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Dataset Title:  Global Ocean - In Situ Observation Copernicus Subscribe RSS
Institution:  AZTI; Ifremer   (Dataset ID: HF_75c7_5b60_95d8)
Information:  Summary ? | License ? | FGDC | ISO 19115 | Metadata | Background (external link) | Data Access Form
 
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Y Axis:  ?
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depth (m) ?     specify just 1 value →
   
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latitude (degrees_north) ?
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longitude (degrees_east) ?
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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:

The Dataset Attribute Structure (.das) for this Dataset

Attributes {
  time {
    String _CoordinateAxisType "Time";
    Float64 actual_range 1.5436224e+9, 1.7181648e+9;
    String ancillary_variables "TIME_QC";
    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";
    Float64 valid_max 90000.0;
    Float64 valid_min -90000.0;
  }
  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 {
    Int32 _ChunkSizes 29;
    String _CoordinateAxisType "Lat";
    Float32 actual_range 43.32, 44.58;
    String ancillary_variables "POSITION_QC";
    String axis "Y";
    String grid_mapping "crs";
    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 {
    Int32 _ChunkSizes 33;
    String _CoordinateAxisType "Lon";
    Float32 actual_range -3.196593, -1.203407;
    String ancillary_variables "POSITION_QC";
    String axis "X";
    String grid_mapping "crs";
    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";
    Float64 colorBarMaximum 0.5;
    Float64 colorBarMinimum -0.5;
    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";
    Float64 colorBarMaximum 0.5;
    Float64 colorBarMinimum -0.5;
    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";
    Float64 colorBarMaximum 0.1;
    Float64 colorBarMinimum 0.0;
    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";
    Float64 colorBarMaximum 0.1;
    Float64 colorBarMinimum 0.0;
    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";
    Float64 colorBarMaximum 50.0;
    Float64 colorBarMinimum 0.0;
    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";
    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 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";
    Float64 colorBarMaximum 10.0;
    Float64 colorBarMinimum 0.0;
    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";
    Float64 colorBarMaximum 10.0;
    Float64 colorBarMinimum 0.0;
    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";
    Float64 colorBarMaximum 10.0;
    Float64 colorBarMinimum 0.0;
    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 1.2 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";
    Float64 colorBarMaximum 10.0;
    Float64 colorBarMinimum 0.0;
    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";
    Float64 colorBarMaximum 10.0;
    Float64 colorBarMinimum 0.0;
    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";
    Float64 colorBarMaximum 10.0;
    Float64 colorBarMinimum 0.0;
    String comment "OceanSITES quality flagging for Velocity threshold QC test.  Velocity Threshold QC Test - Test applies to each vector. Threshold=[maximum velocity=1.2 (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=4.7.4,hdf5=1.10.6";
    String acknowledgement "These data were collected and made freely available by the Copernicus project and the programs that contribute to it. Data collected by Euskalmet and processed by AZTI within EuskOOS and JERICO-NEXT projects.";
    String area "SE Bay of Biscay";
    String calibration_link "HIGE: arubio@azti.es; MATX: arubio@azti.es; MIMZ: louis.marie@ifremer.fr";
    String calibration_type "HIGE: APM; MATX: APM; MIMZ: Full";
    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. These data are collected and processed by AZTI (member of BRTA) with the support of different projects: Jerico-Next, INCREASE, CMEMS-INSTAC phase II and IBISAR.";
    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-1.6 Copernicus-InSituTAC-FormatManual-1.4 Copernicus-InSituTAC-SRD-1.41 Copernicus-InSituTAC-ParametersList-3.2.0, COARDS, ACDD-1.3";
    String creator_email "lorenzo.corgnati@sp.ismar.cnr.it";
    String creator_name "AZTI";
    String creator_type "institution";
    String creator_url "https://www.hfrnode.eu/";
    String data_mode "R";
    String date_created "2024-01-23T19:27:10Z";
    String date_modified "2024-06-12T07:41:06Z";
    String doa_estimation_method "HIGE: Direction Finding; MATX: Direction Finding; MIMZ: Beam Forming";
    Float64 Easternmost_Easting -1.203407;
    String format_version "2.0";
    Float64 geospatial_lat_max 44.58;
    Float64 geospatial_lat_min 43.32;
    Float64 geospatial_lat_resolution 0.04499999999999993;
    String geospatial_lat_units "degrees_north";
    Float64 geospatial_lon_max -1.203407;
    Float64 geospatial_lon_min -3.196593;
    Float64 geospatial_lon_resolution 0.062287062500000004;
    String geospatial_lon_units "degrees_east";
    String history 
"Data measured from 2018-11-30T23:30:00Z to 2018-12-01T23:30:00Z. netCDF file created at 2024-01-23T19:27:10Z by the European HFR Node.
2024-10-04T12:33:24Z (local files)
2024-10-04T12:33:24Z https://erddap.ifremer.fr/griddap/HF_75c7_5b60_95d8.das";
    String id "GL_TV_HF_HFR-EUSKOOS-Total";
    String infoUrl "???";
    String institution "AZTI; Ifremer";
    String institution_edmo_code "1623";
    String institution_references "https://www.euskoos.eus/ https://wwz.ifremer.fr/";
    String keywords "azti, CCOV, circulation, component, covariance, CSPD_QC, current, currents, data, DDNS_QC, density, DEPTH, deviation, dilution, earth, Earth Science > Oceans > Ocean Circulation > Ocean Currents, east, eastward, eastward_sea_water_velocity, euskoos, EWCS, EWCT, flags, frequency, gdop, GDOP_QC, geometrical, HF, hf radar, hfradar, high, LATITUDE, LONGITUDE, near, near real time, north, northward, northward_sea_water_velocity, nrt, NSCS, NSCT, ocean, ocean currents, oceans, overall, position, POSITION_QC, precision, QCflag, quality, radar, real, science, scr-hf, sea, seawater, south, south-north, standard, surface, surface water, threshold, time, variance, VART_QC, velocity, water, west, west-east";
    String keywords_vocabulary "GCMD Science Keywords";
    String last_calibration_date "HIGE: 2023-06-01T00:00:00Z; MATX: 2023-06-01T00:00:00Z; MIMZ: 2021-06-01T00:00:00Z";
    String license "HF radar sea surface current velocity dataset is licensed under a Creative Commons Attribution 4.0 International License. You should have received a copy of the license along with this work. If not, see https://creativecommons.org/licenses/by/4.0/.";
    String manufacturer "HIGE: CODAR, MATX: CODAR, MIMZ: LERA";
    String naming_authority "Copernicus Marine In Situ";
    String netcdf_version "netCDF-4 classic model";
    String network "HFR-EUSKOOS";
    Float64 Northernmost_Northing 44.58;
    String platform_code "HFR-EUSKOOS-Total";
    String platform_name "HFR-EUSKOOS-Total";
    String processing_level "3B";
    String project "EUSKOOS, MYCOAST, INCREASE, INSTAC, JERICO-NEXT";
    String publisher_email "cmems-service@ifremer.fr";
    String publisher_institution "European HFR Node";
    String publisher_name "Copernicus Marine Service";
    String publisher_type "institution";
    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 "HIGE: CODAR, MATX: CODAR, MIMZ: LERA";
    String site_code "HFR-EUSKOOS";
    String source "coastal structure";
    String source_platform_category_code "17";
    String sourceUrl "(local files)";
    Float64 Southernmost_Northing 43.32;
    String spatial_resolution "5.0";
    String standard_name_vocabulary "CF Standard Name Table v55";
    String summary "The data set consists of maps of total velocity of the surface current averaged over a time interval of 1 hour around the cardinal hour. Surface ocean velocities estimated by High Frequency (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. 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 testOutOfDate "now-16days";
    String time_coverage_duration "P1DT0H0M0S";
    String time_coverage_end "2024-06-12T04:00:00Z";
    String time_coverage_resolution "PT1H";
    String time_coverage_start "2018-12-01T00:00:00Z";
    String title "Global Ocean - In Situ Observation Copernicus";
    String update_interval "void";
    Float64 Westernmost_Easting -3.196593;
  }
}

 

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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