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ERDDAP > griddap > Make A Graph ?

Dataset Title:  COAMPS 3km Surface Fields (Reanalysis, No Gaps) Subscribe RSS
Institution:  Naval Research Laboratory, Monterey Marine Meteorology Division   (Dataset ID: nrlCOAMPS3kmNogap)
Information:  Summary ? | License ? | Metadata | Background (external link) | Data Access Form
 
Graph Type:  ?
X Axis:  ?
Y Axis:  ?
Color:  ?
 
Dimensions ?    Start ?    Stop ?
time (UTC) ?
    << - +
    -
< slider >
lat (count) ?     specify just 1 value →
    << -
< <
lon (count) ?     specify just 1 value →
    << -
< <
 
Graph Settings
Marker Type:   Size: 
Color: 
Color Bar:   Continuity:   Scale: 
   Minimum:   Maximum:   N Sections: 
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:
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    Time range:    <<    -              
[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 1.2438144e+9, 1.24908120576e+9;
    String axis "T";
    String ioos_category "Time";
    String long_name "Days since 2009-01-01 00 UTC";
    String standard_name "time";
    String time_origin "01-JAN-1970 00:00:00";
    String units "seconds since 1970-01-01T00:00:00Z";
  }
  lat {
    Int16 actual_range 0, 318;
    String ioos_category "Location";
    String long_name "Lat";
    String units "count";
  }
  lon {
    Int16 actual_range 0, 219;
    String ioos_category "Location";
    String long_name "Lon";
    String units "count";
  }
  air_temperature {
    String ioos_category "Temperature";
    String long_name "Air temperature";
    Float32 missing_value -9999.0;
    String units "deg C";
  }
  surface_temperature {
    String ioos_category "Temperature";
    String long_name "Ground temperature over land, Sea surface temperature over the ocean";
    Float32 missing_value -9999.0;
    String units "deg C";
  }
  lonflx {
    String ioos_category "Meteorology";
    String long_name "Net surface longwave radiative heat flux";
    Float32 missing_value -9999.0;
    String units "W/m**2";
  }
  relative_humidity {
    Float64 colorBarMaximum 100.0;
    Float64 colorBarMinimum 0.0;
    String ioos_category "Meteorology";
    String long_name "Relative Humidity";
    Float32 missing_value -9999.0;
    String units "percent";
  }
  air_pressure_at_sea_level {
    String ioos_category "Meteorology";
    String long_name "Sea Level Pressure";
    Float32 missing_value -9999.0;
    String units "millibars";
  }
  solflx {
    String ioos_category "Heat Flux";
    String long_name "Net surface shortwave radiative heat flux";
    Float32 missing_value -9999.0;
    String units "W/m**2";
  }
  ttlpcp {
    String ioos_category "Meteorology";
    String long_name "Hourly Precipitation";
    Float32 missing_value -9999.0;
    String units "mm";
  }
  x_wind {
    String ioos_category "Wind";
    String long_name "Zonal Wind";
    Float64 missing_value -9999.0;
    String units "m/s";
  }
  y_wind {
    String ioos_category "Wind";
    String long_name "Meridional Wind";
    Float32 missing_value -9999.0;
    String units "m/s";
  }
  wind_speed {
    String ioos_category "Wind";
    String long_name "Wind Speed";
    Float32 missing_value -9999.0;
    String units "m/s";
  }
  NC_GLOBAL {
    String cdm_data_type "Grid";
    String Conventions "COARDS, CF-1.4, Unidata Dataset Discovery v1.0";
    String fileid "none";
    String history 
"Mon Jul  2 15:16:34 2012: ncks -d time,0,719 all_template-n-save2.nc all_template-n-save.nc
Mon Jun 18 18:34:07 2012: ncatted -O -along_name,time,o,c,Days since 2009-01-01 00 UTC all_template-n-save2.nc
Mon Jun 11 10:51:17 2012: ncatted -along_name,time,o,c,Days since 2009-01-01, 00 UTC coamps_sfc_3km_jan2012.nc
Sat Jun  9 08:54:31 2012: ncks -d time,0,743 all_template-n-save.nc all_template-month.nc
Fri Jun  8 20:26:40 2012: ncatted -O -along_name,time,o,c,Days since 00 UTC on the first day of the month and year in the filename all_template-n-save.nc
none
2018-01-19T09:33:51Z http://oceanview.pfeg.noaa.gov/thredds/dodsC/Model/COAMPS/sfc_3km_gap_free
2018-01-19T09:33:51Z http://coastwatch.pfeg.noaa.gov/griddap/nrlCOAMPS3kmNogap.das";
    String infoUrl "http://www.nrlmry.navy.mil/coamps-web/web/home";
    String institution "Naval Research Laboratory, Monterey Marine Meteorology Division";
    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_Conventions "COARDS, CF-1.4, Unidata Dataset Discovery v1.0";
    Int32 nco_openmp_thread_number 1;
    String sourceUrl "http://oceanview.pfeg.noaa.gov/thredds/dodsC/Model/COAMPS/sfc_3km_gap_free";
    String standard_name_vocabulary "CF-12";
    String summary "COAMPS_Surface_Fields";
    String time_coverage_end "2009-07-31T23:00:05Z";
    String time_coverage_start "2009-06-01T00:00:00Z";
    String title "COAMPS 3km Surface Fields (Reanalysis, No Gaps)";
    String type "COAMPS";
  }
}

 

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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