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Dataset Title:  Arctic Ocean, DIVAnd 4D 6-year seasonal analysis of Water body phosphate 1965/
2017 v2023 [time][lat][lon], 0.1°, 1967-2014
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Institution:  Institute of Marine Research   (Dataset ID: V2023_chemistry_4504_8b50_a986)
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 -9.33984e+7, 1.4134176e+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";
  }
  latitude {
    String _CoordinateAxisType "Lat";
    Float64 actual_range 62.0, 83.5;
    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 -42.0, 54.0;
    String axis "X";
    String ioos_category "Location";
    String long_name "Longitude";
    String standard_name "longitude";
    String units "degrees_east";
  }
  Water_body_phosphate_deepest {
    Float32 _FillValue 9.96921e+36;
    Float64 colorBarMaximum 4.0;
    Float64 colorBarMinimum 0.0;
    String ioos_category "Dissolved Nutrients";
    String long_name "Deepest values of Water body phosphate";
    Float32 missing_value 9.96921e+36;
    String standard_name "mole_concentration_of_phosphate_in_sea_water";
    String units "umol/l";
  }
  NC_GLOBAL {
    String abstract "Moving 6-year analysis of phosphate in the Arctic Ocean, for each season in the period 1965-2017. Every year of the time dimension corresponds to the 6-year centered average for each season. Winter: December-February, Spring: March-May, Summer: June-August, Autumn: September-November. Depth range (IODE standard depths): 0, 5, 10, 20, 30, 40, 50, 75, 100, 125, 150, 200, 250, 300, 400, ..., 1500, 1750, 2000, 2500m. Units: umol/l. Description of DIVA analysis: The computation was done with DIVAnd (Data-Interpolating Variational Analysis in n dimensions), version 2.7.9, using GEBCO 30sec topography for the spatial connectivity of water masses. The horizontal resolution of the produced DIVAnd maps grids is 0.1 degrees.  Signal-to-noise ratio was fixed to 3.0, horizontal correlation length varying from 45 km near the coast to 150 km, and vertical correlation length varying between 25 and 1000 m. Logarithmic transformation is applied to the data prior to the analysis. Background field: analysis with signal-to-noise ratio = 10, horizontal correlation length 60-200 km, and vertical correlation length 25-1000 m.";
    String Acknowledgements "Aggregated data products are generated by EMODnet Chemistry under the support of DG MARE Call for Tenders EASME/2020/OP/0006 (EASME/EMFF/2020/3.1.11/Lot 5/SI2.846161)";
    String area_keywords "Arctic Ocean";
    String area_keywords_urn "SDN:C19::9";
    String Author_e_mail "Ann.Kristin.Ostrem@imr.no, Helge.Sagen@imr.no";
    String bathymetry_source "The GEBCO 30sec Digital Atlas published by the British Oceanographic Data Centre on behalf of IOC and IHO, 2003";
    String cdm_data_type "Grid";
    String citation "Usage is subject to mandatory citation: \"This resource was generated in the framework of EMODnet Chemistry, under the support of DG MARE Call for Tender EASME/EMFF/2020/3.1.11/European Marine Observation and Data Network (EMODnet) - Lot 5 - Chemistry\"";
    String Conventions "CF-1.8, COARDS, ACDD-1.3";
    String creator_name "Institute of Marine Research";
    String creator_url "http://opendap.oceanbrowser.net/thredds/dodsC/data/emodnet-projects/v2023/By_sea_regions/Arctic_Ocean/Water_body_phosphate.4Danl.nc.html";
    String date "2023-05-12T18:06:54";
    String DIVAnd_code_doi "https://doi.org/10.5281/zenodo.7016823";
    String DIVAnd_references "Barth, A.; Beckers, J.-M.; Troupin, C.; Alvera-Azcarate, A. & Vandenbulcke, L. divand-1.0: n-dimensional variational data analysis for ocean observations. Geoscientific Model Development, 2014, 7, 225-241. DOI:10.5194/gmd-7-225-2014";
    String DIVAnd_source "https://github.com/gher-uliege/DIVAnd.jl";
    String DIVAnd_version "2.7.9";
    String documentation "10.13120/FA5C704A-A5EA-4F60-91B5-2BF6A7ADED45";
    String doi "https://doi.org/10.13120/e871c976-9c5c-467b-842a-47d198bc053f";
    Float64 Easternmost_Easting 54.0;
    String file_name "By_sea_region/Arctic_Ocean/Water_body_phosphate.4Danl.nc";
    Float64 geospatial_lat_max 83.5;
    Float64 geospatial_lat_min 62.0;
    Float64 geospatial_lat_resolution 0.1;
    String geospatial_lat_units "degrees_north";
    Float64 geospatial_lon_max 54.0;
    Float64 geospatial_lon_min -42.0;
    Float64 geospatial_lon_resolution 0.1;
    String geospatial_lon_units "degrees_east";
    String history 
"Fri Dec  1 11:59:23 2023: ncatted -a DIVA_references,global,d,, Water_body_phosphate.4Danl.nc
Tue Aug 29 17:12:55 2023: ncks -O Water_body_phosphate.4Danl.nc Water_body_phosphate.4Danl.nc
2024-05-19T11:55:12Z http://opendap.oceanbrowser.net/thredds/dodsC/data/emodnet-projects/v2023/By_sea_regions/Arctic_Ocean/Water_body_phosphate.4Danl.nc
2024-05-19T11:55:12Z https://erddap.emodnet.eu/griddap/V2023_chemistry_4504_8b50_a986.das";
    String id "DatasetScan/emodnet-projects/v2023/By_sea_regions/Arctic_Ocean/Water_body_phosphate.4Danl.nc";
    String infoUrl "http://opendap.oceanbrowser.net/thredds/dodsC/data/emodnet-projects/v2023/By_sea_regions/Arctic_Ocean/Water_body_phosphate.4Danl.nc.html";
    String institution "Institute of Marine Research";
    String institution_urn "SDN:EDMO::1351";
    String keywords "6-year, analysis, arctic, body, chemistry, concentration, data, deepest, dissolved, dissolved nutrients, divand, earth, Earth Science > Oceans > Ocean Chemistry > Phosphate, error, exchange, institute, international, iode, latitude, longitude, marine, masked, mole, mole_concentration_of_phosphate_in_sea_water, nutrients, ocean, oceanographic, oceans, phosphate, po4, relative, research, science, sea, seasonal, seawater, statistics, threshold, time, using, v2023, values, water, Water_body_phosphate_deepest, Water_body_phosphate_deepest_L1, Water_body_phosphate_deepest_L2, year";
    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 NCO "netCDF Operators version 4.9.9 (Homepage = http://nco.sf.net, Code = https://github.com/nco/nco)";
    Float64 Northernmost_Northing 83.5;
    String parameter_keyword "Water body phosphate";
    String parameter_keyword_urn "SDN:P35::EPC00007";
    String product_code "Arctic-Water_body_phosphate-v2023-ANA";
    String product_id "e871c976-9c5c-467b-842a-47d198bc053f";
    String product_version "2.0";
    String project "EMODNET Chemistry - Phase 5";
    String search_keywords "Phosphate concentration parameters in the water column";
    String search_keywords_urn "SDN:P02::PHOS";
    String source "Observational data from SeaDataNet/EMODnet Chemistry Data Network";
    String sourceUrl "http://opendap.oceanbrowser.net/thredds/dodsC/data/emodnet-projects/v2023/By_sea_regions/Arctic_Ocean/Water_body_phosphate.4Danl.nc";
    Float64 Southernmost_Northing 62.0;
    String standard_name_vocabulary "CF Standard Name Table v70";
    String summary "Arctic Ocean - DIVAnd 4D 6-year seasonal analysis of Water body phosphate 1965/2017 v2023. Moving 6-year analysis of phosphate in the Arctic Ocean, for each season in the period 1965-2017. Every year of the time dimension corresponds to the 6-year centered average for each season. Winter: December-February, Spring: March-May, Summer: June-August, Autumn: September-November. Depth range (International Oceanographic Data Exchange (IODE) standard depths): 0, 5, 10, 20, 30, 40, 50, 75, 100, 125, 150, 200, 250, 300, 400, ..., 1500, 1750, 2000, 2500m. Units: umol/l. Description of DIVA analysis: The computation was done with DIVAnd (Data-Interpolating Variational Analysis in n dimensions), version 2.7.9, using GEBCO 30sec topography for the spatial connectivity of water masses. The horizontal resolution of the produced DIVAnd maps grids is 0.1 degrees.  Signal-to-noise ratio was fixed to 3.0, horizontal correlation length varying from 45 km near the coast to 150 km, and vertical correlation length varying between 25 and 1000 m. Logarithmic transformation is applied to the data prior to the analysis. Background field: analysis with signal-to-noise ratio = 10, horizontal correlation length 60-200 km, and vertical correlation length 25-1000 m.";
    String time_coverage_end "2014-10-16T00:00:00Z";
    String time_coverage_start "1967-01-16T00:00:00Z";
    String title "Arctic Ocean, DIVAnd 4D 6-year seasonal analysis of Water body phosphate 1965/2017 v2023 [time][lat][lon], 0.1°, 1967-2014";
    Float64 Westernmost_Easting -42.0;
  }
}

 

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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