Make A Graph

Dataset Title:	Wave Forecast - Catalan Sea 2.6 km (WW3 forced by ECMWF) - Latest Run
Institution:	ICATMAR (Dataset ID: WAVE_FC_CAT_WW3ECM_2p6km)
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 →

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:
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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 {
    UInt32 _ChunkSizes 76;
    String _CoordinateAxisType "Time";
    Float64 actual_range 1.7908992e+9, 1.7911692e+9;
    String axis "T";
    String calendar "standard";
    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";
  }
  latitude {
    String _CoordinateAxisType "Lat";
    Float32 actual_range 38.40469, 43.60349;
    String axis "Y";
    String ioos_category "Location";
    String long_name "Latitude";
    String standard_name "latitude";
    String units "degrees_north";
  }
  longitude {
    String _CoordinateAxisType "Lon";
    Float32 actual_range -0.4482813, 6.114219;
    String axis "X";
    String ioos_category "Location";
    String long_name "Longitude";
    String standard_name "longitude";
    String units "degrees_east";
  }
  hs {
    UInt32 _ChunkSizes 1, 222, 211;
    Float32 _FillValue 9.96921e+36;
    Float64 colorBarMaximum 8.0;
    Float64 colorBarMinimum 0.0;
    String globwave_name "significant_wave_height";
    String ioos_category "Surface Waves";
    String long_name "significant height of wind and swell waves";
    String standard_name "sea_surface_wave_significant_height";
    String units "m";
    Float32 valid_max 64.0;
    Float32 valid_min 0.0;
  }
  dir {
    UInt32 _ChunkSizes 1, 222, 211;
    Float32 _FillValue 9.96921e+36;
    Float64 colorBarMaximum 360.0;
    Float64 colorBarMinimum 0.0;
    String globwave_name "wave_from_direction";
    String ioos_category "Surface Waves";
    String long_name "wave mean direction";
    String standard_name "sea_surface_wave_from_direction";
    String units "degrees";
    Float32 valid_max 360.0;
    Float32 valid_min 0.0;
  }
  t01 {
    UInt32 _ChunkSizes 1, 222, 211;
    Float32 _FillValue 9.96921e+36;
    Float64 colorBarMaximum 15.0;
    Float64 colorBarMinimum 0.0;
    String globwave_name "mean_period_t01";
    String ioos_category "Surface Waves";
    String long_name "mean period T01";
    String standard_name "sea_surface_wave_mean_period_from_variance_spectral_density_first_frequency_moment";
    String units "s";
    Float32 valid_max 50.0;
    Float32 valid_min 0.0;
  }
  t02 {
    UInt32 _ChunkSizes 1, 222, 211;
    Float32 _FillValue 9.96921e+36;
    Float64 colorBarMaximum 15.0;
    Float64 colorBarMinimum 0.0;
    String globwave_name "mean_period_t02";
    String ioos_category "Surface Waves";
    String long_name "mean period T02";
    String standard_name "sea_surface_wave_mean_period_from_variance_spectral_density_second_frequency_moment";
    String units "s";
    Float32 valid_max 50.0;
    Float32 valid_min 0.0;
  }
  t0m1 {
    UInt32 _ChunkSizes 1, 222, 211;
    Float32 _FillValue 9.96921e+36;
    Float64 colorBarMaximum 15.0;
    Float64 colorBarMinimum 0.0;
    String globwave_name "mean_period_t0m1";
    String ioos_category "Surface Waves";
    String long_name "mean period T0m1";
    String standard_name "sea_surface_wave_mean_period_from_variance_spectral_density_inverse_frequency_moment";
    String units "s";
    Float32 valid_max 50.0;
    Float32 valid_min 0.0;
  }
  lm {
    UInt32 _ChunkSizes 1, 222, 211;
    Float32 _FillValue 9.96921e+36;
    Float64 colorBarMaximum 200.0;
    Float64 colorBarMinimum 0.0;
    String globwave_name "mean_wave_length";
    String ioos_category "Surface Waves";
    String long_name "mean wave length";
    String units "m";
    Float32 valid_max 3200.0;
    Float32 valid_min 0.0;
  }
  spr {
    UInt32 _ChunkSizes 1, 222, 211;
    Float32 _FillValue 9.96921e+36;
    Float64 colorBarMaximum 90.0;
    Float64 colorBarMinimum 0.0;
    String globwave_name "directional_spread";
    String ioos_category "Surface Waves";
    String long_name "directional spread";
    String standard_name "sea_surface_wave_directional_spread";
    String units "degrees";
    Float32 valid_max 90.0;
    Float32 valid_min 0.0;
  }
  uwnd {
    UInt32 _ChunkSizes 1, 222, 211;
    Float32 _FillValue 9.96921e+36;
    Float64 colorBarMaximum 20.0;
    Float64 colorBarMinimum -20.0;
    String comment "wind=sqrt(U10**2+V10**2)";
    String globwave_name "eastward_wind";
    String ioos_category "Wind";
    String long_name "Eastward Wind at 10 m";
    String standard_name "eastward_wind";
    String units "m s-1";
    Float32 valid_max 99.0;
    Float32 valid_min -99.0;
  }
  vwnd {
    UInt32 _ChunkSizes 1, 222, 211;
    Float32 _FillValue 9.96921e+36;
    Float64 colorBarMaximum 20.0;
    Float64 colorBarMinimum -20.0;
    String comment "wind=sqrt(U10**2+V10**2)";
    String globwave_name "northward_wind";
    String ioos_category "Wind";
    String long_name "Northward Wind at 10 m";
    String standard_name "northward_wind";
    String units "m s-1";
    Float32 valid_max 99.0;
    Float32 valid_min -99.0;
  }
  NC_GLOBAL {
    String _CoordSysBuilder "ucar.nc2.internal.dataset.conv.DefaultConventions";
    String _NCProperties "version=2,netcdf=4.10.0,hdf5=2.1.1";
    String area "CATSEA_4";
    String cdm_data_type "Grid";
    String Conventions "CF-1.10, COARDS, ACDD-1.3";
    String creator_name "ICATMAR";
    String creator_type "institution";
    String creator_url "https://www.icatmar.cat/";
    Float64 Easternmost_Easting 6.114219;
    String forcing "ECMWF";
    String forecast_reference_time "2026-10-02T00:00:00Z";
    Float64 geospatial_lat_max 43.60349;
    Float64 geospatial_lat_min 38.40469;
    String geospatial_lat_units "degrees_north";
    Float64 geospatial_lon_max 6.114219;
    Float64 geospatial_lon_min -0.4482813;
    Float64 geospatial_lon_resolution 0.03125000142857143;
    String geospatial_lon_units "degrees_east";
    String history 
"2026-10-02T10:56:15Z (local files)
2026-10-02T10:56:15Z http://erddap.icatmar.cat/griddap/WAVE_FC_CAT_WW3ECM_2p6km.das";
    String infoUrl "https://www.icatmar.cat/";
    String institution "ICATMAR";
    String keywords "Earth Science > Atmosphere > Atmospheric Winds > Surface Winds, Earth Science > Oceans > Ocean Waves > Significant Wave Height, Earth Science > Oceans > Ocean Waves > Wave Period, Earth Science > Oceans > Ocean Waves > Wave Speed/Direction, ecmwf, forecast, icatmar, waves, wavewatch, wind, ww3";
    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 43.60349;
    String product_type "forecast";
    String publisher_type "institution";
    String source_file "ICATMAR_CAT_MOD_WAVE_FC_WW3ECM_2p6km__1H_20261002000000_20261005030000_v20260922.nc";
    String sourceUrl "(local files)";
    Float64 Southernmost_Northing 38.40469;
    String standard_name_vocabulary "CF Standard Name Table v70";
    String summary "Latest WAVEWATCH III (v7.14) wave forecast run produced by ICATMAR, forced with ECMWF winds. Catalan Sea (CATSEA_4), rectilinear grid ~2.6 km (lat 38.40-43.60 N, lon 0.45 W-6.11 E). Hourly output, 76 hourly steps from 00:00 UTC of the run day. Only the most recent run is served; the run date is given in the forecast_reference_time attribute.";
    String time_coverage_end "2026-10-05T03:00:00Z";
    String time_coverage_start "2026-10-02T00:00:00Z";
    String title "Wave Forecast - Catalan Sea 2.6 km (WW3 forced by ECMWF) - Latest Run";
    String WAVEWATCH_III_switches "NOGRB TRKNC DIST MPI PR3 UQ FLX0 LN1 ST4 STAB3 NL1 BT4 DB1 MLIM TR0 BS0 IC2 IS0 REF1 WNT2 WNX1 RWND CRT0 CRX1 TIDE O0 O1 O2 O2a O2b O2c O3 O4 O5 O6 O7";
    String WAVEWATCH_III_version_number "7.14";
    Float64 Westernmost_Easting -0.4482813;
  }
}

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.