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Dataset Title:  HF radar monthly Near Real Time Surface Ocean Velocity by MedSea (Toulon area)
2012-2019
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Institution:  Mediterranean Institute of Oceanography - Toulon   (Dataset ID: MooseMEDTLN_MonthlyAveraged_May2012_Sept2014_d6cc_8bb4_6ef2)
Information:  Summary ? | License ? | FGDC | ISO 19115 | Metadata | Background (external link) | Data Access Form | Files
 
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Y Axis:  ?
Color:  ?
 
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time (UTC) ?     specify just 1 value →
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< <
depth (m) ?     specify just 1 value →
   
< <
latitude (degrees_north) ?
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< slider >
longitude (degrees_east) ?
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Y Axis Minimum:   Maximum:   
 
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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 1.3385125125e+9, 1.5646176e+9;
    String ancillary_variables "TIME_QC";
    String axis "T";
    String calendar "Gregorian";
    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 42.15, 43.09513;
    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";
  }
  longitude {
    String _CoordinateAxisType "Lon";
    Float32 actual_range 5.6, 6.816239;
    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";
  }
  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 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 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 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 10.0;
    Float64 valid_min -10.0;
  }
  EKE {
    Float64 _FillValue -32.767;
    String ioos_category "Unknown";
    String long_name "Eddy Kinetical Energy";
    String standard_name "eddy kinetical energy";
    String units "m2 s-2";
  }
  EWCS {
    Float64 _FillValue -32.767;
    String ancillary_variables "QCflag, VART_QC";
    Float64 colorBarMaximum 0.1;
    Float64 colorBarMinimum 0.0;
    String ioos_category "Statistics";
    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 ioos_category "Statistics";
    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;
  }
  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 ioos_category "Statistics";
    String long_name "Geometrical Dilution Of Precision";
    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;
    Float64 colorBarMaximum 10.0;
    Float64 colorBarMinimum 0.0;
    String comment "OceanSITES quality flagging for position coordinates.";
    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_value";
    Byte flag_values 0, 1, 2, 3, 4, 5, 6, 7, 8, 9;
    String ioos_category "Quality";
    String long_name "Position Quality Flags";
    String units "1";
    Byte valid_max 9;
    Byte valid_min 0;
  }
  QCflag {
    Byte _FillValue -127;
    Float64 colorBarMaximum 10.0;
    Float64 colorBarMinimum 0.0;
    String comment "OceanSITES quality flagging for all QC tests.";
    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_value";
    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;
  }
  VART_QC {
    Byte _FillValue -127;
    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 0.5 m/s.";
    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_value";
    Byte flag_values 0, 1, 2, 3, 4, 5, 6, 7, 8, 9;
    String ioos_category "Statistics";
    String long_name "Variance Threshold Quality Flags";
    String units "1";
    Byte valid_max 9;
    Byte valid_min 0;
  }
  GDOP_QC {
    Byte _FillValue -127;
    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_value";
    Byte flag_values 0, 1, 2, 3, 4, 5, 6, 7, 8, 9;
    String ioos_category "Quality";
    String long_name "GDOP Threshold Quality Flags";
    String units "1";
    Byte valid_max 9;
    Byte valid_min 0;
  }
  DDNS_QC {
    Byte _FillValue -127;
    Float64 colorBarMaximum 10.0;
    Float64 colorBarMinimum 0.0;
    String comment "OceanSITES quality flagging for Data density threshold QC test. Threshold set to 2 radials.";
    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_value";
    Byte flag_values 0, 1, 2, 3, 4, 5, 6, 7, 8, 9;
    String ioos_category "Quality";
    String long_name "Data Density Threshold Quality Flags";
    String units "1";
    Byte valid_max 9;
    Byte valid_min 0;
  }
  CSPD_QC {
    Byte _FillValue -127;
    Float64 colorBarMaximum 10.0;
    Float64 colorBarMinimum 0.0;
    String comment "OceanSITES quality flagging for Velocity threshold QC test. Threshold set to 1.5 m/s.";
    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_value";
    Byte flag_values 0, 1, 2, 3, 4, 5, 6, 7, 8, 9;
    String ioos_category "Quality";
    String long_name "Velocity Threshold Quality Flags";
    String units "1";
    Byte valid_max 9;
    Byte valid_min 0;
  }
  NC_GLOBAL {
    String acknowledgement "MIO HF Radar Network has been established within MOOSE, TOSCA, SICOMAR PLUS 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 calibration_link "POB: charles-antoine.guerin@univ-tln.fr dylan.dumas@univ-tln.fr; PEY: charles-antoine.guerin@univ-tln.fr dylan.dumas@univ-tln.fr";
    String calibration_type "POB: internal; PEY: internal";
    String cdm_data_type "Grid";
    String citation "These data were collected and made freely available by the Copernicus project and the programs that contribute to it.";
    String contributor_email "charles-antoine.guerin@univ-tln.fr; anne.molcard@univ-tln.fr; dylan.dumas@univ-tln.fr; anthony.gramoulle@univ-tln.fr; celine.quentin@univ-tln.fr";
    String contributor_name "Charles-Antoine Guerin; Anne Molcard; Dylan Dumas; Anthony Gramoulle; Celine Quentin";
    String contributor_role "Radar processing expert; oceanographical data expert; radar processing phd; oceanographical data expert; radar data 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 "Mediterranean Institute of Oceanography - Toulon";
    String data_assembly_center "European HFR Node";
    String data_mode "R";
    String data_type "HF radar total data";
    String date_created "2020-02-14T13:37:25Z";
    String date_modified "2020-02-14T13:37:25Z";
    String date_update "2020-02-14T13:37:25Z";
    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.";
    String DoA_estimation_method "POB: Direction Finding; PEY: Direction Finding";
    Float64 Easternmost_Easting 6.816239;
    String feature_type "surface";
    String format_version "v2.1.2";
    Float64 geospatial_lat_max 43.09513;
    Float64 geospatial_lat_min 42.15;
    Float64 geospatial_lat_resolution 0.009001238095238085;
    String geospatial_lat_units "degrees_north";
    Float64 geospatial_lon_max 6.816239;
    Float64 geospatial_lon_min 5.6;
    Float64 geospatial_lon_resolution 0.012285242424242431;
    String geospatial_lon_units "degrees_east";
    String history 
"2019-08-01T00:01:00Z data collected. 2020-02-14T13:37:25Z netCDF file created and sent to European HFR Node
2020-10-30T03:56:58Z (local files)
2020-10-30T03:56:58Z http://erddap.osupytheas.fr/griddap/MooseMEDTLN_MonthlyAveraged_May2012_Sept2014_d6cc_8bb4_6ef2.das";
    String id "HFR-MedTln-Total_2019-08-01T00:01:00Z";
    String infoUrl "???";
    String institution "Mediterranean Institute of Oceanography - Toulon";
    String institution_edmo_code "3078";
    String keywords "circulation, component, 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, eddy, eddy kinetical energy, EKE, energy, EWCS, EWCT, flags, gdop, GDOP_QC, geometrical, institute, kinetical, LATITUDE, LONGITUDE, mediterranean, medsea, near, near real time, north, northward, northward_sea_water_velocity, NSCS, NSCT, ocean, oceanography, oceans, overall, position, POSITION_QC, precision, QCflag, quality, real, science, sea, seawater, south, south-north, standard, statistics, surface, threshold, time, toulon, variance, VART_QC, velocity, water, west, west-east";
    String keywords_vocabulary "GCMD Science Keywords";
    String last_calibration_date "POB: 2020-01-10T00:00:00Z; PEY: 2020-01-10T00:00:00Z";
    String license "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 Northernmost_Northing 43.09513;
    String platform_code "HFR-MedTln-Total";
    String processing_level "3A";
    String project "SICOMAR PLUS, IMPACT(12271), MOOSE(11574), JERICHO NEXT(12227) and TOSCA";
    String publisher_email "euhfrnode@azti.es";
    String publisher_name "European HFR Node";
    String publisher_type "institution";
    String publisher_url "http://eurogoos.eu/";
    String site_code "HFR-MedTln";
    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 v55";
    String summary "The  dataset  consists  of  maps  of  total velocity of the surface current in the Meditarranean Sea in the area of Toulon averaged  over  a time interval of 1 hour starting from the cardinal hour.";
    String time_coverage_end "2019-08-01T00:00:00Z";
    String time_coverage_start "2012-06-01T01:01:52Z";
    String title "HF radar monthly Near Real Time Surface Ocean Velocity by MedSea (Toulon area) 2012-2019";
    String update_interval "void";
    Float64 Westernmost_Easting 5.6;
  }
}

 

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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