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Dataset Title:	HF radar daily averaged sea surface current filterd by dineof
Institution:	Mediterranean Institute of Oceanography (Dataset ID: DINEOF_59f6_b797_92a2)
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
Color Bar:	Continuity:	Scale:
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Draw land mask:
Y Axis Minimum:	Maximum:

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Then set the File Type: (File Type information)
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or view the URL:
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Click on the map to specify a new center point.

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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 1.325376e+9, 1.5777504e+9;
    String ancillary_variables "TIME_QC";
    String axis "T";
    String calendar "Julian";
    String cf_role "timeseries_id";
    String ioos_category "Time";
    String long_name "Time";
    String sdn_P02_urn "SDN:P02::AYMD";
    String sdn_parameter_name "Elapsed time (since 2010-01-01T00:00:00Z)";
    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";
    Float32 actual_range 0.0, 0.0;
    String ancillary_variables "DEPTH_QC";
    String axis "Z";
    String ioos_category "Location";
    String long_name "Depth";
    String positive "down";
    String references "sea_level";
    String sdn_P02_urn "SDN:P02::AHGT";
    String sdn_parameter_name "Depth below surface of the water body";
    String sdn_parameter_urn "SDN:P01::ADEPZZ01";
    String sdn_uom_name "Metres";
    String sdn_uom_urn "SDN:P06::ULAA";
    String standard_name "depth";
    String units "m";
  }
  latitude {
    String _CoordinateAxisType "Lat";
    Float64 actual_range 42.15, 43.04112842239587;
    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";
  }
  longitude {
    String _CoordinateAxisType "Lon";
    Float64 actual_range 5.5, 6.81452066614216;
    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";
  }
  EWCT {
    Float64 _FillValue -32767.0;
    String ancillary_variables "QCflag";
    Float64 colorBarMaximum 0.5;
    Float64 colorBarMinimum -0.5;
    String coordsys "geographic";
    String ioos_category "Currents";
    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 10000.0;
    Float64 valid_min -10000.0;
  }
  NSCT {
    Float64 _FillValue -32767.0;
    String ancillary_variables "QCflag";
    Float64 colorBarMaximum 0.5;
    Float64 colorBarMinimum -0.5;
    String coordsys "geographic";
    String ioos_category "Currents";
    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 10000.0;
    Float64 valid_min -10000.0;
  }
  QCflag {
    Byte _FillValue -127;
    String _Unsigned "false";
    Float64 colorBarMaximum 10.0;
    Float64 colorBarMinimum 0.0;
    String comment "OceanSITES quality flagging for GDOP threshold QC test. Threshold set to 2.";
    String conventions "Copernicus Marine in situ reference table 2";
    String flag_meanings "no_qc_performed good_data probably_good_data bad_data_that_are_potentially_correctable bad_data value_changed not_used nominal_value interpolated_value missing_valu";
    Byte flag_values 0, 1, 2, 3, 4, 5, 6, 7, 8, 9;
    String ioos_category "Quality";
    String long_name "Overall Quality Flags";
    String units "1";
    Byte valid_max 9;
    Byte valid_min 0;
  }
  GDOP {
    Float64 _FillValue -32.767;
    String ancillary_variables "QCflag, GDOP_QC";
    Float64 colorBarMaximum 0.1;
    Float64 colorBarMinimum 0.0;
    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 optimalgeometric 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 ioos_category "Statistics";
    String long_name "Geometrical Dilution Of Precision";
    Float64 offset 0.0;
    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";
    Float64 colorBarMaximum 10.0;
    Float64 colorBarMinimum 0.0;
    String comment "OceanSITES quality flagging for position coordinate.";
    String conventions "Copernicus Marine in situ reference table 2";
    String flag_meanings "no_qc_performed good_data probably_good_data bad_data_that_are_potentially_correctable bad_data value_changed not_used nominal_value interpolated_value missing_valu";
    Byte flag_values 0, 1, 2, 3, 4, 5, 6, 7, 8, 9;
    String ioos_category "Quality";
    String long_name "Position Quality Flag";
    String units "1";
    Byte valid_max 9;
    Byte valid_min 0;
  }
  GDOP_QC {
    Byte _FillValue -127;
    String _Unsigned "false";
    Float64 colorBarMaximum 10.0;
    Float64 colorBarMinimum 0.0;
    String comment "OceanSITES quality flagging for GDOP threshold QC test. Threshold set to 2.";
    String conventions "Copernicus Marine in situ reference table 2";
    String flag_meanings "no_qc_performed good_data probably_good_data bad_data_that_are_potentially_correctable bad_data value_changed not_used nominal_value interpolated_value missing_valu";
    Byte flag_values 0, 1, 2, 3, 4, 5, 6, 7, 8, 9;
    String ioos_category "Quality";
    String long_name "GDOP Threshold Quality Flags";
    Float64 offset 0;
    String units "1";
    Byte valid_max 9;
    Byte valid_min 0;
  }
  NC_GLOBAL {
    String _NCProperties "version=2,netcdf=4.7.4,hdf5=1.12.0,";
    String acknowledgement "MIO HF Radar Network has been established within MOOSE, TOSCA, SICOMAR PLUS, SINAPSI projects and also with the support of our institutions (Universite de Toulon, CNRS, IFREMER). The network has been designed, implemented and managed through the efforts of MIO.";
    String cdm_data_type "Grid";
    String citation "These data were collected and made freely available by the SINAPSI project and the programs that contribute to it.";
    String contributor_email "anne.molcard@univ-tln.fr; nataha.bourg@univ-tln.fr; dylan.dumas@univ-tln.fr; charles-antoine.guerin@univ-tln.fr";
    String contributor_name "Anne Molcard; Natacha Bourg; Dylan Dumas; Charles-Antoine Guerin";
    String contributor_role "Oceanographical data expert; data analysis student; radar processing phd;  radar processing expert";
    String Conventions "CF-1.6 Jerico-Next-deliverable-D5.14 Copernicus-InSituTAC-Manual-1.0 Copernicus-InSituTAC-SRD-1.4 Copernicus-InSituTAC-ParametersList-3.1.0, COARDS, ACDD-1.3";
    String creator_name "MIO UMR7294 / OSU Pytheas";
    String creator_type "institution";
    String data_assembly_center "European HFR Node";
    String data_charater_set "utf8";
    String data_language "eng";
    String data_mode "D";
    String data_type "HF radar total data";
    String description "HFradar filterd by dineof and daily averaged : total sea surface current";
    String distribution_statement "These data follow Copernicus standards; they are public and free of charge. User assumes all risk for use of data. User must display citation in any publication or product using data. User must contact PI prior to any commercial use of data.";
    Float64 Easternmost_Easting 6.81452066614216;
    String feature_type "surface";
    String format_version "v2.1.2";
    Float64 geospatial_lat_max 43.04112842239587;
    Float64 geospatial_lat_min 42.15;
    Float64 geospatial_lat_resolution 0.00900129719591791;
    String geospatial_lat_units "degrees_north";
    Float64 geospatial_lon_max 6.81452066614216;
    Float64 geospatial_lon_min 5.5;
    Float64 geospatial_lon_resolution 0.012285239870487477;
    String geospatial_lon_units "degrees_east";
    String grid_resolution "1";
    String history 
"modified by adding global attributes : 15/07/21
2024-10-30T05:42:34Z (local files)
2024-10-30T05:42:34Z http://erddap.osupytheas.fr/griddap/DINEOF_59f6_b797_92a2.das";
    String id "DOI: https://doi.org/10.34930/9263C4DF-4F55-4C5A-B183-C40EE1D844B1";
    String infoUrl "http://hfradar.univ-tln.fr/HFRADAR/squel.php?content=accueil";
    String institution "Mediterranean Institute of Oceanography";
    String institution_edmo_code "3078";
    String institution_reference "https://www.mio.osupytheas.fr";
    String keywords "atlantic, circulation, current, currents, dilution, dineof, Earth Remote Sensing Instruments > Active Remote Sensing > Imaging Radars, Earth Science > Oceans > Ocean Circulation > Ocean Currents, Earth Science > Oceans > Ocean Circulation > Oceean Currents, Earth Science > Oceans > Ocean Circulation > Wind-Driven Circulation, east, eastward, eastward_sea_water_velocity, EWCT, filterd, flag, flags, frequency, gdop, GDOP_QC, geometrical, HF, hf radar, hf radio, hfr, hfradar, hfradio, high, imaging, In Situ Land-based Platforms > Observatories, In Situ Land-based Platforms > Radio transmitters, institute, instruments, land, land-based, latitude, longitude, mediterranean, MEDITERRANEAN SEA, north, northward, northward_sea_water_velocity, NSCT, observatories, radar, radars, radio, sea_surface_skin, seawater, sensing, situ, skin, surface, transmitters, velocity, wind, wind-driven";
    String keywords_vocabulary "GCMD Science Keywords";
    String license "ETALAB : OPEN LICENCE 2.0 more info on https://www.etalab.gouv.fr/wp-content/uploads/2018/11/open-licence.pdf";
    Float64 Northernmost_Northing 43.04112842239587;
    String platform_code "HFR-MED_TLN";
    String processing_level "3C";
    String project "SINAPSI, SICOMAR PLUS(12402), IMPACT(12271), MOOSE(11574), and JERICHO NEXT(12227)";
    String publisher_email "celine.quentin@mio.osupytheas.fr";
    String publisher_name "OSU Pytheas";
    String publisher_type "institution";
    String publisher_url "http://dataset.osupytheas.fr/";
    String sensor "WERA Helzel Messtechnik";
    String site_code "HFR-MED_TLN-NCE";
    String source "coastal structure";
    String source_platform_category_code "17";
    String sourceUrl "(local files)";
    Float64 Southernmost_Northing 42.15;
    String standard_name_vocabulary "CF Standard Name Table v70";
    String summary "Daily High Frequency Radar (HFR) surface current data (radial velocity files and total velocity file) from 2 different stations located on the French Mediterranean coast (Toulon), spanning from January 2012 to December 2019. The radial datasets have been processed to remove outliers. Then the gaps in the data have been filled using the DINEOF algorithm. The total velocity is then reconstructed from the filled radial velocity files, and projected onto a cartesian grid of 1kmx1km.";
    String time_coverage_end "2019-12-31T00:00:00Z";
    String time_coverage_start "2012-01-01T00:00:00Z";
    String title "HF radar daily averaged sea surface current filterd by dineof";
    String update_interval "void";
    Float64 Westernmost_Easting 5.5;
  }
}

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.