Data Access Form

Dataset Title:	HFradar USF COMPS
Institution:	USF (Dataset ID: HFradar_USF_COMPS)
Information:	Summary \| License \| FGDC \| ISO 19115 \| Metadata \| Background \| Files \| Make a graph

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Dimensions	Size	Spacing
time (UTC)	65771	1h 0m 3s (uneven)

latitude (degrees_north)	93	0.05394 (even)

longitude (degrees_east)	86	0.05807518 (even)

Grid Variables (which always also download all of the dimension variables)

u (Surface Eastward Sea Water Velocity, m s-1)

v (Surface Northward Sea Water Velocity, m s-1)

File type: (more information)

(Documentation / Bypass this form)

(Please be patient. It may take a while to get the data.)

The Dataset Attribute Structure (.das) for this Dataset

Attributes {
  time {
    String _CoordinateAxisType "Time";
    Float64 actual_range 1.325376e+9, 1.5623568e+9;
    String axis "T";
    String calendar "julian";
    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";
    Float32 actual_range 24.00144, 28.96392;
    String axis "Y";
    String ioos_category "Location";
    String long_name "Latitude";
    String standard_name "latitude";
    String units "degrees_north";
  }
  longitude {
    String _CoordinateAxisType "Lon";
    Float32 actual_range -85.97843, -81.04204;
    String axis "X";
    String ioos_category "Location";
    String long_name "Longitude";
    String standard_name "longitude";
    String units "degrees_east";
  }
  u {
    Float64 colorBarMaximum 0.5;
    Float64 colorBarMinimum -0.5;
    String ioos_category "Currents";
    String long_name "Surface Eastward Sea Water Velocity";
    String standard_name "surface_eastward_sea_water_velocity";
    String units "m s-1";
  }
  v {
    Float64 colorBarMaximum 0.5;
    Float64 colorBarMinimum -0.5;
    String ioos_category "Currents";
    String long_name "Surface Northward Sea Water Velocity";
    String standard_name "surface_northward_sea_water_velocity";
    String units "m s-1";
  }
  NC_GLOBAL {
    String cdm_data_type "Grid";
    String Conventions "CF-1.6, ACDD-1.3, COARDS";
    String creator_name "USF";
    String creator_type "institution";
    String date_created "2017-08-19T01:23:34Z";
    Float64 Easternmost_Easting -81.04204;
    String geospatial_bounds "SQUARE";
    Float64 geospatial_lat_max 28.96392;
    Float64 geospatial_lat_min 24.00144;
    Float64 geospatial_lat_resolution 0.05394000000000003;
    String geospatial_lat_units "degrees_north";
    Float64 geospatial_lon_max -81.04204;
    Float64 geospatial_lon_min -85.97843;
    Float64 geospatial_lon_resolution 0.05807517647058827;
    String geospatial_lon_units "degrees_east";
    String history 
"2024-11-23T10:18:07Z (local files)
2024-11-23T10:18:07Z https://gcoos5.geos.tamu.edu/erddap/griddap/HFradar_USF_COMPS.das";
    String infoUrl "???";
    String institution "USF";
    String instrument "HF Radar";
    String keywords "circulation, coastal, comps, currents, data, Earth Science > Oceans > Ocean Circulation > Ocean Currents, eastward, florida, frequency, gcoos, gom, gulf, gulf of mexico, HF, hf radar, hfradar, high, mexico, northward, observing, ocean, oceans, radar, sea, seawater, south, surface, surface_eastward_sea_water_velocity, surface_northward_sea_water_velocity, system, time, u, university, usf, v, velocity, water";
    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 naming_authority "gcoos.tamu.edu";
    String ncei_template_version "NCEI_NetCDF_Grid_Template_v2.0";
    Float64 Northernmost_Northing 28.96392;
    String platform "station";
    String program "GCOOS";
    String publisher_email "chsu1@neo.tamu.edu";
    String publisher_institution "Department of Oceanography, Texas A&M Univ.";
    String publisher_name "Chuan-Yuan Hsu";
    String publisher_type "institution";
    String publisher_url "http://gcoos.tamu.edu/?p=6401";
    String sea_name "Gulf of Mexico";
    String sourceUrl "(local files)";
    Float64 Southernmost_Northing 24.00144;
    String standard_name_vocabulary "CF Standard Name Table v46";
    String summary "High Frequency (HF) radar in Gulf of Mexico. University of South Florida (USF) data from a local source.";
    String time_coverage_end "2019-07-05T20:00:00Z";
    String time_coverage_resolution "1 hour";
    String time_coverage_start "2012-01-01T00:00:00Z";
    String title "HFradar USF COMPS";
    Float64 Westernmost_Easting -85.97843;
  }
}

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.