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Dataset Title:  NAUTILOS - Hydro Med10 Nature Run (2010) - HCMR Subscribe RSS
Institution:  HCMR   (Dataset ID: hydroMED10NR_hcmr)
Information:  Summary ? | License ? | FGDC | ISO 19115 | Metadata | Background (external link) | Files | Make a graph
 
Dimensions ? Start ? Stride ? Stop ?  Size ?    Spacing ?
 time (T, UTC) ?      12    30 days 8h 43m 38s (even)
  < slider >
 latitude (degrees_north) ?      156    0.1 (even)
  < slider >
 longitude (degrees_east) ?      431    0.1 (even)
  < slider >
 
Grid Variables (which always also download all of the dimension variables) 
 ssh (Sea Surface Hight, m) ?
 u (Zonal Sea Surface Velocity, m/s) ?
 v (Meridional Sea Surface Velocity, m/s) ?
 sst (Sea Surface Temperature, degree_C) ?
 sss (Sea Surface Salinity, PSU) ?

File type: (more information)

(Documentation / Bypass this form) ?
 
(Please be patient. It may take a while to get the data.)


 

The Dataset Attribute Structure (.das) for this Dataset

Attributes {
  time {
    String _CoordinateAxisType "Time";
    Float64 actual_range 1.262304e+9, 1.2911616e+9;
    String axis "T";
    String ioos_category "Time";
    String long_name "T";
    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 30.25, 45.75;
    String axis "Y";
    String ioos_category "Location";
    String long_name "Latitude";
    String source_name "y";
    String standard_name "latitude";
    String units "degrees_north";
  }
  longitude {
    String _CoordinateAxisType "Lon";
    Float32 actual_range -7.0, 36.0;
    String axis "X";
    String ioos_category "Location";
    String long_name "Longitude";
    String source_name "x";
    String standard_name "longitude";
    String units "degrees_east";
  }
  ssh {
    Float32 _FillValue -1.0e+10;
    Float64 colorBarMaximum 2.0;
    Float64 colorBarMinimum -2.0;
    String long_name "Sea Surface Hight";
    String standard_name "sea_surface_height";
    String units "m";
  }
  u {
    Float32 _FillValue -1.0e+10;
    String long_name "Zonal Sea Surface Velocity";
    String units "m/s";
  }
  v {
    Float32 _FillValue -1.0e+10;
    String long_name "Meridional Sea Surface Velocity";
    String units "m/s";
  }
  sst {
    Float32 _FillValue -1.0e+10;
    Float64 colorBarMaximum 32.0;
    Float64 colorBarMinimum 0.0;
    String long_name "Sea Surface Temperature";
    String standard_name "sea_surface_temperature";
    String units "degree_C";
  }
  sss {
    Float32 _FillValue -1.0e+10;
    Float64 colorBarMaximum 37.0;
    Float64 colorBarMinimum 32.0;
    String long_name "Sea Surface Salinity";
    String standard_name "sea_surface_salinity";
    String units "PSU";
  }
  NC_GLOBAL {
    String cdm_data_type "Grid";
    String contact "G. Eleftheriou: geoelefthe@hcmr.gr";
    String Conventions "COARDS, CF-1.6,   ACDD-1.3";
    String creator_email "geoelefthe@hcmr.gr";
    String creator_name "Giorgis Eleftheriou";
    String creator_type "person";
    String creator_url "https://www.hcmr.gr/en/";
    String description "Simulated sea surface ocean variables of Med. Sea(1/10 x 1/10)";
    Float64 Easternmost_Easting 36.0;
    Float64 geospatial_lat_max 45.75;
    Float64 geospatial_lat_min 30.25;
    Float64 geospatial_lat_resolution 0.1;
    String geospatial_lat_units "degrees_north";
    Float64 geospatial_lon_max 36.0;
    Float64 geospatial_lon_min -7.0;
    Float64 geospatial_lon_resolution 0.1;
    String geospatial_lon_units "degrees_east";
    String history 
"Created on 2024-04-01
2025-04-19T15:25:47Z (local files)
2025-04-19T15:25:47Z https://data-nautilos-h2020.eu/erddap/griddap/hydroMED10NR_hcmr.das";
    String infoUrl "https://nautilos-h2020.eu/data-portal/";
    String institution "HCMR";
    String institution_country "GR";
    String institution_edmo_code "3051";
    String license "CC-BY   4.0";
    String naming_authority "NAUTILOS";
    Float64 Northernmost_Northing 45.75;
    String project_code "NAUTILOS";
    String Project_DOI "https://doi.org/10.3030/101000825";
    String project_edmerp "13720";
    String project_id "101000825";
    String project_name "New   Approach to Underwater Technologies for Innovative, Low-cost Ocean   obServation";
    String project_statement 
"This   project has received funding from the European Union's Horizon 2020 research   and innovation programme under grant 
agreement No. 101000825 (NAUTILOS). This   output reflects only the author's view and the European Union cannot be held   responsible for any use that may be made of the information contained therein";
    String provider "Hellenic Centre for Marine Research";
    String reference "https://nautilos-h2020.eu/data-portal/";
    String references "https://nautilos-h2020.eu/data-portal/";
    String source "HCMR-POM hydrodynamic model";
    String sourceUrl "(local files)";
    Float64 Southernmost_Northing 30.25;
    String standard_name_vocabulary "CF   Standard Name Table v70";
    String summary "Simulated sea surface ocean variables of Med. Sea (1/10 x 1/10)";
    String time_coverage_end "2010-12-01T00:00:00Z";
    String time_coverage_start "2010-01-01T00:00:00Z";
    String title "NAUTILOS - Hydro Med10 Nature Run (2010) - HCMR";
    Float64 Westernmost_Easting -7.0;
  }
}

 

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.

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.


 
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