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Dataset Title:  FNMOC Sea Level Pressure for input to OSCURS Model, Longitude and Latitude Subscribe RSS
Institution:  FNMOC, NOAA ERD   (Dataset ID: erdlasFnOscursLL)
Information:  Summary ? | License ? | Metadata | Background (external link) | Data Access Form
 
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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 {
  y {
    Float32 actual_range 1.0, 92.0;
    String ioos_category "Location";
    String long_name "Y Index";
  }
  x {
    Float32 actual_range 1.0, 180.0;
    String ioos_category "Location";
    String long_name "X Index";
  }
  latitude {
    String ioos_category "Location";
    String standard_name "latitude";
    String units "degrees_north";
  }
  longitude {
    String ioos_category "Location";
    String standard_name "longitude";
    String units "degrees_east";
  }
  NC_GLOBAL {
    String cdm_data_type "Grid";
    String Conventions "COARDS, CF-1.6, ACDD-1.3";
    String creator_name "W. James Ingraham";
    String creator_type "person";
    String history 
"2018-02-18T01:34:38Z https://oceanview.pfeg.noaa.gov/thredds/dodsC/oscurs_model/oscurs_pressure.nc
2018-02-18T01:34:38Z http://coastwatch.pfeg.noaa.gov/griddap/erdlasFnOscursLL.das";
    String infoUrl "https://www.afsc.noaa.gov/REFM/docs/oscurs/get_to_know.htm";
    String institution "FNMOC, NOAA ERD";
    String keywords "erd, fnmoc, from, level, model, noaa, oscurs, pressure, sea";
    String keywords_vocabulary "GCMD Science Keywords";
    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 sourceUrl "https://oceanview.pfeg.noaa.gov/thredds/dodsC/oscurs_model/oscurs_pressure.nc";
    String standard_name_vocabulary "CF Standard Name Table v29";
    String summary 
"This dataset is used to convert x and y from the OSCURS model into longitude
and latitude.  The OSCURS numerical model is a research tool that allows
oceanographers and fisheries scientists to perform retrospective analyses of
daily ocean surface currents anywhere in a 90-km ocean-side grid from Baja
California to the Bering Strait.

ERD was established at the U.S. Navy Fleet Numerical Meteorology and
Oceanography Center (FNMOC) to take advantage of the Navy's global
oceanographic and meteorological databases. FNMOC produces operational
forecasts of the state of the atmosphere and the ocean several times daily
and maintains archives of several important parameters, such as sea level
pressure and temperature. ERD derives a number of well-known environmental
data and index products which are routinely distributed to researchers at
many state and federal laboratories, as well as to academic and international
researchers.";
    String title "FNMOC Sea Level Pressure for input to OSCURS Model, Longitude and Latitude";
  }
}

 

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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