Make A Graph

Dataset Title:	AdriaClim RESM - WW3 - Sea Surface State (projection, 3h)
Institution:	CMCC (Dataset ID: sea_surface_state_4aee_04e6_3e27)
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:

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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 {
    String _CoordinateAxisType "Time";
    Float64 actual_range 1.6410384e+9, 2.5561764e+9;
    String axis "T";
    String calendar "standard";
    String conventions "relative julian days with decimal part (as parts of the day )";
    String ioos_category "Time";
    String long_name "julian day (UT)";
    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 39.0, 45.87456;
    String axis "Y";
    String ioos_category "Location";
    String long_name "Latitude";
    String standard_name "latitude";
    String units "degrees_north";
    Float32 valid_max 180.0;
    Float32 valid_min -90.0;
  }
  longitude {
    String _CoordinateAxisType "Lon";
    Float32 actual_range 12.0, 20.97859;
    String axis "X";
    String ioos_category "Location";
    String long_name "Longitude";
    String standard_name "longitude";
    String units "degrees_east";
    Float32 valid_max 360.0;
    Float32 valid_min -180.0;
  }
  uwnd {
    Float32 _FillValue 9.96921e+36;
    Float64 colorBarMaximum 15.0;
    Float64 colorBarMinimum -15.0;
    String comment "wind=sqrt(U10**2+V10**2)";
    String globwave_name "eastward_wind";
    String ioos_category "Wind";
    String long_name "Eastward Wind";
    String standard_name "eastward_wind";
    String units "m s-1";
    Float32 valid_max 99.0;
    Float32 valid_min -99.0;
  }
  vwnd {
    Float32 _FillValue 9.96921e+36;
    Float64 colorBarMaximum 15.0;
    Float64 colorBarMinimum -15.0;
    String comment "wind=sqrt(U10**2+V10**2)";
    String globwave_name "northward_wind";
    String ioos_category "Wind";
    String long_name "Northward Wind";
    String standard_name "northward_wind";
    String units "m s-1";
    Float32 valid_max 99.0;
    Float32 valid_min -99.0;
  }
  hs {
    Float32 _FillValue 9.96921e+36;
    Float64 colorBarMaximum 10.0;
    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;
  }
  lm {
    Float32 _FillValue 9.96921e+36;
    Float64 colorBarMaximum 4000.0;
    Float64 colorBarMinimum 0.0;
    String globwave_name "mean_wave_length";
    String ioos_category "Surface Waves";
    String long_name "mean wave length";
    String standard_name "mean_wave_length";
    String units "m";
    Float32 valid_max 3200.0;
    Float32 valid_min 0.0;
  }
  t0m1 {
    Float32 _FillValue 9.96921e+36;
    Float64 colorBarMaximum 50.0;
    Float64 colorBarMinimum 0.0;
    String globwave_name "mean_period_t0m1";
    String ioos_category "Statistics";
    String long_name "mean period T0m1";
    String standard_name "sea_surface_wind_wave_mean_period_from_variance_spectral_density_inverse_frequency_moment";
    String units "s";
    Float32 valid_max 50.0;
    Float32 valid_min 0.0;
  }
  fp {
    Float32 _FillValue 9.96921e+36;
    Float64 colorBarMaximum 15.0;
    Float64 colorBarMinimum 0.0;
    String globwave_name "dominant_wave_frequency";
    String ioos_category "Surface Waves";
    String long_name "wave peak frequency";
    String standard_name "sea_surface_wave_peak_frequency";
    String units "s-1";
    Float32 valid_max 10.0;
    Float32 valid_min 0.0;
  }
  dir {
    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 "degree";
    Float32 valid_max 360.0;
    Float32 valid_min 0.0;
  }
  dp {
    Float32 _FillValue 9.96921e+36;
    Float64 colorBarMaximum 360.0;
    Float64 colorBarMinimum 0.0;
    String globwave_name "dominant_wave_direction";
    String ioos_category "Surface Waves";
    String long_name "peak direction";
    String standard_name "sea_surface_wave_peak_direction";
    String units "degree";
    Float32 valid_max 360.0;
    Float32 valid_min 0.0;
  }
  uust {
    Float32 _FillValue 9.96921e+36;
    Float64 colorBarMaximum 150.0;
    Float64 colorBarMinimum -150.0;
    String comment "ust=sqrt(uust**2+vust**2)";
    String globwave_name "eastward_friction_velocity";
    String ioos_category "Currents";
    String long_name "eastward friction velocity";
    String standard_name "eastward_friction_velocity";
    String units "m s-1";
    Float32 valid_max 99.0;
    Float32 valid_min -99.0;
  }
  vust {
    Float32 _FillValue 9.96921e+36;
    Float64 colorBarMaximum 150.0;
    Float64 colorBarMinimum -150.0;
    String comment "ust=sqrt(uust**2+vust**2)";
    String globwave_name "northward_friction_velocity";
    String ioos_category "Currents";
    String long_name "northward friction velocity";
    String standard_name "northward_friction_velocity";
    String units "m s-1";
    Float32 valid_max 99.0;
    Float32 valid_min -99.0;
  }
  uuss {
    Float32 _FillValue 9.96921e+36;
    Float64 colorBarMaximum 6.0;
    Float64 colorBarMinimum -6.0;
    String comment "uss=sqrt(uuss**2+vuss**2)";
    String globwave_name "eastward_surface_stokes_drift";
    String ioos_category "Unknown";
    String long_name "eastward surface stokes drift";
    String standard_name "eastward_surface_stokes_drift";
    String units "m s-1";
    Float32 valid_max 4.95;
    Float32 valid_min -4.95;
  }
  vuss {
    Float32 _FillValue 9.96921e+36;
    Float64 colorBarMaximum 6.0;
    Float64 colorBarMinimum -6.0;
    String comment "Frequency range   0.0500 to   0.7932 Hz";
    String globwave_name "northward_surface_stokes_drift";
    String ioos_category "Unknown";
    String long_name "northward surface stokes drift";
    String standard_name "northward_surface_stokes_drift";
    String units "m s-1";
    Float32 valid_max 4.95;
    Float32 valid_min -4.95;
  }
  C {
    Float32 _FillValue 9.96921e+36;
    Float64 colorBarMaximum 15000.0;
    Float64 colorBarMinimum -15000.0;
    String globwave_name "Drag coeff";
    String ioos_category "Unknown";
    String long_name "Drag coeff";
    String standard_name "drag coeff";
    Float32 valid_max 9990.0;
    Float32 valid_min -9990.0;
  }
  NC_GLOBAL {
    String adriaclim_dataset "model";
    String adriaclim_model "WW3";
    String adriaclim_scale "adriatic";
    String adriaclim_timeperiod "3h";
    String area "ADRIATIC_GRID";
    String cdm_data_type "Grid";
    String Conventions "COARDS, CF-1.6, ACDD-1.3";
    Float64 Easternmost_Easting 20.97859;
    Float64 geospatial_lat_max 45.87456;
    Float64 geospatial_lat_min 39.0;
    Float64 geospatial_lat_resolution 0.020832000000000007;
    String geospatial_lat_units "degrees_north";
    Float64 geospatial_lon_max 20.97859;
    Float64 geospatial_lon_min 12.0;
    Float64 geospatial_lon_resolution 0.02083199535962877;
    String geospatial_lon_units "degrees_east";
    String history 
"2024-09-18T10:23:30Z (local files)
2024-09-18T10:23:30Z https://erddap-adriaclim.cmcc-opa.eu/griddap/sea_surface_state_4aee_04e6_3e27.das";
    String infoUrl "https://cmcc.it";
    String institution "CMCC";
    String keywords "atmosphere, atmospheric, coeff, currents, data, density, dir, direction, drag, drag coeff, drift, earth, Earth Science > Atmosphere > Atmospheric Winds > Surface Winds, Earth Science > Oceans > Ocean Waves > Significant Wave Height, Earth Science > Oceans > Ocean Waves > Wave Frequency, Earth Science > Oceans > Ocean Waves > Wave Period, Earth Science > Oceans > Ocean Waves > Wave Spectra, Earth Science > Oceans > Ocean Waves > Wave Speed/Direction, Earth Science > Oceans > Ocean Waves > Wind Waves, eastward, eastward_friction_velocity, eastward_surface_stokes_drift, eastward_wind, frequency, friction, height, inverse, latitude, length, local, longitude, mean, mean_wave_length, moment, northward, northward_friction_velocity, northward_surface_stokes_drift, northward_wind, ocean, oceans, peak, period, science, sea, sea_surface_wave_from_direction, sea_surface_wave_peak_direction, sea_surface_wave_peak_frequency, sea_surface_wave_significant_height, sea_surface_wind_wave_mean_period_from_variance_spectral_density_inverse_frequency_moment, significant, source, spectra, spectral, speed, statistics, stokes, surface, surface waves, swell, t0m1, time, uuss, uust, uwnd, variance, velocity, vuss, vust, vwnd, wave, waves, wind, winds";
    String keywords_vocabulary "GCMD Science Keywords";
    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.";
    String maximum_altitude "9000 m";
    String minimum_altitude "-12000 m";
    Float64 Northernmost_Northing 45.87456;
    String product_name "ww3.205012.nc";
    String sourceUrl "(local files)";
    Float64 Southernmost_Northing 39.0;
    String standard_name_vocabulary "CF Standard Name Table v70";
    String summary "AdriaClim RESM - WW3 - Sea Surface State (projection, 3h)";
    String time_coverage_end "2051-01-01T09:00:00Z";
    String time_coverage_start "2022-01-01T12:00:00Z";
    String title "AdriaClim RESM - WW3 - Sea Surface State (projection, 3h)";
    String WAVEWATCH_III_switches "F90 NOGRB DIST MPI NC4 UQ PR3 ST3 STAB3 FLX0 LN1 NL1 IC0 IS0 REF0 BT1 DB1 MLIM TR0 BS0 XX0 WNX1 WNT1 RWND CRX1 CRT1";
    String WAVEWATCH_III_version_number "7.12";
    Float64 Westernmost_Easting 12.0;
  }
}

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.