ERDDAP > griddap > Data Access Form

Dataset Title:	COAMPS 3D Winds, 4km
Institution:	58   (Dataset ID: COAMPS_4KM_AGG_WIND)
Information:	Summary | License | Metadata | Background | Make a graph

 

Dimensions	Start	Stride	Stop	Size	Spacing
time (forecast date time, UTC)				3229	3h 3m 4s (uneven)
height (height above sea level, m)				6	2332.8 (uneven)
y (km)				361	4.0 (even)
x (km)				301	4.0 (even)

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

u_component_wind_true_direction_all_geometries (m.s-1)

v_component_wind_true_direction_all_geometries (m.s-1)

File type: (more information) .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 (latitude longitude data only; longitude 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,latitude,longitude,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 latitude longitude data; longitude must be all below or all above 180). .kml - View a Google Earth .kml file (for latitude, longitude 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).

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The Dataset Attribute Structure (.das) for this Dataset

Attributes {
  time {
    UInt32 _ChunkSizes 1;
    String _CoordinateAxisType "Time";
    Float64 actual_range 1.3775292e+9, 1.4129856e+9;
    String axis "T";
    String ioos_category "Time";
    String long_name "forecast date time";
    String standard_name "time";
    String time_origin "01-JAN-1970 00:00:00";
    String units "seconds since 1970-01-01T00:00:00Z";
  }
  height {
    UInt32 _ChunkSizes 6;
    String _CoordinateAxisType "Height";
    String _CoordinateZisPositive "up";
    Float64 actual_range 111.0, 11775.0;
    String ioos_category "Location";
    String long_name "height above sea level";
    String standard_name "projection_z_coordinate";
    String units "m";
  }
  y {
    UInt32 _ChunkSizes 361;
    String _CoordinateAxisType "GeoY";
    Float64 actual_range 3217.6206264877414, 4657.620626487742;
    String grid_spacing "4.0 km";
    String ioos_category "Location";
    String long_name "y coordinate of projection";
    String standard_name "projection_y_coordinate";
    String units "km";
  }
  x {
    UInt32 _ChunkSizes 301;
    String _CoordinateAxisType "GeoX";
    Float64 actual_range 0.0, 1200.0;
    String grid_spacing "4.0 km";
    String ioos_category "Location";
    String long_name "x coordinate of projection";
    String standard_name "projection_x_coordinate";
    String units "km";
  }
  u_component_wind_true_direction_all_geometries {
    UInt32 _ChunkSizes 1, 3, 335, 279;
    Float64 colorBarMaximum 15.0;
    Float64 colorBarMinimum -15.0;
    Int32 GRIB_center_id 58;
    Int32 GRIB_level_type 100;
    Int32 GRIB_param_id 1, 58, 3, 251;
    String GRIB_param_name "u_component_wind_true_direction_all_geometries";
    Int32 GRIB_param_number 251;
    String GRIB_param_short_name "wnd_utru";
    String GRIB_product_definition_type "Initialized analysis product";
    Int32 GRIB_table_id 3;
    String GRIB_VectorComponentFlag "easterlyNortherlyRelative";
    String grid_mapping "Mercator";
    String ioos_category "Wind";
    String long_name "Zonal Wind";
    Float64 missing_value -9999.0;
    String standard_name "eastward_wind";
    String units "m.s-1";
  }
  v_component_wind_true_direction_all_geometries {
    UInt32 _ChunkSizes 1, 3, 335, 279;
    Float64 colorBarMaximum 15.0;
    Float64 colorBarMinimum -15.0;
    Int32 GRIB_center_id 58;
    Int32 GRIB_level_type 100;
    Int32 GRIB_param_id 1, 58, 3, 252;
    String GRIB_param_name "v_component_wind_true_direction_all_geometries";
    Int32 GRIB_param_number 252;
    String GRIB_param_short_name "wnd_vtru";
    String GRIB_product_definition_type "Initialized analysis product";
    Int32 GRIB_table_id 3;
    String GRIB_VectorComponentFlag "easterlyNortherlyRelative";
    String grid_mapping "Mercator";
    String ioos_category "Wind";
    String long_name "Meridional Wind";
    Float64 missing_value -9999.0;
    String standard_name "northward_wind";
    String units "m.s-1";
  }
  NC_GLOBAL {
    String _CoordinateModelRunDate "2013-08-26T12:00:00Z";
    String _CoordSysBuilder "ucar.nc2.internal.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 "58";
    String date_issued "2013-08-01";
    String file_format "GRIB-1";
    String history 
"Direct read of GRIB-1 into NetCDF-Java 4 API
2023-03-29T20:13:59Z (local files)
2023-03-29T20:13:59Z http://erddap.axiomdatascience.com/erddap/griddap/COAMPS_4KM_AGG_WIND.das";
    String infoUrl "???";
    String institution "58";
    String keywords "4km, atmosphere, atmospheric, coamps, Earth Science > Atmosphere > Atmospheric Winds > Surface Winds, Earth Science > Atmosphere > Atmospheric Winds > Wind Profiles, eastward, eastward_wind, meridional, northward, northward_wind, profiles, surface, wind, winds, zonal";
    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 "./coamps_cencoos_4km_1457m_wnd_utru_2013-08-26-15_2013.238.12.nc";
    String Metadata_Conventions "CF-1.6, COARDS, Unidata Dataset Discovery v1.0";
    String original_institution "Center U.S. Navy Fleet Numerical Meteorology and Oceanography Center (58)";
    String Originating_center "U.S. Navy Fleet Numerical Meteorology and Oceanography Center (58)";
    String Product_Type "Forecast/Uninitialized Analysis/Image Product";
    String publisher_email "jpatterson@mbari.org";
    String publisher_name "Central and Northern California Ocean Observing System (CeNCOOS)";
    String publisher_url "www.cencoos.org";
    String source "Forecast/Uninitialized Analysis/Image Product";
    String sourceUrl "(local files)";
    String standard_name_vocabulary "CF Standard Names V27";
    String summary "Near-real-time 48-hour weather forecasts from the new CeNCOOS COAMPS model run (August 2013 - Present). For older data, look at the COAMPS Forecast [2012 - 2013] layer. The Coupled Ocean/Atmosphere Mesoscale Prediction System, developed and run by the Naval Research Laboratory (NRL) in Monterey, CA, is a numerical weather prediction model. This model run has a resolution of 4km and covers the coastal ocean from Oregon to Mexico. Variables available in the CeNCOOS data portal include: Total Precipitation, Visibility, Cloudbase, Air Temperature, Relative Humidity and Wind. Other atmospheric variables and additional altitude layers are available through the GODAE server ie. heat flux, sea level pressure, vorticity, geopotential height. More information: CeNCOOS COAMPS page: https://www.cencoos.org/sections/models/coamps/ NRL COAMPS page: http://www.nrlmry.navy.mil/coamps-web/web/cencoos GODAE server: https://www.usgodae.org/pub/outgoing/fnmoc/models/coamps/calif/cencoos/";
    String time_coverage_end "2014-10-11T00:00:00Z";
    String time_coverage_start "2013-08-26T15:00:00Z";
    String title "COAMPS 3D Winds, 4km";
  }
}

 

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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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