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ERDDAP > griddap > Make A Graph ?

Dataset Title:  monthly mean tmp.10-200cm from the NCEP Reanalysis (tmp.10-200cm.mon.mean),
1948-present
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Institution:  NOAA NWS NCEP, NCAR   (Dataset ID: noaa_esrl_c20c_b47d_ca0e)
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 -6.943104e+8, 1.5198624e+9;
    String avg_period "0000-01-00 00:00:00";
    String axis "T";
    String delta_t "0000-01-00 00:00:00";
    String ioos_category "Time";
    String long_name "Time";
    String prev_avg_period "0000-00-01 00:00:00";
    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 -88.542, 88.542;
    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, 358.125;
    String axis "X";
    String ioos_category "Location";
    String long_name "Longitude";
    String standard_name "longitude";
    String units "degrees_east";
  }
  tmp {
    Float32 actual_range 199.8999, 307.43;
    Float64 colorBarMaximum 313.0;
    Float64 colorBarMinimum 263.0;
    String drawLandMask "under";
    Int16 GRIB_id 11;
    String GRIB_name "TMP";
    String ioos_category "Temperature";
    Int16 least_significant_digit 1;
    String level_desc "Between 10-200 cm BGL";
    String long_name "Monthly Mean Temperature between 10-200 cm below ground level";
    Float32 missing_value -9.96921e+36;
    String parent_stat "Mean";
    Int16 precision 2;
    String statistic "Mean";
    String units "degK";
    Float32 valid_range 150.0, 400.0;
    String var_desc "Temperature";
  }
  NC_GLOBAL {
    String cdm_data_type "Grid";
    String Conventions "COARDS, CF-1.6, ACDD-1.3";
    String creator_email "Wesley.Ebisuzaki@noaa.gov";
    String creator_name "NOAA NWS NCEP, NCAR";
    String creator_type "institution";
    String creator_url "http://www.cpc.ncep.noaa.gov/products/wesley/reanalysis.html";
    String dataset_title "NCEP-NCAR Reanalysis 1";
    String description 
"Data is from NCEP initialized reanalysis
(4x/day).  It consists of T42  variables interpolated to
pressure surfaces from model (sigma) surfaces.";
    Float64 Easternmost_Easting 358.125;
    Float64 geospatial_lat_max 88.542;
    Float64 geospatial_lat_min -88.542;
    String geospatial_lat_units "degrees_north";
    Float64 geospatial_lon_max 358.125;
    Float64 geospatial_lon_min 0.0;
    Float64 geospatial_lon_resolution 1.875;
    String geospatial_lon_units "degrees_east";
    String history 
"Created 2011/06/28 by ESRL/PSD Web & Data Team
Converted to chunked, deflated non-packed NetCDF4 2014/09
2018-04-20T06:59:03Z https://www.esrl.noaa.gov/psd/thredds/dodsC/Datasets/ncep.reanalysis.derived/surface_gauss/tmp.10-200cm.mon.mean.nc
2018-04-20T06:59:03Z http://upwell.pfeg.noaa.gov/griddap/noaa_esrl_c20c_b47d_ca0e.das";
    String id "Datasets/ncep.reanalysis.derived/surface_gauss/tmp.10-200cm.mon.mean.nchttps://www.esrl.noaa.gov/psd/thredds/dodsC/Datasets/ncep.reanalysis.derived/surface_gauss/tmp.10-200cm.mon.mean.nc";
    String infoUrl "https://www.esrl.noaa.gov/psd/data/gridded/data.ncep.reanalysis.derived.html";
    String institution "NOAA NWS NCEP, NCAR";
    String keywords "10-200, 200cm, 200cm.mon.mean, atmospheric, below, between, center, centers, data, environmental, ground, latitude, level, longitude, mean, month, monthly, national, ncar, ncep, noaa, nws, prediction, reanalysis, research, service, temperature, time, tmp, tmp.10, tmp.10-200cm, tmp.10-200cm.mon.mean, weather";
    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 NCO "20121013";
    Float64 Northernmost_Northing 88.542;
    String platform "Model";
    String references "https://www.esrl.noaa.gov/psd/data/gridded/data.ncep.reanalysis.derived.html";
    String sourceUrl "https://www.esrl.noaa.gov/psd/thredds/dodsC/Datasets/ncep.reanalysis.derived/surface_gauss/tmp.10-200cm.mon.mean.nc";
    Float64 Southernmost_Northing -88.542;
    String standard_name_vocabulary "CF Standard Name Table v29";
    String summary 
"Data is from National Centers for Environmental Prediction (NCEP) initialized reanalysis
(4x/day).  It consists of T42  variables interpolated to
pressure surfaces from model (sigma) surfaces.";
    String testOutOfDate "now-95days";
    String time_coverage_end "2018-03-01T00:00:00Z";
    String time_coverage_start "1948-01-01T00:00:00Z";
    String title "monthly mean tmp.10-200cm from the NCEP Reanalysis (tmp.10-200cm.mon.mean), 1948-present";
    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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