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Dataset Title:  Symphonie 2D (X, Y) mesh file "SIM7_3km_2001_2009" experiment. Subscribe RSS
Institution:  MIO UMR7294 CNRS / OSU Pytheas   (Dataset ID: SIM7_3km_2001_2009_mesh2d)
Information:  Summary ? | License ? | Metadata | Background (external link) | Data Access Form | Files
 
Graph Type:  ?
X Axis:  ?
Y Axis:  ?
Color:  ?
 
Dimensions ?    Start ?    Stop ?
Y (count) ?
    +
    - >|
< slider >
X (count) ?
    +
    -
< slider >
 
Graph Settings
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 ? )
    [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 {
  Y {
    Int32 actual_range 0, 114;
    String ioos_category "Location";
    String long_name "Y";
    String units "count";
  }
  X {
    Int16 actual_range 0, 338;
    String ioos_category "Location";
    String long_name "X";
    String units "count";
  }
  bathy_m {
    String associate "lat lon";
    String axis "YX";
    Float64 colorBarMaximum 8000.0;
    Float64 colorBarMinimum -8000.0;
    String colorBarPalette "TopographyDepth";
    String ioos_category "Bathymetry";
    String long_name "bathymetry";
    String standard_name "sea_floor_depth";
    String units "m";
  }
  lat {
    Float64 colorBarMaximum 90.0;
    Float64 colorBarMinimum -90.0;
    String ioos_category "Location";
    String long_name "latitude";
    String units "degrees_north";
    Float32 valid_max 90.0;
    Float32 valid_min -90.0;
  }
  lat2 {
    Float64 colorBarMaximum 90.0;
    Float64 colorBarMinimum -90.0;
    String ioos_category "Location";
    String long_name "latitude2";
    String units "degrees_north";
    Float32 valid_max 90.0;
    Float32 valid_min -90.0;
  }
  lat3 {
    Float64 colorBarMaximum 90.0;
    Float64 colorBarMinimum -90.0;
    String ioos_category "Location";
    String long_name "latitude3";
    String units "degrees_north";
    Float32 valid_max 90.0;
    Float32 valid_min -90.0;
  }
  lon {
    Float64 colorBarMaximum 180.0;
    Float64 colorBarMinimum -180.0;
    String ioos_category "Location";
    String long_name "longitude";
    String units "degrees_east";
    Float32 valid_max 180.0;
    Float32 valid_min -180.0;
  }
  lon2 {
    Float64 colorBarMaximum 180.0;
    Float64 colorBarMinimum -180.0;
    String ioos_category "Location";
    String long_name "longitude2";
    String units "degrees_east";
    Float32 valid_max 180.0;
    Float32 valid_min -180.0;
  }
  lon3 {
    Float64 colorBarMaximum 180.0;
    Float64 colorBarMinimum -180.0;
    String ioos_category "Location";
    String long_name "longitude3";
    String units "degrees_east";
    Float32 valid_max 180.0;
    Float32 valid_min -180.0;
  }
  mask_m {
    String associate "lat lon";
    String axis "YX";
    Float64 colorBarMaximum 150.0;
    Float64 colorBarMinimum 0.0;
    String ioos_category "Identifier";
    String long_name "mask";
    String units "m";
  }
  nbniv {
    Float64 colorBarMaximum 100.0;
    Float64 colorBarMinimum 0.0;
    String ioos_category "Statistics";
    String long_name "Number of levels type 1";
    Int32 valid_max 41;
    Int32 valid_min 1;
  }
  NC_GLOBAL {
    String cdm_data_type "Grid";
    String Conventions "CF 1.0, COARDS, ACDD-1.3";
    String file_name "symphonie.nc";
    String grid_type "C";
    String history 
"Mon Mar  6 15:33:43 2017: ncks -O --mk_rec_dmn time 20010109_000000_8.nc 20010109_000000_8.nc
2020-10-30T04:46:47Z (local files)
2020-10-30T04:46:47Z http://erddap.osupytheas.fr/griddap/SIM7_3km_2001_2009_mesh2d.das";
    String infoUrl "https://dx.doi.org/10.1029/2011JC007074";
    String institution "MIO UMR7294 CNRS / OSU Pytheas";
    String keywords "bathy_m, bathymetry, data, depth, Earth Science > Oceans > Bathymetry/Seafloor Topography > Bathymetry, floor, identifier, lat2, lat3, latitude, latitude2, latitude3, levels, local, lon2, lon3, longitude, longitude2, longitude3, mask, mask_m, nbniv, number, ocean, oceans, sea, sea_floor_depth, seafloor, source, statistics, topography, type";
    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 NCO "4.4.2";
    Int32 number_of_vartype 4;
    String production "POC 2003";
    String project "LATEX";
    String sourceUrl "(local files)";
    String standard_name_vocabulary "CF Standard Name Table v29";
    String summary 
"These simulations are performed in the framework of the LATEX project
            Project Web Site:
            http://www.mio.univ-amu.fr/LATEX
            Review Paper:
            Petrenko, A.A., Doglioli, A.M., Nencioli, F., Kersale, M., Hu, Z., d'Ovidio, F. (accepted). A review of the LATEX project: mesoscale to submesoscale processes in a coastal environment. Ocean Dynam., doi:10.1007/s10236-017-1040-9.

            For detailed information on the model implementation the reader is referred to:
            - Hu, Z.H., Petrenko, A.A., Doglioli, A.M., Dekeyser, I. (2011). Numerical study of eddy generation in the western part of the Gulf of Lion. J. Geophys. Res., Vol.116, C12030, doi:10.1029/2011JC007074.
            - Kersale, M., Petrenko, A.A., Doglioli, A.M., Dekeyser, I., Nencioli, F. (2013). Physical characteristics and dynamics of the coastal Latex09 Eddy derived from in situ data and numerical modeling. J. Geophys. Res., Vol.118, pp.1-11, doi:10.1029/2012JC008229";
    String title "Symphonie 2D (X, Y) mesh file \"SIM7_3km_2001_2009\" experiment.";
  }
}

 

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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