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ERDDAP > griddap > Make A Graph ?

Dataset Title:  FNMOC 500 mb Geopotential Height, 360x181, Monthly Subscribe RSS
Institution:  FNMOC, NOAA ERD   (Dataset ID: erdlasFn500mb)
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 8.992512e+8, 1.5198624e+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 -90.0, 90.0;
    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 0.0, 359.0;
    String axis "X";
    String ioos_category "Location";
    String long_name "Longitude";
    String standard_name "longitude";
    String units "degrees_east";
  }
  z_mean {
    Float32 _FillValue -9999.0;
    Float64 colorBarMaximum 6000.0;
    Float64 colorBarMinimum 4500.0;
    String ioos_category "Pressure";
    String long_name "Geopotential height at 500mb";
    String units "gp";
  }
  NC_GLOBAL {
    String cdm_data_type "Grid";
    String Conventions "COARDS, CF-1.6, ACDD-1.3";
    Float64 Easternmost_Easting 359.0;
    Float64 geospatial_lat_max 90.0;
    Float64 geospatial_lat_min -90.0;
    Float64 geospatial_lat_resolution 1.0;
    String geospatial_lat_units "degrees_north";
    Float64 geospatial_lon_max 359.0;
    Float64 geospatial_lon_min 0.0;
    Float64 geospatial_lon_resolution 1.0;
    String geospatial_lon_units "degrees_east";
    String history 
"2018-04-25T21:51:07Z https://oceanview.pfeg.noaa.gov/thredds/dodsC/FNMOC/500mbaves.nc
2018-04-25T21:51:07Z http://upwell.pfeg.noaa.gov/griddap/erdlasFn500mb.das";
    String infoUrl "https://www.pfeg.noaa.gov/products/PFEL/modeled/500mb_height/500mb_height.html";
    String institution "FNMOC, NOAA ERD";
    String keywords "360x181, 500mb, erd, fnmoc, geopotential, height, monthly, noaa, pressure";
    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.";
    Float64 Northernmost_Northing 90.0;
    String sourceUrl "https://oceanview.pfeg.noaa.gov/thredds/dodsC/FNMOC/500mbaves.nc";
    Float64 Southernmost_Northing -90.0;
    String standard_name_vocabulary "CF Standard Name Table v29";
    String summary 
"Monthly means of the FNMOC (Fleet Numerical Meteorology and Oceanography Center) 6-hourly analyzed geopotential height field on a 360 by 181 global spherical grid (1 degree). For more information on the models used to compute these data please see:

Rosmond, T. E., 1992: A prototype fully coupled Ocean-Atmosphere Prediction System, Oceanography Vol. 5, No. 1, 25-30.

Clancy, R. M., 1992: Operational Modeling: Ocean Modeling at the Fleet Numerical Oceanography Center, Oceanography Vol. 5, No. 1, 31-35.

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 time_coverage_end "2018-03-01T00:00:00Z";
    String time_coverage_start "1998-07-01T00:00:00Z";
    String title "FNMOC 500 mb Geopotential Height, 360x181, Monthly";
    Float64 Westernmost_Easting 0.0;
  }
}

 

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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