Make A Graph

Dataset Title:	Sea Surface Forecast, Western Mediterranean (2026-03-30)
Institution:	ICATMAR - Institut Català de Recerca per a la Governança del Mar (Dataset ID: marraix_surface_test_error)
Information:	Summary \| License \| FGDC \| ISO 19115 \| Metadata \| Background \| Data Access Form \| Files

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Graph Type:
X Axis:
Y Axis:
Color:

Dimensions

Start

Stop

time (UTC)

specify just 1 value →

depth (m)

specify just 1 value →

latitude (degrees_north)

longitude (degrees_east)

Graph Settings
Color Bar:	Continuity:	Scale:
Minimum:	Maximum:	N Sections:
Draw land mask:
Y Axis Minimum:	Maximum:

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

Optional:
Then set the File Type: (File Type information)
and

or view the URL:
(Documentation / Bypass this form

)

Click on the map to specify a new center point.

Zoom:

[The graph you specified. Please be patient.]

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 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";
  }
  depth {
    String _CoordinateAxisType "Height";
    String _CoordinateZisPositive "down";
    Float64 actual_range 0.0, 0.0;
    String axis "Z";
    String ioos_category "Location";
    String long_name "Depth";
    String positive "down";
    String standard_name "depth";
    String units "m";
  }
  latitude {
    String _CoordinateAxisType "Lat";
    Float64 actual_range 38.457300604961894, 43.59409194637781;
    String axis "Y";
    String ioos_category "Location";
    String long_name "Latitude";
    String standard_name "latitude";
    String units "degrees_north";
    Float64 valid_max 43.59409194637781;
    Float64 valid_min 38.457300604961894;
  }
  longitude {
    String _CoordinateAxisType "Lon";
    Float64 actual_range -0.45258519512374484, 6.087272695120188;
    String axis "X";
    String ioos_category "Location";
    String long_name "Longitude";
    String standard_name "longitude";
    String units "degrees_east";
    Float64 valid_max 6.087272695120188;
    Float64 valid_min -0.45258519512374484;
  }
  thetao {
    Float32 _FillValue 1.0e+20;
    String cell_methods "time: point";
    Float64 colorBarMaximum 32.0;
    Float64 colorBarMinimum 0.0;
    String ioos_category "Temperature";
    String long_name "Sea Water Potential Temperature";
    String standard_name "sea_water_potential_temperature";
    String units "degree_C";
    Float32 valid_max 15.917364;
    Float32 valid_min 11.743394;
  }
  so {
    Float32 _FillValue 1.0e+20;
    String cell_methods "time: point";
    Float64 colorBarMaximum 37.0;
    Float64 colorBarMinimum 32.0;
    String ioos_category "Salinity";
    String long_name "Sea Water Salinity";
    String standard_name "sea_water_practical_salinity";
    String units "PSU";
    Float32 valid_max 39.583233;
    Float32 valid_min 29.235565;
  }
  uo {
    Float32 _FillValue 1.0e+20;
    String cell_methods "time: point";
    Float64 colorBarMaximum 0.5;
    Float64 colorBarMinimum -0.5;
    String ioos_category "Currents";
    String long_name "Eastward Sea Water Velocity";
    String standard_name "eastward_sea_water_velocity";
    String units "m s-1";
    Float32 valid_max 0.92066467;
    Float32 valid_min -0.92039;
  }
  vo {
    Float32 _FillValue 1.0e+20;
    String cell_methods "time: point";
    Float64 colorBarMaximum 0.5;
    Float64 colorBarMinimum -0.5;
    String ioos_category "Currents";
    String long_name "Northward Sea Water Velocity";
    String standard_name "northward_sea_water_velocity";
    String units "m s-1";
    Float32 valid_max 0.7860264;
    Float32 valid_min -1.110139;
  }
  zos {
    Float32 _FillValue 1.0e+20;
    String cell_methods "time: point";
    Float64 colorBarMaximum 2.0;
    Float64 colorBarMinimum -2.0;
    String ioos_category "Sea Level";
    String long_name "Sea Surface Height Above Geoid";
    String standard_name "sea_surface_height_above_geoid";
    String units "m";
    Float32 valid_max -0.20364283;
    Float32 valid_min -0.75422627;
  }
  speed {
    Float32 _FillValue 1.0e+20;
    String cell_methods "time: point";
    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 "m s-1";
    Float32 valid_max 1.1884573;
    Float32 valid_min 0.0;
  }
  NC_GLOBAL {
    String cdm_data_type "Grid";
    String comment "Surface fields only (depth=0). Data are hourly.";
    String Conventions "CF-1.10, COARDS, ACDD-1.3";
    String creator_email "models@icatmar.cat";
    String creator_institution "ICATMAR / ICM-CSIC / GENERALITAT DE CATALUNYA";
    String creator_name "ICATMAR";
    String creator_type "institution";
    String creator_url "https://www.myroms.org";
    Float64 Easternmost_Easting 6.087272695120188;
    Float64 geospatial_lat_max 43.59409194637781;
    Float64 geospatial_lat_min 38.457300604961894;
    String geospatial_lat_units "degrees_north";
    Float64 geospatial_lon_max 6.087272695120188;
    Float64 geospatial_lon_min -0.45258519512374484;
    String geospatial_lon_units "degrees_east";
    String history 
"Original ROMS output: output_R1600L040_2026-03-30.nc. Processed with xarray on 2026-04-22 15:21:49.250895
2026-04-23T06:13:36Z (local files)
2026-04-23T06:13:36Z https://hebe.icm.csic.es/griddap/marraix_surface_test_error.das";
    String infoUrl "https://www.myroms.org";
    String institution "ICATMAR - Institut Català de Recerca per a la Governança del Mar";
    String keywords "2026-03-30, above, catal\\u00e0, circulation, currents, data, del, density, depth, earth, Earth\\n                Science > Oceans > Sea Surface Topography > Sea Surface Height, Earth\\n                Science > Solid Earth > Geodetics/Gravity > Geoid Properties, Earth Science > Oceans > Ocean Circulation > Ocean\\n                Currents, Earth Science > Oceans > Ocean Temperature > Potential\\n                Temperature, Earth Science > Oceans > Salinity/Density > Salinity, eastward, eastward_sea_water_velocity, forecast, geodetics, geoid, governan\\u00e7a, gravity, height, icatmar, institut, latitude, level, longitude, mediterranean, model, modeling, northward, northward_sea_water_velocity, ocean, oceans, per, potential, practical, properties, recerca, regional, 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, western, 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/.";
    Float64 Northernmost_Northing 43.59409194637781;
    String project "ICATMAR";
    String references "https://www.myroms.org, https://icatmar.cat";
    String run_date "2026-03-30";
    String source "ROMS (Regional Ocean Modeling System) run from 2026-03-30";
    String sourceUrl "(local files)";
    Float64 Southernmost_Northing 38.457300604961894;
    String standard_name_vocabulary "CF Standard Name Table v70";
    String summary 
"Sea Surface Forecast - Western Mediterranean (2026-03-30). Surface
                ocean fields (temperature, salinity, sea surface height, eastward/northward
                currents, and speed) from a Regional Ocean Modeling System (ROMS) operational
                forecast for the Western Mediterranean Sea.(native ROMS grid).";
    String testOutOfDate "now-43days";
    String time_coverage_end "2026-04-01T02:00:00Z";
    String time_coverage_start "2026-03-30T00:00:00Z";
    String title "Sea Surface Forecast, Western Mediterranean (2026-03-30)";
    Float64 Westernmost_Easting -0.45258519512374484;
  }
}

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.