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Dataset Title:  CORA: Coriolis Ocean database for ReAnalysis, Temperature and Salinity in the
Water Column (1960, 2022)
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Institution:  OceanScope   (Dataset ID: experiment_emodnet)
Information:  Summary ? | License ? | FGDC | ISO 19115 | Metadata | Background (external link) | Files | Make a graph
 
Dimensions ? Start ? Stride ? Stop ?  Size ?    Spacing ?
 time (UTC) ?      206    33 days 16h 51m 31s (uneven)
  < slider >
 depth (m) ?      152    13.23841 (uneven)
  < slider >
 latitude (degrees_north) ?      3    0.4999746 (even)
  < slider >
 longitude (degrees_east) ?      13    0.5 (even)
  < slider >
 
Grid Variables (which always also download all of the dimension variables) 
 PSAL (practical 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 _FillValue NaN;
    Float64 actual_range 1.0729152e+9, 1.6698528e+9;
    String axis "T";
    String calendar "proleptic_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";
  }
  depth {
    String _CoordinateAxisType "Height";
    String _CoordinateZisPositive "down";
    Float32 _FillValue NaN;
    Float32 actual_range 1.0, 2000.0;
    String axis "Z";
    String ioos_category "Location";
    String long_name "Depth";
    String positive "down";
    String standard_name "depth";
    String units "m";
    Float32 valid_max 12000.0;
    Float32 valid_min 0.0;
  }
  latitude {
    String _CoordinateAxisType "Lat";
    Float32 _FillValue NaN;
    Float32 actual_range 0.0, 0.9999492;
    String axis "Y";
    String ioos_category "Location";
    String long_name "Latitude";
    String standard_name "latitude";
    String units "degrees_north";
    Float32 valid_max 90.0;
    Float32 valid_min -90.0;
  }
  longitude {
    String _CoordinateAxisType "Lon";
    Float32 _FillValue NaN;
    Float32 actual_range -4.0, 2.0;
    String axis "X";
    String ioos_category "Location";
    String long_name "Longitude";
    String standard_name "longitude";
    String units "degrees_east";
    Float32 valid_max 180.0;
    Float32 valid_min -180.0;
  }
  PSAL {
    Float64 _FillValue 62.767;
    Float64 colorBarMaximum 32.0;
    Float64 colorBarMinimum 0.0;
    String ioos_category "Salinity";
    String long_name "practical salinity";
    String SDN "SDN:P01::PSLTZZ01";
    String standard_name "sea_water_practical_salinity";
    String units "PSU";
    Float64 valid_max 60.0;
    Float64 valid_min 4.0;
  }
  NC_GLOBAL {
    String analysis_name "OA_CORA5.2_";
    String cdm_data_type "Grid";
    String citation "Szekely et al. 2020, doi: 10.17882/46219";
    String comment "V8.0 reference climatology and analysis parameters";
    String Conventions "CF-1.10, COARDS, ACDD-1.3";
    String creation_date "20231127T085441L";
    String creator_name "OceanScope";
    String creator_url "https://resources.marine.copernicus.eu/product-detail/INSITU_GLO_PHY_TS_OA_MY_013_052/INFORMATION";
    String data_manager "Tanguy Szekely";
    Float64 Easternmost_Easting 2.0;
    Float64 geospatial_lat_max 0.9999492;
    Float64 geospatial_lat_min 0.0;
    Float64 geospatial_lat_resolution 0.4999746;
    String geospatial_lat_units "degrees_north";
    Float64 geospatial_lon_max 2.0;
    Float64 geospatial_lon_min -4.0;
    Float64 geospatial_lon_resolution 0.5;
    String geospatial_lon_units "degrees_east";
    String history 
"20231127T085441L : Creation
2024-08-26T14:18:29Z (local files)
2024-08-26T14:18:29Z https://erddap.emodnet-physics.eu/erddap/griddap/INSITU_GLO_PHY_TS_OA_MY_013_052_PSAL.nc?PSAL%5B(2004-01-01):1:(2022-12-01T00:00:00Z)%5D%5B(1.0):1:(2000.0)%5D%5B(0):1:(0.9999492)%5D%5B(-4):1:(2)%5D
2024-12-22T08:33:41Z (local files)
2024-12-22T08:33:41Z https://erddap.observations.voiceoftheocean.org/erddap/griddap/experiment_emodnet.das";
    String infoUrl "https://resources.marine.copernicus.eu/product-detail/INSITU_GLO_PHY_TS_OA_MY_013_052/INFORMATION";
    String institution "OceanScope";
    String keywords "analysis, column, cora, coriolis, data, database, density, depth, earth, Earth Science > Oceans > Ocean Salinity  > Water Salinity, Earth Science > Oceans > Salinity/Density > Salinity, error, latitude, longitude, month, monthly, ocean, oceans, oceanscope, percent, practical, psal, psal_err, psal_pctvar, reanalysis, salinity, science, sea, sea_water_practical_salinity, sea_water_salinity, seawater, temperature, time, variance, water";
    String keywords_vocabulary "GCMD Science Keywords";
    String license "Creative Commons Attribution Share-Alike http://www.opendefinition.org/licenses/cc-by-sa";
    Float64 Northernmost_Northing 0.9999492;
    String owner_name "OceanScope";
    String product_DOI "https://doi.org/10.17882/46219";
    String project_name "CMEMS Ins-TAC";
    String software_version "POSTOA_main - 7.0";
    String source "ISAS-V8";
    String sourceUrl "(local files)";
    Float64 Southernmost_Northing 0.0;
    String standard_name_vocabulary "CF Standard Name Table v70";
    String summary "CORA: Coriolis Ocean database for ReAnalysis - Temperature and Salinity in the Water Column (1960 - 2022). Global Ocean- Gridded objective analysis fields of temperature and salinity using profiles from the reprocessed in-situ global product CORA (INSITU_GLO_TS_REP_OBSERVATIONS_013_001_b) using the ISAS software. Objective analysis is based on a statistical estimation method that allows presenting a synthesis and a validation of the dataset, providing a validation source for operational models, observing seasonal cycle and inter-annual variability.";
    String time_coverage_end "2022-12-01T00:00:00Z";
    String time_coverage_start "2004-01-01T00:00:00Z";
    String title "CORA: Coriolis Ocean database for ReAnalysis, Temperature and Salinity in the Water Column (1960, 2022)";
    Float64 Westernmost_Easting -4.0;
  }
}

 

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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