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Dataset Title:  Mediterranean Sea, Po River, Water body phosphate (DIVAnd analysis of Water
body phosphate) [time][depth][lat][lon], 0.009deg, 1989
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Institution:  HCMR/HNODC   (Dataset ID: Po_River_PO_4D_75c4_4094_e91e)
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 6.035904e+8, 6.271776e+8;
    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, 70.0;
    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 44.0, 45.998;
    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 12.0, 13.998;
    String axis "X";
    String ioos_category "Location";
    String long_name "Longitude";
    String standard_name "longitude";
    String units "degrees_east";
  }
  Water_body_phosphate {
    Float32 _FillValue 9.96921e+36;
    String cell_methods "time: mean within years time: mean over years";
    String long_name "Water body phosphate";
    Float32 missing_value 9.96921e+36;
    String standard_name "water_body_phosphate";
    String units "umol/l";
  }
  Water_body_phosphate_L1 {
    Float32 _FillValue 9.96921e+36;
    Float64 colorBarMaximum 50.0;
    Float64 colorBarMinimum 0.0;
    String long_name "Water body phosphate masked using relative error threshold 0.3";
    Float32 missing_value 9.96921e+36;
    String standard_name "water_body_phosphate";
    String units "umol/l";
  }
  Water_body_phosphate_L2 {
    Float32 _FillValue 9.96921e+36;
    Float64 colorBarMaximum 50.0;
    Float64 colorBarMinimum 0.0;
    String long_name "Water body phosphate masked using relative error threshold 0.5";
    Float32 missing_value 9.96921e+36;
    String standard_name "water_body_phosphate";
    String units "umol/l";
  }
  Water_body_phosphate_relerr {
    Float32 _FillValue 9.96921e+36;
    Float64 colorBarMaximum 0.1;
    Float64 colorBarMinimum 0.0;
    String long_name "Relative error of Water body phosphate";
    Float32 missing_value 9.96921e+36;
    Float32 valid_max 1.0;
    Float32 valid_min 0.0;
  }
  NC_GLOBAL {
    String abstract 
"Water body phosphate - Seasonal Climatology for Po River for the period 1980-2019 on the domain: Lon E12.0-14.0 deg.E, Lat N44.0-46.00 deg.N. 
Data Sources: observational data from SeaDataNet/EMODNet Chemistry Data Network.
Description of DIVA analysis: The computation was done with the DIVAnd (Data-Interpolating Variational Analysis in n dimensions), version 2.7.4, using GEBCO 30sec topography for the spatial connectivity of water masses. A relative correlation length used based on topography gradients and the horizontal correlation length varies from 25 km to 12.5 km. The vertical correlation length (in meters) is:  [4.,4.,4.,4.,4.,10.,10.,10.,10.,20.,20.,20.,20.,20.]. Depth range: [0., 2., 4., 6., 8., 10., 15., 20., 25., 30., 40., 50., 60., 70.]. Units: umol/l. 
The horizontal resolution of the produced DIVAnd maps grids is dx=dy=0.009 degrees (around 975m and 708m accordingly).
Additional analysis parameters: The error variance (epsilon2) was set equal to 1. Data weight was reduced near the coasts. Data weighting was applied with the following threshold values: lon=0.03, lat=0.03, depth=2. Threshold value for log transformation=200.
Seasons definition: Winter=Jan-Mar, Spring=Apr-Jun, Summer=Jul-Sep, Autumn=Oct-Dec.
DOI: 10.6092/jb28-9k33";
    String acknowledgement "Aggregated data products are generated by EMODnet Chemistry under the support of DG MARE Call for Tenders MARE/2008/03-lot3, MARE/2012/10-lot4,EASME/EMFF/2016/006-lot4, EASME/2019/OP/0003-lot4.";
    String area_keywords "Mediterranean Sea";
    String area_keywords_urn "SDN:C19::3_1";
    String Author_e_mail "Athanasia (Sissy) IONA <sissy@hnodc.hcmr.gr>";
    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_email "NODC.Webmaster@noaa.gov";
    String creator_name "HCMR/HNODC";
    String creator_type "institution";
    String creator_url "https://www.nodc.noaa.gov/";
    String data_access "http://ec.oceanbrowser.net/data/emodnet-domains";
    String date "2021-05-15T02:41:59";
    String DIVA_code_doi "10.5281/zenodo.4715361";
    String DIVA_references 
"Barth, A.; Beckers, J.-M.; Troupin, C.; Alvera-Azcárate, 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-ulg/DIVAnd.jl";
    String DIVAnd_version "v2.7.4";
    String documentation "https://dx.doi.org/10.6092/a8cfb472-10db-4225-9737-5a60da9af523";
    String doi "10.6092/jb28-9k33";
    Float64 Easternmost_Easting 13.998;
    String file_name "Water_body_phosphate.4Danl.nc";
    Float64 geospatial_lat_max 45.998;
    Float64 geospatial_lat_min 44.0;
    Float64 geospatial_lat_resolution 0.008999999999999989;
    String geospatial_lat_units "degrees_north";
    Float64 geospatial_lon_max 13.998;
    Float64 geospatial_lon_min 12.0;
    Float64 geospatial_lon_resolution 0.008999999999999998;
    String geospatial_lon_units "degrees_east";
    String history 
"Sat May 15 10:59:18 2021: ncks -x -v obslon,obslat,obsdepth,obstime,obsid Water_body_phosphate.4Danl.nc Water_body_phosphate.4Danl.nc
Sat May 15 10:40:13 2021: ncrcat Water_body_phosphate_Autumn.4Danl.nc Water_body_phosphate_Spring.4Danl.nc Water_body_phosphate_Summer.4Danl.nc Water_body_phosphate_Winter.4Danl.nc Water_body_phosphate.4Danl.nc
Sat May 15 10:40:12 2021: ncks -O --mk_rec_dmn time Water_body_phosphate_Autumn.4Danl.nc Water_body_phosphate_Autumn.4Danl.nc
2023-06-08T18:23:31Z http://opendap.oceanbrowser.net/thredds/dodsC/data/emodnet-domains/Coastal_areas/Mediterranean_Sea_-_Po_River/Water_body_phosphate.nc
2023-06-08T18:23:31Z https://erddap.emodnet.eu/griddap/Po_River_PO_4D_75c4_4094_e91e.das";
    String id "DatasetScan/emodnet-domains/Coastal_areas/Mediterranean_Sea_-_Po_River/Water_body_phosphate.nc";
    String infoUrl "https://dx.doi.org/10.6092/a8cfb472-10db-4225-9737-5a60da9af523";
    String institution "HCMR/HNODC";
    String institution_urn "SDN:EDMO::269";
    String keywords "analysis, body, data, depth, divand, error, hcmr, hnodc, latitude, longitude, masked, mediterranean, phosphate, po4, relative, river, sea, seawater, threshold, time, using, water, water_body_phosphate, Water_body_phosphate_L1, Water_body_phosphate_L2, Water_body_phosphate_relerr";
    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 4.9.1 (Homepage = http://nco.sf.net, Code = https://github.com/nco/nco)";
    Float64 Northernmost_Northing 45.998;
    String parameter_keyword "Water body phosphate";
    String parameter_keyword_urn "SDN:P35::EPC00007";
    String product_code "HCMR / HNODC-Mediterranean Sea-Water body phosphate-1.0-ANA";
    String product_id "f9b65310-b50d-11eb-146a-2f4017ed0436";
    String product_version "1.0";
    String project "EMODNET-chemistry";
    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-domains/Coastal_areas/Mediterranean_Sea_-_Po_River/Water_body_phosphate.nc";
    Float64 Southernmost_Northing 44.0;
    String standard_name_vocabulary "CF Standard Name Table v70";
    String summary 
"DIVAnd analysis of Water body phosphate. Water body phosphate - Seasonal Climatology for Po River for the period 1980-2019 on the domain: Lon E12.0-14.0 deg.E, Lat N44.0-46.00 deg.N. 
Data Sources: observational data from SeaDataNet/EMODNet Chemistry Data Network.
Description of DIVA analysis: The computation was done with the DIVAnd (Data-Interpolating Variational Analysis in n dimensions), version 2.7.4, using GEBCO 30sec topography for the spatial connectivity of water masses. A relative correlation length used based on topography gradients and the horizontal correlation length varies from 25 km to 12.5 km. The vertical correlation length (in meters) is:  [4.,4.,4.,4.,4.,10.,10.,10.,10.,20.,20.,20.,20.,20.]. Depth range: [0., 2., 4., 6., 8., 10., 15., 20., 25., 30., 40., 50., 60., 70.]. Units: umol/l. 
The horizontal resolution of the produced DIVAnd maps grids is dx=dy=0.009 degrees (around 975m and 708m accordingly).
Additional analysis parameters: The error variance (epsilon2) was set equal to 1. Data weight was reduced near the coasts. Data weighting was applied with the following threshold values: lon=0.03, lat=0.03, depth=2. Threshold value for log transformation=200.
Seasons definition: Winter=Jan-Mar, Spring=Apr-Jun, Summer=Jul-Sep, Autumn=Oct-Dec.
DOI: 10.6092/jb28-9k33";
    String time_coverage_end "1989-11-16T00:00:00Z";
    String time_coverage_start "1989-02-16T00:00:00Z";
    String title "Mediterranean Sea, Po River, Water body phosphate (DIVAnd analysis of Water body phosphate) [time][depth][lat][lon], 0.009deg, 1989";
    String WEB_visualisation "http://ec.oceanbrowser.net/emodnet/";
    Float64 Westernmost_Easting 12.0;
  }
}

 

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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