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Dataset Title:  SDC_BlackSea_Climatology_TS_V2_monthly Subscribe RSS
Institution:  SeaDataNet   (Dataset ID: SDC_BLS_CLIM_TS_V2_m)
Information:  Summary ? | License ? | FGDC | ISO 19115 | Metadata | Background (external link) | Make a graph
 
Dimensions ? Start ? Stride ? Stop ?  Size ?    Spacing ?
 time (UTC) ?      36    353 days 21h 56m 34s (uneven)
  < slider >
 depth (m) ?      67    30.30303 (uneven)
  < slider >
 latitude (degrees_north) ?      52    0.125 (even)
  < slider >
 longitude (degrees_east) ?      116    0.125 (even)
  < slider >
 
Grid Variables (which always also download all of the dimension variables) 
 Temperature (ITS-90 water temperature, 1e-3) ?
 Temperature_L1 (ITS-90 water temperature masked using relative error threshold 0.3, 1e-3) ?
 Temperature_L2 (ITS-90 water temperature masked using relative error threshold 0.5, 1e-3) ?
 Temperature_relerr (Relative error of ITS-90 water temperature, 1) ?
 Salinity (Water_body_salinity, 1e-3) ?
 Salinity_L1 (Water_body_salinity masked using relative error threshold 0.3, 1e-3) ?
 Salinity_L2 (Water_body_salinity masked using relative error threshold 0.5, 1e-3) ?
 Salinity_relerr (Relative error of Water_body_salinity, 1) ?

File type: (more information)

(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 {
    String _CoordinateAxisType "Time";
    Float64 actual_range 1.275264e+8, 1.1977632e+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 {
    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 {
    String _CoordinateAxisType "Lat";
    Float64 actual_range 40.875, 47.25;
    String axis "Y";
    String ioos_category "Location";
    String long_name "Latitude";
    String standard_name "latitude";
    String units "degrees_north";
  }
  longitude {
    String _CoordinateAxisType "Lon";
    Float64 actual_range 27.5, 41.875;
    String axis "X";
    String ioos_category "Location";
    String long_name "Longitude";
    String standard_name "longitude";
    String units "degrees_east";
  }
  Temperature {
    Float32 _FillValue 9.96921e+36;
    String cell_methods "time: mean within years time: mean over years";
    Float64 colorBarMaximum 32.0;
    Float64 colorBarMinimum 0.0;
    String long_name "ITS-90 water temperature";
    Float32 missing_value 9.96921e+36;
    String standard_name "sea_water_temperature";
    String units "1e-3";
  }
  Temperature_L1 {
    Float32 _FillValue 9.96921e+36;
    Float64 colorBarMaximum 0.1;
    Float64 colorBarMinimum 0.0;
    String long_name "ITS-90 water temperature masked using relative error threshold 0.3";
    Float32 missing_value 9.96921e+36;
    String standard_name "sea_water_temperature";
    String units "1e-3";
  }
  Temperature_L2 {
    Float32 _FillValue 9.96921e+36;
    Float64 colorBarMaximum 0.1;
    Float64 colorBarMinimum 0.0;
    String long_name "ITS-90 water temperature masked using relative error threshold 0.5";
    Float32 missing_value 9.96921e+36;
    String standard_name "sea_water_temperature";
    String units "1e-3";
  }
  Temperature_relerr {
    Float32 _FillValue 9.96921e+36;
    Float64 colorBarMaximum 0.1;
    Float64 colorBarMinimum 0.0;
    String long_name "Relative error of ITS-90 water temperature";
    Float32 missing_value 9.96921e+36;
    String units "1";
    Float32 valid_max 1.0;
    Float32 valid_min 0.0;
  }
  Salinity {
    Float32 _FillValue 9.96921e+36;
    String cell_methods "time: mean within years time: mean over years";
    String long_name "Water_body_salinity";
    Float32 missing_value 9.96921e+36;
    String standard_name "water_body_salinity";
    String units "1e-3";
  }
  Salinity_L1 {
    Float32 _FillValue 9.96921e+36;
    Float64 colorBarMaximum 0.1;
    Float64 colorBarMinimum 0.0;
    String long_name "Water_body_salinity masked using relative error threshold 0.3";
    Float32 missing_value 9.96921e+36;
    String standard_name "water_body_salinity";
    String units "1e-3";
  }
  Salinity_L2 {
    Float32 _FillValue 9.96921e+36;
    Float64 colorBarMaximum 0.1;
    Float64 colorBarMinimum 0.0;
    String long_name "Water_body_salinity masked using relative error threshold 0.5";
    Float32 missing_value 9.96921e+36;
    String standard_name "water_body_salinity";
    String units "1e-3";
  }
  Salinity_relerr {
    Float32 _FillValue 9.96921e+36;
    Float64 colorBarMaximum 0.1;
    Float64 colorBarMinimum 0.0;
    String long_name "Relative error of Water_body_salinity";
    Float32 missing_value 9.96921e+36;
    String units "1";
    Float32 valid_max 1.0;
    Float32 valid_min 0.0;
  }
  NC_GLOBAL {
    String abstract 
"The SDC_BLS_CLIM_TS_V2 product contains Temperature and Salinity Climatologies for Black Sea 
    including the seasonal and monthly fields for period 1955-2019 and 2 subperiods, and the annual and seasonal fields 
    for 6 decades starting from 1955 to 2019.  The climatic fields were computed from the integrated Black Sea 
    dataset that combines data extracted from the 3 major sources: 
    1) SeaDataNet infrastructure, 2) World Ocean Database, and 3) Coriolis Ocean Dataset for Reanalysis. 
    The computation was done with the DIVAnd (Data-Interpolating Variational Analysis in n dimensions), version 2.6.4.";
    String acknowledgement "EC H2020 grant #730960 SeaDataCloud";
    String area_keywords "Black Sea";
    String area_keywords_urn "SDN:C19::3_3";
    String Author_e_mail "Volodymyr Myroshnychenko<volodymyr@ims.metu.edu.tr>";
    String bathymetry_source "GEBCO Digital Atlas published by the British Oceanographic Data Centre on behalf of IOC and IHO, 2003";
    String cdm_data_type "Grid";
    String comment "Duplicates removal and QC applied to the integrated dataset";
    String Conventions "CF-1.6, COARDS, ACDD-1.3";
    String creator_name "Institute of Marine Sciences, Middle East Technical University";
    String creator_type "institution";
    String date "2020-12-02T15:38:58";
    String documentation "Link to PIDoc https://dx.doi.org/doi_of_doc";
    String doi "https://doi.org/10.12770/847f1627-f39f-40af-b3b0-a2f6d29ff4dc/";
    Float64 Easternmost_Easting 41.875;
    String file_name "SDC_BLS_CLIM_T_1955_2019_0125_m.4Danl.nc";
    Float64 geospatial_lat_max 47.25;
    Float64 geospatial_lat_min 40.875;
    Float64 geospatial_lat_resolution 0.125;
    String geospatial_lat_units "degrees_north";
    Float64 geospatial_lon_max 41.875;
    Float64 geospatial_lon_min 27.5;
    Float64 geospatial_lon_resolution 0.125;
    String geospatial_lon_units "degrees_east";
    String history 
"Observational data from the SeaDataNet infrastructure, WOD, CORA
2024-11-21T09:01:53Z (local files)
2024-11-21T09:01:53Z https://erddap.ifremer.fr/erddap/griddap/SDC_BLS_CLIM_TS_V2_m.das";
    String infoUrl "https://doi.org/10.12770/847f1627-f39f-40af-b3b0-a2f6d29ff4dc";
    String institution "SeaDataNet";
    String institution_urn "SDN:EDMO::696";
    String keywords "analysis, data, database, depth, divand, earth, Earth Science > Oceans > Ocean Temperature > Water Temperature, east, error, institute, its, its-90, marine, masked, middle, ocean, oceans, relative, science, sciences, sea, sea_water_temperature, seawater, technical, temperature, Temperature_L1, Temperature_L2, Temperature_relerr, threshold, time, university, using, water, wod, world";
    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 47.25;
    String parameter_keyword "ITS-90 water temperature";
    String parameter_keyword_urn "SDN:P35::WATERTEMP";
    String product_code "SDC_BLS_CLIM_TS_V2";
    String product_id "592adf8a-349b-11eb-07cf-73cacaf0f5de";
    String product_version "2.0";
    String project "SeaDataCloud";
    String search_keywords "Temperature of the water column";
    String search_keywords_urn "SDN:P02::TEMP";
    String source "Observational data from the SeaDataNet infrastructure, WOD, CORA";
    String sourceUrl "(local files)";
    Float64 Southernmost_Northing 40.875;
    String standard_name_vocabulary "CF Standard Name Table v70";
    String summary 
"The SDC_BLS_CLIM_TS_V2 product contains Temperature and Salinity Climatologies for Black Sea 
        including the seasonal and monthly fields for period 1955-2019 and 2 subperiods, and the annual and seasonal fields 
        for 6 decades starting from 1955 to 2019.  The climatic fields were computed from the integrated Black Sea 
        dataset that combines data extracted from the 3 major sources: 
        1) SeaDataNet infrastructure, 2) World Ocean Database, and 3) Coriolis Ocean Dataset for Reanalysis. 
        The computation was done with the DIVAnd (Data-Interpolating Variational Analysis in n dimensions), version 2.6.4.";
    String time_coverage_end "2007-12-16T00:00:00Z";
    String time_coverage_start "1974-01-16T00:00:00Z";
    String title "SDC_BlackSea_Climatology_TS_V2_monthly";
    Float64 Westernmost_Easting 27.5;
  }
}

 

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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