Make A Graph

Dataset Title:	CARICOOS WRF-NMM 6km, Best Aggregated
Institution:	CARICOOS (Dataset ID: d01_dd52_9841_3fc0)
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 {
    String _CoordinateAxisType "Time";
    Float32 _FillValue NaN;
    Float64 actual_range 1.7040672e+9, 1.727136e+9;
    String axis "T";
    String ioos_category "Time";
    String long_name "Time";
    String standard_name "time";
    String time_origen "01-JAN-1970 00:00:00";
    String time_origin "01-JAN-1970 00:00:00";
    String units "seconds since 1970-01-01T00:00:00Z";
  }
  latitude {
    String _CoordinateAxisType "Lat";
    Float32 _FillValue NaN;
    Float32 actual_range 15.67208, 21.0523;
    String axis "Y";
    String ioos_category "Location";
    String long_name "Latitude";
    String standard_name "latitude";
    String units "degrees_north";
  }
  longitude {
    String _CoordinateAxisType "Lon";
    Float32 _FillValue NaN;
    Float32 actual_range -69.70196, -61.98624;
    String axis "X";
    String ioos_category "Location";
    String long_name "Longitude";
    String standard_name "longitude";
    String units "degrees_east";
  }
  U10 {
    Float32 _FillValue NaN;
    Float64 colorBarMaximum 2.5;
    Float64 colorBarMinimum -10.5;
    String description "U at 10 M";
    Int32 FieldType 104;
    String ioos_category "Currents";
    String units "m s-1";
  }
  V10 {
    Float32 _FillValue NaN;
    Float64 colorBarMaximum 2.5;
    Float64 colorBarMinimum -10.5;
    String description "V at 10 M";
    Int32 FieldType 104;
    String ioos_category "Currents";
    String units "m s-1";
  }
  SST {
    Float32 _FillValue NaN;
    Float64 colorBarMaximum 32.0;
    Float64 colorBarMinimum 20.0;
    String ioos_category "Temperature";
    String long_name "Sea Surface Temperature";
    String standard_name "sea_surface_temperature";
    String units "degree_C";
  }
  RH02 {
    Float32 _FillValue NaN;
    String description "Shelter Relative Humidity";
    Int32 FieldType 104;
    String ioos_category "Unknown";
    String long_name "RH02";
    String MemoryOrder "XY";
  }
  wind_speed {
    Float32 _FillValue NaN;
    Float64 colorBarMaximum 15.0;
    Float64 colorBarMinimum 0.0;
    String ioos_category "Wind";
    String long_name "Wind Speed";
    String standard_name "wind_speed";
    String units "m s-1";
  }
  wind_direction {
    Float32 _FillValue NaN;
    Float64 colorBarMaximum 360.0;
    Float64 colorBarMinimum 0.0;
    String ioos_category "Wind";
    String long_name "Wind From Direction";
    String standard_name "wind_from_direction";
    String units "degrees from north";
  }
  NC_GLOBAL {
    String cdm_data_type "Grid";
    String comment "Implementes by Edward L. Cruz, edward.cruz1@upr.edu";
    String Conventions "CF-1.6, _Coordinates, ACDD-1.3, COARDS";
    String creation_date "2024-09-12";
    String creator_email "caricoos@gmail.com";
    String creator_name "CARICOOS";
    String creator_type "institution";
    String creator_url "https://www.caricoos.org/";
    Float64 Easternmost_Easting -61.98624;
    Float64 geospatial_lat_max 21.0523;
    Float64 geospatial_lat_min 15.67208;
    String geospatial_lat_units "degrees_north";
    Float64 geospatial_lon_max -61.98624;
    Float64 geospatial_lon_min -69.70196;
    String geospatial_lon_units "degrees_east";
    String history 
"WRF-NMM 62KM Best Aggregate u , v ,SST,RH02, wind speed and  wind direction
2024-09-19T11:49:20Z (local files)
2024-09-19T11:49:20Z http://dm3.caricoos.org:8003/griddap/d01_dd52_9841_3fc0.das";
    String inforURL "http://52.55.122.42/thredds/catalog/content/wrf_archive/wrf_nmm_62km/catalog.html";
    String infoUrl "https://www.caricoos.org/";
    String institution "CARICOOS";
    String keywords "6&2, caricoos, centers, consists, data, earth, Earth Science > Oceans > Ocean Temperature > Sea Surface Temperature, east, environmental, forecast, forecasting, high, horizontal, is+, model, national, ncep, north, ocean, oceans, prediction, research, resolution, rh02, science, sea, sea_surface_temperature, south, south_north, sst, surface, temperature, time, u10, v10, weather, west, west_east, wrf";
    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 21.0523;
    String source "WRF-NMM";
    String sourceURL "http://52.55.122.42/thredds/catalog/content/wrf_archive/wrf_nmm_62km/catalog.html";
    String sourceUrl "(local files)";
    Float64 Southernmost_Northing 15.67208;
    String standard_name_vocabulary "CF Standard Name Table v70";
    String summary "The CARICOOS Weather Research Forecast (Weather Research and Forecasting Model (WRF)) model consists of a high horizontal resolution of 6&2 km is based on the WRF Nonhydrostatic Mesoscale Model (NMM) core. WRF-NMM was developed by the National Oceanic and Atmospheric Administration (NOAA) National Centers for Environmental Prediction (NCEP). The model is run daily for cycle 00Z to produce a forecast length of 96 hours, but this only include the fisrt 24 hours which are consider as the Hindcast. Boundary and initials conditions are provided by the Global Forecast System (GFS) and Sea Surface Temperature (SST) from NASA Short-term Prediction Research and Transition Center (SPoRT).";
    String testOutOfDate "now-2days";
    String time_coverage_end "2024-09-24T00:00:00Z";
    String time_coverage_start "2024-01-01T00:00:00Z";
    String title "CARICOOS WRF-NMM 6km, Best Aggregated";
    Float64 Westernmost_Easting -69.70196;
  }
}

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.