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ERDDAP > griddap > Make A Graph ?

Dataset Title:  broad river s110 30m Subscribe RSS
Institution:  NOAA NGDC   (Dataset ID: noaa_ngdc_2f67_59ce_f2ee)
Information:  Summary ? | License ? | Metadata | Background (external link) | Data Access Form
 
Graph Type:  ?
X Axis:  ?
Y Axis:  ?
Color:  ?
 
Dimensions ?    Start ?    Stop ?
y (m) ?
    +
    -
< slider >
x (m) ?
    +
    -
< slider >
 
Graph Settings
Color Bar:   Continuity:   Scale: 
   Minimum:   Maximum:   N Sections: 
Y Axis Minimum:   Maximum:   
 
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Then set the File Type: (File Type information)
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    [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 {
  y {
    Float64 actual_range 3564039.578647411, 3601299.578647411;
    String ioos_category "Location";
    String long_name "y coordinate of projection";
    String standard_name "projection_y_coordinate";
    String units "m";
  }
  x {
    Float64 actual_range 508079.82537474943, 545279.8253747495;
    String ioos_category "Location";
    String long_name "x coordinate of projection";
    String standard_name "projection_x_coordinate";
    String units "m";
  }
  Band1 {
    Float32 _FillValue -9999.0;
    Float64 colorBarMaximum 100.0;
    Float64 colorBarMinimum 0.0;
    String ioos_category "Statistics";
    String long_name "GDAL Band Number 1";
  }
  NC_GLOBAL {
    String cdm_data_type "Grid";
    String Conventions "CF-1.6, COARDS, 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 GDAL "GDAL 2.1.0, released 2016/04/25";
    String GDAL_AREA_OR_POINT "Point";
    Float64 grid_mapping_false_easting 500000.0;
    Float64 grid_mapping_false_northing 0.0;
    String grid_mapping_GeoTransform "508064.8253747494 30 0 3601314.578647411 0 -30";
    Float64 grid_mapping_inverse_flattening 298.257222101;
    Float64 grid_mapping_latitude_of_projection_origin 0.0;
    String grid_mapping_long_name "CRS definition";
    Float64 grid_mapping_longitude_of_central_meridian -81.0;
    Float64 grid_mapping_longitude_of_prime_meridian 0.0;
    String grid_mapping_name "transverse_mercator";
    Float64 grid_mapping_scale_factor_at_central_meridian 0.9996;
    Float64 grid_mapping_semi_major_axis 6378137.0;
    String grid_mapping_spatial_ref "PROJCS[\"NAD83 / UTM zone 17N\",GEOGCS[\"NAD83\",DATUM[\"North_American_Datum_1983\",SPHEROID[\"GRS 1980\",6378137,298.257222101,AUTHORITY[\"EPSG\",\"7019\"]],TOWGS84[0,0,0,0,0,0,0],AUTHORITY[\"EPSG\",\"6269\"]],PRIMEM[\"Greenwich\",0,AUTHORITY[\"EPSG\",\"8901\"]],UNIT[\"degree\",0.0174532925199433,AUTHORITY[\"EPSG\",\"9122\"]],AUTHORITY[\"EPSG\",\"4269\"]],PROJECTION[\"Transverse_Mercator\"],PARAMETER[\"latitude_of_origin\",0],PARAMETER[\"central_meridian\",-81],PARAMETER[\"scale_factor\",0.9996],PARAMETER[\"false_easting\",500000],PARAMETER[\"false_northing\",0],UNIT[\"metre\",1,AUTHORITY[\"EPSG\",\"9001\"]],AXIS[\"Easting\",EAST],AXIS[\"Northing\",NORTH],AUTHORITY[\"EPSG\",\"26917\"]]";
    String history 
"Wed Apr 12 22:14:27 2017: GDAL CreateCopy( broad_river_s110_30m.nc, ... )
2024-04-27T11:22:50Z https://www.ngdc.noaa.gov/thredds/dodsC/regional/broad_river_s110_30m.nc
2024-04-27T11:22:50Z http://upwell.pfeg.noaa.gov/griddap/noaa_ngdc_2f67_59ce_f2ee.das";
    String id "regionalDatasetScan/broad_river_s110_30m.nc";
    String infoUrl "https://www.ngdc.noaa.gov/mgg/coastal/coastal.html";
    String institution "NOAA NGDC";
    String keywords "30m, band, Band1, broad, center, centers, data, environmental, gdal, geophysical, information, national, ncei, nesdis, ngdc, noaa, number, river, s110, statistics";
    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://www.ngdc.noaa.gov/thredds/dodsC/regional/broad_river_s110_30m.nc";
    String standard_name_vocabulary "CF Standard Name Table v70";
    String summary "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 "broad river s110 30m";
  }
}

 

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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