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Dataset Title:  Currents, HF Radar, US East Coast and Gulf of Mexico, GNOME, Near-Real Time,
2012-present, Hourly, 2km
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Institution:  Scripps Institution of Oceanography   (Dataset ID: ucsdHfrE2)
Information:  Summary ? | License ? | FGDC | ISO 19115 | Metadata | Background (external link) | Make a graph
 
Dimensions ? Start ? Stride ? Stop ?  Size ?    Spacing ?
 time (UTC) ?      51477    1h 1m 53s (uneven)
  < slider >
 latitude (degrees_north) ?      1380    0.01798 (even)
  < slider >
 longitude (degrees_east) ?      2103    0.0193584 (even)
  < slider >
 
Grid Variables (which always also download all of the dimension variables)
 water_u (Surface Eastward Sea Water Velocity, m s-1) ?
 water_v (Surface Northward Sea Water Velocity, m s-1) ?
 DOPx (Longitudinal Dilution of Precision) ?
 DOPy (Latitudinal Dilution of Precision) ?

File type: (more info)

(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, 1.5165072e+9;
    String axis "T";
    String calendar "proleptic_gregorian";
    String ioos_category "Time";
    String long_name "Forecast time for ForecastModelRunCollection";
    Float64 missing_value NaN;
    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 21.7, 46.49442;
    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";
    Float32 actual_range -97.88385, -57.19249;
    String axis "X";
    String ioos_category "Location";
    String long_name "Longitude";
    String point_spacing "even";
    String standard_name "longitude";
    String units "degrees_east";
  }
  water_u {
    String ancillary_variables "DOPx";
    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";
  }
  water_v {
    String ancillary_variables "DOPy";
    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";
  }
  DOPx {
    Float64 colorBarMaximum 1.0;
    Float64 colorBarMinimum 0.0;
    String colorBarPalette "WhiteRedBlack";
    String comment 
"The longitudinal dilution of precision (DOPx) represents the
contribution of the radars' configuration geometry to
uncertainty in the eastward velocity estimate (u). DOPx is a
direct multiplier of the standard error in obtaining the
standard deviation for the eastward velocity estimate from the
least squares best fit. DOPx and DOPy are commonly used to
obtain the geometric dilution of precision
(GDOP = sqrt(DOPx^2 + DOPy^2)), a useful metric for filtering
errant velocities due to poor geometry.";
    String ioos_category "Currents";
    String long_name "Longitudinal Dilution of Precision";
  }
  DOPy {
    Float64 colorBarMaximum 1.0;
    Float64 colorBarMinimum 0.0;
    String colorBarPalette "WhiteRedBlack";
    String comment 
"The latitudinal dilution of precision (DOPy) represents the
contribution of the radars' configuration geometry to
uncertainty in the northward velocity estimate (v). DOPy is a
direct multiplier of the standard error in obtaining the
standard deviation for the northward velocity estimate from the
least squares best fit. DOPx and DOPy are commonly used to
obtain the geometric dilution of precision
(GDOP = sqrt(DOPx^2 + DOPy^2)), a useful metric for filtering
errant velocities due to poor geometry.";
    String ioos_category "Currents";
    String long_name "Latitudinal Dilution of Precision";
  }
  NC_GLOBAL {
    String _CoordSysBuilder "ucar.nc2.dataset.conv.CF1Convention";
    String cdm_data_type "Grid";
    String Conventions "COARDS, CF-1.6, ACDD-1.3";
    String creator_email "motero@ucsd.edu";
    String creator_name "Mark Otero";
    String creator_url "http://cordc.ucsd.edu/projects/mapping/";
    String defaultGraphQuery "&.draw=vectors&.color=0x0000FF";
    Float64 Easternmost_Easting -57.19249;
    String format_version "HFRNet_1.0.0";
    Float64 geospatial_lat_max 46.49442;
    Float64 geospatial_lat_min 21.7;
    Float64 geospatial_lat_resolution 0.01798;
    String geospatial_lat_units "degrees_north";
    Float64 geospatial_lon_max -57.19249;
    Float64 geospatial_lon_min -97.88385;
    Float64 geospatial_lon_resolution 0.019358401522359656;
    String geospatial_lon_units "degrees_east";
    String grid_projection "equidistant cylindrical";
    String grid_resolution "2km";
    String grid_type "REGULAR";
    String history 
"16-Jan-2018 17:40:14: NetCDF file created
16-Jan-2018 17:40:14: Filtered U and V by GDOP < 1.25 ;
FMRC Best Dataset
2018-01-21T07:01:36Z http://hfrnet-tds.ucsd.edu/thredds/dodsC/HFR/USEGC/2km/hourly/GNOME/HFRADAR,_US_East_and_Gulf_Coast,_2km_Resolution,_Hourly_RTV_(GNOME)_best.ncd
2018-01-21T07:01:36Z http://coastwatch.pfeg.noaa.gov/erddap/griddap/ucsdHfrE2.das";
    String infoUrl "http://cordc.ucsd.edu/projects/mapping/";
    String institution "Scripps Institution of Oceanography";
    String keywords "2km, circulation, coast, currents, dilution, Earth Science > Oceans > Ocean Circulation > Ocean Currents, east, east coast, eastward, gnome, gulf, gulf of mexico, hf radar, hourly, latitudinal, longitudinal, mexico, near, near real time, northward, ocean, oceans, radar, real, scripps, sea, seawater, surface, surface_eastward_sea_water_velocity, surface_northward_sea_water_velocity, time, 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 location "Proto fmrc:HFRADAR,_US_East_and_Gulf_Coast,_2km_Resolution,_Hourly_RTV_(GNOME)";
    Float64 Northernmost_Northing 46.49442;
    String product_version "HFRNet_1.1.05";
    String references 
"Terrill, E. et al., 2006. Data Management and Real-time
Distribution in the HF-Radar National Network. Proceedings
of the MTS/IEEE Oceans 2006 Conference, Boston MA,
September 2006.";
    String regional_description "Unites States, East and Gulf Coast";
    String source "Surface Ocean HF-Radar";
    String sourceUrl "http://hfrnet-tds.ucsd.edu/thredds/dodsC/HFR/USEGC/2km/hourly/GNOME/HFRADAR,_US_East_and_Gulf_Coast,_2km_Resolution,_Hourly_RTV_(GNOME)_best.ncd";
    Float64 Southernmost_Northing 21.7;
    String standard_name_vocabulary "CF Standard Name Table v29";
    String summary 
"Surface ocean velocities estimated from HF-Radar are
representative of the upper 0.3 - 2.5 meters of the
ocean.  The main objective of near-real time
processing is to produce the best product from
available data at the time of processing.  Radial
velocity measurements are obtained from individual
radar sites through the U.S. HF-Radar Network.
Hourly radial data are processed by unweighted
least-squares on a 2 km resolution grid of the U.S.
East and Gulf Coast to produce near real-time surface
current maps.";
    String testOutOfDate "now-1day";
    String time_coverage_end "2018-01-21T04:00:00Z";
    String time_coverage_start "2012-01-01T00:00:00Z";
    String title "Currents, HF Radar, US East Coast and Gulf of Mexico, GNOME, Near-Real Time, 2012-present, Hourly, 2km";
    Float64 Westernmost_Easting -97.88385;
  }
}

 

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://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.


 
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