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Dataset Title:  Ocean Surface Currents Monthly Averaged - CORDC High-Frequency Radar (US West
Coast), 6 km
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Institution:  Southern California Coastal Observing System   (Dataset ID: CORDC_MONTHLY)
Information:  Summary ? | License ? | FGDC | ISO 19115 | Metadata | Background (external link) | Make a graph
 
Dimensions ? Start ? Stride ? Stop ?  Size ?    Spacing ?
 time (UTC) ?      12    30 days 8h 43m 38s (uneven)
  < slider >
 latitude (degrees_north) ?      367    -0.0534 (even)
  < slider >
 longitude (degrees_east) ?      234    0.0622 (even)
  < slider >
 
Grid Variables (which always also download all of the dimension variables)
 v (Meridional Current, m.s-1) ?
 u (Zonal Current, m.s-1) ?

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 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 30.276699999999998, 49.8211;
    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 -130.3289, -115.83630000000001;
    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 0.5;
    Float64 colorBarMinimum -0.5;
    String grid_mapping "crs";
    String ioos_category "Currents";
    String long_name "Meridional Current";
    String standard_name "northward_sea_water_velocity";
    String units "m.s-1";
  }
  u {
    Float32 _FillValue -1.0;
    Float64 colorBarMaximum 0.5;
    Float64 colorBarMinimum -0.5;
    String grid_mapping "crs";
    String ioos_category "Currents";
    String long_name "Zonal Current";
    String standard_name "eastward_sea_water_velocity";
    String units "m.s-1";
  }
  NC_GLOBAL {
    String _CoordSysBuilder "ucar.nc2.dataset.conv.CF1Convention";
    String acknowledgment "The West Coast Ocean Observing System (OOS) Regional Associations collect and disseminate real-time information on oceanographic parameters, including ocean surface currents velocity based on a system of high-frequency-radar (HFR) nodes. Regional partners aid in node maintenance and data collection, but all data is processed through the Coastal Observing Research and Development Center (CORDC) at Scripps Institution of Oceanography.";
    String cdm_data_type "Grid";
    String comment "Surveys of west coast marine managers, researchers and general users, from both the marine debris and OA communities, have expressed interest in a) general information on coastal oceanographic information across seasons, and b) specific information on how surface currents move along the West Coast at any given time, to track various components of the water (e.g. floating debris). CORDC HFR data provides near-real-time information on actual surface currents data off the West Coast. Compared to satellite-based data collection (e.g. SST, SSH), the CORDC HFR system provides the advantage of being able to collect data even on cloudy days. The CORDC HFR system provides a robust, long-term dataset that can be used for: 1) Studying surface water movements off the West Coast, 2) Identifying persistent eddies and frontal features at various locations, 3) Applications to fisheries tracking/management, and 4) Applications to point-source movements (e.g. debris, contaminants).   This is a research project and may contain errors. Please contact with the providers of these products to ensure accuracy before making any critical judgements. Please provide proper source citation when using these products.";
    String Conventions "CF-1.6, COARDS, Unidata Dataset Discovery v1.0";
    String creator_email "darren@cdip.ucsd.edu";
    String creator_name "Darren Wright";
    String creator_url "www.sccoos.org";
    String date_issued "2014-09-15";
    Float64 Easternmost_Easting -115.83630000000001;
    String GDAL "GDAL 1.9.0, released 2011/12/29";
    String GDAL_AREA_OR_POINT "Area";
    Float64 geospatial_lat_max 49.8211;
    Float64 geospatial_lat_min 30.276699999999998;
    Float64 geospatial_lat_resolution 0.05340000000000001;
    String geospatial_lat_units "degrees_north";
    Float64 geospatial_lon_max -115.83630000000001;
    Float64 geospatial_lon_min -130.3289;
    Float64 geospatial_lon_resolution 0.062199999999999984;
    String geospatial_lon_units "degrees_east";
    String history 
"Fri Oct 31 11:42:55 2014: ncap2 -s time(:)={14,45,73,104,134,165,195,226,257,287,318,348} all.nc fixed.nc
Thu Oct 16 15:00:40 2014: GDAL CreateCopy( ./cordc_WC_U_Jan.tif.nc, ... )
2018-07-22T02:48:50Z (local files)
2018-07-22T02:48:50Z http://erddap.axiomdatascience.com/erddap/griddap/CORDC_MONTHLY.das";
    String infoUrl "www.sccoos.org";
    String institution "Southern California Coastal Observing System";
    String keywords "averaged, california, circulation, coast, coastal, cordc, current, currents, Earth Science > Oceans > Ocean Circulation > Ocean Currents, eastward, eastward_sea_water_velocity, frequency, high, high-frequency, meridional, monthly, northward, northward_sea_water_velocity, observing, ocean, oceans, radar, sea, seawater, southern, surface, system, velocity, water, west, west coast, 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 49.8211;
    String publisher_email "darren@cdip.ucsd.edu";
    String publisher_url "www.sccoos.org";
    String sourceUrl "(local files)";
    Float64 Southernmost_Northing 30.276699999999998;
    String standard_name_vocabulary "CF-12";
    String standard_vocabulary_name "CF Standard Names Vocabulary V27";
    String summary "This dataset consists of monthly-averaged plots of near-real-time ocean surface currents using 6 km resolution data from the Coastal Observing Research and Development Center (CORDC) at the Scripps Institution of Oceanography. Each monthly average consists of data from 2011-2014 (3 year monthly composites).";
    String time_coverage_duration "P1M";
    String time_coverage_end "1970-12-15T00:00:00Z";
    String time_coverage_start "1970-01-15T00:00:00Z";
    String title "Ocean Surface Currents Monthly Averaged - CORDC High-Frequency Radar (US West Coast), 6 km";
    Float64 Westernmost_Easting -130.3289;
  }
}

 

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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