Data Access Form

Dataset Title:	ARGO gridded Salinity data
Institution:	UCSD/Scripps (Dataset ID: sal_1fde_fec2_c12c)
Information:	Summary \| License \| FGDC \| ISO 19115 \| Metadata \| Background \| Make a graph

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Dimensions	Size	Spacing
time (UTC)	157	30 days 10h 36m 55s (even)

PRESSURE (Depth, dbar)	58	34.60526 (uneven)

latitude (degrees_north)	130	1.0 (even)

longitude (degrees_east)	360	1.0 (even)

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

ARGO_SALINITY_ANOMALY (PSU)

File type: (more information)

(Documentation / Bypass this form)

(Please be patient. It may take a while to get the data.)

The Dataset Attribute Structure (.das) for this Dataset

Attributes {
  time {
    String _CoordinateAxisType "Time";
    Float64 actual_range 1.0742112e+9, 1.4845248e+9;
    String axis "T";
    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";
  }
  PRESSURE {
    Float32 actual_range 2.5, 1975.0;
    String axis "Z";
    String long_name "Depth";
    String point_spacing "uneven";
    String positive "down";
    String standard_name "depth";
    String units "dbar";
  }
  latitude {
    String _CoordinateAxisType "Lat";
    Float32 actual_range -64.5, 64.5;
    String axis "Y";
    String ioos_category "Location";
    String long_name "Latitude";
    String point_spacing "even";
    String standard_name "latitude";
    String units "degrees_north";
  }
  longitude {
    String _CoordinateAxisType "Lon";
    Float32 actual_range 20.5, 379.5;
    String axis "X";
    String ioos_category "Location";
    String long_name "Longitude";
    Float64 modulo 360.0;
    String point_spacing "even";
    String standard_name "longitude";
    String units "degrees_east";
  }
  ARGO_SALINITY_ANOMALY {
    Float32 _FillValue -999.0;
    Float64 colorBarMaximum 37.0;
    Float64 colorBarMinimum 32.0;
    String history "From RG_ArgoClim_Salinity_2016";
    String long_name "ARGO SALINITY ANOMALY defined by Jan 2004 - Dec 2015 (12.0 year) RG CLIMATOLOGY";
    Float32 missing_value -999.0;
    String standard_name "sea_water_practical_salinity";
    String units "PSU";
  }
  NC_GLOBAL {
    String cdm_data_type "Grid";
    String Conventions "CF-1.6, COARDS, ACDD-1.3";
    Float64 Easternmost_Easting 379.5;
    Float64 geospatial_lat_max 64.5;
    Float64 geospatial_lat_min -64.5;
    Float64 geospatial_lat_resolution 1.0;
    String geospatial_lat_units "degrees_north";
    Float64 geospatial_lon_max 379.5;
    Float64 geospatial_lon_min 20.5;
    Float64 geospatial_lon_resolution 1.0;
    String geospatial_lon_units "degrees_east";
    String history 
"FERRET V6.842   11-Jan-17FERRET V5.51    8-Mar-17
2025-04-04T03:33:20Z (local files)
2025-04-04T03:33:20Z https://data.pmel.noaa.gov/generic/erddap/griddap/sal_1fde_fec2_c12c.das";
    String infoUrl "???";
    String institution "UCSD/Scripps";
    String keywords "anomaly, argo, ARGO_SALINITY_ANOMALY, array, climatology, data, defined, density, Earth Science > Oceans > Salinity/Density > Salinity, geostrophic, LATITUDE, local, LONGITUDE, ocean, oceanography, oceans, practical, PRESSURE, real, real time, real-time, realtime, salinity, sea, sea_water_practical_salinity, seawater, source, time, water, year";
    String keywords_vocabulary "GCMD Science Keywords";
    String license "These data were produced by NOAA and are not subject to copyright protection in the United States. NOAA waives any potential copyright and related rights in these data worldwide through the Creative Commons Zero 1.0 Universal Public Domain Dedication (CC0-1.0).";
    Float64 Northernmost_Northing 64.5;
    String sourceUrl "(local files)";
    Float64 Southernmost_Northing -64.5;
    String standard_name_vocabulary "CF Standard Name Table v29";
    String summary "ARGO gridded Salinity data";
    String time_coverage_end "2017-01-16T00:00:00Z";
    String time_coverage_start "2004-01-16T00:00:00Z";
    String title "ARGO gridded Salinity data";
    Float64 Westernmost_Easting 20.5;
  }
}

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 (external link)

Data Access Protocol (DAP) (external link)

and its projection constraints (external link)

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.