute | sigma_pc_space | long_name | String | cloud-top pressure (PC) IR-cloud mean standard deviation over space |
| attribute | sigma_pc_space | units | String | hPa |
| variable | tc_ir | float | time, latitude, longitude | |
| attribute | tc_ir | _ChunkSizes | int | 5, 180, 360 |
| attribute | tc_ir | cell_methods | String | area: mean time: mean within days |
| attribute | tc_ir | coordinates | String | time_run time lat lon |
| attribute | tc_ir | description | String | Average cloud top temperature for clouds detected by IR threshold regardless of VIS threshold |
| attribute | tc_ir | long_name | String | Mean IR-cloud temperature |
| attribute | tc_ir | standard_name | String | air_temperature_at_cloud_top |
| attribute | tc_ir | units | String | K |
| variable | sigma_tc_space | float | time, latitude, longitude | |
| attribute | sigma_tc_space | _ChunkSizes | int | 5, 180, 360 |
| attribute | sigma_tc_space | cell_methods | String | area: standard_deviation time: mean |
| attribute | sigma_tc_space | coordinates | String | time_run time lat lon |
| attribute | sigma_tc_space | description | String | Time average of spatial standard deviations of cloud top temperature |
| attribute | sigma_tc_space | long_name | String | cloud-top temperature (TC) IR-cloud mean standard deviation over space |
| attribute | sigma_tc_space | units | String | K |
| variable | tau_ir | float | time, latitude, longitude | |
| attribute | tau_ir | _ChunkSizes | int | 5, 180, 360 |
| attribute | tau_ir | cell_methods | String | area: mean time: mean within days |
| attribute | tau_ir | coordinates | String | time_run time lat lon |
| attribute | tau_ir | description | String | Average (radiatively-weighted) cloud visible optical thickness for clouds detected by IR threshold regardless of VIS threshold |
| attribute | tau_ir | long_name | String | Mean IR-cloud cloud optical depth (TAU) |
| attribute | tau_ir | standard_name | String | atmosphere_optical_thickness_due_to_cloud |
| attribute | tau_ir | units | String | 1 |
| variable | sigma_tau_space | float | time, latitude, longitude | |
| attribute | sigma_tau_space | _ChunkSizes | int | 5, 180, 360 |
| attribute | sigma_tau_space | cell_methods | String | area: standard_deviation time: mean |
| attribute | sigma_tau_space | coordinates | String | time_run time lat lon |
| attribute | sigma_tau_space | description | String | Time average of spatial standard deviations of cloud visible optical thickness |
| attribute | sigma_tau_space | long_name | String | cloud optical depth (TAU) IR-cloud mean standard deviation over space |
| attribute | sigma_tau_space | units | String | 1 |
| variable | wp_ir | float | time, latitude, longitude | |
| attribute | wp_ir | _ChunkSizes | int | 5, 180, 360 |
| attribute | wp_ir | cell_methods | String | area: mean time: mean within days |
| attribute | wp_ir | coordinates | String | time_run time lat lon |
| attribute | wp_ir | description | String | Average cloud water path (linear average of optical thickness times particle radius) for clouds detected by IR threshold regardless of VIS threshold |
| attribute | wp_ir | long_name | String | Mean IR-cloud water path |
| attribute | wp_ir | units | String | cm |
| variable | sigma_wp_space | float | time, latitude, longitude | |
| attribute | sigma_wp_space | _ChunkSizes | int | 5, 180, 360 |
| attribute | sigma_wp_space | cell_methods | String | area: standard_deviation time: mean |
| attribute | sigma_wp_space | coordinates | String | time_run time lat lon |
| attribute | sigma_wp_space | description | String | Time average of spatial standard deviations of cloud water path |
| attribute | sigma_wp_space | long_name | String | cloud water path (WP) IR-cloud mean standard deviation over space |
| attribute | sigma_wp_space | units | String | cm |
| variable | cldamt_irmarg | float | time, latitude, longitude | |
| attribute | cldamt_irmarg | _ChunkSizes | int | 5, 180, 360 |
| attribute | cldamt_irmarg | cell_methods | String | area: mean time: mean within days |
| attribute | cldamt_irmarg | coordinates | String | time_run time lat lon |
| attribute | cldamt_irmarg | description | String | Average cloud amount for clouds marginally detected 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: cldamt_irmarg. 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 | snoice | float | time, latitude, longitude | |
| attribute | snoice | _ChunkSizes | int | 5, 180, 360 |
| attribute | snoice | cell_methods | String | area: mean |
| 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 | Mean snow/ice amount |
| attribute | snoice | units | String | percent |
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.