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Dataset Title:  Symphonie 3D (time, Z2, X, Y) outputs "SIM7_3km_2001_2009" experiment. Subscribe RSS
Institution:  MIO UMR7294 CNRS / OSU Pytheas   (Dataset ID: SIM7_3km_2001_2009_z2)
Information:  Summary ? | License ? | Metadata | Background (external link) | Files | Make a graph
 
Dimensions ? Start ? Stride ? Stop ?  Size ?    Spacing ?
 time (UTC) ?      5    1 day (even)
  < slider >
 Z2 (count) ?      41    1.0 (even)
  < slider >
 Y (count) ?      115    1.0 (even)
  < slider >
 X (count) ?      339    1.0 (even)
  < slider >
 
Grid Variables (which always also download all of the dimension variables)
 W (Upward Sea Water) ?
 ECT (eddy kinetic energy, m2/s2) ?
 DIFV (vertical diffusivity, m2/s) ?

File type: (more info)

(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 9.790416e+8, 9.793872e+8;
    String axis "T";
    String calendar "gregorian";
    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";
  }
  Z2 {
    Int16 actual_range 0, 40;
    String ioos_category "Unknown";
    String long_name "Z2";
    String units "count";
  }
  Y {
    Int16 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";
  }
  W {
    Float32 _FillValue -9999.0;
    String associate "time level_dpth1 lat lon";
    String axis "FZYX";
    String ioos_category "Unknown";
    String long_name "Upward Sea Water";
    Float32 missing_value -9999.0;
    String standard_name "upward_sea_water";
    Int32 type 1;
  }
  ECT {
    Float32 _FillValue -9999.0;
    String associate "time level_dpth1 lat lon";
    String axis "FZYX";
    String ioos_category "Unknown";
    String long_name "eddy kinetic energy";
    Float32 missing_value -9999.0;
    String standard_name "eddy_kinetic_energy";
    Int32 type 1;
    String units "m2/s2";
  }
  DIFV {
    Float32 _FillValue -9999.0;
    String associate "time level_dpth1 lat lon";
    String axis "FZYX";
    Float64 colorBarMaximum 10.0;
    Float64 colorBarMinimum -10.0;
    String ioos_category "Unknown";
    String long_name "vertical diffusivity";
    Float32 missing_value -9999.0;
    String standard_name "vertical_diffusivity";
    Int32 type 1;
    String units "m2/s";
  }
  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 15:33:47 2017: ncks -O --mk_rec_dmn time 20010113_000000_12.nc 20010113_000000_12.nc
2020-10-30T05:00:10Z (local files)
2020-10-30T05:00:10Z http://erddap.osupytheas.fr/erddap/griddap/SIM7_3km_2001_2009_z2.das";
    String infoUrl "https://dx.doi.org/10.1029/2011JC007074";
    String institution "MIO UMR7294 CNRS / OSU Pytheas";
    String keywords "data, diffusivity, DIFV, ECT, eddy, eddy_kinetic_energy, energy, kinetic, local, sea, seawater, source, time, upward, upward_sea_water, vertical, vertical_diffusivity, water";
    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 time_coverage_end "2001-01-13T12:00:00Z";
    String time_coverage_start "2001-01-09T12:00:00Z";
    String title "Symphonie 3D (time, Z2, X, Y) outputs \"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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