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Dataset Title:  Near Real Time Surface Ocean Velocity by Lisboa HF Radar network Subscribe RSS
Institution:  Instituto Hidrografico   (Dataset ID: HFR_Lisboa_Total)
Information:  Summary ? | License ? | FGDC | ISO 19115 | Metadata | Background (external link) | Data Access Form
 
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) ?
    +
    -
< slider >
longitude (degrees_east) ?
    +
    -
< slider >
 
Graph Settings
Color Bar:   Continuity:   Scale: 
   Minimum:   Maximum:   N Sections: 
Draw land mask: 
Y Axis Minimum:   Maximum:   
 
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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:

The Dataset Attribute Structure (.das) for this Dataset

Attributes {
  time {
    String _CoordinateAxisType "Time";
    Float64 actual_range 1.569708e+9, 1.5942564e+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 37.90182, 38.89818;
    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 -10.59559, -8.704414;
    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;
  }
  EWCS {
    Float64 _FillValue -32.767;
    String ancillary_variables "QCflag, VART_QC";
    Float64 colorBarMaximum 0.1;
    Float64 colorBarMinimum 0.0;
    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 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 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 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 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 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 1.2 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 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 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 3 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 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 1.2 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 long_name "Velocity Threshold Quality Flags";
    String units "1";
    Byte valid_max 9;
    Byte valid_min 0;
  }
  NC_GLOBAL {
    String acknowledgement "Instituto Hidrografico";
    String area "North Atlantic Ocean";
    String calibration_link "590_IHOC_PL015: margarida.alves@hidrografico.pt; 590_IHOC_PL016: margarida.alves@hidrografico.pt";
    String calibration_type "590_IHOC_PL015: APM; 590_IHOC_PL016: APM";
    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. Data collected by Instituto Hidrografico and processed by CNR-ISMAR under the EU HFR network.";
    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 contributor_email "ih.snig.metadados@hidrografico.pt";
    String contributor_name "Instituto Hidrografico";
    String contributor_role "data originator";
    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 "Instituto Hidrografico";
    String creator_type "person";
    String data_assembly_center "European HFR Node";
    String data_character_set "utf8";
    String data_language "eng";
    String data_mode "R";
    String data_type "HF radar total data";
    String date_created "2020-06-01T03:17:48Z";
    String date_issued "2020-06-01T03:17:48Z";
    String date_modified "2020-07-02T03:38:19Z";
    String date_update "2020-07-02T03:38:19Z";
    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 "590_IHOC_PL015: Direction Finding; 590_IHOC_PL016: Direction Finding";
    Float64 Easternmost_Easting -8.704414;
    String feature_type "surface";
    String format_version "1.2";
    Float64 geospatial_lat_max 38.89818;
    Float64 geospatial_lat_min 37.90182;
    Float64 geospatial_lat_resolution 0.012612151898734212;
    String geospatial_lat_units "degrees_north";
    Float64 geospatial_lon_max -8.704414;
    Float64 geospatial_lon_min -10.59559;
    Float64 geospatial_lon_resolution 0.016026915254237287;
    String geospatial_lon_units "degrees_east";
    String grid_resolution "1.4";
    String history 
"2020-06-01T00:00:00Z data collected. 2020-06-01T03:17:48Z netCDF file created and sent to European HFR Node
2020-07-10T08:32:40Z (local files)
2020-07-10T08:32:40Z https://erddap.emodnet-physics.eu/griddap/HFR_Lisboa_Total.das";
    String id "GL_TV_HF_HFR-Lisboa-Total_202006";
    String infoUrl "???";
    String institution "Instituto Hidrografico";
    String institution_edmo_code "590";
    String institution_reference "http://www.hidrografico.pt/";
    String keywords "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, EWCS, EWCT, flags, frequency, gdop, GDOP_QC, geometrical, HF, hf radar, hfr, hfradar, hidrografico, high, instituto, LATITUDE, lisboa, LONGITUDE, near, near real time, network, 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 "590_IHOC_PL015: 2017-08-08T00:00:00Z; 590_IHOC_PL016: 2014-08-07T00:00:00Z";
    String license "License Attribution-ShareAlike 4.0 International (CC BY-SA 4.0)";
    String metadata_character_set "utf8";
    String metadata_contact "lorenzo.corgnati@sp.ismar.cnr.it";
    String metadata_date_stamp "2020-06-01T03:17:48Z";
    String metadata_language "eng";
    String naming_authority "eu.eurogoos";
    String netcdf_format "netcdf4_classic";
    String netcdf_version "4.3.3.1";
    String network "Lisboa HF Radar network";
    Float64 Northernmost_Northing 38.89818;
    String platform_code "HFR-Lisboa-Total";
    String processing_level "3B";
    String project "MONIZEE; MyCoast";
    String publisher_email "euhfrnode@azti.es";
    String publisher_name "European HFR Node";
    String publisher_type "institution";
    String publisher_url "http://eurogoos.eu/";
    String reference_system "EPSG:4806";
    String references "High Frequency Radar European common data and metadata model Reference Card: all you need to know about High Frequency Radar (HFR) data harmonization at a glance. http://www.marineinsitu.eu/wp-content/uploads/2018/02/HFR_Data_Model_Reference_Card_v1.pdf";
    String sensor "CODAR SeaSonde";
    String site_code "HFR-Lisboa";
    String software_name "HFR_Combiner";
    String software_version "v3.3";
    String source "coastal structure";
    String source_platform_category_code "17";
    String sourceUrl "(local files)";
    Float64 Southernmost_Northing 37.90182;
    String standard_name_vocabulary "CF Standard Name Table v55";
    String summary "Coastal ocean surface current maps in different areas of the Portuguese Continental shelf measured by High-Frequency Radars (HFR) since 2012. Two HFR sites (EPSM and JLSM) are needed for computing the map of total surface current vectors in the overlapping coverage area. HFR is routinely used for real-time monitoring of ocean currents in many places around the world with a growing range of near-real time applications (e.g. search and rescue and oil spill monitoring, navigational safety, model assessment and model improvement, throughout data assimilation).";
    String testOutOfDate "now-3days";
    String time_coverage_duration "PT1H";
    String time_coverage_end "2020-07-09T01:00:00Z";
    String time_coverage_resolution "PT1H";
    String time_coverage_start "2019-09-28T22:00:00Z";
    String title "Near Real Time Surface Ocean Velocity by Lisboa HF Radar network";
    String topic_category "oceans";
    String update_interval "void";
    Float64 Westernmost_Easting -10.59559;
  }
}

 

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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