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Dataset Title:  SDC_NorthAtlanticOcean_Climatology_TS_V1_050_seasonal Subscribe RSS
Institution:  SeaDataNet   (Dataset ID: SDC_NAT_CLIM_TS_V1_050_s)
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 {
  time {
    String _CoordinateAxisType "Time";
    Float64 actual_range -3.143232e+8, 1.2871872e+9;
    String axis "T";
    String calendar "standard";
    String ioos_category "Time";
    String long_name "Time";
    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";
    Float32 actual_range 0.0, 6000.0;
    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 10.0, 62.0;
    String axis "Y";
    String ioos_category "Location";
    String long_name "Latitude";
    String standard_name "latitude";
    String units "degrees_north";
  }
  longitude {
    String _CoordinateAxisType "Lon";
    Float32 actual_range -85.0, 12.0;
    String axis "X";
    String ioos_category "Location";
    String long_name "Longitude";
    String standard_name "longitude";
    String units "degrees_east";
  }
  Temperature {
    Float32 _FillValue -99.0;
    String cell_methods "time: mean within years time: mean over year";
    Float64 colorBarMaximum 40.0;
    Float64 colorBarMinimum -10.0;
    String long_name "Temperature";
    String units "degree_C";
  }
  Temperature_err {
    Float32 _FillValue -99.0;
    Float64 colorBarMaximum 5.0;
    Float64 colorBarMinimum 0.0;
    String long_name "Error standard deviation of Temperature";
    String units "degree_C";
  }
  Temperature_L1 {
    Float32 _FillValue -99.0;
    Float64 colorBarMaximum 5.0;
    Float64 colorBarMinimum 0.0;
    String long_name "Temperature masked using relative error threshold 0.3";
    String units "degree_C";
  }
  Temperature_L2 {
    Float32 _FillValue -99.0;
    Float64 colorBarMaximum 5.0;
    Float64 colorBarMinimum 0.0;
    String long_name "Temperature masked using relative error threshold 0.5";
    String units "degree_C";
  }
  Temperature_relerr {
    Float32 _FillValue -99.0;
    Float64 colorBarMaximum 50.0;
    Float64 colorBarMinimum 0.0;
    String long_name "Relative error of Temperature";
  }
  Temperature_databins {
    Float32 _FillValue -99.0;
    Float64 colorBarMaximum 100.0;
    Float64 colorBarMinimum 0.0;
    String long_name "Logarithm10 of number of data in bins";
  }
  Temperature_outlbins {
    Float32 _FillValue -99.0;
    Float64 colorBarMaximum 100.0;
    Float64 colorBarMinimum 0.0;
    String long_name "Logarithm10 of number of outliers data in bins";
  }
  Temperature_CLfield {
    Float32 _FillValue -99.0;
    String long_name "Correlation length field";
  }
  Salinity {
    Float32 _FillValue -99.0;
    String cell_methods "time: mean within years time: mean over year";
    Float64 colorBarMaximum 37.0;
    Float64 colorBarMinimum 32.0;
    String long_name "Salinity";
    String standard_name "sea_water_practical_salinity";
    String units "PSU";
  }
  Salinity_err {
    Float32 _FillValue -99.0;
    Float64 colorBarMaximum 50.0;
    Float64 colorBarMinimum 0.0;
    String long_name "Error standard deviation of Salinity";
    String units "per mille";
  }
  Salinity_L1 {
    Float32 _FillValue -99.0;
    Float64 colorBarMaximum 50.0;
    Float64 colorBarMinimum 0.0;
    String long_name "Salinity masked using relative error threshold 0.3";
    String units "per mille";
  }
  Salinity_L2 {
    Float32 _FillValue -99.0;
    Float64 colorBarMaximum 50.0;
    Float64 colorBarMinimum 0.0;
    String long_name "Salinity masked using relative error threshold 0.5";
    String units "per mille";
  }
  Salinity_relerr {
    Float32 _FillValue -99.0;
    Float64 colorBarMaximum 50.0;
    Float64 colorBarMinimum 0.0;
    String long_name "Relative error of Salinity";
  }
  Salinity_databins {
    Float32 _FillValue -99.0;
    Float64 colorBarMaximum 100.0;
    Float64 colorBarMinimum 0.0;
    String long_name "Logarithm10 of number of data in bins";
  }
  Salinity_outlbins {
    Float32 _FillValue -99.0;
    Float64 colorBarMaximum 100.0;
    Float64 colorBarMinimum 0.0;
    String long_name "Logarithm10 of number of outliers data in bins";
  }
  Salinity_CLfield {
    Float32 _FillValue -99.0;
    Float64 colorBarMaximum 37.0;
    Float64 colorBarMinimum 32.0;
    String long_name "Correlation length field";
    String standard_name "sea_water_practical_salinity";
    String units "PSU";
  }
  NC_GLOBAL {
    String abstract "The SDC_NAT_CLIM_TS_V1 product contains Temperature and Salinity Climatologies for the North Atlantic Ocean including the seasonal and monthly fields for period 1955-2015 and seasonal fields for 6 decades starting from 1955 to 2015. Two resolutions have been processed : 1/2° and 1/4°. The climatic fields were computed from the integrated North Atlantic Ocean dataset that combines data extracted from the 2 major sources: SeaDataNet infrastructure and Coriolis Ocean Dataset for Reanalysis (CORA). The computation was done with the DIVA software, version 4.7.2.";
    String Acknowledgements "EC H2020 grant #730960 SeaDataCloud";
    String area_keyword "North Atlantic Ocean";
    String area_keyword_urn "SDN:C19::1";
    String Author_e_mail "Christine.Coatanoan@ifremer.fr delphine.leroy@ifremer.fr";
    String CDI "Climate Data Interface version 1.5.4 (http://code.zmaw.de/projects/cdi)";
    String cdm_data_type "Grid";
    String CDO "Climate Data Operators version 1.5.4 (http://code.zmaw.de/projects/cdo)";
    String comment "Duplicates removal and QC applied to the integrated dataset";
    String Conventions "CF-1.6, COARDS, ACDD-1.3";
    String creator_name "IFREMER/IDM/SISMER";
    String creator_type "institution";
    String creator_url "https://wwz.ifremer.fr/";
    String data_access "http://sdn.oceanbrowser.net/data/web-vis/";
    String date "2019-06-19 09:42:04.00";
    String documentation "Link to PIDoc https://dx.doi.org/doi_of_doc";
    String doi "http://dw.doi.org/10.12770/870adf31-3d29-4de9-a102-af0fa1b0ef11";
    Float64 Easternmost_Easting 12.0;
    String file_name "SDC_NAT_CLIM_T_2005_2015_050_seasonal.nc";
    Float64 geospatial_lat_max 62.0;
    Float64 geospatial_lat_min 10.0;
    Float64 geospatial_lat_resolution 0.5;
    String geospatial_lat_units "degrees_north";
    Float64 geospatial_lon_max 12.0;
    Float64 geospatial_lon_min -85.0;
    Float64 geospatial_lon_resolution 0.5;
    String geospatial_lon_units "degrees_east";
    String history 
"Thu Apr 02 14:53:29 2020: cdo -O setreftime,1900-01-01,00:00:00,seconds SDC_NAT_CLIM_T_2005_2015_050_seasonal.nc.tmp SDC_NAT_CLIM_T_2005_2015_050_seasonal.nc
Thu Apr  2 14:51:54 2020: ncrename -v CLfield,Temperature_CLfield SDC_NAT_CLIM_T_2005_2015_050_seasonal.nc.tmp
Thu Apr  2 14:50:17 2020: ncrename -v outlbins,Temperature_outlbins SDC_NAT_CLIM_T_2005_2015_050_seasonal.nc.tmp
Thu Apr  2 14:48:44 2020: ncrename -v databins,Temperature_databins SDC_NAT_CLIM_T_2005_2015_050_seasonal.nc.tmp
2024-12-11T09:39:50Z (local files)
2024-12-11T09:39:50Z https://erddap.ifremer.fr/griddap/SDC_NAT_CLIM_TS_V1_050_s.das";
    String infoUrl "https://doi.org/10.13155/57037";
    String institution "SeaDataNet";
    String institution_urn "SDN:EDMO::486";
    String keywords "analysis, bins, correlation, data, depth, deviation, diva, error, exploitation, field, francais, idm, ifremer, institut, length, logarithm10, masked, mer, number, outliers, pour, recherche, relative, sismer, standard, temperature, Temperature_CLfield, Temperature_databins, Temperature_err, Temperature_L1, Temperature_L2, Temperature_outlbins, Temperature_relerr, threshold, time, using";
    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.";
    Float64 Northernmost_Northing 62.0;
    String parameter_keyword "ITS-90 water temperature";
    String parameter_keyword_urn "SDN:P35::WATERTEMP";
    String product_code "SDC_NAT_CLIM_T_2005_2015_050_seasonal";
    String product_version "1.0";
    String production "Diva group";
    String project "SeaDataCloud";
    String search_keyword "Temperature of the water column";
    String search_keyword_urn "SDN:P02::TEMP";
    String sourceUrl "(local files)";
    Float64 Southernmost_Northing 10.0;
    String standard_name_vocabulary "CF Standard Name Table v70";
    String summary "The SDC_NAT_CLIM_TS_V1 product contains Temperature and Salinity Climatologies for the North Atlantic Ocean including the seasonal and monthly fields for period 1955-2015 and seasonal fields for 6 decades starting from 1955 to 2015. Two resolutions have been processed : 1/2° and 1/4°. The climatic fields were computed from the integrated North Atlantic Ocean dataset that combines data extracted from the 2 major sources: SeaDataNet infrastructure and Coriolis Ocean Dataset for Reanalysis (CORA). The computation was done with the DIVA software, version 4.7.2.";
    String time_coverage_end "2010-10-16T00:00:00Z";
    String time_coverage_start "1960-01-16T00:00:00Z";
    String title "SDC_NorthAtlanticOcean_Climatology_TS_V1_050_seasonal";
    String WEB_visualisation "http://gher-diva.phys.ulg.ac.be/web-vis/clim.html";
    Float64 Westernmost_Easting -85.0;
  }
}

 

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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