Make A Graph

Dataset Title:	SWAN Nearshore High-Resolution Model (120 meters) for Puerto Rico and Municipality Islands
Institution:	CARICOOS (Dataset ID: Historical_9810_6460_3129)
Information:	Summary \| License \| FGDC \| ISO 19115 \| Metadata \| Background \| Data Access Form

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Graph Type:
X Axis:
Y Axis:
Color:

Dimensions

Start

Stop

time (UTC)

specify just 1 value →

latitude (degrees_north)

longitude (degrees_east)

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:

Web page authors can embed a graph of the latest data in a web page using HTML <img> tags.
Anyone can use ERDDAPs Slide Sorter to build a personal web page that displays graphs with the latest data (or other images or HTML content), each in its own, draggable slide.

The Dataset Attribute Structure (.das) for this Dataset

Attributes {
  time {
    Int32 _ChunkSizes 41;
    String _CoordinateAxisType "Time";
    Float64 actual_range 1.727784e+9, 1.732536e+9;
    String axis "T";
    String ioos_category "Time";
    String long_name "Forecast time for ForecastModelRunCollection";
    String standard_name "time";
    String time_origin "01-JAN-1970 00:00:00";
    String units "seconds since 1970-01-01T00:00:00Z";
  }
  latitude {
    Int32 _ChunkSizes 741;
    String _CoordinateAxisType "Lat";
    Float32 actual_range 17.8, 18.6;
    String axis "Y";
    String ioos_category "Location";
    String long_name "Latitude";
    String standard "latitude";
    String standard_name "latitude";
    String units "degrees_north";
  }
  longitude {
    Int32 _ChunkSizes 2110;
    String _CoordinateAxisType "Lon";
    Float32 actual_range -67.5, -65.1;
    String axis "X";
    String ioos_category "Location";
    String long_name "Longitude";
    String standard "longitude";
    String standard_name "longitude";
    String units "degrees_east";
  }
  dir {
    Int32 _ChunkSizes 9, 186, 528;
    Float64 colorBarMaximum 360.0;
    Float64 colorBarMinimum 0.0;
    String ioos_category "Surface Waves";
    String long_name "Sea Surface Wave Direction";
    String standard_name "sea_surface_wave_direction";
    String units "degrees_true";
  }
  tp {
    Int32 _ChunkSizes 9, 186, 528;
    Float64 colorBarMaximum 18.0;
    Float64 colorBarMinimum 0.0;
    String ioos_category "Surface Waves";
    String long_name "Sea Surface Wind Wave Period";
    String standard_name "sea_surface_wind_wave_period";
    String units "seconds";
  }
  hs {
    Int32 _ChunkSizes 9, 186, 528;
    Float64 colorBarMaximum 3.0;
    Float64 colorBarMinimum 0.0;
    String ioos_category "Surface Waves";
    String long_name "Sea Surface Wave Significant Height";
    String standard_name "sea_surface_wave_significant_height";
    String units "meters";
  }
  NC_GLOBAL {
    String cdm_data_type "Grid";
    String comment "Model implemented by Dr.Miguel Canals, miguelf.canals@upr.edu";
    String Conventions "COARDS, CF-1.6, ACDD-1.3";
    String creation_date "21-Nov-2024 02:56:26";
    String creator_email "edward.cruz1@upr.edu";
    String creator_name "Edward Cruz Garcia";
    String creator_type "person";
    String creator_url "https://www.caricoos.org/";
    String dt "3 hours";
    String dx "120 meter";
    String dy "120 meter";
    Float64 Easternmost_Easting -65.1;
    Float64 geospatial_lat_max 18.6;
    Float64 geospatial_lat_min 17.8;
    Float64 geospatial_lat_resolution 0.001081081081081082;
    String geospatial_lat_units "degrees_north";
    Float64 geospatial_lon_max -65.1;
    Float64 geospatial_lon_min -67.5;
    String geospatial_lon_units "degrees_east";
    String history 
"Model output from the CARICOOS Nearshore Wave Model, a state of the art wave forecast system based on the Simulating Waves Nearshore (Simulating WAves Nearshore model (SWAN)) spectral wave model.  Model is run on CARICOOS HPC facilites.  Only the regional PR-USVI grid is included in this product, however, high-resolution subgrid output is available upon request. Starting with Version 2 in 2012 the model output collection has progressed through several model versions.  The latest version, SWAN Version 10, came online on October 1, 2024.
2024-11-22T01:06:47Z (local files)
2024-11-22T01:06:47Z http://dm3.caricoos.org:8003/griddap/Historical_9810_6460_3129.das";
    String infoUrl "https://www.caricoos.org/";
    String institution "CARICOOS";
    String keywords "caricoos, data, dir, direction, earth, Earth Science > Oceans > Ocean Waves > Significant Wave Height, Earth Science > Oceans > Ocean Waves > Wave Period, Earth Science > Oceans > Ocean Waves > Wind Waves, height, high, high-resolution, meters, model, nearshore, ocean, oceans, period, resolution, science, sea, sea_surface_wave_direction, sea_surface_wave_significant_height, sea_surface_wind_wave_period, significant, simulating, surface, surface waves, swan, time, wave, waves, wind";
    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 18.6;
    String runstartdate "20241120.1200";
    String source "SWAN v.10";
    String sourceUrl "(local files)";
    Float64 Southernmost_Northing 17.8;
    String standard_name_vocabulary "CF Standard Name Table v70";
    String summary "Model implemented by Dr.Miguel Canals, miguelf.canals@upr.edu";
    String testOutOfDate "now-5days";
    String time_coverage_end "2024-11-25T12:00:00Z";
    String time_coverage_start "2024-10-01T12:00:00Z";
    String title "SWAN Nearshore High-Resolution Model (120 meters) for Puerto Rico and Municipality Islands";
    Float64 Westernmost_Easting -67.5;
  }
}

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.

(easy) You can get data by using the dataset's Data Access Form. It makes the URL for you.
(easy) You can make a graph or map by using the dataset's Make A Graph form. It makes the URL for you.
(not hard) You can bypass the forms and get the data or make a graph or map by generating the URL by hand or with a computer program or script.

griddap request URLs must be in the form
https://coastwatch.pfeg.noaa.gov/erddap/griddap/datasetID.fileType{?query}
For example,
https://coastwatch.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.