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| Dataset Title: | Baltic Sea, DIVAnd 6-year seasonal analysis of Water body chlorophyll-a 1980/ 2018 v2021 [time][lat][lon], 0.1deg, 1982-2015 
|
| Institution: | Swedish Meteorological and Hydrological Institute (Dataset ID: Baltic_Sea_Chla_3D_7c3e_87db_c4a0) |
| Information: | Summary
| License
| FGDC
| ISO 19115
| Metadata
| Background
| Make a graph
|
Attributes {
time {
String _CoordinateAxisType "Time";
Float64 actual_range 1.905984e+8, 1.539648e+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 53.0, 65.9;
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 9.4, 30.9;
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 acknowledgement "Aggregated data products are generated by EMODnet Chemistry under the support of DG MARE Call for Tenders EASME/EMFF/2016/006-lot4, EASME/2019/OP/0003-lot4.";
String area_keywords "Baltic Sea";
String area_keywords_urn "SDN:C19::2";
String Author_e_mail "Karin Wesslander <karin.wesslander@smhi.se>";
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 comment "Every year of the time dimension corresponds to a 6-year centred average for the seasons: winter (Dec-Feb), spring (Mar-May), summer (Jun-Aug), autumn (Sep-Nov). Horizontal resolution 0.05 degree by 0.05 degree";
String Conventions "CF-1.6, COARDS, ACDD-1.3";
String creator_name "Swedish Meteorological and Hydrological Institute";
String creator_url "https://doi.org/10.6092/A8CFB472-10DB-4225-9737-5A60DA9AF523";
String date "2023-03-31T07:08:59";
String DIVA_code_doi "10.5281/zenodo.4715361";
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_source "https://github.com/gher-ulg/DIVAnd.jl";
String DIVAnd_version "2.7.9";
String documentation "https://doi.org/10.13120/fa5c704a-a5ea-4f60-91b5-2bf6a7aded45";
String doi "https://doi.org/10.13120/e1da99a3-037f-455d-bf65-2fe85337ca43";
Float64 Easternmost_Easting 30.9;
String file_name "Baltic_Sea/6-year_running_averages/Water_body_chlorophyll-a.4Danl.nc";
Float64 geospatial_lat_max 65.9;
Float64 geospatial_lat_min 53.0;
Float64 geospatial_lat_resolution 0.10000000000000005;
String geospatial_lat_units "degrees_north";
Float64 geospatial_lon_max 30.9;
Float64 geospatial_lon_min 9.4;
Float64 geospatial_lon_resolution 0.1;
String geospatial_lon_units "degrees_east";
String history
"Fri Sep 1 09:45:43 2023: ncks -O Water_body_chlorophyll-a.4Danl.nc Water_body_chlorophyll-a.4Danl.nc
2024-12-22T03:10:55Z http://opendap.oceanbrowser.net/thredds/dodsC/data/emodnet-domains/By_sea_regions/Baltic_Sea/Water_body_chlorophyll-a.4Danl.nc
2024-12-22T03:10:55Z https://erddap.emodnet.eu/erddap/griddap/Baltic_Sea_Chla_3D_7c3e_87db_c4a0.das";
String id "DatasetScan/emodnet-domains/By_sea_regions/Baltic_Sea/Water_body_chlorophyll-a.4Danl.nc";
String infoUrl "https://doi.org/10.6092/A8CFB472-10DB-4225-9737-5A60DA9AF523";
String institution "Swedish Meteorological and Hydrological Institute";
String institution_urn "SDN:EDMO::545";
String keywords "6-year, analysis, baltic, body, chemistry, chla, chlorophyll, chlorophyll-a, concentration, concentration_of_chlorophyll_in_sea_water, data, divand, earth, Earth Science > Oceans > Ocean Chemistry > Chlorophyll, hydrological, institute, latitude, longitude, meteorological, ocean, oceans, science, sea, seasonal, seawater, swedish, time, v2021, water, water_body_chlorophyll-a, 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 65.9;
String parameter_keyword "Water body chlorophyll-a";
String parameter_keyword_urn "SDN:P35::EPC00105";
String product_code "Baltic Sea-Water_body_chlorophyll-a-v2023-ANA";
String product_id "e1da99a3-037f-455d-bf65-2fe85337ca43";
String product_version "v2023";
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/Baltic_Sea/Water_body_chlorophyll-a.4Danl.nc";
Float64 Southernmost_Northing 53.0;
String standard_name_vocabulary "CF Standard Name Table v70";
String summary "Baltic Sea - DIVAnd 6-year seasonal analysis of Water body chlorophyll-a 1980/2018 v2021. Every year of the time dimension corresponds to a 6-year running average for Winter (December - February), Spring (March - May), Summer (June - August) or Autumn (September - November). Horizontal resolution 0.1° X 0.1°.";
String time_coverage_end "2018-10-16T00:00:00Z";
String time_coverage_start "1976-01-16T00:00:00Z";
String title "Baltic Sea, DIVAnd 6-year seasonal analysis of Water body chlorophyll-a 1980/2018 v2021 [time][lat][lon], 0.1deg, 1982-2015";
Float64 Westernmost_Easting 9.4;
}
}
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.