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| Dataset Title: | Northeast Atlantic Ocean, DIVA 4D 6-year analysis of Water body chlorophyll-a 1972/2020 v2021 [time][lat][lon], 0.1deg, 1975-2018 
|
| Institution: | IFREMER, SISMER, Scientific Information Systems for the SEA (Dataset ID: NorthEastAtlantic_Chl_3D_2a14_1a57_1841) |
| Information: | Summary
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| FGDC
| ISO 19115
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Attributes {
time {
String _CoordinateAxisType "Time";
Float64 actual_range 2.3707296e+9, 3.8143872e+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 25.0, 47.9;
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, -0.1;
String axis "X";
String ioos_category "Location";
String long_name "Longitude";
String standard_name "longitude";
String units "degrees_east";
}
Water_body_chlorophyll_a_deepest {
Float32 _FillValue 9.96921e+36;
Float64 colorBarMaximum 30.0;
Float64 colorBarMinimum 0.03;
String colorBarScale "Log";
String long_name "Deepest values of Water body chlorophyll-a";
Float32 missing_value 9.96921e+36;
String standard_name "concentration_of_chlorophyll_in_sea_water";
String units "mg/m3";
}
Water_body_chlorophyll_a_deepest_L1 {
Float32 _FillValue 9.96921e+36;
String cell_methods "time: mean within years time: mean over years";
Float64 colorBarMaximum 50.0;
Float64 colorBarMinimum 0.0;
String long_name "Deepest values of Water body chlorophyll-a masked using relative error threshold 0.3";
Float32 missing_value 9.96921e+36;
String standard_name "water_body_chlorophyll-a";
String units "mg/m3";
}
Water_body_chlorophyll_a_deepest_L2 {
Float32 _FillValue 9.96921e+36;
String cell_methods "time: mean within years time: mean over years";
Float64 colorBarMaximum 50.0;
Float64 colorBarMinimum 0.0;
String long_name "Deepest values of Water body chlorophyll-a masked using relative error threshold 0.5";
Float32 missing_value 9.96921e+36;
String standard_name "water_body_chlorophyll-a";
String units "mg/m3";
}
NC_GLOBAL {
String abstract
"Moving 6-year analysis of Water body chlorophyll-a in the NorthEast Atlantic for each season:
- winter: January-March,
- spring: April-June,
- summer: July-September,
- autumn: October-December.
Every year of the time dimension corresponds to the 6-year centred average of each season. 6-year periods span from 1971/1976 until 2016/2021. Observation data span from 1971 to 2021.
High-frequency observation trails were filtered to a 3h temporal resolution.
Depth levels (IODE standard depths): [0.0, 5.0, 10.0, 20.0, 30.0, 40.0, 50.0, 75.0, 100.0, 125.0, 150.0, 200.0, 250.0, 300.0].
Data sources: observational data from SeaDataNet/EMODNet Chemistry Data Network.
Descrption of DIVAnd analysis: the computation was done with DIVAnd (Data-Interpolating Variational Analysis in n dimensions), version 2.7.4, using GEBCO 30 sec topography for the spatial connectivity of water masses. The horizontal resolution of the produced DIVAnd maps is 0.1 degrees. Horizontal correlation length varies from 200km in open sea regions to 50km at the coast. Vertical correlation length is defined as twice the vertical resolution. Signal-to-noise ratio was fixed to 1 for vertical profiles and 0.1 for time series to account for the redundancy in the time series observations. A logarithmic transformation (DIVAnd.loglin) was applied to the data prior to the analysis. Background field: a vertically-filtered profile of the seasonal data mean value (including all years) is substracted from the data.
Detrending of data: no, advection constraint applied: no.
Units: mg/m3.";
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 "Northeast Atlantic Ocean (40W)";
String area_keywords_urn "SDN:C19::SVX00015";
String author_e_mail "Nolwenn PAGES <nolwenn.pages@ifremer.fr> Delphine LEROY <delphine.leroy@ifremer.fr> Julie GATTI <julie.gatti@ifremer.fr>";
String Author_email "Quitterie CAZENAVE <quitterie.cazenave@ifremer.fr> Julie GATTI <julie.gatti@ifremer.fr>";
String bathymetry_source "resolution: 0.1 degree, based on the global GEBCO Digital Atlas, 30 sec, 2014";
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-1.6, COARDS, ACDD-1.3";
String creator_name "IFREMER, SISMER, Scientific Information Systems for the SEA";
String creator_type "institution";
String creator_url "https://wwz.ifremer.fr/";
String date "2023-05-16T16:39:44.282";
String DIVA_references "Barth, A., Beckers, J.-M., Troupin, C., Alvera-Azcarate, A., and Vandenbulcke, L. (2014): divand-1.0: n-dimensional variational data analysis for ocean observations, Geosci. Model Dev., 7, 225-241, doi: 10.5194/gmd-7-225-2014";
String DIVAnd_code_doi "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 "v2.7.9";
String doi "https://doi.org/10.13120/a3461fb1-d209-440e-a49f-7acff7731395";
Float64 Easternmost_Easting -0.1;
String file_name "Water_body_chlorophyll-a.4Danl.nc";
Float64 geospatial_lat_max 47.9;
Float64 geospatial_lat_min 25.0;
Float64 geospatial_lat_resolution 0.09999999999999999;
String geospatial_lat_units "degrees_north";
Float64 geospatial_lon_max -0.1;
Float64 geospatial_lon_min -42.0;
Float64 geospatial_lon_resolution 0.09999999999999999;
String geospatial_lon_units "degrees_east";
String history
"Fri Sep 1 10:35:26 2023: ncks -O Water_body_chlorophyll-a.4Danl.nc Water_body_chlorophyll-a.4Danl.nc
2024-11-21T08:40:27Z http://opendap.oceanbrowser.net/thredds/dodsC/data/emodnet-domains/By_sea_regions/Northeast_Atlantic_Ocean/Water_body_chlorophyll-a.4Danl.nc
2024-11-21T08:40:27Z https://erddap.emodnet.eu/erddap/griddap/NorthEastAtlantic_Chl_3D_2a14_1a57_1841.das";
String id "DatasetScan/emodnet-domains/By_sea_regions/Northeast_Atlantic_Ocean/Water_body_chlorophyll-a.4Danl.nc";
String infoUrl "http://opendap.oceanbrowser.net/thredds/dodsC/data/emodnet-domains/By_sea_regions/Northeast_Atlantic_Ocean/Water_body_chlorophyll-a.4Danl.nc.html";
String institution "IFREMER, SISMER, Scientific Information Systems for the SEA";
String institution_urn "SDN:EDMO::486";
String keywords "6-year, analysis, atlantic, body, chemistry, chla, chlorophyll, chlorophyll-a, concentration, concentration_of_chlorophyll_in_sea_water, data, diva, earth, Earth Science > Oceans > Ocean Chemistry > Chlorophyll, exploitation, francais, ifremer, information, institut, latitude, longitude, mer, northeast, ocean, oceans, pour, recherche, science, scientific, sea, seawater, sismer, systems, time, v2021, water, Water_body_chlorophyll_a_deepest, Water_body_chlorophyll_a_deepest_L1, Water_body_chlorophyll_a_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 47.9;
String parameter_keyword "Water body chlorophyll-a";
String parameter_keyword_urn "SDN:P35::EPC00105";
String product_code "Atlantic-Water_body_chlorophyll-a-v2023-ANA";
String product_id "a3461fb1-d209-440e-a49f-7acff7731395";
String product_version "3";
String project "EMODNET Chemistry - Phase 5";
String search_keywords "Chlorophyll pigment concentrations in water bodies";
String search_keywords_urn "SDN:P02::CPWC";
String source "observational data from SeaDataNet/EMODnet Chemistry Data Network";
String sourceUrl "http://opendap.oceanbrowser.net/thredds/dodsC/data/emodnet-domains/By_sea_regions/Northeast_Atlantic_Ocean/Water_body_chlorophyll-a.4Danl.nc";
Float64 Southernmost_Northing 25.0;
String standard_name_vocabulary "CF Standard Name Table v70";
String summary "Northeast Atlantic Ocean - DIVA 4D 6-year analysis of Water body chlorophyll-a 1972/2020 v2021. Every year of the time dimension corresponds to a 6-year running average for Winter (January - March), Spring (April - June), Summer (July - September) or Automn (October - December). Horizontal resolution 0.1° X 0.1°.";
String time_coverage_end "2090-11-15T00:00:00Z";
String time_coverage_start "2045-02-15T00:00:00Z";
String title "Northeast Atlantic Ocean, DIVA 4D 6-year analysis of Water body chlorophyll-a 1972/2020 v2021 [time][lat][lon], 0.1deg, 1975-2018";
Float64 Westernmost_Easting -42.0;
}
}
Data Access Protocol (DAP) and its
projection constraints.
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.