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Dataset Title:  COAMPS 3km Surface Fields Subscribe RSS
Institution:  Naval Research Laboratory, Monterey Marine Meteorology Division   (Dataset ID: nrlCOAMPS3km)
Information:  Summary ? | License ? | Metadata | Background (external link) | Make a graph
 
Dimensions ? Start ? Stride ? Stop ?  Size ?    Spacing ?
 time (UTC) ?      26304    1h 0m 0s (uneven)
  < slider >
 lat (count) ?      319    1.0 (even)
  < slider >
 lon (count) ?      220    1.0 (even)
  < slider >
 
Grid Variables (which always also download all of the dimension variables) 
 air_temperature (deg C) ?
 surface_temperature (Ground temperature over land, Sea surface temperature over the ocean, deg C) ?
 lonflx (Net surface longwave radiative heat flux, W/m**2) ?
 relative_humidity (percent) ?
 air_pressure_at_sea_level (millibars) ?
 solflx (Net surface shortwave radiative heat flux, W/m**2) ?
 hourly_precip (Hourly Precipitation, mm) ?
 x_wind (Zonal Wind, m/s) ?
 y_wind (Meridional Wind, m/s) ?
 wind_speed (m/s) ?

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 1.2438144e+9, 1.3385051712e+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";
  }
  hourly_precip {
    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 "CF-1.6, ACDD-1.3, COARDS";
    String fileid "none";
    String history 
"Mon Jun 11 11:08:32 2012: ncatted -along_name,time,o,c,Days since 2009-01-01, 00 UTC coamps_sfc_3km_apr2012.nc
Sun Jun 10 18:48:34 2012: ncks -d time,0,719 coamps_sfc_3km_jan2012.nc all_template-n-save.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
2024-03-29T09:34:14Z https://oceanview.pfeg.noaa.gov/thredds/dodsC/Model/COAMPS/sfc_3km
2024-03-29T09:34:14Z http://coastwatch.pfeg.noaa.gov/erddap/griddap/nrlCOAMPS3km.das";
    String infoUrl "https://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.";
    Int32 nco_openmp_thread_number 1;
    String sourceUrl "https://oceanview.pfeg.noaa.gov/thredds/dodsC/Model/COAMPS/sfc_3km";
    String standard_name_vocabulary "CF Standard Name Table v70";
    String summary "COAMPS_Surface_Fields";
    String time_coverage_end "2012-05-31T22:59:31Z";
    String time_coverage_start "2009-06-01T00:00:00Z";
    String title "COAMPS 3km Surface Fields";
    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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