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Dataset Title:  Kassandra Black Sea forecasting system Subscribe RSS
Institution:  ISMAR-CNR, Venice, Italy   (Dataset ID: kassandra_bs)
Information:  Summary ? | License ? | FGDC | ISO 19115 | Metadata | Background (external link) | Files | Make a graph
 
Dimensions ? Start ? Stride ? Stop ?  Size ?    Spacing ?
 time (UTC) ?      4920    1h 0m 0s (even)
  < slider >
 latitude (degrees_north) ?      288    0.02 (even)
  < slider >
 longitude (degrees_east) ?      717    0.02 (even)
  < slider >
 
Grid Variables (which always also download all of the dimension variables) 
 mean_wave_period (s) ?
 sign_wave_height (Significant Wave Height, m) ?
 wave_direction (Mean Wave Direction, deg) ?

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 1.7197056e+9, 1.737414e+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 40.9, 46.64;
    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 27.46, 41.78;
    String axis "X";
    String ioos_category "Location";
    String long_name "Longitude";
    String standard_name "longitude";
    String units "degrees_east";
  }
  mean_wave_period {
    Float32 _FillValue -999.0;
    String cell_methods "level: mean";
    Float64 colorBarMaximum 20.0;
    Float64 colorBarMinimum 0.0;
    String long_name "Mean Wave Period";
    Float32 missing_value -999.0;
    String standard_name "sea_surface_swell_wave_period";
    String units "s";
  }
  sign_wave_height {
    Float32 _FillValue -999.0;
    String cell_methods "level: mean";
    Float64 colorBarMaximum 10.0;
    Float64 colorBarMinimum 0.0;
    String long_name "Significant Wave Height";
    Float32 missing_value -999.0;
    String standard_name "sea_surface_wave_significant_height";
    String units "m";
  }
  wave_direction {
    Float32 _FillValue -999.0;
    String cell_methods "level: mean";
    Float64 colorBarMaximum 360.0;
    Float64 colorBarMinimum 0.0;
    String long_name "Mean Wave Direction";
    Float32 missing_value -999.0;
    String standard_name "sea_surface_wave_to_direction";
    String units "deg";
  }
  NC_GLOBAL {
    String CDI "Climate Data Interface version 1.9.10 (https://mpimet.mpg.de/cdi)";
    String cdm_data_type "Grid";
    String CDO "Climate Data Operators version 1.9.10 (https://mpimet.mpg.de/cdo)";
    String citation "Ferrarin, C., A. Roland, M. Bajo, G. Umgiesser, A. Cucco, S. Davolio, A. Buzzi, P. Malguzzi, and O. Drofa (2013c), Tide-surge-wave modelling and forecasting in the Mediterranean Sea with focus on the Italian coast, Ocean Model., 61, 38-48, doi: 10.1016/j.ocemod.2012.10.003";
    String comment "Data restriction: for academic research use only";
    String contact "email: georg.umgiesser@ismar.cnr.it";
    String Conventions "CF-1.10, COARDS, ACDD-1.3";
    String creator_email "christian.ferrarin@cnr.it";
    String creator_name "CNR-ISMAR";
    String creator_type "institution";
    Float64 Easternmost_Easting 41.78;
    Float64 geospatial_lat_max 46.64;
    Float64 geospatial_lat_min 40.9;
    Float64 geospatial_lat_resolution 0.020000000000000007;
    String geospatial_lat_units "degrees_north";
    Float64 geospatial_lon_max 41.78;
    Float64 geospatial_lon_min 27.46;
    Float64 geospatial_lon_resolution 0.02;
    String geospatial_lon_units "degrees_east";
    String history 
"Fri Jan 17 08:50:10 2025: cdo seldate,2025-01-20T00:00:00,2025-01-20T23:00:00 tmp1.nc kassandra_mod_blk_phy_wav_for_2km_PT1H-1_20250120.nc
Fri Jan 17 08:50:06 2025: ncwa -a level tmp.nc tmp1.nc
Fri Jan 17 08:50:05 2025: ncks -O -x -v total_depth out.nc tmp.nc
created on 2025-01-17 08:50:03 MET
2025-01-18T08:05:52Z (local files)
2025-01-18T08:05:52Z http://erddap-danubius.ve.ismar.cnr.it/erddap/griddap/kassandra_bs.das";
    String infoUrl "http://kassandra.ve.ismar.cnr.it:8080/kassandra/homepage";
    String institution "ISMAR-CNR, Venice, Italy";
    String keywords "Black Sea, Earth Science > Oceans > Ocean Waves > Significant Wave Height, wave forecast, waves";
    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 lineage "The modelled significant wave heighs resulted to have a RMSE of 0.26 cm with respect to satellite observations";
    String NCO "netCDF Operators version 4.9.7 (Homepage = http://nco.sf.net, Code = https://github.com/nco/nco)";
    Float64 Northernmost_Northing 46.64;
    String references "Model info: http://www.ismar.cnr.it/shyfem";
    String source "Model data produced by SHYFEM at ISMAR-CNR";
    String sourceUrl "(local files)";
    Float64 Southernmost_Northing 40.9;
    String standard_name_vocabulary "CF Standard Name Table v70";
    String summary "Hourly wave forecast over the Black Sea provided by the Kassandra forecasting system";
    String testOutOfDate "now+1day";
    String time_coverage_end "2025-01-20T23:00:00Z";
    String time_coverage_start "2024-06-30T00:00:00Z";
    String title "Kassandra Black Sea forecasting system";
    Float64 Westernmost_Easting 27.46;
  }
}

 

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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