ERDDAP > griddap > Data Access Form

Dataset Title:	US National Weather Service - NCEP(WMC) Forecast products
Institution:	WMC (7)   (Dataset ID: RAPID_REFRESH_SKIN_TEMP)
Information:	Summary | License | Metadata | Background | Make a graph

 

Dimensions	Start	Stride	Stop	Size	Spacing
time (forecast time, UTC)				20760	1h 47m 21s (uneven)
y (km)				1049	3.0 (even)
x (km)				1049	3.0 (even)

Grid Variables (which always also download all of the dimension variables)

Temperature (Temperature @ surface, degree_Celsius)

File type: (more info) .asc - View OPeNDAP-style ISO-8859-1 comma-separated text. .csv - Download a ISO-8859-1 comma-separated text table (line 1: names; line 2: units; ISO 8601 times). .csvp - Download a ISO-8859-1 .csv file with line 1: name (units). Times are ISO 8601 strings. .csv0 - Download a ISO-8859-1 .csv file without column names or units. Times are ISO 8601 strings. .das - View the dataset's metadata via an ISO-8859-1 OPeNDAP Dataset Attribute Structure (DAS). .dds - View the dataset's structure via an ISO-8859-1 OPeNDAP Dataset Descriptor Structure (DDS). .dods - OPeNDAP clients use this to download the data in the DODS binary format. .esriAscii - Download an ISO-8859-1 ESRI ASCII file (lat lon data only; lon must be all below or all above 180). .fgdc - View the dataset's UTF-8 FGDC .xml metadata. .graph - View a Make A Graph web page. .help - View a web page with a description of griddap. .html - View an OPeNDAP-style HTML Data Access Form. .htmlTable - View a UTF-8 .html web page with the data in a table. Times are ISO 8601 strings. .iso19115 - View the dataset's ISO 19115-2/19139 UTF-8 .xml metadata. .itx - Download an ISO-8859-1 Igor Text File. Each axis variable and each data variable becomes a wave. .json - View a table-like UTF-8 JSON file (missing value = 'null'; times are ISO 8601 strings). .jsonlCSV1 - View a UTF-8 JSON Lines CSV file with column names on line 1 (mv = 'null'; times are ISO 8601 strings). .jsonlCSV - View a UTF-8 JSON Lines CSV file without column names (mv = 'null'; times are ISO 8601 strings). .jsonlKVP - View a UTF-8 JSON Lines file with Key:Value pairs (missing value = 'null'; times are ISO 8601 strings). .mat - Download a MATLAB binary file. .nc - Download a NetCDF-3 binary file with COARDS/CF/ACDD metadata. .ncHeader - View the UTF-8 header (the metadata) for the NetCDF-3 .nc file. .ncml - View the dataset's structure and metadata as a UTF-8 NCML .xml file. .nccsv - Download a NetCDF-3-like 7-bit ASCII NCCSV .csv file with COARDS/CF/ACDD metadata. .nccsvMetadata - View the dataset's metadata as the top half of a 7-bit ASCII NCCSV .csv file. .ncoJson - Download a UTF-8 NCO lvl=2 JSON file with COARDS/CF/ACDD metadata. .odvTxt - Download time,lat,lon,otherVariables as an ODV Generic Spreadsheet File (.txt). .timeGaps - View a UTF-8 list of gaps in the time values which are larger than the median gap. .tsv - Download a ISO-8859-1 tab-separated text table (line 1: names; line 2: units; ISO 8601 times). .tsvp - Download a ISO-8859-1 .tsv file with line 1: name (units). Times are ISO 8601 strings. .tsv0 - Download a ISO-8859-1 .tsv file without column names or units. Times are ISO 8601 strings. .wav - Download a .wav audio file. All columns must be numeric and of the same type. .xhtml - View a UTF-8 XHTML (XML) file with the data in a table. Times are ISO 8601 strings. .geotif - View a grayscale GeoTIFF .tif file (for lat lon data; lon must be all below or all above 180). .kml - View a Google Earth .kml file (for lat, lon data only). .smallPdf - View a small .pdf image file with a graph or map. .pdf - View a standard, medium-sized .pdf image file with a graph or map. .largePdf - View a large .pdf image file with a graph or map. .smallPng - View a small .png image file with a graph or map. .png - View a standard, medium-sized .png image file with a graph or map. .largePng - View a large .png image file with a graph or map. .transparentPng - View a .png image file (just the data, without axes, landmask, or legend).

(Documentation / Bypass this form)
 
Submit (Please be patient. It may take a while to get the data.)

 

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The Dataset Attribute Structure (.das) for this Dataset

Attributes {
  time {
    String _CoordinateAxisType "Time";
    Float64 actual_range 1.295136e+9, 1.42884e+9;
    String axis "T";
    String ioos_category "Time";
    String long_name "forecast time";
    String standard_name "time";
    String time_origin "01-JAN-1970 00:00:00";
    String units "seconds since 1970-01-01T00:00:00Z";
  }
  y {
    String _CoordinateAxisType "GeoY";
    Float64 actual_range 2053.199205821663, 5197.199205821663;
    String grid_spacing "3.0 km";
    String ioos_category "Location";
    String long_name "y coordinate of projection";
    String standard_name "projection_y_coordinate";
    String units "km";
  }
  x {
    String _CoordinateAxisType "GeoX";
    Float64 actual_range -5296.60521355296, -2152.60521355296;
    String grid_spacing "3.0 km";
    String ioos_category "Location";
    String long_name "x coordinate of projection";
    String standard_name "projection_x_coordinate";
    String units "km";
  }
  Temperature {
    Float64 colorBarMaximum 40.0;
    Float64 colorBarMinimum -10.0;
    String GRIB_generating_process_type "Forecast";
    Int32 GRIB_level_type 1;
    String GRIB_level_type_name "surface";
    String GRIB_param_category "Temperature";
    String GRIB_param_discipline "Meteorological_products";
    Int32 GRIB_param_id 2, 0, 0, 0;
    String GRIB_param_name "Temperature";
    Int32 GRIB_product_definition_template 0;
    String GRIB_product_definition_template_desc "Analysis/forecast at horizontal level/layer at a point in time";
    String GRIB_VectorComponentFlag "gridRelative";
    String grid_mapping "Lambert_Conformal";
    String ioos_category "Temperature";
    String long_name "Temperature @ surface";
    Float32 missing_value NaN;
    String standard_name "surface_temperature";
    String units "degree_Celsius";
  }
  NC_GLOBAL {
    String _CoordinateModelRunDate "2015-02-13T00:00:00Z";
    String _CoordSysBuilder "ucar.nc2.dataset.conv.CF1Convention";
    String cdm_data_type "Grid";
    String CF_feature_type "GRID";
    String Conventions "CF-1.6, COARDS, Unidata Dataset Discovery v1.0";
    String creator_name "WMC (7)";
    String file_format "GRIB-2";
    String history 
"Direct read of GRIB-2 into NetCDF-Java 4 API
2022-01-23T03:39:00Z (local files)
2022-01-23T03:39:00Z http://erddap.axiomdatascience.com/erddap/griddap/RAPID_REFRESH_SKIN_TEMP.das";
    String infoUrl "???";
    String institution "WMC (7)";
    String keywords "Earth Science > Land Surface > Land Temperature > Land Surface Temperature, Earth Science > Oceans > Ocean Temperature > Sea Surface Temperature, forecast, land, national, ncep, ocean, oceans, products, sea, service, surface, surface_temperature, temperature, weather, wmc";
    String keywords_vocabulary "GCMD Science Keywords";
    String license 
"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.";
    String location "/mnt/gluster/data/netCDF/rapid_refresh/SKINTEMP//ARSCHRRR_201502130000_FM0180_SKINTEMP.gr2";
    String Metadata_Conventions "CF-1.6, COARDS, Unidata Dataset Discovery v1.0";
    String original_institution "Center US National Weather Service - NCEP(WMC) (7)";
    String Originating_center "US National Weather Service - NCEP(WMC) (7)";
    String Product_Status "Operational products";
    String Product_Type "Forecast products";
    String source "Type: Forecast products Status: Operational products";
    String sourceUrl "(local files)";
    String standard_name_vocabulary "CF-12";
    String summary "US National Weather Service - NCEP(WMC) Forecast products";
    String time_coverage_end "2015-04-12T12:00:00Z";
    String time_coverage_start "2011-01-16T00:00:00Z";
    String title "US National Weather Service - NCEP(WMC) Forecast products";
  }
}

 

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Using griddap to Request Data and Graphs from Gridded Datasets

griddap lets you request a data subset, graph, or map from a gridded dataset (for example, sea surface temperature data from a satellite), via a specially formed URL. griddap uses the OPeNDAP Data Access Protocol (DAP) and its projection constraints.

The URL specifies what you want: the dataset, a description of the graph or the subset of the data, and the file type for the response.

• (easy) You can get data by using the dataset's Data Access Form. It makes the URL for you.
• (easy) You can make a graph or map by using the dataset's Make A Graph form. It makes the URL for you.
• (not hard) You can bypass the forms and get the data or make a graph or map by generating the URL by hand or with a computer program or script.

griddap request URLs must be in the form
https://coastwatch.pfeg.noaa.gov/erddap/griddap/datasetID.fileType{?query}
For example,
https://coastwatch.pfeg.noaa.gov/erddap/griddap/jplMURSST41.htmlTable?analysed_sst[(2002-06-01T09:00:00Z)][(-89.99):1000:(89.99)][(-179.99):1000:(180.0)]
Thus, the query is often a data variable name (e.g., analysed_sst), followed by [(start):stride:(stop)] (or a shorter variation of that) for each of the variable's dimensions (for example, [time][latitude][longitude]).

For details, see the griddap Documentation.

 

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