Make A Graph

Dataset Title:	2 days 1.1 km resolution forecast over Liguria - Animation of wind
Institution:	UNIGE-DICCA (Dataset ID: unige-dicca_wind_animation_1_1km)
Range:	time = 2026-04-03T00:00:00Z to 2026-04-04T00:00:00Z
Information:	Summary \| License \| Metadata \| Background \| Subset \| Data Access Form \| Files

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Graph Type:

X Axis:

Y Axis:

Color:

Constraints

Optional
Constraint #1

Optional
Constraint #2

Server-side Functions

distinct()

Hover here to see a list of options. Click on an option to select it.

Graph Settings

Marker Type:

Size:

Color:

Color Bar:

Continuity:

Scale:

Minimum:

Maximum:

N Sections:

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

)

Time range:

[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 {
 s {
  url {
    String ioos_category "Identifier";
    String long_name "URL";
  }
  time {
    String _CoordinateAxisType "Time";
    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 time_precision "1970-01-01 00:00:00";
    String units "seconds since 1970-01-01T00:00:00Z";
  }
  name {
    String ioos_category "Identifier";
    String long_name "File Name";
  }
  lastModified {
    String ioos_category "Time";
    String long_name "Last Modified";
    String time_origin "01-JAN-1970 00:00:00";
    String units "seconds since 1970-01-01T00:00:00Z";
  }
  size {
    String ioos_category "Other";
    String long_name "Size";
    String units "bytes";
  }
  fileType {
    String ioos_category "Identifier";
    String long_name "File Type";
  }
 }
  NC_GLOBAL {
    String cdm_data_type "Grid";
    String contributors_email "meteocean.unige@gmail.com";
    String contributors_name "MeteOcean research group";
    String contributors_role "Research management";
    String Conventions "COARDS, CF-1.6, ACDD-1.3";
    String creator_email "francesco.ferrari@unige.it";
    String creator_name "Ferrari, Francesco";
    String creator_orcid "0000-0002-8752-993X";
    String creator_type "person";
    String creator_url "https://forecast.meteocean.science";
    String data_doi "10.5281/zenodo.18171634";
    String data_format_original "grib2";
    String data_version "3.9.1";
    String documentation "https://s4raise.it/dssmare/distributed_monitoring/, https://s4raise.it/dssmare/metocean_models/, https://raise-spoke3.s4raise.it/project01";
    String geospatial_lat_units "degrees_north";
    String geospatial_lon_units "degrees_east";
    String history 
"2026-04-03T02:56:17Z (local files)
2026-04-03T02:56:17Z https://erddap.s4raise.it/tabledap/unige-dicca_wind_animation_1_1km.das";
    String infoUrl "https://www.raiseliguria.it/spoke-3/";
    String inspire "Oceanographic geographical features";
    String institution "UNIGE-DICCA";
    String institution_country "IT";
    String keywords "Vorticity (858a80ff-5aa4-4590-b2e2-e88a802a6ee4)";
    String keywords_vocabulary "GCMD Science Keywords";
    String language "XML";
    String license "CC-BY 4.0";
    String maintainer "ETT S.p.A.";
    String model_realtime "true";
    String naming_authority "RAISE, Sindbad 2.0";
    String owner "UNIGE-DICCA";
    String owner_url "https://meteocean.science/";
    String project_code "RAISE, Sindbad 2.0";
    String project_id "ECS00000035,";
    String project_name "Robotics and AI for Socio-economic Empowerment, Servizi per la Navigazione e Attività Marittime";
    String project_statement "RAISE: Robotics and AI for Socio-economic Empowerment is an innovation ecosystem funded by the Ministry of University and Research under the National Recovery and Resilience Plan (NRRP, Mission 4, Component 2, Investment 1.5). Sindbad 2.0: Servizi per la Navigazione e Attività Marittime (Services for Navigation and Maritime Activities)";
    String project_url "https://www.raiseliguria.it/, https://www.sindbad-liguria.it/";
    String publisher "ETT S.p.A.";
    String source "WRF simulations initialized with GFS global model simulation";
    String sourceUrl "(local files)";
    String standard_name_vocabulary "CF Standard Name Table v70";
    String subsetVariables "fileType";
    String summary "Hourly 3-dimensional atmospheric gridded data, with a temporal coverage of 48 hours and a spatial resolution of 1.1 km. Data cover Central and Eastern Liguria - Animation of wind";
    String theme_eu_data "http://publications.europa.eu/resource/authority/data-theme/ENVI";
    String theme_eurovoc "http://publications.europa.eu/resource/authority/eurovoc/100224";
    String title "2 days 1.1 km resolution forecast over Liguria - Animation of wind";
    String visibility "public";
  }
}

Using tabledap to Request Data and Graphs from Tabular Datasets

tabledap lets you request a data subset, a graph, or a map from a tabular dataset (for example, buoy data), via a specially formed URL. tabledap uses the OPeNDAP (external link)

Data Access Protocol (DAP) (external link)

and its selection 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 or Subset form. They make 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.

Tabledap request URLs must be in the form
https://coastwatch.pfeg.noaa.gov/erddap/tabledap/datasetID.fileType{?query}
For example,
https://coastwatch.pfeg.noaa.gov/erddap/tabledap/pmelTaoDySst.htmlTable?longitude,latitude,time,station,wmo_platform_code,T_25&time>=2015-05-23T12:00:00Z&time<=2015-05-31T12:00:00Z
Thus, the query is often a comma-separated list of desired variable names, followed by a collection of constraints (e.g., variable<value), each preceded by '&' (which is interpreted as "AND").

For details, see the tabledap Documentation.

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