Make A Graph

Dataset Title:	COAMPS Monthly-averaged Mesoscale-Predicted Winds, 4km
Institution:	WCGA/SCCOOS/CeNCOOS/NANOOS (Dataset ID: COAMPS_MONTHLY_WINDS)
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";
    Float64 actual_range 1209600.0, 3.00672e+7;
    String axis "T";
    String ioos_category "Time";
    String long_name "Time";
    String standard_name "time";
    String time_origin "01-JAN-1970 00:00:00";
    String units "seconds since 1970-01-01T00:00:00Z";
  }
  latitude {
    String _CoordinateAxisType "Lat";
    Float64 actual_range 31.816300000000002, 41.5963;
    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 -128.7143, -116.29430000000002;
    String axis "X";
    String ioos_category "Location";
    String long_name "Longitude";
    String standard_name "longitude";
    String units "degrees_east";
  }
  v {
    Float32 _FillValue -1.0;
    Float64 colorBarMaximum 15.0;
    Float64 colorBarMinimum -15.0;
    String grid_mapping "crs";
    String ioos_category "Wind";
    String long_name "Meridional Wind";
    String standard_name "northward_wind";
    String units "m.s-1";
  }
  u {
    Float32 _FillValue -1.0;
    Float64 colorBarMaximum 15.0;
    Float64 colorBarMinimum -15.0;
    String grid_mapping "crs";
    String ioos_category "Wind";
    String long_name "Zonal Wind";
    String standard_name "eastward_wind";
    String units "m.s-1";
  }
  NC_GLOBAL {
    String _CoordSysBuilder "ucar.nc2.internal.dataset.conv.CF1Convention";
    String acknowledgment "COAMPS is the latest product in a series of mesoscale model developments at the Naval Research Laboratory (NRL) Marine Meteorology Division (MMD). The original data system was created in 1997, and data was made available to the general public in early 2001.";
    String cdm_data_type "Grid";
    String comment "COAMPS data are provided by the Naval Research Laboratory Marine Meteorology Division. The server is a United States Government / Department of Defense / Navy computer system. This is a U. S. Government Website. These products are a research project meant to provide a general overview of monthly-averaged winds along California. Please contact the providers of these products to ensure accuracy before making any critical judgements. Please provide proper source citation when using these products.";
    String contributor_name "Naval Research Laboratory";
    String contributor_role "principalInvestigator";
    String Conventions "CF-1.6, COARDS, Unidata Dataset Discovery v1.0";
    String creator_email "lalilly@ucsd.edu";
    String creator_name "Laura Lilly";
    String date_issued "2014-09-15";
    Float64 Easternmost_Easting -116.29430000000002;
    String GDAL "GDAL 1.9.0, released 2011/12/29";
    String GDAL_AREA_OR_POINT "Area";
    Float64 geospatial_lat_max 41.5963;
    Float64 geospatial_lat_min 31.816300000000002;
    Float64 geospatial_lat_resolution 0.03259999999999999;
    String geospatial_lat_units "degrees_north";
    Float64 geospatial_lon_max -116.29430000000002;
    Float64 geospatial_lon_min -128.7143;
    Float64 geospatial_lon_resolution 0.04139999999999996;
    String geospatial_lon_units "degrees_east";
    String history 
"For information on dataset lineage consult the project website or contact NRL
2023-03-25T23:52:59Z (local files)
2023-03-25T23:52:59Z http://erddap.axiomdatascience.com/griddap/COAMPS_MONTHLY_WINDS.das";
    String infoUrl "???";
    String institution "WCGA/SCCOOS/CeNCOOS/NANOOS";
    String keywords "4km, atmosphere, atmospheric, averaged, cencoos, coamps, Earth Science > Atmosphere > Atmospheric Winds > Surface Winds, Earth Science > Atmosphere > Atmospheric Winds > Wind Profiles, eastward, eastward_wind, meridional, mesoscale, mesoscale-predicted, monthly, monthly-averaged, nanoos, northward, northward_wind, predicted, profiles, sccoos, surface, wcga, wind, winds, zonal";
    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.";
    String Metadata_Conventions "CF-1.6, COARDS, Unidata Dataset Discovery v1.0";
    String NCO "4.0.9";
    Int32 nco_openmp_thread_number 1;
    Float64 Northernmost_Northing 41.5963;
    String publisher_email "jpatterson@mbari.org";
    String publisher_name "Central and Northern California Ocean Observing System (CeNCOOS)";
    String publisher_url "www.cencoos.org";
    String sourceUrl "(local files)";
    Float64 Southernmost_Northing 31.816300000000002;
    String standard_name_vocabulary "CF Standard Names Vocabulary V27";
    String summary "This dataset consists of monthly-averaged modeled wind data from September 2013-August 2014, from the Coupled Ocean/Atmosphere Mesoscale Prediction System (COAMPS™) model. Data are 4 km resolution, spanning California. COAMPS model data can be used for short-term numerical weather prediction for various regions around the world. This dataset represents short-term modeled predictions for winds data off California, as a means of providing general monthly winds trends.";
    String time_coverage_end "1970-12-15T00:00:00Z";
    String time_coverage_start "1970-01-15T00:00:00Z";
    String title "COAMPS Monthly-averaged Mesoscale-Predicted Winds, 4km";
    Float64 Westernmost_Easting -128.7143;
  }
}

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.