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ERDDAP > griddap > Make A Graph ?

Dataset Title:  Top Dataset, surface, pres.sfc.mon.mean (Monthly NCEP/DOE Reanalysis 2), 2.5°,
1979-present
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Institution:  National Centers for Environmental Prediction   (Dataset ID: noaa_esrl_fadb_89dd_c934)
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 2.839968e+8, 1.5198624e+9;
    String avg_period "0000-01-00 00:00:00";
    String axis "T";
    String coordinate_defines "start";
    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 -90.0, 90.0;
    String axis "Y";
    String coordinate_defines "point";
    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, 357.5;
    String axis "X";
    String coordinate_defines "point";
    String ioos_category "Location";
    String long_name "Longitude";
    String standard_name "longitude";
    String units "degrees_east";
  }
  pres {
    Float32 actual_range 49278.07, 105483.2;
    String cell_methods "time: mean (monthly from 6-hourly values)";
    Float64 colorBarMaximum 105000.0;
    Float64 colorBarMinimum 95000.0;
    String drawLandMask "under";
    Int16 GRIB_id 1;
    String GRIB_name "PRES";
    String ioos_category "Pressure";
    Int16 least_significant_digit -1;
    String level_desc "Surface";
    String long_name "Monthly Pressure at Surface";
    Float32 missing_value 687310.0;
    String parent_stat "Other";
    Int16 precision -1;
    String standard_name "air_pressure";
    String statistic "Individual Obs";
    String units "Pascals";
    Float32 valid_range 32000.0, 195000.0;
    String var_desc "Pressure";
  }
  NC_GLOBAL {
    String cdm_data_type "Grid";
    String comment 
"Data is from 
NCEP/DOE AMIP-II Reanalysis (Reanalysis-2)
(4x/day).  Data interpolated from model (sigma) surfaces to rectangular grid.";
    String Conventions "CF-1.6, COARDS, 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-DOE AMIP-II Reanalysis";
    Float64 Easternmost_Easting 357.5;
    Float64 geospatial_lat_max 90.0;
    Float64 geospatial_lat_min -90.0;
    Float64 geospatial_lat_resolution 2.5;
    String geospatial_lat_units "degrees_north";
    Float64 geospatial_lon_max 357.5;
    Float64 geospatial_lon_min 0.0;
    Float64 geospatial_lon_resolution 2.5;
    String geospatial_lon_units "degrees_east";
    String history 
"created 2002/03 by Hoop (netCDF2.3)
2018-04-26T09:33:48Z https://www.esrl.noaa.gov/psd/thredds/dodsC/Datasets/ncep.reanalysis2.derived/surface/pres.sfc.mon.mean.nc
2018-04-26T09:33:48Z http://upwell.pfeg.noaa.gov/griddap/noaa_esrl_fadb_89dd_c934.das";
    String id "Datasets/ncep.reanalysis2.derived/surface/pres.sfc.mon.mean.nchttps://www.esrl.noaa.gov/psd/thredds/dodsC/Datasets/ncep.reanalysis2.derived/surface/pres.sfc.mon.mean.nc";
    String infoUrl "https://www.esrl.noaa.gov/psd/data/gridded/data.ncep.reanalysis2.html";
    String institution "National Centers for Environmental Prediction";
    String keywords "air, air_pressure, amip, atmosphere, atmospheric, centers, data, dataset, department, doe, earth, Earth Science > Atmosphere > Atmospheric Pressure > Atmospheric Pressure Measurements, Earth Science > Atmosphere > Atmospheric Pressure > Sea Level Pressure, Earth Science > Atmosphere > Atmospheric Pressure > Static Pressure, energy, environmental, intercomparison, latitude, level, longitude, measurements, model, month, monthly, national, ncep, prediction, pres, pres.sfc.mon.mean, pressure, project, reanalysis, science, sea, static, surface, time, top";
    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 platform "Model";
    String references "https://www.esrl.noaa.gov/psd/data/gridded/data.ncep.reanalysis2.html";
    String source "NCEP/DOE AMIP-II Reanalysis (Reanalysis-2) Model";
    String source_url "http://www.cpc.ncep.noaa.gov/products/wesley/reanalysis2/";
    String sourceUrl "https://www.esrl.noaa.gov/psd/thredds/dodsC/Datasets/ncep.reanalysis2.derived/surface/pres.sfc.mon.mean.nc";
    Float64 Southernmost_Northing -90.0;
    String standard_name_vocabulary "CF Standard Name Table v29";
    String summary 
"Monthly National Centers for Environmental Prediction (NCEP)/Department of Energy (DOE) Reanalysis 2. Data is from 
NCEP/DOE Atmosphere Model Intercomparison Project (AMIP)-II Reanalysis (Reanalysis-2)
(4x/day).  Data interpolated from model (sigma) surfaces to rectangular grid.";
    String testOutOfDate "now-95days";
    String time_coverage_end "2018-03-01T00:00:00Z";
    String time_coverage_start "1979-01-01T00:00:00Z";
    String title "Top Dataset, surface, pres.sfc.mon.mean (Monthly NCEP/DOE Reanalysis 2), 2.5°, 1979-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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