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Dataset Title:  2000-2015 climatology of the Subtropical Mode Waters and Permanent Pycnocline
properties in the World Ocean
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Institution:  LOPS/Ifremer   (Dataset ID: OACP-Argo-Clim)
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 {
  latitude {
    String _CoordinateAxisType "Lat";
    Float64 actual_range -61.642, 64.358;
    String axis "Y";
    String ioos_category "Location";
    String long_name "Latitude";
    String source_name "GLOBAL/latitude";
    String standard_name "latitude";
    String units "degrees_north";
    Float64 valid_max 64.358;
    Float64 valid_min -61.642;
  }
  longitude {
    String _CoordinateAxisType "Lon";
    Float64 actual_range -242.156, 129.844;
    String axis "X";
    String ioos_category "Location";
    String long_name "Longitude";
    String source_name "GLOBAL/longitude";
    String standard_name "longitude";
    String units "degrees_east";
    Float64 valid_max 129.844;
    Float64 valid_min -242.156;
  }
  GLOBAL_PPD {
    Float64 _FillValue -9999.0;
    Float64 colorBarMaximum -128.161385761;
    Float64 colorBarMinimum -981.486749919;
    String long_name "Permanent pycnocline depth";
    String units "m";
  }
  GLOBAL_PPD_er {
    Float64 _FillValue -9999.0;
    Float64 colorBarMaximum 50.0;
    Float64 colorBarMinimum 0.0;
    String long_name "Error of the permanent pycnocline depth estimate";
    String units "m";
  }
  GLOBAL_PPH {
    Float64 _FillValue -9999.0;
    Float64 colorBarMaximum 582.919181474;
    Float64 colorBarMinimum 53.5723938716;
    String long_name "Permanent pycnocline total thickness";
    String units "m";
  }
  GLOBAL_PPH_er {
    Float64 _FillValue -9999.0;
    Float64 colorBarMaximum 50.0;
    Float64 colorBarMinimum 0.0;
    String long_name "Error of the permanent pycnocline total thickness estimate";
    String units "m";
  }
  GLOBAL_PPHTOP {
    Float64 _FillValue -9999.0;
    Float64 colorBarMaximum 269.081255994;
    Float64 colorBarMinimum 26.0;
    String long_name "Permanent pycnocline top thickness";
    String units "m";
  }
  GLOBAL_PPHTOP_er {
    Float64 _FillValue -9999.0;
    Float64 colorBarMaximum 50.0;
    Float64 colorBarMinimum 0.0;
    String long_name "Error of the permanent pycnocline top thickness estimate";
    String unDits "m";
  }
  GLOBAL_PPHBTO {
    Float64 _FillValue -9999.0;
    Float64 colorBarMaximum 541.67363577;
    Float64 colorBarMinimum 20.6315167788;
    String long_name "Permanent pycnocline bottom thickness";
    String units "m";
  }
  GLOBAL_PPHBTO_er {
    Float64 _FillValue -9999.0;
    Float64 colorBarMaximum 50.0;
    Float64 colorBarMinimum 0.0;
    String long_name "Error of the permanent pycnocline bottom thickness estimate";
    String units "m";
  }
  GLOBAL_PPTEMP {
    Float64 _FillValue -9999.0;
    Float64 colorBarMaximum 40.0;
    Float64 colorBarMinimum -10.0;
    String long_name "Temperature at the depth of the permanent pycnocline";
    String units "deg C";
  }
  GLOBAL_PPPOTTEMP {
    Float64 _FillValue -9999.0;
    Float64 colorBarMaximum 40.0;
    Float64 colorBarMinimum -10.0;
    String long_name "Potential temperature at the depth of the permanent pycnocline (referenced to the surface)";
    String units "deg C";
  }
  GLOBAL_PPCONSTEMP {
    Float64 _FillValue -9999.0;
    Float64 colorBarMaximum 40.0;
    Float64 colorBarMinimum -10.0;
    String long_name "Conservative temperature at the depth of the permanent pycnocline";
    String units "deg C";
  }
  GLOBAL_PPPSAL {
    Float64 _FillValue -9999.0;
    Float64 colorBarMaximum 37.0;
    Float64 colorBarMinimum 32.0;
    String long_name "Practical salinity at the depth of the permanent pycnocline";
    String standard_name "sea_water_practical_salinity";
    String units "PSU";
  }
  GLOBAL_PPABSAL {
    Float64 _FillValue -9999.0;
    Float64 colorBarMaximum 37.0;
    Float64 colorBarMinimum 32.0;
    String long_name "Absolute  salinity at the depth of the permanent pycnocline";
    String standard_name "sea_water_absolute_salinity";
    String units "g/kg";
  }
  GLOBAL_PPSIG0 {
    Float64 _FillValue -9999.0;
    Float64 colorBarMaximum 27.6025463077;
    Float64 colorBarMinimum 25.0591358346;
    String long_name "Potential density referenced to the surface at the depth of the permanent pycnocline";
  }
  GLOBAL_PPPLPV {
    Float64 _FillValue -9999.0;
    Float64 colorBarMaximum 1.10154048247e-9;
    Float64 colorBarMinimum -8.0798795865e-10;
    String long_name "Planetary potential vorticity at the depth of the permanent pycnocline";
    String units "m^-1 s^-1";
  }
  GLOBAL_PPBFRQ {
    Float64 _FillValue -9999.0;
    Float64 colorBarMaximum 1.79511131281e-4;
    Float64 colorBarMinimum 5.69752586727e-6;
    String long_name "Brunt-Vaisala frequency squared at the depth of the permanent pycnocline";
    String units "s^-2";
  }
  GLOBAL_MWD {
    Float64 _FillValue -9999.0;
    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";
  }
  GLOBAL_MWH {
    Float64 _FillValue -9999.0;
    Float64 colorBarMaximum 853.194419482;
    Float64 colorBarMinimum 22.6363890836;
    String long_name "Mode water thickness";
    String units "m";
  }
  GLOBAL_MWTEMP {
    Float64 _FillValue -9999.0;
    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";
  }
  GLOBAL_MWPOTTEMP {
    Float64 _FillValue -9999.0;
    Float64 colorBarMaximum 32.0;
    Float64 colorBarMinimum 0.0;
    String long_name "Potential temperature at the depth of the mode water (referenced to the surface)";
    String standard_name "sea_water_potential_temperature";
    String units "deg C";
  }
  GLOBAL_MWCONSTEMP {
    Float64 _FillValue -9999.0;
    Float64 colorBarMaximum 32.0;
    Float64 colorBarMinimum 0.0;
    String long_name "Conservative temperature at the depth of the mode water";
    String standard_name "sea_water_temperature";
    String units "deg C";
  }
  GLOBAL_MWPSAL {
    Float64 _FillValue -9999.0;
    Float64 colorBarMaximum 37.0;
    Float64 colorBarMinimum 32.0;
    String long_name "Practical salinity at the depth of the mode water";
    String standard_name "sea_water_practical_salinity";
    String units "PSU";
  }
  GLOBAL_MWABSAL {
    Float64 _FillValue -9999.0;
    Float64 colorBarMaximum 37.0;
    Float64 colorBarMinimum 32.0;
    String long_name "Absolute salinity at the depth of the mode water";
    String standard_name "sea_water_absolute_salinity";
    String units "g/kg";
  }
  GLOBAL_MWSIG0 {
    Float64 _FillValue -9999.0;
    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";
  }
  GLOBAL_MWPLPV {
    Float64 _FillValue -9999.0;
    Float64 colorBarMaximum 3.86747051361e-10;
    Float64 colorBarMinimum -3.35911542005e-10;
    String long_name "Planetary potential vorticity at the depth of the mode water";
    String units "m^-1 s^-1";
  }
  GLOBAL_MWBFRQ {
    Float64 _FillValue -9999.0;
    Float64 colorBarMaximum 8.68059429189e-5;
    Float64 colorBarMinimum 1.01318300346e-6;
    String long_name "Brunt-Vaisala frequency squared at the depth of the mode water";
    String units "s^-2";
  }
  NC_GLOBAL {
    String cdm_data_type "Grid";
    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 "charlene";
    String CreationDate "2018/12/07 07:48:33";
    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. Thermohaline computing using gsw oceanographic toolbox";
    Float64 Easternmost_Easting 129.844;
    Float64 geospatial_lat_max 64.358;
    Float64 geospatial_lat_min -61.642;
    Float64 geospatial_lat_resolution 1.0;
    String geospatial_lat_units "degrees_north";
    Float64 geospatial_lon_max 129.844;
    Float64 geospatial_lon_min -242.156;
    Float64 geospatial_lon_resolution 1.0;
    String geospatial_lon_units "degrees_east";
    String GLOBAL_Comment "Global Ocean";
    String history 
"OAC-P v1.0
2021-12-02T00:46:42Z (local files)
2021-12-02T00:46:42Z http://www.ifremer.fr/griddap/OACP-Argo-Clim.das";
    String IND_Comment "South Indian Ocean";
    String infoUrl "https://doi.org/10.17882/56503";
    String institution "LOPS/Ifremer";
    String keywords "2000-2015, absolute, bottom, brunt, brunt-vaisala, climatology, conservative, data, density, depth, direction, earth, Earth Science > Oceans >\\n\\t\\tSalinity/Density > Density, Earth Science > Oceans > Ocean Temperature >\\n\\t\\tPotential Temperature, Earth Science > Oceans > Ocean Temperature > Water Temperature, Earth Science > Oceans > Ocean Waves > Wave Speed/Direction, Earth Science > Oceans > Salinity/Density > Salinity, error, estimate, exploitation, francais, frequency, global, GLOBAL/latitude, GLOBAL/longitude, GLOBAL/MWABSAL, GLOBAL/MWBFRQ, GLOBAL/MWCONSTEMP, GLOBAL/MWD, GLOBAL/MWH, GLOBAL/MWPLPV, GLOBAL/MWPOTTEMP, GLOBAL/MWPSAL, GLOBAL/MWSIG0, GLOBAL/MWTEMP, GLOBAL/PPABSAL, GLOBAL/PPBFRQ, GLOBAL/PPCONSTEMP, GLOBAL/PPD, GLOBAL/PPD_er, GLOBAL/PPH, GLOBAL/PPH_er, GLOBAL/PPHBTO, GLOBAL/PPHBTO_er, GLOBAL/PPHTOP, GLOBAL/PPHTOP_er, GLOBAL/PPPLPV, GLOBAL/PPPOTTEMP, GLOBAL/PPPSAL, GLOBAL/PPSIG0, GLOBAL/PPTEMP, ifremer, institut, lops, mer, mode, ocean, oceans, permanent, planetary, potential, pour, practical, properties, pycnocline, recherche, referenced, salinity, science, sea, sea_surface_wave_to_direction, sea_water_absolute_salinity, sea_water_density, sea_water_potential_temperature, sea_water_practical_salinity, sea_water_temperature, seawater, speed, squared, 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 "Global 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 4 points values.";
    String NATL_Comment "North Atlantic Ocean";
    Float64 Northernmost_Northing 64.358;
    String NPAC_Comment "North Pacific Ocean";
    String references "C. Feucher, G. Maze, and H. Mercier, 2018: Subtropical Mode Waters and Permanent Pycnocline properties in the World Ocean. JGR: Oceans.";
    String SATL_Comment "South Atlantic Ocean";
    String source "OAC-P v1.0";
    String sourceUrl "(local files)";
    Float64 Southernmost_Northing -61.642;
    String SPAC_Comment "South Pacific Ocean";
    String standard_name_vocabulary "CF Standard Name Table v29";
    String summary "Maps of properties from OAC-P estimates. Thermohaline computing using gsw oceanographic toolbox";
    String title "2000-2015 climatology of the Subtropical Mode Waters and Permanent Pycnocline properties in the World Ocean";
    String version "1.0";
    Float64 Westernmost_Easting -242.156;
  }
}

 

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/jplMURSST.htmlTable?analysed_sst[(2015-06-09T09:00:00Z)][(-89.9945):1000:(89.9945)][(-179.995):1000:(179.995)]
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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