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Dataset Title:  Particle dispersion model Subscribe RSS
Institution:  UNIGE-DICCA   (Dataset ID: unige-dicca_dispersion_forecast_simple_mover)
Range: longitude = 9.165709 to 9.237931°E, latitude = 44.292904 to 44.3488°N, depth = 0.0 to 0.0m, time = 2026-03-03T13:05:00Z to 2026-03-03T18:05:00Z
Information:  Summary ? | License ? | FGDC | ISO 19115 | Metadata | Background (external link) | Data Access Form | Files
 
Graph Type:  ?
X Axis: 
Y Axis: 
Color: 
-1+1
 
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.Hover here to see a list of options. Click on an option to select it.Hover here to see a list of options. Click on an option to select it.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: 
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: 
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:

The Dataset Attribute Structure (.das) for this Dataset

Attributes {
 s {
  time {
    String _CoordinateAxisType "Time";
    Float64 actual_range 1.7725431e+9, 1.7725611e+9;
    String axis "T";
    String calendar "gregorian";
    String comment "unspecified time zone";
    String ioos_category "Time";
    String long_name "time since the beginning of the simulation";
    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";
    Float64 _FillValue NaN;
    Float64 actual_range 44.29290456047778, 44.34880239988506;
    String axis "Y";
    Float64 colorBarMaximum 90.0;
    Float64 colorBarMinimum -90.0;
    String ioos_category "Location";
    String long_name "latitude of the particle";
    String standard_name "latitude";
    String units "degrees_north";
  }
  longitude {
    String _CoordinateAxisType "Lon";
    Float64 _FillValue NaN;
    Float64 actual_range 9.16570835545664, 9.237930931806542;
    String axis "X";
    Float64 colorBarMaximum 180.0;
    Float64 colorBarMinimum -180.0;
    String ioos_category "Location";
    String long_name "longitude of the particle";
    String standard_name "longitude";
    String units "degrees_east";
  }
  particle_count {
    Int32 _FillValue 2147483647;
    Int32 actual_range 1000, 1000;
    Float64 colorBarMaximum 100.0;
    Float64 colorBarMinimum 0.0;
    String long_name "number of particles in a given timestep";
    String ragged_row_count "particle count at nth timestep";
    String units "1";
  }
  spill_num {
    UInt16 _FillValue 65535;
    UInt16 actual_range 0, 0;
    String long_name "spill to which the particle belongs";
    String spills_map "0: Point-Line Spill,";
  }
  surface_concentration {
    Float64 _FillValue NaN;
    Float64 actual_range 0.0, 0.003584147272275167;
    String long_name "surface concentration of oil";
    String units "g m-2";
  }
  depth {
    String _CoordinateAxisType "Height";
    String _CoordinateZisPositive "down";
    Float64 _FillValue NaN;
    Float64 actual_range 0.0, 0.0;
    String axis "Z";
    Float64 colorBarMaximum 8000.0;
    Float64 colorBarMinimum -8000.0;
    String colorBarPalette "TopographyDepth";
    String ioos_category "Location";
    String long_name "particle depth below sea surface";
    String positive "down";
    String standard_name "depth";
    String units "m";
  }
  id {
    UInt32 _FillValue 999;
    UInt32 actual_range 0, 998;
    String long_name "particle ID";
  }
  age {
    Float64 _FillValue 9223372036854775807;
    Float64 actual_range 0, 300;
    String long_name "age of particle from time of release";
    String units "minutes";
  }
  status_codes {
    Int16 _FillValue 32767;
    Int16 actual_range 2, 2;
    Float64 colorBarMaximum 40.0;
    Float64 colorBarMinimum 0.0;
    String flag_meanings "0:not_released 2:in_water 3:on_land 7:off_maps 10:evaporated 12:to_be_removed 32:on_tideflat";
    Float64 flag_values 0, 2, 3, 7, 10, 12, 32;
    String long_name "particle status code";
  }
  density {
    Float64 _FillValue NaN;
    Float64 actual_range 1000.0, 1000.0;
    Float64 colorBarMaximum 200.0;
    Float64 colorBarMinimum 0.0;
    String long_name "emulsion density at end of timestep";
    String units "kg/m^3";
  }
  viscosity {
    Float64 _FillValue NaN;
    Float64 actual_range 1.0e+12, 1.0e+12;
    String long_name "emulsion viscosity at end of timestep";
    String units "m^2/sec";
  }
  mass {
    Float64 _FillValue NaN;
    Float64 actual_range 0.0, 0.0;
    String long_name "mass of particle";
    String units "kilograms";
  }
 }
  NC_GLOBAL {
    String acquisition_mode "real time";
    String cdm_data_type "Point";
    String comment "Particle output from the NOAA PyGnome model";
    String contributors_email "andrea.mazzino@unige.it; povero@unige.it";
    String contributors_name "Mazzino, Andrea; Povero, Paolo";
    String contributors_orcid "0000-0001-8342-9897; 0000-0003-0170-2891";
    String Conventions "COARDS, CF-1.6, ACDD-1.3";
    String creation_date "2026-03-03T13:12:37";
    String creator_email "mattia.cavaiola@gmail.com";
    String creator_name "Cavaiola, Mattia";
    String creator_orcid "0000-0002-1316-9484";
    String creator_type "person";
    String creator_url "https://forecast.meteocean.science";
    String data_doi "10.5281/zenodo.18935382";
    String data_format_original "netCDF";
    String data_version "1";
    String documentation "https://s4raise.it/dssmare/warning_zooplankton/, https://raise-spoke3.s4raise.it/project01https://raise-spoke3.s4raise.it/project11";
    Float64 Easternmost_Easting 9.237930931806542;
    String feature_type "particle_trajectory";
    String featureType "Point";
    Float64 geospatial_lat_max 44.34880239988506;
    Float64 geospatial_lat_min 44.29290456047778;
    String geospatial_lat_units "degrees_north";
    Float64 geospatial_lon_max 9.237930931806542;
    Float64 geospatial_lon_min 9.16570835545664;
    String geospatial_lon_units "degrees_east";
    Float64 geospatial_vertical_max 0.0;
    Float64 geospatial_vertical_min 0.0;
    String geospatial_vertical_positive "down";
    String geospatial_vertical_units "m";
    String history 
"PyGnome version 1.1.19
2026-04-03T04:28:26Z (local files)
2026-04-03T04:28:26Z https://erddap.s4raise.it/tabledap/unige-dicca_dispersion_forecast_simple_mover.das";
    String infoUrl "https://www.raiseliguria.it/spoke-3/";
    String inspire "Oceanographic geographical features";
    String institution "UNIGE-DICCA";
    String keywords "Surface Currents (b3647731-a71a-4af4-bfa2-e53b61efafeb)";
    String keywords_vocabulary "GCMD Science Keywords";
    String language "XML";
    String license "CC-BY 4.0";
    String maintainer "ETT S.p.A.";
    String naming_authority "RAISE";
    Float64 Northernmost_Northing 44.34880239988506;
    String owner "UNIGE-DICCA";
    String owner_url "https://meteocean.science/";
    String project_code "RAISE";
    String project_id "ECS00000035";
    String project_name "Robotics and AI for Socio-economic Empowerment";
    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)";
    String project_url "https://www.raiseliguria.it/";
    String publisher "ETT S.p.A.";
    String references "TBD";
    String source "GNOME model";
    String sourceUrl "(local files)";
    Float64 Southernmost_Northing 44.29290456047778;
    String standard_name_vocabulary "CF Standard Name Table v70";
    String summary "The particle dispersion model used is Pygnome. The forcings used for the forecast are the persistence of the sea current velocity, in its u and v components, and the average wind speed and direction calculated over the previous six hours.  The model generates a forecast output with a six-hour time horizon. Every hour, new current and wind data are acquired, thus updating the forecast hour by hour for the next six hours.";
    String testOutOfDate "now-1day";
    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 time_coverage_end "2026-03-03T18:05:00Z";
    String time_coverage_start "2026-03-03T13:05:00Z";
    String title "Particle dispersion model";
    String visibility "public";
    Float64 Westernmost_Easting 9.16570835545664;
  }
}

 

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.

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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