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Dataset Title:  EMODnet Physics - Total Suspended Matter - GridSeriesObservation -
Concentration of total suspended matter - River regions of interest
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Institution:  CNR-GOS   (Dataset ID: TSM_RROI)
Information:  Summary ? | License ? | FGDC | ISO 19115 | Metadata | Background (external link) | Files | Make a graph
 
Dimensions ? Start ? Stride ? Stop ?  Size ?    Spacing ?
 time (reference time, UTC) ?      2186    1 day 0h 3m 18s (uneven)
  < slider >
 latitude (degrees_north) ?      445    0.002699054 (even)
  < slider >
 longitude (degrees_east) ?      426    0.003753035 (even)
  < slider >
 
Grid Variables (which always also download all of the dimension variables) 
 TSMNN ?

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 1.4832288e+9, 1.6724448e+9;
    String axis "T";
    String calendar "Gregorian";
    String ioos_category "Time";
    String long_name "reference 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 44.40081, 45.59919;
    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 29.00139, 30.59643;
    String axis "X";
    String ioos_category "Location";
    String long_name "Longitude";
    String standard_name "longitude";
    String units "degrees_east";
  }
  TSMNN {
    Float32 _FillValue -999.0;
    String applied_flags "(WATER, INLAND_WATER) and not (CLOUD, CLOUD_AMBIGUOUS, CLOUD_MARGIN, INVALID, COSMETIC, SATURATED, SUSPECT, HISOLZEN, HIGHGLINT, SNOW_ICE, ADJAC, OCNN_FAIL)";
    String band_name "OLCI band name TSM_NN";
    String long_name "TSMNN";
    String source "OLCI - Level2";
  }
  NC_GLOBAL {
    String area "bs";
    String cdm_data_type "Grid";
    String contact "technical@gos.artov.isac.cnr.it";
    String Conventions "CF-1.6, COARDS, ACDD-1.3";
    String creation_date "2022-05-01";
    String creation_time "15:52:49 UTC";
    String creator_email "technical@gos.artov.isac.cnr.it";
    String creator_name "TECHNICAL";
    String creator_type "institution";
    Float64 Easternmost_Easting 30.59643;
    Float64 geospatial_lat_max 45.59919;
    Float64 geospatial_lat_min 44.40081;
    Float64 geospatial_lat_resolution 0.0026990540540540544;
    String geospatial_lat_units "degrees_north";
    Float64 geospatial_lon_max 30.59643;
    Float64 geospatial_lon_min 29.00139;
    Float64 geospatial_lon_resolution 0.003753035294117649;
    String geospatial_lon_units "degrees_east";
    String grid_mapping "Equirectangular";
    String grid_resolution "0.3 km";
    String history 
"Mon May 30 11:56:20 2022: /usr/bin/ncks -O -d lon,29.0,30.6 -d lat,44.4,45.6 -v TSMNN /DataArchive/OC/OLCI/daily_3.01//2017/345/O2017345-tsmnn-bs-fr.nc /store3/snapshot/data2/2017/345/O2017345-tsmnn-dan-fr.nc
2024-12-22T03:00:28Z (local files)
2024-12-22T03:00:28Z http://erddap.emodnet-physics.eu/erddap/griddap/TSM_RROI.das";
    String infoUrl "https://map.emodnet-physics.eu/";
    String institution "CNR-GOS";
    String keywords "cnr, cnr-gos, council, data, gos, local, national, research, source, time, tsmnn";
    String license "Creative Commons Attribution Share-Alike http://www.opendefinition.org/licenses/cc-by-sa";
    String mosaic "/home/gosuser/Processing/OC_PROC_EIS202112/s3olciProcessing/s3olcimosaic.py";
    String NCO "netCDF Operators version 4.7.5 (Homepage = http://nco.sf.net, Code = https://github.com/nco/nco)";
    String netcdf_version "v4";
    String noQI "No climatatology data available for tsmnn variable";
    Float64 Northernmost_Northing 45.59919;
    String platform "Sentinel3A+B";
    String product_level "L3";
    String product_version "v02";
    String reproject "/home/gosuser/Processing/OC_PROC_EIS202112/s3olciProcessing/s3olciL2proc.py";
    String sensor "Ocean and Land Colour Instrument";
    String sensor_name "OLCIA+B";
    String site_name "BS";
    String software_name "GOS Processing chain";
    String source "surface observation";
    String source_files "Oa2017345-tsmnn-bs-fr.nc";
    String sourceUrl "(local files)";
    Float64 Southernmost_Northing 44.40081;
    String standard_name_vocabulary "CF Standard Name Table v70";
    String summary "EMODnet Physics - Total Suspended Matter - GridSeriesObservation - Concentration of total suspended matter - River regions of interest";
    String time_coverage_end "2022-12-31T00:00:00Z";
    String time_coverage_start "2017-01-01T00:00:00Z";
    String timeliness "NT";
    String title "EMODnet Physics - Total Suspended Matter - GridSeriesObservation - Concentration of total suspended matter - River regions of interest";
    Float64 Westernmost_Easting 29.00139;
  }
}

 

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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