ERDDAP > griddap > Data Access Form

Dataset Title:	NARR Monthly Means (rcq.mon.mean) [time][y][x], 1979-present
Institution:	National Centers for Environmental Prediction   (Dataset ID: noaa_psl_dbaf_0f46_6863)
Information:	Summary | License | Metadata | Background | Make a graph

 

Dimensions	Start	Stride	Stop	Size	Spacing
time (UTC)				554	30 days 10h 32m 46s (uneven)
y (m)				277	32463.0 (even)
x (m)				349	32462.99 (uneven)

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

rcq (Monthly Humidity Parameter Canopy Conductance at Surface, 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). .parquet - Download as a parquet file. Metadata contains column names ("column_names") and units ("column_units"). .parquetWMeta - Download as a parquet file with detailed metadata. .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 {
    String _CoordinateAxisType "Time";
    Float64 actual_range 2.839968e+8, 1.738368e+9;
    String avg_period "0000-01-00 00:00:00";
    String axis "T";
    String coordinate_defines "start";
    String delta_t "0000-01-00 00:00:00";
    String ioos_category "Time";
    String long_name "Time";
    String standard_name "time";
    String time_origin "01-JAN-1970 00:00:00";
    String units "seconds since 1970-01-01T00:00:00Z";
  }
  y {
    Float32 actual_range 0.0, 8959788.0;
    String ioos_category "Location";
    String long_name "northward distance from southwest corner of domain in projection coordinates";
    String standard_name "projection_y_coordinate";
    String units "m";
  }
  x {
    Float32 actual_range 0.0, 1.129712e+7;
    String ioos_category "Location";
    String long_name "eastward distance from southwest corner of domain in projection coordinates";
    String standard_name "projection_x_coordinate";
    String units "m";
  }
  rcq {
    Float32 _FillValue 9.96921e+36;
    Float32 actual_range 0.3812016, 1.0;
    Float64 colorBarMaximum 40.0;
    Float64 colorBarMinimum 30.0;
    Int16 GRIB_id 248;
    String GRIB_name "RCQ";
    String ioos_category "Meteorology";
    String level_desc "Surface";
    String long_name "Monthly Humidity Parameter Canopy Conductance at Surface";
    Float32 missing_value -9.96921e+36;
    String parent_stat "Mean";
    String standard_name "sea_water_electrical_conductivity";
    String statistic "Mean";
    String units "1";
    Float32 valid_range 0.0, 1.0;
    String var_desc "humidity parameter canopy conductance";
  }
  NC_GLOBAL {
    String _NCProperties "version=2,netcdf=4.7.0,hdf5=1.10.5,";
    String cdm_data_type "Grid";
    Float64 centerlat 50.0;
    Float64 centerlon -107.0;
    String Conventions "CF-1.6, COARDS, ACDD-1.3";
    String creator_name "National Centers for Environmental Prediction";
    String creator_type "group";
    String creator_url "https://www.ncep.noaa.gov/";
    String dataset_title "NCEP North American Regional Reanalysis (NARR)";
    Float64 grid_mapping_false_easting 5632642.22547;
    Float64 grid_mapping_false_northing 4612545.65137;
    Float64 grid_mapping_latitude_of_projection_origin 50.0;
    Float64 grid_mapping_longitude_of_central_meridian -107.0;
    String grid_mapping_name "lambert_conformal_conic";
    Float64 grid_mapping_standard_parallel 50.0, 50.0;
    String history 
"created 2016/04/12 by NOAA/ESRL/PSD
2025-03-29T07:16:25Z https://psl.noaa.gov/thredds/dodsC/Datasets/NARR/Monthlies/monolevel/rcq.mon.mean.nc
2025-03-29T07:16:25Z http://upwell.pfeg.noaa.gov/erddap/griddap/noaa_psl_dbaf_0f46_6863.das";
    String id "Datasets/NARR/Monthlies/monolevel/rcq.mon.mean.nc";
    String infoUrl "https://www.esrl.noaa.gov/psd/data/gridded/data.narr.html";
    String institution "National Centers for Environmental Prediction";
    String keywords "canopy, centers, conductance, conductivity, data, density, earth, Earth Science > Oceans > Salinity/Density > Conductivity, electrical, environmental, humidity, means, meteorology, month, monthly, narr, national, ocean, oceans, parameter, prediction, rcq, rcq.mon.mean, salinity, science, sea, sea_water_electrical_conductivity, seawater, surface, time, water";
    String keywords_vocabulary "GCMD Science Keywords";
    Float32 latcorners 1.000001, 0.897945, 46.3544, 46.63433;
    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.";
    Float32 loncorners -145.5, -68.32005, -2.569891, 148.6418;
    String platform "Model";
    String references "https://www.esrl.noaa.gov/psd/data/gridded/data.narr.html";
    String source "http://www.emc.ncep.noaa.gov/mmb/rreanl/index.html";
    String sourceUrl "https://psl.noaa.gov/thredds/dodsC/Datasets/NARR/Monthlies/monolevel/rcq.mon.mean.nc";
    String standard_name_vocabulary "CF Standard Name Table v70";
    Float64 standardpar1 50.0;
    Float64 standardpar2 50.000001;
    String summary "NARR Monthly Means (rcq.mon.mean)";
    String testOutOfDate "now-130days";
    String time_coverage_end "2025-02-01T00:00:00Z";
    String time_coverage_start "1979-01-01T00:00:00Z";
    String title "NARR Monthly Means (rcq.mon.mean) [time][y][x], 1979-present";
  }
}

 

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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://upwell.pfeg.noaa.gov/erddap/griddap/datasetID.fileType{?query}
For example,
https://upwell.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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