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ERDDAP > griddap > Make A Graph ?

Dataset Title:  Craig, Alaska Tsunami Forecast Grids for MOST Model (Top Dataset, PMEL,
ChignikAK A)
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Institution:  NOAA OAR PMEL Center for Tsunami Research   (Dataset ID: noaa_ngdc_9abf_2a28_dd9e)
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:   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 {
  latitude {
    String _CoordinateAxisType "Lat";
    Float64 actual_range 53.8197, 57.9597;
    String axis "Y";
    String ioos_category "Location";
    String long_name "Latitude";
    String point_spacing "even";
    String standard_name "latitude";
    String units "degrees_north";
  }
  longitude {
    String _CoordinateAxisType "Lon";
    Float64 actual_range 198.254, 205.484;
    String axis "X";
    String ioos_category "Location";
    String long_name "Longitude";
    String point_spacing "even";
    String standard_name "longitude";
    String units "degrees_east";
  }
  bathy {
    Float32 _FillValue -1.0e+34;
    Float64 colorBarMaximum 8000.0;
    Float64 colorBarMinimum -8000.0;
    String colorBarPalette "TopographyDepth";
    String grid_mapping "crs";
    String ioos_category "Bathymetry";
    String long_name "Grid Bathymetry";
    Float32 missing_value -1.0e+34;
    String positive "down";
    String standard_name "sea_floor_depth_below_geoid";
    String units "meters";
    String VerticalDatum "urn:x-noaa:def:datum:noaa::MHW";
  }
  NC_GLOBAL {
    String cdm_data_type "Grid";
    String Conventions "CF-1.6,ACDD-1.3, COARDS";
    String creator_email "oar.pmel.tsunami-webmaster@noaa.gov";
    String creator_name "NOAA/PMEL/Center for Tsunami Research (CTR)";
    String creator_type "group";
    String creator_url "https://nctr.pmel.noaa.gov/";
    String date_created "2013-03-28";
    Float64 Easternmost_Easting 205.484;
    String geospatial_bounds_vertical_crs "EPSG:5868";
    Float64 geospatial_lat_max 57.9597;
    Float64 geospatial_lat_min 53.8197;
    Float64 geospatial_lat_resolution 0.020000000000000004;
    String geospatial_lat_units "degrees_north";
    Float64 geospatial_lon_max 205.484;
    Float64 geospatial_lon_min 198.254;
    Float64 geospatial_lon_resolution 0.030000000000000075;
    String geospatial_lon_units "degrees_east";
    String history 
"ncaedit.scm ChignikAK_A.nc -e nc-global:id:doi 10.7289/V5TQ5ZJF:text
2016-02-08 15:46:13 PST: most2netcdf -x chignik_forecastgridsLW.xml chignik_run2d/chignikSA_2.most
2018-05-24T10:22:49Z https://www.ngdc.noaa.gov/thredds/dodsC/pmel/ChignikAK_A.nc
2018-05-24T10:22:49Z http://upwell.pfeg.noaa.gov/griddap/noaa_ngdc_9abf_2a28_dd9e.das";
    String id "pmelDatasetScan/ChignikAK_A.nchttps://www.ngdc.noaa.gov/thredds/dodsC/pmel/ChignikAK_A.nc";
    String infoUrl "https://nctr.pmel.noaa.gov/";
    String institution "NOAA OAR PMEL Center for Tsunami Research";
    String keywords "alaska, atmospheric, bathy, bathymetry, below, center, chignikak, craig, data, dataset, depth, earth, Earth Science > Oceans > Bathymetry/Seafloor Topography > Bathymetry, Earth Science > Solid Earth > Geodetics/Gravity > Geoid Properties, environmental, floor, forecast, geodetics, geoid, gravity, grid, grids, inundation model, laboratory, latitude, longitude, marine, model, most, nested grid, noaa, oar, ocean, oceanic, oceans, office, pacific, pmel, properties, research, science, sea, sea_floor_depth_below_geoid, seafloor, solid, top, topography, tsunami";
    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 57.9597;
    String publisher_email "dem.info@noaa.gov";
    String publisher_name "National Centers for Environmental Information";
    String publisher_type "group";
    String publisher_url "https://www.ngdc.noaa.gov/mgg/bathymetry/relief.html";
    String references "https://nctr.pmel.noaa.gov/sim.html";
    String source "Craig, Alaska 1 arc-sec Coastal Digital Elevation Model, Craig, Alaska 1/3 arc-sec Coastal Digital Elevation Model, ETOPO1 1 Arc-Minute Global Relief Model";
    String sourceUrl "https://www.ngdc.noaa.gov/thredds/dodsC/pmel/ChignikAK_A.nc";
    Float64 Southernmost_Northing 53.8197;
    String standard_name_vocabulary "CF Standard Name Table v29";
    String summary "Craig, Alaska Tsunami Forecast Grids for MOST Model. Pacific Marine Environmental Laboratory (PMEL) Forecast Model Grids provide bathymetric data strictly for tsunami inundation modeling with the Method of Splitting Tsunami (MOST) model. MOST is a suite of numerical simulation codes capable of simulating three processes of tsunami evolution: generation, transoceanic propagation, and inundation of dry land. Tsunami waves are computationally propagated across a set of three nested grids (A, B, and C), each of which is successively finer in resolution, moving from offshore to onshore. Nearshore details are resolved to the point that model output can be directly compared with tide gauge observations and can provide estimates of wave arrival time, wave amplitude and simulation of wave inundation onto dry land.";
    String title "Craig, Alaska Tsunami Forecast Grids for MOST Model (Top Dataset, PMEL, ChignikAK A)";
    String version "1.0";
    Float64 Westernmost_Easting 198.254;
  }
}

 

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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