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Dataset Title:  SDC_BlackSea_Climatology_TS_V1_seasonal Subscribe RSS
Institution:  SeaDataNet   (Dataset ID: SDC_BLS_CLIM_TS_V1_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 {
    Int32 _ChunkSizes 36;
    String _CoordinateAxisType "Time";
    Float64 actual_range -3.431808e+8, 1.3214016e+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 67;
    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 52;
    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 {
    Int32 _ChunkSizes 116;
    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";
  }
  ITS_90_water_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";
  }
  ITS_90_water_temperature_L1 {
    Float32 _FillValue 9.96921e+36;
    Float64 colorBarMaximum 32.0;
    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";
  }
  ITS_90_water_temperature_L2 {
    Float32 _FillValue 9.96921e+36;
    Float64 colorBarMaximum 32.0;
    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";
  }
  ITS_90_water_temperature_relerr {
    Int32 _ChunkSizes 1, 1, 52, 100;
    Float32 _FillValue 9.96921e+36;
    Float32 colorBarMaximum 1.0;
    Float32 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;
  }
  Water_body_salinity {
    Int32 _ChunkSizes 1, 1, 52, 100;
    Float32 _FillValue 9.96921e+36;
    String cell_methods "time: mean within years time: mean over years";
    Float64 colorBarMaximum 40.0;
    Float64 colorBarMinimum 0.0;
    String long_name "Water_body_salinity";
    Float32 missing_value 9.96921e+36;
    String standard_name "water_body_salinity";
    String units "1e-3";
  }
  Water_body_salinity_L1 {
    Int32 _ChunkSizes 1, 1, 52, 100;
    Float32 _FillValue 9.96921e+36;
    Float64 colorBarMaximum 40.0;
    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";
  }
  Water_body_salinity_L2 {
    Int32 _ChunkSizes 1, 1, 52, 100;
    Float32 _FillValue 9.96921e+36;
    Float64 colorBarMaximum 40.0;
    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";
  }
  Water_body_salinity_relerr {
    Int32 _ChunkSizes 1, 1, 52, 100;
    Float32 _FillValue 9.96921e+36;
    Float64 colorBarMaximum 1.0;
    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_V1 product contains Temperature and Salinity Climatologies for Black Sea including the seasonal and monthly fields for period 1955-2017 and seasonal fields for 6 decades starting from 1955 to 2014. 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 2018, and 3) Coriolis Ocean Dataset for Reanalysis. The computation was done with the DIVAnd (Data-Interpolating Variational Analysis in n dimensions), version 2.3.1.";
    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 "The 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 data_access "http://sdn.oceanbrowser.net/data/SeaDataCloud-domains";
    String date "2019-06-10T13:50:34";
    String documentation "Link to PIDoc https://dx.doi.org/doi_of_doc";
    String doi "https://dx.doi.org/10.12770/ad2d0efc-7191-4949-8092-796397106290";
    Float64 Easternmost_Easting 41.875;
    String file_name "../results/SDC_BLS_CLIM_T_1955_2017_0125_monthly_01_01_20_30.4Danl.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 
"2021-12-02T00:30:58Z (local files)
2021-12-02T00:30:58Z http://www.ifremer.fr/griddap/SDC_BLS_CLIM_TS_V1_s.das";
    String infoUrl "https://dx.doi.org/10.12770/ad2d0efc-7191-4949-8092-796397106290";
    String institution "SeaDataNet";
    String institution_urn "SDN:EDMO::696";
    String keywords "analysis, data, depth, diva, earth, Earth Science > Oceans > Ocean Temperature > Water Temperature, error, geofisica, insitu, istituto, its, its-90, masked, nazionale, ocean, oceans, relative, science, sea, sea_water_temperature, seawater, sede, temperature, Temperature_L1, Temperature_L2, Temperature_relerr, threshold, time, using, vulcanologia, water";
    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_V1";
    String product_id "92e1a71e-8b6d-11e9-0cdf-2f5f147936f3";
    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 infrastructure, WOD 2018, CORA 5.1";
    String sourceUrl "(local files)";
    Float64 Southernmost_Northing 40.875;
    String standard_name_vocabulary "CF Standard Name Table v55";
    String summary "The SDC_BLS_CLIM_TS_V1 product contains Temperature and Salinity Climatologies for Black Sea including the seasonal and monthly fields for period 1955-2017 and seasonal fields for 6 decades starting from 1955 to 2014. 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 2018, and 3) Coriolis Ocean Dataset for Reanalysis. The computation was done with the DIVAnd (Data-Interpolating Variational Analysis in n dimensions), version 2.3.1.";
    String time_coverage_end "2011-11-16T00:00:00Z";
    String time_coverage_start "1959-02-16T00:00:00Z";
    String title "SDC_BlackSea_Climatology_TS_V1_seasonal";
    String WEB_visualisation "http://sdn.oceanbrowser.net/web-vis/";
    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/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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