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ERDDAP > griddap > Make A Graph ?

Dataset Title:  USDOC/NOAA/NESDIS ECDC USC Vibrio Risk Analysis, 0.05°, 2013-present Subscribe RSS
Institution:  NOAA CoastWatch   (Dataset ID: noaa_aoml_a188_c9dc_029d)
Information:  Summary ? | License ? | FGDC | ISO 19115 | Metadata | Background (external link) | Data Access Form
 
Graph Type:  ?
X Axis:  ?
Y Axis:  ?
Color:  ?
 
Dimensions ?    Start ?    Stop ?
time (UTC) ?     specify just 1 value →
    << -
< <
latitude (degrees_north) ?
    +
    -
< slider >
longitude (degrees_east) ?
    +
    -
< slider >
 
Graph Settings
Color Bar:   Continuity:   Scale: 
   Minimum:   Maximum:   N Sections: 
Draw land mask: 
Y Axis Minimum:   Maximum:   Ascending: 
 
(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 1.3710384e+9, 1.5192144e+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";
  }
  latitude {
    String _CoordinateAxisType "Lat";
    Float32 actual_range -89.975, 89.975;
    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 -179.975, 179.975;
    String axis "X";
    String ioos_category "Location";
    String long_name "Longitude";
    String standard_name "longitude";
    String units "degrees_east";
  }
  daily_vibrio_risk {
    Float32 _FillValue NaN;
    Float32 actual_range 0.02700233, 41.979;
    Float64 colorBarMaximum 50.0;
    Float64 colorBarMinimum 0.0;
    String coordsys "geographic";
    String ioos_category "Unknown";
    String long_name "Daily Vibrio Risk";
    String variable_info "Preliminary Vibrio risk fields";
  }
  NC_GLOBAL {
    String cdm_data_type "Grid";
    String comment "This is a collaborative project involving NOAA CoastWatch, the European Centre for Disease Prevention and Control ECDC and the Universidade de Santiago de Compostela";
    String Conventions "COARDS, CF-1.6, ACDD-1.3";
    String creator_email "Joaquin.Trinanes@noaa.gov";
    String creator_name "Joaquin Trinanes";
    String creator_type "person";
    String creator_url "https://www.nesdis.noaa.gov/";
    String data_source "USDOC/NOAA/NESDIS COASTWATCH";
    Float64 Easternmost_Easting 179.975;
    Float64 geospatial_lat_max 89.975;
    Float64 geospatial_lat_min -89.975;
    Float64 geospatial_lat_resolution 0.049999999999999996;
    String geospatial_lat_units "degrees_north";
    Float64 geospatial_lon_max 179.975;
    Float64 geospatial_lon_min -179.975;
    Float64 geospatial_lon_resolution 0.049999999999999996;
    String geospatial_lon_units "degrees_east";
    String history 
"2018-02-23T16:18:44Z http://cwcgom.aoml.noaa.gov/thredds/dodsC/VIBRIO_RISK/RISK.nc
2018-02-23T16:18:44Z http://upwell.pfeg.noaa.gov/griddap/noaa_aoml_a188_c9dc_029d.das";
    String id "VIBRIO_RISK";
    String infoUrl "http://cwcgom.aoml.noaa.gov/thredds/dodsC/VIBRIO_RISK/RISK.nc.html";
    String institution "NOAA CoastWatch";
    String keywords "analysis, centre, coastwatch, commerce, control, daily, daily_vibrio_risk, data, day, department, disease, ecdc, environmental, european, information, latitude, longitude, national, nesdis, noaa, prevention, risk, satellite, service, states, time, united, usc, usdoc, vibrio";
    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.";
    Int32 nco_openmp_thread_number 1;
    Float64 Northernmost_Northing 89.975;
    String origin "USDOC/NOAA/NESDIS COASTWATCH";
    String sourceUrl "http://cwcgom.aoml.noaa.gov/thredds/dodsC/VIBRIO_RISK/RISK.nc";
    Float64 Southernmost_Northing -89.975;
    String standard_name_vocabulary "CF Standard Name Table v29";
    String summary "This is a collaborative project involving NOAA CoastWatch, the European Centre for Disease Prevention and Control ECDC and the Universidade de Santiago de Compostela";
    Float64 temporal_extent 86400.0;
    String temporal_extent_unit "seconds";
    String time_coverage_end "2018-02-21T12:00:00Z";
    String time_coverage_start "2013-06-12T12:00:00Z";
    String title "USDOC/NOAA/NESDIS ECDC USC Vibrio Risk Analysis, 0.05°, 2013-present";
    Float64 Westernmost_Easting -179.975;
  }
}

 

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://upwell.pfeg.noaa.gov/erddap/griddap/datasetID.fileType{?query}
For example,
https://upwell.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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