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Dataset Title:  CORA: Coriolis Ocean database for ReAnalysis 5.2 - Salinity in the Water
Column (1990 - 2020)
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Institution:  OceanScope   (Dataset ID: INSITU_GLO_TS_OA_REP_OBSERVATIONS_013_002_b_PSAL)
Information:  Summary ? | License ? | FGDC | ISO 19115 | Metadata | Background (external link) | Files | Make a graph
 
Dimensions ? Start ? Stride ? Stop ?  Size ?    Spacing ?
 time (UTC) ?      372    30 days 10h 28m 47s (uneven)
  < slider >
 depth (m) ?      152    13.23841 (uneven)
  < slider >
 latitude (degrees_north) ?      545    0.3068139 (uneven)
  < slider >
 longitude (degrees_east) ?      720    0.5 (even)
  < slider >
 
Grid Variables (which always also download all of the dimension variables) 
 PSAL (Salinity, psu) ?
 PSAL_ERR (Practical salinity Error, psu) ?
 PSAL_PCTVAR (Error on salinity (% variance), percent) ?

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 6.323616e+8, 1.6079904e+9;
    String axis "T";
    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 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";
  }
  latitude {
    String _CoordinateAxisType "Lat";
    Float32 actual_range -77.01048, 89.89626;
    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 -180.0, 179.5;
    String axis "X";
    String ioos_category "Location";
    String long_name "Longitude";
    String standard_name "longitude";
    String units "degrees_east";
  }
  PSAL {
    Float64 _FillValue -0.127;
    Float64 colorBarMaximum 32.0;
    Float64 colorBarMinimum 0.0;
    String long_name "Salinity";
    String standard_name "sea_water_salinity";
    String units "psu";
  }
  PSAL_ERR {
    Float64 _FillValue -0.127;
    Float64 colorBarMaximum 5.0;
    Float64 colorBarMinimum 0.0;
    String long_name "Practical salinity Error";
    String units "psu";
  }
  PSAL_PCTVAR {
    Byte _FillValue -127;
    String _Unsigned "false";
    Float64 colorBarMaximum 5.0;
    Float64 colorBarMinimum 0.0;
    String long_name "Error on salinity  (% variance)";
    String units "percent";
  }
  NC_GLOBAL {
    String analysis_name "OA_CORA5.2_";
    String cdm_data_type "Grid";
    String citation "Cabanes, C., A. Grouazel, K. von Schuckmann, M. Hamon, V. Turpin, C. Coatanoan, F. Paris, S. Guinehut, C. Boone, N. Ferry, C. de Boyer Montégut, T. Carval, G. Reverdin, S. Pouliquen, and P. Y. Le Traon, 2013: The CORA dataset: validation and diagnostics of in-situ ocean temperature and salinity measurements. Ocean Science, 9, 1-18, http://www.ocean-sci.net/9/1/2013/os-9-1-2013.html, doi:10.5194/os-9-1-2013.";
    String comment "V7.0 T and S fields";
    String Conventions "CF-1.6, COARDS, ACDD-1.3";
    String creation_date "20210701T110741L";
    String creator_name "OceanScope";
    String data_manager "Tanguy Szekely";
    String DOI "https://doi.org/10.48670/moi-00038";
    Float64 Easternmost_Easting 179.5;
    Float64 geospatial_lat_max 89.89626;
    Float64 geospatial_lat_min -77.01048;
    String geospatial_lat_units "degrees_north";
    Float64 geospatial_lon_max 179.5;
    Float64 geospatial_lon_min -180.0;
    Float64 geospatial_lon_resolution 0.5;
    String geospatial_lon_units "degrees_east";
    String history 
"20210701T110741L : Creation
2022-06-27T03:31:10Z (local files)
2022-06-27T03:31:10Z https://erddap.emodnet-physics.eu/erddap/griddap/INSITU_GLO_TS_OA_REP_OBSERVATIONS_013_002_b_PSAL.das";
    String infoUrl "https://resources.marine.copernicus.eu/product-detail/INSITU_GLO_TS_OA_REP_OBSERVATIONS_013_002_b/INFORMATION";
    String institution "OceanScope";
    String keywords "analysis, data, depth, earth, Earth Science > Oceans > Ocean Salinity  > Water Salinity, error, latitude, longitude, month, monthly, ocean, oceans, oceanscope, percent, PSAL, PSAL_ERR, PSAL_PCTVAR, salinity, science, sea, sea_water_salinity, seawater, 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 89.89626;
    String project_name "CMEMS Ins-TAC";
    String reference_date "19500101T000000";
    String references "Szekely et al. 2020, doi: 10.17882/46219";
    String software_version "POSTOA_main - 7.0";
    String sourceUrl "(local files)";
    Float64 Southernmost_Northing -77.01048;
    String standard_name_vocabulary "CF Standard Name Table v70";
    String summary "Global Ocean-Gridded objective analysis fields of 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 "2020-12-15T00:00:00Z";
    String time_coverage_start "1990-01-15T00:00:00Z";
    String title "CORA: Coriolis Ocean database for ReAnalysis 5.2 - Salinity in the Water Column (1990 - 2020)";
    Float64 Westernmost_Easting -180.0;
  }
}

 

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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