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ERDDAP > griddap > Make A Graph ?

Dataset Title:  Akhiok, Alaska 8/15 sec Coastal Digital Elevation Model (akhiok ak 815 mhhw
2019), 1.4814814E-4°
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Institution:  NOAA NGDC   (Dataset ID: noaa_ngdc_91ed_8381_f8c9)
Information:  Summary ? | License ? | FGDC | ISO 19115 | Metadata | Background (external link) | Data Access Form
 
Graph Type:  ?
X Axis:  ?
Y Axis:  ?
Color:  ?
 
Dimensions ?    Start ?    Stop ?
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:   
 
(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 {
  latitude {
    String _CoordinateAxisType "Lat";
    Float64 actual_range 56.88, 56.9899259273;
    String axis "Y";
    String ioos_category "Location";
    String long_name "Latitude";
    String standard_name "latitude";
    String units "degrees_north";
  }
  longitude {
    String _CoordinateAxisType "Lon";
    Float64 actual_range -154.28, -154.0799999975;
    String axis "X";
    String ioos_category "Location";
    String long_name "Longitude";
    String standard_name "longitude";
    String units "degrees_east";
  }
  z {
    Float32 _FillValue NaN;
    Float32 actual_range -91.823586, 559.5325;
    Float64 colorBarMaximum 600.0;
    Float64 colorBarMinimum -200.0;
    String ioos_category "Bathymetry";
    String long_name "Topography";
    String units "m";
  }
  NC_GLOBAL {
    String _NCProperties "version=1|netcdflibversion=4.4.1.1|hdf5libversion=1.10.1";
    String cdm_data_type "Grid";
    String Conventions "COARDS, CF-1.6, ACDD-1.3";
    String creator_email "ngdc.info@noaa.gov";
    String creator_name "NOAA NGDC";
    String creator_type "institution";
    String creator_url "https://www.ngdc.noaa.gov/";
    String description 
"Projection: Geographic
\tGrid created by mbgrid
\tMB-system Version 5.5.2334
\tRun by <cires> on <localhost.localdomain> at <Thu Feb  7 09:51:05 2019>";
    Float64 Easternmost_Easting -154.0799999975;
    Float64 geospatial_lat_max 56.9899259273;
    Float64 geospatial_lat_min 56.88;
    Float64 geospatial_lat_resolution 1.4814814999999633e-4;
    String geospatial_lat_units "degrees_north";
    Float64 geospatial_lon_max -154.0799999975;
    Float64 geospatial_lon_min -154.28;
    Float64 geospatial_lon_resolution 1.4814814999999305e-4;
    String geospatial_lon_units "degrees_east";
    String GMT_version "5.4.2 (r18461) [64-bit]";
    String history 
"Wed Jan 15 19:36:49 2020: ncatted -O -a history,global,d,c, akhiok_ak_815_mhhw_2019.nc
2024-04-27T10:35:59Z https://www.ngdc.noaa.gov/thredds/dodsC/regional/akhiok_ak_815_mhhw_2019.nc
2024-04-27T10:35:59Z http://upwell.pfeg.noaa.gov/griddap/noaa_ngdc_91ed_8381_f8c9.das";
    String id "regionalDatasetScan/akhiok_ak_815_mhhw_2019.nc";
    String infoUrl "https://www.ngdc.noaa.gov/mgg/coastal/coastal.html";
    String institution "NOAA NGDC";
    String keywords "akhiok, alaska, bathymetry, center, centers, coastal, data, digital, elevation, environmental, geophysical, information, latitude, longitude, mhhw, model, national, ncei, nesdis, ngdc, noaa, sec, topography";
    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 "4.6.8";
    Float64 Northernmost_Northing 56.9899259273;
    String sourceUrl "https://www.ngdc.noaa.gov/thredds/dodsC/regional/akhiok_ak_815_mhhw_2019.nc";
    Float64 Southernmost_Northing 56.88;
    String standard_name_vocabulary "CF Standard Name Table v70";
    String summary "Akhiok, Alaska 8/15 sec Coastal Digital Elevation Model. National Centers for Environmental Information (NCEI) builds and distributes high-resolution, coastal digital elevation models (DEMs) that integrate ocean bathymetry and land topography to support NOAA's mission to understand and predict changes in Earth's environment, and conserve and manage coastal and marine resources to meet our Nation's economic, social, and environmental needs. DEMs are used for coastal process modeling (tsunami inundation, storm surge, sea-level rise, contaminant dispersal, etc.), ecosystems management and habitat research, coastal and marine spatial planning, and hazard mitigation and community preparedness.";
    String title "Akhiok, Alaska 8/15 sec Coastal Digital Elevation Model (akhiok ak 815 mhhw 2019), 1.4814814E-4°";
    Float64 Westernmost_Easting -154.28;
  }
}

 

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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