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Dataset Title:	ROMS Surface Forecast test
Institution:	ICATMAR (Dataset ID: marraix_surface_test_erddap_33ad_63c2_7e3b)
Information:	Summary \| License \| Metadata \| Background \| Data Access Form \| Files

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Y Axis:
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Dimensions

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time (UTC)

eta_rho (count)

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xi_rho (count)

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Things You Can Do With Your Graphs

Well, you can do anything you want with your graphs, of course. But some things you might not have considered are:

Web page authors can embed a graph of the latest data in a web page using HTML <img> tags.
Anyone can use ERDDAPs Slide Sorter to build a personal web page that displays graphs with the latest data (or other images or HTML content), each in its own, draggable slide.

The Dataset Attribute Structure (.das) for this Dataset

Attributes {
  time {
    String _CoordinateAxisType "Time";
    Float64 _FillValue NaN;
    Float64 actual_range 1.7748288e+9, 1.7750088e+9;
    String axis "T";
    String calendar "proleptic_gregorian";
    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";
  }
  eta_rho {
    Int16 actual_range 0, 441;
    String ioos_category "Location";
    String long_name "eta rho";
    String units "count";
  }
  xi_rho {
    Int16 actual_range 0, 441;
    String ioos_category "Location";
    String long_name "xi rho";
    String units "count";
  }
  thetao {
    Float32 _FillValue NaN;
    String cell_methods "ocean_time: point";
    Float64 colorBarMaximum 32.0;
    Float64 colorBarMinimum 0.0;
    String field "temperature, scalar, series";
    String grid "grid";
    String ioos_category "Temperature";
    String location "face";
    String long_name "Sea Water Potential Temperature";
    String standard_name "sea_water_potential_temperature";
    String time "ocean_time";
    String units "degree_C";
    Float32 valid_max 15.917364;
    Float32 valid_min 11.743394;
  }
  so {
    Float32 _FillValue NaN;
    String cell_methods "ocean_time: point";
    Float64 colorBarMaximum 37.0;
    Float64 colorBarMinimum 32.0;
    String field "salinity, scalar, series";
    String grid "grid";
    String ioos_category "Salinity";
    String location "face";
    String long_name "Sea Water Salinity";
    String standard_name "sea_water_practical_salinity";
    String time "ocean_time";
    String units "PSU";
    Float32 valid_max 39.583233;
    Float32 valid_min 29.235565;
  }
  uo {
    Float32 _FillValue NaN;
    String cell_methods "ocean_time: point";
    Float64 colorBarMaximum 0.5;
    Float64 colorBarMinimum -0.5;
    String field "u_eastward, scalar, series";
    String grid "grid";
    String ioos_category "Currents";
    String location "face";
    String long_name "Eastward Sea Water Velocity";
    String standard_name "eastward_sea_water_velocity";
    String time "ocean_time";
    String units "meter second-1";
    Float32 valid_max 0.92066467;
    Float32 valid_min -0.92039;
  }
  vo {
    Float32 _FillValue NaN;
    String cell_methods "ocean_time: point";
    Float64 colorBarMaximum 0.5;
    Float64 colorBarMinimum -0.5;
    String field "v_northward, scalar, series";
    String grid "grid";
    String ioos_category "Currents";
    String location "face";
    String long_name "Northward Sea Water Velocity";
    String standard_name "northward_sea_water_velocity";
    String time "ocean_time";
    String units "meter second-1";
    Float32 valid_max 0.7860264;
    Float32 valid_min -1.110139;
  }
  zos {
    Float32 _FillValue NaN;
    String cell_methods "ocean_time: point";
    Float64 colorBarMaximum 2.0;
    Float64 colorBarMinimum -2.0;
    String field "free-surface, scalar, series";
    String grid "grid";
    String ioos_category "Sea Level";
    String location "face";
    String long_name "Sea Surface Height Above Geoid";
    String standard_name "sea_surface_height_above_geoid";
    String time "ocean_time";
    String units "meter";
    Float32 valid_max -0.20364283;
    Float32 valid_min -0.75422627;
  }
  speed {
    Float32 _FillValue NaN;
    Float64 colorBarMaximum 0.5;
    Float64 colorBarMinimum 0.0;
    String ioos_category "Currents";
    String long_name "Sea Water Speed";
    String standard_name "sea_water_speed";
    String units "meter second-1";
    Float32 valid_max 1.1884573;
    Float32 valid_min 0.0;
  }
  NC_GLOBAL {
    String cdm_data_type "Grid";
    String Conventions "CF-1.10, COARDS, ACDD-1.3";
    String coordinates "depth";
    String creator_email "jiglesias@icm.csic.es";
    String creator_name "Jordi Iglesias Deutú";
    String creator_url "https://www.myroms.org";
    String forcing "Atmospheric forcing, boundary conditions, river input";
    String history 
"Processed with xarray on 2026-04-14 11:00:15.875900
2026-04-20T08:17:42Z (local files)
2026-04-20T08:17:42Z https://hebe.icm.csic.es/griddap/marraix_surface_test_erddap_33ad_63c2_7e3b.das";
    String infoUrl "https://www.myroms.org";
    String institution "ICATMAR";
    String keywords "above, circulation, currents, data, density, earth, Earth Science\\n                > Oceans > Ocean Circulation > Ocean Currents, Earth Science > Oceans\\n                > Ocean Temperature > Potential Temperature, Earth Science > Oceans >\\n                Salinity/Density > Salinity, Earth Science > Oceans > Sea Surface\\n                Topography > Sea Surface Height, Earth Science > Solid Earth >\\n                Geodetics/Gravity > Geoid Properties, eastward, eastward_sea_water_velocity, eta, eta_rho, forecast, geodetics, geoid, gravity, height, icatmar, level, model, modeling, northward, northward_sea_water_velocity, ocean, oceans, potential, practical, properties, regional, rho, roms, salinity, science, sea, sea level, sea_surface_height_above_geoid, sea_water_potential_temperature, sea_water_practical_salinity, sea_water_speed, seawater, solid, speed, ssh, surface, system, temperature, thetao, time, topography, velocity, water, xi, xi_rho, zos";
    String keywords_vocabulary "GCMD Science Keywords";
    String license 
"This
        dataset by ICATMAR is licensed under a Creative Commons Attribution 4.0
        International License. You should have received a copy of the license along with this work.
        If not, see https://creativecommons.org/licenses/by/4.0/.";
    String model "ROMS";
    String references "https://www.myroms.org";
    String source "ROMS numerical model";
    String sourceUrl "(local files)";
    String standard_name_vocabulary "CF Standard Name Table v70";
    String summary 
"Surface ocean fields from a Regional Ocean Modeling System (ROMS)
                forecast including temperature, salinity, sea surface height and currents.";
    String testOutOfDate "now-31days";
    String time_coverage_end "2026-04-01T02:00:00Z";
    String time_coverage_start "2026-03-30T00:00:00Z";
    String title "ROMS Surface Forecast test";
  }
}

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.

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