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Dataset Title:  SDC_NorthAtlanticOcean_Climatology_TS_V2_050_monthly Subscribe RSS
Institution:  SeaDataNet   (Dataset ID: SDC_NAT_CLIM_TS_V2_050_m)
Information:  Summary ? | License ? | FGDC | ISO 19115 | Metadata | Background (external link) | Make a graph
 
Dimensions ? Start ? Stride ? Stop ?  Size ?    Spacing ?
 time (UTC) ?      84    268 days 1h 26m 45s (uneven)
  < slider >
 depth (m) ?      65    31.25 (uneven)
  < slider >
 latitude (degrees_north) ?      111    0.5 (even)
  < slider >
 longitude (degrees_east) ?      211    0.5 (even)
  < slider >
 
Grid Variables (which always also download all of the dimension variables)
 Temperature (sea water temperature, degrees C) ?
 Temperature_err (sea_water_temperature, degrees C) ?
 Temperature_L1 (sea water temperature masked using relative error threshold 0.3, degrees C) ?
 Temperature_L2 (sea water temperature masked using relative error threshold 0.5, degrees C) ?
 Temperature_relerr (Relative error of sea water temperature, degrees C) ?
 Temperature_databins ?
 Temperature_outlbins ?
 Temperature_CLfield ?
 Salinity (per mille) ?
 Salinity_err (sea_water_salinity, per mille) ?
 Salinity_L1 (Salinity masked using relative error threshold 0.3, per mille) ?
 Salinity_L2 (Salinity masked using relative error threshold 0.5, per mille) ?
 Salinity_relerr (Relative error of Salinity, per mille) ?
 Salinity_databins ?
 Salinity_outlbins ?
 Salinity_CLfield ?

File type: (more info)

(Documentation / Bypass this form) ?
 
(Please be patient. It may take a while to get the data.)


 

The Dataset Attribute Structure (.das) for this Dataset

Attributes {
  time {
    Int32 _ChunkSizes 84;
    String _CoordinateAxisType "Time";
    Float64 actual_range -5.036256e+8, 1.418688e+9;
    String axis "T";
    String calendar "standard";
    String climatology "climatology_bounds";
    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 {
    Int32 _ChunkSizes 65;
    String _CoordinateAxisType "Height";
    String _CoordinateZisPositive "down";
    Float64 actual_range 0.0, 2000.0;
    String axis "Z";
    String ioos_category "Location";
    String long_name "Depth";
    String positive "down";
    String standard_name "depth";
    String units "m";
  }
  latitude {
    Int32 _ChunkSizes 111;
    String _CoordinateAxisType "Lat";
    Float64 actual_range 10.0, 65.0;
    String axis "Y";
    String ioos_category "Location";
    String long_name "Latitude";
    String standard_name "latitude";
    String units "degrees_north";
  }
  longitude {
    Int32 _ChunkSizes 211;
    String _CoordinateAxisType "Lon";
    Float64 actual_range -95.0, 10.0;
    String axis "X";
    String ioos_category "Location";
    String long_name "Longitude";
    String standard_name "longitude";
    String units "degrees_east";
  }
  Temperature {
    Int32 _ChunkSizes 1, 1, 100, 100;
    Float32 _FillValue -99.0;
    String cell_methods "time: mean within years time: mean over years";
    Float32 colorBarMaximum 40.0;
    Float32 colorBarMinimum -10.0;
    String long_name "sea water temperature";
    Float32 missing_value 9.96921e+36;
    String sdn_parameter_urn "SDN:P02::TEMP";
    String standard_name "sea_water_temperature";
    String units "degrees C";
  }
  Temperature_err {
    Float32 _FillValue -99.0;
    Float32 colorBarMaximum 40.0;
    Float32 colorBarMinimum -10.0;
    String standard_name "sea_water_temperature";
    String units "degrees C";
  }
  Temperature_L1 {
    Int32 _ChunkSizes 1, 1, 100, 100;
    Float32 _FillValue -99.0;
    Float32 colorBarMaximum 40.0;
    Float32 colorBarMinimum -10.0;
    String long_name "sea water temperature masked using relative error threshold 0.3";
    Float32 missing_value 9.96921e+36;
    String standard_name "sea_water_temperature";
    String units "degrees C";
  }
  Temperature_L2 {
    Int32 _ChunkSizes 1, 1, 100, 100;
    Float32 _FillValue -99.0;
    Float32 colorBarMaximum 40.0;
    Float32 colorBarMinimum -10.0;
    String long_name "sea water temperature masked using relative error threshold 0.5";
    Float32 missing_value 9.96921e+36;
    String standard_name "sea_water_temperature";
    String units "degrees C";
  }
  Temperature_relerr {
    Int32 _ChunkSizes 1, 1, 100, 100;
    Float32 _FillValue -99.0;
    Float32 colorBarMaximum 40.0;
    Float32 colorBarMinimum -10.0;
    String long_name "Relative error of sea water temperature";
    Float32 missing_value 9.96921e+36;
    String standard_name "sea_water_temperature";
    String units "degrees C";
    Float32 valid_max 1.0;
    Float32 valid_min 0.0;
  }
  Temperature_databins {
  }
  Temperature_outlbins {
  }
  Temperature_CLfield {
  }
  Salinity {
    Int32 _ChunkSizes 1, 1, 100, 100;
    Float32 _FillValue -99.0;
    String cell_methods "time: mean within years time: mean over years";
    Float32 colorBarMaximum 37.0;
    Float32 colorBarMinimum 32.0;
    String long_name "Salinity";
    Float32 missing_value 9.96921e+36;
    String sdn_parameter_urn "SDN:P02::PSAL";
    String standard_name "sea_water_salinity";
    String units "per mille";
  }
  Salinity_err {
    Float32 _FillValue -99.0;
    Float32 colorBarMaximum 37.0;
    Float32 colorBarMinimum 32.0;
    String standard_name "sea_water_salinity";
    String units "per mille";
  }
  Salinity_L1 {
    Int32 _ChunkSizes 1, 1, 100, 100;
    Float32 _FillValue -99.0;
    Float32 colorBarMaximum 37.0;
    Float32 colorBarMinimum 32.0;
    String long_name "Salinity masked using relative error threshold 0.3";
    Float32 missing_value 9.96921e+36;
    String standard_name "sea_water_salinity";
    String units "per mille";
  }
  Salinity_L2 {
    Int32 _ChunkSizes 1, 1, 100, 100;
    Float32 _FillValue -99.0;
    Float32 colorBarMaximum 37.0;
    Float32 colorBarMinimum 32.0;
    String long_name "Salinity masked using relative error threshold 0.5";
    Float32 missing_value 9.96921e+36;
    String standard_name "sea_water_salinity";
    String units "per mille";
  }
  Salinity_relerr {
    Int32 _ChunkSizes 1, 1, 100, 100;
    Float32 _FillValue -99.0;
    Float32 colorBarMaximum 37.0;
    Float32 colorBarMinimum 32.0;
    String long_name "Relative error of Salinity";
    Float32 missing_value 9.96921e+36;
    String standard_name "sea_water_salinity";
    String units "per mille";
    Float32 valid_max 1.0;
    Float32 valid_min 0.0;
  }
  Salinity_databins {
  }
  Salinity_outlbins {
  }
  Salinity_CLfield {
  }
  NC_GLOBAL {
    String abstract "Moving 10-years analysis of Temperature at Atlantic Sea. Every year of the time dimension corresponds to the 10-years centred average of the month.10-years periods span from 1950-1959 until 2010-2019. Observational data span from 1950 to 2019. Depth levels : 65 levels from surface to -2000m. 5 m resolution between the surface and -100m, then 25m resolution down to -500m, 50m down to -2000m.  Data Sources: observational data from SeaDataNet/CORA Data Network. Description of DIVAnd analysis: Geostatistical data analysis by DIVAnd (Data-Interpolating Variational Analysis) tool. GEBCO 30s topography is used for the contouring preparation.";
    String acknowledgement "...";
    String Acknowledgements "EC H2020 grant #730960 SeaDataCloud";
    String area_keywords "North Atlantic Ocean";
    String area_keywords_urn "SDN:C19::1";
    String Author_e-mail "christine.coatanoan@ifremer.fr";
    String bathymetry_source "The GEBCO Digital Atlas published by the British Oceanographic Data Centre on behalf of IOC and IHO, 2003";
    String cdm_data_type "Grid";
    String Conventions "CF-1.6, COARDS, ACDD-1.3";
    String creator_name "IFREMER/IDM/SISMER";
    String data_access "http://sdn.oceanbrowser.net/data/web-vis/";
    String date "2020-12-10T09:09:35";
    String defaultGraphQuery "Temperature[last][last]";
    String documentation "Link to PIDoc https://dx.doi.org/doi_of_doc";
    String doi "https://doi.org/10.12770/1b6d60ea-8b08-44df-8f47-671b32d9d580";
    Float64 Easternmost_Easting 10.0;
    String file_name "SDC_NAT_CLIM_T_1950_2019_050_m.nc";
    Float64 geospatial_lat_max 65.0;
    Float64 geospatial_lat_min 10.0;
    Float64 geospatial_lat_resolution 0.5;
    String geospatial_lat_units "degrees_north";
    Float64 geospatial_lon_max 10.0;
    Float64 geospatial_lon_min -95.0;
    Float64 geospatial_lon_resolution 0.5;
    String geospatial_lon_units "degrees_east";
    String history 
"Observational data from SeaDataNet,CORA 5.1 Data Network
2021-12-02T00:34:08Z (local files)
2021-12-02T00:34:08Z http://www.ifremer.fr/erddap/griddap/SDC_NAT_CLIM_TS_V2_050_m.das";
    String infoUrl "https://doi.org/10.12770/1b6d60ea-8b08-44df-8f47-671b32d9d580";
    String institution "SeaDataNet";
    String institution_urn "SDN:EDMO::486";
    String keywords "analysis, bins, CLfield, correlation, data, databins, depth, deviation, diva, error, exploitation, field, francais, idm, ifremer, institut, length, logarithm10, masked, mer, number, outlbins, outliers, pour, recherche, relative, sismer, standard, temperature, Temperature_err, Temperature_L1, Temperature_L2, Temperature_relerr, threshold, time, using";
    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.";
    Float64 Northernmost_Northing 65.0;
    String parameter_keyword "ITS-90 water temperature";
    String parameter_keyword_urn "SDN:P35::WATERTEMP";
    String product_code "SISMER-North Atlantic Ocean-ITS-90 water temperature-1.0-ANA";
    String product_id "6c2a9292-3ac7-11eb-2871-bb146d043a5e";
    String product_version "1.0";
    String project "SeaDataCloud";
    String search_keywords "Temperature of the water column";
    String search_keywords_urn "SDN:P02::TEMP";
    String source "observational data from SeaDataNet and CORA";
    String sourceUrl "(local files)";
    Float64 Southernmost_Northing 10.0;
    String standard_name_vocabulary "CF Standard Name Table v55";
    String summary "The SDC_NAT_CLIM_TS_V2 product contains Temperature and Salinity Climatologies for the North Atlantic Ocean including the seasonal and monthly fields for period 1950-2019 and seasonal fields for 6 decades starting from 1950 to 2019. 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 "2014-12-16T00:00:00Z";
    String time_coverage_start "1954-01-16T00:00:00Z";
    String title "SDC_NorthAtlanticOcean_Climatology_TS_V2_050_monthly";
    String WEB_visualisation "http://sdn.oceanbrowser.net/web-vis/";
    Float64 Westernmost_Easting -95.0;
  }
}

 

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/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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