Make A Graph

Dataset Title:	HF RADAR TOTAL - US-PuertoRicoVirginIslands
Institution:	CORDC - Coastal Observing Research and Development Center; Universidad de Puerto Rico (UPR) (Dataset ID: HFRADAR_US_PUERTORICOVIRGINISLAND_Totals)
Information:	Summary \| License \| FGDC \| ISO 19115 \| Metadata \| Background \| Data Access Form \| Files

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Graph Type:
X Axis:
Y Axis:
Color:

Dimensions

Start

Stop

time (UTC)

specify just 1 value →

depth (m)

specify just 1 value →

latitude (degrees_north)

longitude (degrees_east)

Graph Settings
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Draw land mask:
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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 1.5489792e+9, 1.731924e+9;
    String axis "T";
    String calendar "standard";
    String ioos_category "Time";
    String long_name "Time";
    String sdn_P02_urn "SDN:P02::AYMD";
    String sdn_parameter_name "Elapsed time (since 1950-01-01T00:00:00Z)";
    String sdn_parameter_urn "SDN:P01::ELTJLD01";
    String sdn_uom_name "Days";
    String sdn_uom_urn "SDN:P06::UTAA";
    String standard_name "time";
    String time_origin "01-JAN-1970 00:00:00";
    String units "seconds since 1970-01-01T00:00:00Z";
  }
  depth {
    String _CoordinateAxisType "Height";
    String _CoordinateZisPositive "down";
    Int16 actual_range 0, 0;
    String axis "Z";
    String ioos_category "Location";
    String long_name "Depth";
    String positive "down";
    String standard_name "depth";
    String units "m";
  }
  latitude {
    String _CoordinateAxisType "Lat";
    Float32 actual_range 14.50847, 21.98919;
    String ancillary_variables "POSITION_QC";
    String axis "Y";
    String ioos_category "Location";
    String long_name "Latitude";
    String sdn_P02_urn "SDN:P02::ALAT";
    String sdn_parameter_name "Latitude north";
    String sdn_parameter_urn "SDN:P01::ALATZZ01";
    String sdn_uom_name "Degrees north";
    String sdn_uom_urn "SDN:P06::DEGN";
    String standard_name "latitude";
    String units "degrees_north";
    Float32 valid_max 90.0;
    Float32 valid_min -90.0;
  }
  longitude {
    String _CoordinateAxisType "Lon";
    Float32 actual_range -70.49944, -61.02476;
    String ancillary_variables "POSITION_QC";
    String axis "X";
    String ioos_category "Location";
    String long_name "Longitude";
    String sdn_P02_urn "SDN:P02::ALAT";
    String sdn_parameter_name "Longitude east";
    String sdn_parameter_urn "SDN:P01::ALONZZ01";
    String sdn_uom_name "Degrees east";
    String sdn_uom_urn "SDN:P06::DEGE";
    String standard_name "longitude";
    String units "degrees_east";
    Float32 valid_max 180.0;
    Float32 valid_min -180.0;
  }
  EWCT {
    Float64 _FillValue -32.767;
    String ancillary_variables "QCflag VART_QC CSPD_QC DDNS_QC GDOP_QC";
    String data_mode "R";
    String long_name "West-east current component";
    String sdn_P02_urn "SDN:P02::RFVL";
    String sdn_parameter_name "Eastward current velocity in the water body";
    String sdn_parameter_urn "SDN:P01::LCEWZZ01";
    String sdn_uom_name "Metres per second";
    String sdn_uom_urn "SDN:P06::UVAA";
    String standard_name "eastward_sea_water_velocity";
    String units "m s-1";
    Float64 valid_max 10.0;
    Float64 valid_min -10.0;
  }
  NSCT {
    Float64 _FillValue -32.767;
    String ancillary_variables "QCflag VART_QC CSPD_QC DDNS_QC GDOP_QC";
    String data_mode "R";
    String long_name "South-north current component";
    String sdn_P02_urn "SDN:P02::RFVL";
    String sdn_parameter_name "Northward current velocity in the water body";
    String sdn_parameter_urn "SDN:P01::LCNSZZ01";
    String sdn_uom_name "Metres per second";
    String sdn_uom_urn "SDN:P06::UVAA";
    String standard_name "northward_sea_water_velocity";
    String units "m s-1";
    Float64 valid_max 10.0;
    Float64 valid_min -10.0;
  }
  EWCS {
    Float64 _FillValue -32.767;
    String ancillary_variables "QCflag VART_QC";
    String data_mode "R";
    String long_name "Standard deviation of surface eastward sea water velocity";
    String sdn_P02_urn "SDN:P02::RFVL";
    String sdn_parameter_name "Eastward current velocity standard deviation in the water body";
    String sdn_parameter_urn "SDN:P01::SDEWZZZZ";
    String sdn_uom_name "Metres per second";
    String sdn_uom_urn "SDN:P06::UVAA";
    String units "m s-1";
    Float64 valid_max 10.0;
    Float64 valid_min -10.0;
  }
  NSCS {
    Float64 _FillValue -32.767;
    String ancillary_variables "QCflag VART_QC";
    String data_mode "R";
    String long_name "Standard deviation of surface northward sea water velocity";
    String sdn_P02_urn "SDN:P02::RFVL";
    String sdn_parameter_name "Northward current velocity standard deviation in the water body";
    String sdn_parameter_urn "SDN:P01::SDNSZZZZ";
    String sdn_uom_name "Metres per second";
    String sdn_uom_urn "SDN:P06::UVAA";
    String units "m s-1";
    Float64 valid_max 10.0;
    Float64 valid_min -10.0;
  }
  CCOV {
    Float64 _FillValue -2147.483647;
    String ancillary_variables "QCflag";
    String data_mode "R";
    String long_name "Covariance of surface sea water velocity";
    String sdn_uom_name "Square metres per second squared";
    String sdn_uom_urn "SDN:P06::SQM2";
    String units "m2 s-2";
    Float64 valid_max 10.0;
    Float64 valid_min -10.0;
  }
  GDOP {
    Float64 _FillValue -32.767;
    String ancillary_variables "QCflag GDOP_QC";
    String comment "The Geometric Dilution of Precision (GDOP) is the coefficient of the uncertainty, which relates the uncertainties in radial and velocity vectors. The GDOP is a unit-less coefficient, which characterizes the effect that radar station geometry has on the measurement and position determination errors. A low GDOP corresponds to an optimal geometric configuration of radar stations, and results in accurate surface current data. Essentially, GDOP is a quantitative way to relate the radial and velocity vector uncertainties. Setting a threshold on GDOP for total combination avoids the combination of radials with an intersection angle below a certain value. GDOP is a useful metric for filtering errant velocities due to poor geometry.";
    String data_mode "R";
    String long_name "Geometrical dilution of precision";
    String sdn_parameter_name "Dilution of precision ";
    String sdn_parameter_urn "SDN:S06::S0600236";
    String sdn_uom_name "Dimensionless";
    String sdn_uom_urn "SDN:P06::UUUU";
    String units "1";
    Float64 valid_max 20.0;
    Float64 valid_min -20.0;
  }
  POSITION_QC {
    Byte _FillValue -127;
    String _Unsigned "false";
    String comment "OceanSITES quality flagging for position coordinates";
    String flag_meanings "no_qc_performed good_data probably_good_data bad_data_that_are_potentially_correctable bad_data value_changed value_below_detection nominal_value interpolated_value missing_value";
    Byte flag_values 0, 1, 2, 3, 4, 5, 6, 7, 8, 9;
    String long_name "Position quality flag";
    String units "1";
    Byte valid_max 9;
    Byte valid_min 0;
  }
  QCflag {
    Byte _FillValue -127;
    String _Unsigned "false";
    String comment "OceanSITES quality flagging for all QC tests  Overall QC Flag - Test applies to each vector. Test checks if all QC tests are passed.";
    String flag_meanings "no_qc_performed good_data probably_good_data bad_data_that_are_potentially_correctable bad_data value_changed value_below_detection nominal_value interpolated_value missing_value";
    Byte flag_values 0, 1, 2, 3, 4, 5, 6, 7, 8, 9;
    String long_name "Overall quality flag";
    String units "1";
    Byte valid_max 9;
    Byte valid_min 0;
  }
  VART_QC {
    Byte _FillValue -127;
    String _Unsigned "false";
    String comment "OceanSITES quality flagging for variance threshold QC test. Test not applicable to Direction Finding systems. The Temporal Derivative test is applied.Threshold set to 1 m/s.";
    String flag_meanings "no_qc_performed good_data probably_good_data bad_data_that_are_potentially_correctable bad_data value_changed value_below_detection nominal_value interpolated_value missing_value";
    Byte flag_values 0, 1, 2, 3, 4, 5, 6, 7, 8, 9;
    String long_name "Variance threshold quality flag";
    String units "1";
    Byte valid_max 9;
    Byte valid_min 0;
  }
  GDOP_QC {
    Byte _FillValue -127;
    String _Unsigned "false";
    String comment "OceanSITES quality flagging for GDOP threshold QC test.  GDOP Threshold QC Test - Test applies to each vector. Threshold=[GDOP threshold=2.0]";
    String flag_meanings "no_qc_performed good_data probably_good_data bad_data_that_are_potentially_correctable bad_data value_changed value_below_detection nominal_value interpolated_value missing_value";
    Byte flag_values 0, 1, 2, 3, 4, 5, 6, 7, 8, 9;
    String long_name "GDOP threshold quality flag";
    String units "1";
    Byte valid_max 9;
    Byte valid_min 0;
  }
  DDNS_QC {
    Byte _FillValue -127;
    String _Unsigned "false";
    String comment "OceanSITES quality flagging for Data density threshold QC test.  Data Density Threshold QC Test - Test applies to each vector. Threshold=[minimum number of contributing radial velocities=3]";
    String flag_meanings "no_qc_performed good_data probably_good_data bad_data_that_are_potentially_correctable bad_data value_changed value_below_detection nominal_value interpolated_value missing_value";
    Byte flag_values 0, 1, 2, 3, 4, 5, 6, 7, 8, 9;
    String long_name "Data density threshold quality flag";
    String units "1";
    Byte valid_max 9;
    Byte valid_min 0;
  }
  CSPD_QC {
    Byte _FillValue -127;
    String _Unsigned "false";
    String comment "OceanSITES quality flagging for Velocity threshold QC test.  Velocity Threshold QC Test - Test applies to each vector. Threshold=[maximum velocity=5.0 (m/s)]";
    String flag_meanings "no_qc_performed good_data probably_good_data bad_data_that_are_potentially_correctable bad_data value_changed value_below_detection nominal_value interpolated_value missing_value";
    Byte flag_values 0, 1, 2, 3, 4, 5, 6, 7, 8, 9;
    String long_name "Velocity threshold quality flag";
    String units "1";
    Byte valid_max 9;
    Byte valid_min 0;
  }
  NC_GLOBAL {
    String _NCProperties "version=2,netcdf=4.9.3-development,hdf5=1.12.2";
    String area "Puerto Rico and Virgin Islands";
    String calibration_link "CDDO: hfrnet.administrators@sio.ucsd.edu; FARO: hfrnet.administrators@sio.ucsd.edu; FURA: hfrnet.administrators@sio.ucsd.edu; MABO: hfrnet.administrators@sio.ucsd.edu; PYFC: hfrnet.administrators@sio.ucsd.edu";
    String calibration_type "CDDO: APM; FARO: APM; FURA: APM; MABO: APM; PYFC: APM";
    String cdm_data_type "Grid";
    String citation "These data were collated within the Copernicus Marine Service (In Situ) and EMODnet collaboration framework. Data is made freely available by the Copernicus Marine Service and the programs that contribute to it. Data collected and processed by CORDC.";
    String comment "Total velocities are derived using least square fit that maps radial velocities measured from individual sites onto a cartesian grid. The final product is a map of the horizontal components of the ocean currents on a regular grid in the area of overlap of two or more radar stations.";
    String Conventions "CF-1.11 Copernicus-InSituTAC-FormatManual-2.0.0 Copernicus-InSituTAC-ParametersList-3.3.0 Copernicus-InSituTAC-AttributesList-1.0.0";
    String creator_email "lorenzo.corgnati@sp.ismar.cnr.it";
    String creator_name "Lorenzo Corgnati";
    String creator_type "person";
    String creator_url "https://www.hfrnode.eu/";
    String data_mode "R";
    String date_created "2024-11-18T12:35:42Z";
    String date_modified "2024-11-18T12:35:42Z";
    String doa_estimation_method "CDDO: Direction Finding; FARO: Direction Finding; FURA: Direction Finding; MABO: Direction Finding; PYFC: Direction Finding";
    Float64 Easternmost_Easting -61.02476;
    String format_version "2.0";
    Float64 geospatial_lat_max 21.98919;
    Float64 geospatial_lat_min 14.50847;
    String geospatial_lat_units "degrees_north";
    Float64 geospatial_lon_max -61.02476;
    Float64 geospatial_lon_min -70.49944;
    Float64 geospatial_lon_resolution 0.056734610778443155;
    String geospatial_lon_units "degrees_east";
    String history 
"Data measured from 2024-11-17T23:30:00Z to 2024-11-18T10:30:00Z. netCDF file created at 2024-11-18T12:35:42Z by the European HFR Node.
2024-11-21T08:53:56Z (local files)
2024-11-21T08:53:56Z http://erddap.emodnet-physics.eu/griddap/HFRADAR_US_PUERTORICOVIRGINISLAND_Totals.das";
    String id "GL_TV_HF_HFR-US-PuertoRicoVirginIslands-Total_20241118";
    String infoUrl "https://www.hfrnode.eu/";
    String institution "CORDC - Coastal Observing Research and Development Center; Universidad de Puerto Rico (UPR)";
    String institution_edmo_code "3790";
    String institution_references "https://cordc.ucsd.edu/ https://www.upr.edu/";
    String keywords "OCEAN CURRENTS, RADAR, SCR-HF, SURFACE WATER";
    String keywords_vocabulary "GCMD Science Keywords";
    String last_calibration_date "CDDO: N/A; FARO: N/A; FURA: N/A; MABO: N/A; PYFC: N/A";
    String license "https://marine.copernicus.eu/user-corner/service-commitments-and-licence";
    String manufacturer "CDDO: Codar, FARO: Codar, FURA: Codar, MABO: Codar, PYFC: Codar";
    String naming_authority "Copernicus Marine In Situ";
    String netcdf_version "netCDF-4 classic model";
    String network "HFR_US_PuertoRicoVirginIslands";
    Float64 Northernmost_Northing 21.98919;
    String platform_code "HFR-US-PuertoRicoVirginIslands-Total";
    String platform_name "HFR-US-PuertoRicoVirginIslands-Total";
    String processing_level "3B";
    String project "Integrated Ocean Observing System (IOOS)";
    String publisher_email "cmems-service@ifremer.fr";
    String publisher_institution "European HFR Node";
    String publisher_name "Copernicus Marine Service";
    String publisher_url "https://marine.copernicus.eu/ http://www.marineinsitu.eu/";
    String references "http://marine.copernicus.eu http://www.marineinsitu.eu http://www.marineinsitu.eu/wp-content/uploads/2018/02/HFR_Data_Model_Reference_Card_v1.pdf";
    String sensor_model "CDDO: Codar, FARO: Codar, FURA: Codar, MABO: Codar, PYFC: Codar";
    String site_code "HFR-US-PuertoRicoVirginIslands";
    String source "coastal structure";
    String source_platform_category_code "17";
    String sourceUrl "(local files)";
    Float64 Southernmost_Northing 14.50847;
    String spatial_resolution "6.0";
    String summary "HF RADAR TOTAL - US-PuertoRicoVirginIslands";
    String time_coverage_duration "P0DT11H0M0S";
    String time_coverage_end "2024-11-18T10:00:00Z";
    String time_coverage_resolution "PT1H";
    String time_coverage_start "2019-02-01T00:00:00Z";
    String title "HF RADAR TOTAL - US-PuertoRicoVirginIslands";
    String update_interval "void";
    Float64 Westernmost_Easting -70.49944;
  }
}

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.