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ERDDAP > griddap > Make A Graph ?

Dataset Title:  EMODnet Physics - Total Suspended Matter - GridSeriesObservation -
Concentration of total suspended matter - MEDITERRANEAN SEA
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Institution:  ETT   (Dataset ID: TSM_MBSEA)
Information:  Summary ? | License ? | FGDC | ISO 19115 | Metadata | Background (external link) | Data Access Form | Files
 
Graph Type:  ?
X Axis:  ?
Y Axis:  ?
Color:  ?
 
Dimensions ?    Start ?    Stop ?
time (UTC) ?     specify just 1 value →
    |< -
< <
longitude (degrees_east) ?
    +
    -
< slider >
latitude (degrees_north) ?
    +
    -
< slider >
 
Graph Settings
Color Bar:   Continuity:   Scale: 
   Minimum:   Maximum:   N Sections: 
Draw land mask: 
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 ? )
    Click on the map to specify a new center point. ?
Zoom:
[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 {
  time {
    String _CoordinateAxisType "Time";
    Float64 actual_range 1.0228896e+9, 1.33056e+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";
  }
  longitude {
    String _CoordinateAxisType "Lon";
    Float32 actual_range -5.500419, 42.26944;
    String axis "X";
    String ioos_category "Location";
    String long_name "Longitude";
    String standard_name "longitude";
    String units "degrees_east";
    Float32 valid_max 42.26944;
    Float32 valid_min -5.500419;
  }
  latitude {
    String _CoordinateAxisType "Lat";
    Float32 actual_range 29.97013, 47.46961;
    String axis "Y";
    String ioos_category "Location";
    String long_name "Latitude";
    String standard_name "latitude";
    String units "degrees_north";
    Float32 valid_max 47.46961;
    Float32 valid_min 29.970133;
  }
  conc_tsm_mean {
    Float64 colorBarMaximum 100.0;
    Float64 colorBarMinimum 0.01;
    String colorBarScale "Log";
    String coordinates "lat lon";
    String long_name "conc_tsm_mean";
  }
  NC_GLOBAL {
    String _NCProperties "version=2,netcdf=4.7.4,hdf5=1.10.6";
    String cdm_data_type "Grid";
    String Conventions "COARDS, CF-1.6, ACDD-1.3";
    Float64 Easternmost_Easting 42.26944;
    Float64 geospatial_lat_max 47.46961;
    Float64 geospatial_lat_min 29.97013;
    Float64 geospatial_lat_resolution 0.00314399568810636;
    String geospatial_lat_units "degrees_north";
    Float64 geospatial_lon_max 42.26944;
    Float64 geospatial_lon_min -5.500419;
    Float64 geospatial_lon_resolution 0.003143994932210083;
    String geospatial_lon_units "degrees_east";
    String history 
"Tue Jun  8 13:34:49 2021: ncks -3 -L 1 -O 2011_12.nc 2011_12.nc3
Fri May 21 15:02:33 2021: ncks -7 -L 1 -O 2011_12.nc 2011_12.nc
Fri May 21 13:11:32 2021: ncks -x -v conc_tsm_mean,conc_tsm_sigma,crs,metadata,num_obs,num_passes 2011_12.nc.tmp 2011_12.nc
Fri May 21 13:11:01 2021: ncap2 -s defdim(\"time\",1);time[$time]=0;time@units=\"days since 2011-12-01T00:00:00Z\"; conctsmmean[$time,$lon,$lat]=conc_tsm_mean 2011-12.nc 2011_12.nc.tmp
2024-10-09T14:12:36Z (local files)
2024-10-09T14:12:36Z https://erddap.emodnet.eu/griddap/TSM_MBSEA.das";
    String infoUrl "https://map.emodnet-physics.eu/";
    String institution "ETT";
    String keywords "conc_tsm_mean, concentration, data, local, matter, source, suspended, time, total";
    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 metadata_profile "beam";
    String metadata_version "0.5";
    String NCO "netCDF Operators version 4.7.5 (Homepage = http://nco.sf.net, Code = https://github.com/nco/nco)";
    Float64 Northernmost_Northing 47.46961;
    String product_type "BINNED-L3";
    String sourceUrl "(local files)";
    Float64 Southernmost_Northing 29.97013;
    String standard_name_vocabulary "CF Standard Name Table v55";
    String start_date "27-NOV-2011 00:00:00.000000";
    String stop_date "26-DEC-2011 00:00:00.000000";
    String summary "EMODnet Physics - Total Suspended Matter - GridSeriesObservation - Concentration of total suspended matter - MEDITERRANEAN SEA";
    String TileSize "64:64";
    String time_coverage_end "2012-03-01T00:00:00Z";
    String time_coverage_start "2002-06-01T00:00:00Z";
    String title "EMODnet Physics - Total Suspended Matter - GridSeriesObservation - Concentration of total suspended matter - MEDITERRANEAN SEA";
    Float64 Westernmost_Easting -5.500419;
  }
}

 

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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