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Dataset Title:  2000-2014 climatology of the Subtropical Mode Waters and Permanent Pycnocline
properties in the North Atlantic
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Institution:  Ifremer/LOPS   (Dataset ID: OACP-Argo-NATL)
Range: longitude = -78.378 to -2.378°E, latitude = 13.037 to 63.037°N
Information:  Summary ? | License ? | FGDC | ISO 19115 | Metadata | Background (external link) | Data Access Form
 
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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 {
 s {
  longitude {
    String _CoordinateAxisType "Lon";
    Float64 actual_range -78.378, -2.378;
    String axis "X";
    Float64 colorBarMaximum 180.0;
    Float64 colorBarMinimum -180.0;
    String ioos_category "Location";
    String long_name "Station longitude";
    String standard_name "longitude";
    String units "degrees_east";
    Float64 valid_max -2.378;
    Float64 valid_min -78.378;
  }
  latitude {
    String _CoordinateAxisType "Lat";
    Float64 actual_range 13.037, 63.037;
    String axis "Y";
    Float64 colorBarMaximum 90.0;
    Float64 colorBarMinimum -90.0;
    String ioos_category "Location";
    String long_name "Station latitude";
    String standard_name "latitude";
    String units "degrees_north";
    Float64 valid_max 63.037;
    Float64 valid_min 1.037;
  }
  PPD {
    Float64 _FillValue -9999.0;
    Float64 actual_range -953.2535981512026, -242.8071487130764;
    String long_name "Permanent pycnocline depth";
    String units "m";
  }
  PPD_er {
    Float64 _FillValue -9999.0;
    Float64 actual_range 8.880517761147912, 173.78922796573423;
    Float64 colorBarMaximum 50.0;
    Float64 colorBarMinimum 0.0;
    String long_name "Error of the permanent pycnocline depth estimate";
    String units "m";
  }
  PPH {
    Float64 _FillValue -9999.0;
    Float64 actual_range 185.29064005762262, 647.5192364238837;
    String long_name "Permanent pycnocline total thickness";
    String units "m";
  }
  PPH_er {
    Float64 _FillValue -9999.0;
    Float64 actual_range 11.446225450597783, 168.24595894525078;
    Float64 colorBarMaximum 50.0;
    Float64 colorBarMinimum 0.0;
    String long_name "Error of the permanent pycnocline total thickness estimate";
    String units "m";
  }
  PPHTOP {
    Float64 _FillValue -9999.0;
    Float64 actual_range 57.376205734352915, 263.81591347925394;
    String long_name "Permanent pycnocline top thickness";
    String units "m";
  }
  PPHTOP_er {
    Float64 _FillValue -9999.0;
    Float64 actual_range 2.461152581231751, 99.71654254775751;
    Float64 colorBarMaximum 50.0;
    Float64 colorBarMinimum 0.0;
    String long_name "Error of the permanent pycnocline top thickness estimate";
    String units "m";
  }
  PPHBTO {
    Float64 _FillValue -9999.0;
    Float64 actual_range 68.59743127137779, 527.3243981463277;
    String long_name "Permanent pycnocline bottom thickness";
    String units "m";
  }
  PPHBTO_er {
    Float64 _FillValue -9999.0;
    Float64 actual_range 5.376122544432762, 179.5580835500565;
    Float64 colorBarMaximum 50.0;
    Float64 colorBarMinimum 0.0;
    String long_name "Error of the permanent pycnocline bottom thickness estimate";
    String units "m";
  }
  PPTEMP {
    Float64 _FillValue -9999.0;
    Float64 actual_range 6.3586992663946535, 18.50680114195565;
    Float64 colorBarMaximum 40.0;
    Float64 colorBarMinimum -10.0;
    String long_name "Temperature at the depth of the permanent pycnocline";
    String units "deg C";
  }
  PPPSAL {
    Float64 _FillValue -9999.0;
    Float64 actual_range 34.9411918585997, 36.73116593165583;
    Float64 colorBarMaximum 37.0;
    Float64 colorBarMinimum 32.0;
    String long_name "Salinity at the depth of the permanent pycnocline";
    String standard_name "sea_water_practical_salinity";
    String units "PSU";
  }
  PPSIG0 {
    Float64 _FillValue -9999.0;
    Float64 actual_range 26.46678204114572, 27.62069762036254;
    Float64 colorBarMaximum 200.0;
    Float64 colorBarMinimum 0.0;
    String long_name "Potential density referenced to the surface at the depth of the permanent pycnocline";
    String units "kg/m^3";
  }
  PPPLPV {
    Float64 _FillValue -9999.0;
    Float64 actual_range 3.237436939089251e-11, 2.809063883497822e-10;
    String long_name "Planetary potential vorticity at the depth of the permanent pycnocline";
    String units "m^-1 s^-1";
  }
  PPBFRQ {
    Float64 _FillValue -9999.0;
    Float64 actual_range 5.816114045972214e-6, 3.335490167860834e-5;
    String long_name "Brunt-Vaisala frequency squared at the depth of the permanent pycnocline";
    String units "s^-2";
  }
  MWD {
    Float64 _FillValue -9999.0;
    Float64 actual_range -564.8565994298092, -101.4024379885401;
    Float64 colorBarMaximum 360.0;
    Float64 colorBarMinimum 0.0;
    String long_name "Mode water depth";
    String standard_name "sea_surface_wave_to_direction";
    String units "m";
  }
  MWTEMP {
    Float64 _FillValue -9999.0;
    Float64 actual_range 7.334641768551486, 20.87849892293352;
    Float64 colorBarMaximum 32.0;
    Float64 colorBarMinimum 0.0;
    String long_name "Temperature at the depth of the mode water";
    String standard_name "sea_water_temperature";
    String units "deg C";
  }
  MWPSAL {
    Float64 _FillValue -9999.0;
    Float64 actual_range 35.062122533849646, 37.203132355088755;
    Float64 colorBarMaximum 37.0;
    Float64 colorBarMinimum 32.0;
    String long_name "Salinity at the depth of the mode water";
    String standard_name "sea_water_practical_salinity";
    String units "PSU";
  }
  MWSIG0 {
    Float64 _FillValue -9999.0;
    Float64 actual_range 26.12508276682734, 27.50482278574963;
    Float64 colorBarMaximum 28.0;
    Float64 colorBarMinimum 20.0;
    String long_name "Potential density referenced to the surface at the depth of the mode water";
    String standard_name "sea_water_density";
    String units "kg/m^3";
  }
  MWPLPV {
    Float64 _FillValue -9999.0;
    Float64 actual_range 1.4181034039829272e-11, 1.414445752981002e-10;
    String long_name "Planetary potential vorticity at the depth of the mode water";
    String units "m^-1 s^-1";
  }
  MWBFRQ {
    Float64 _FillValue -9999.0;
    Float64 actual_range 1.2165389056569305e-6, 1.7334111776013765e-5;
    String long_name "Brunt-Vaisala frequency squared at the depth of the mode water";
    String units "s^-2";
  }
 }
  NC_GLOBAL {
    String cdm_data_type "Other";
    String comment "Properties error computed as a Gaussian distance weighted standard error estimates using a decorrelation time-scale of 3 months to compute the number of independant observations.";
    String Conventions "CF-1.6, COARDS, ACDD-1.3";
    String Conventions_help "http://cf-pcmdi.llnl.gov/documents/cf-conventions/1.6/cf-conventions.html";
    String CreatedBy "cfeucher";
    String CreationDate "2016/02/11 14:27:42";
    String creator_name "Ifremer/LOPS";
    String creator_type "institution";
    String creator_url "https://wwz.ifremer.fr/";
    String description "Maps of properties from OAC-P estimates.";
    Float64 Easternmost_Easting -2.378;
    Float64 geospatial_lat_max 63.037;
    Float64 geospatial_lat_min 13.037;
    String geospatial_lat_units "degrees_north";
    Float64 geospatial_lon_max -2.378;
    Float64 geospatial_lon_min -78.378;
    String geospatial_lon_units "degrees_east";
    String history 
"OAC-P v1.0
2024-05-01T00:20:02Z (local files)
2024-05-01T00:20:02Z https://erddap.ifremer.fr/tabledap/OACP-Argo-NATL.das";
    String infoUrl "https://wwz.ifremer.fr/";
    String institution "Ifremer/LOPS";
    String keywords "2000-2014, atlantic, bottom, brunt, brunt-vaisala, climatology, data, density, depth, direction, Earth Science > Oceans > Ocean Temperature > Water Temperature, Earth Science > Oceans > Ocean Waves > Wave Speed/Direction, Earth Science > Oceans > Salinity/Density > Density, Earth Science > Oceans > Salinity/Density > Salinity, error, estimate, exploitation, francais, frequency, ifremer, institut, latitude, longitude, lops, lops/ifremer, mer, mode, MWBFRQ, MWD, MWPLPV, MWPSAL, MWSIG0, MWTEMP, north, ocean, oceans, permanent, planetary, potential, pour, PPBFRQ, PPD, PPD_er, PPH, PPH_er, PPHBTO, PPHBTO_er, PPHTOP, PPHTOP_er, PPPLPV, PPPSAL, PPSIG0, PPTEMP, practical, properties, pycnocline, recherche, referenced, salinity, sea, sea_surface_wave_to_direction, sea_water_density, sea_water_practical_salinity, sea_water_temperature, seawater, speed, squared, station, surface, temperature, thickness, top, total, vaisala, vorticity, water, wave, waves";
    String keywords_vocabulary "GCMD Science Keywords";
    String license 
"The data may be used and redistributed for free but is not intended
for legal use, since it may contain inaccuracies. Neither the data
Contributor, ERD, NOAA, nor the United States Government, nor any
of their employees or contractors, makes any warranty, express or
implied, including warranties of merchantability and fitness for a
particular purpose, or assumes any legal liability for the accuracy,
completeness, or usefulness, of this information.";
    String long_title "North Atlantic permanent pycnocline mapped properties from Argo profile OAC-P estimate";
    String method "Permanent pycnocline properties mapped on to a regular 0.5x0.5 grid using a Gaussian weighted mean. Grid point mapping was limited to a 0.5 degree radius disk containing at least 6 points values.";
    Float64 Northernmost_Northing 63.037;
    String references "C. Feucher, G. Maze, and H. Mercier, 2016: Mean structure of the North Atlantic subtropical permanent pycnocline from in-situ observations. J. Atmos. Oceanic Technol., in review.";
    String source "OAC-P v1.0";
    String sourceUrl "(local files)";
    Float64 Southernmost_Northing 13.037;
    String standard_name_vocabulary "CF Standard Name Table v29";
    String summary "Maps of properties from OAC-P estimates.";
    String title "2000-2014 climatology of the Subtropical Mode Waters and Permanent Pycnocline properties in the North Atlantic";
    String version "1.0";
    Float64 Westernmost_Easting -78.378;
  }
}

 

Using tabledap to Request Data and Graphs from Tabular Datasets

tabledap lets you request a data subset, a graph, or a map from a tabular dataset (for example, buoy data), via a specially formed URL. tabledap uses the OPeNDAP (external link) Data Access Protocol (DAP) (external link) and its selection 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.

Tabledap request URLs must be in the form
https://coastwatch.pfeg.noaa.gov/erddap/tabledap/datasetID.fileType{?query}
For example,
https://coastwatch.pfeg.noaa.gov/erddap/tabledap/pmelTaoDySst.htmlTable?longitude,latitude,time,station,wmo_platform_code,T_25&time>=2015-05-23T12:00:00Z&time<=2015-05-31T12:00:00Z
Thus, the query is often a comma-separated list of desired variable names, followed by a collection of constraints (e.g., variable<value), each preceded by '&' (which is interpreted as "AND").

For details, see the tabledap Documentation.


 
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