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Dataset Title:  Mediterranean Sea, DIVAnd 4D 6-year seasonal analysis of Water body
chlorophyll-a 1990/2024 v2025 [observations] Subscribe RSS
Institution:  HCMR/HNODC   (Dataset ID: oceanbrowser_opendap_e798_67bb_36ad)
Information:  Summary ? | License ? | 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 {
  observations {
    Int32 actual_range 0, 8538175;
    String long_name "Observations";
    String units "count";
  }
  obsdepth {
    Float64 colorBarMaximum 8000.0;
    Float64 colorBarMinimum -8000.0;
    String colorBarPalette "TopographyDepth";
    String long_name "depth below sea level";
    String positive "down";
    String standard_name "depth";
    String units "meters";
  }
  obslat {
    Float64 colorBarMaximum 90.0;
    Float64 colorBarMinimum -90.0;
    String long_name "latitude";
    String standard_name "latitude";
    String units "degrees_north";
  }
  obslon {
    Float64 colorBarMaximum 180.0;
    Float64 colorBarMinimum -180.0;
    String long_name "longitude";
    String standard_name "longitude";
    String units "degrees_east";
  }
  obstime {
    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";
  }
  NC_GLOBAL {
    String abstract 
"Moving 6-year analysis of Water body chlorophyll-a in the Mediterranean Sea 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 centered average of the season.
6-years periods span from 1990-1995 until 2019-2024.
Description of DIVA analysis: The computation was done with the DIVAnd (Data-Interpolating Variational Analysis in n dimensions), version 2.7.12, using GEBCO 30sec topography for the spatial connectivity of water masses.
The horizontal resolution of the produced DIVAnd maps grids is dx=dy=0.125 degrees (around 13.5km and 10.9km accordingly).
The vertical resolution is 20 depth levels: [0.,5.,10.,20.,30.,50.,75.,100.,125.,150.,200.,250.,300.,400.,500.,600.,700.,800.,900.,1000.].
The horizontal correlation length is 200km.
The vertical correlation length (in meters) was set twices the vertical resolution: [10.,10.,20.,20.,40.,50.,50.,50.,50.,100.,100.,100.,200.,200.,200.,200.,200.,200.,200.,200.].
Duplicates check was performed using the following criteria for space and time: dlon=0.001deg., dlat=0.001deg., ddepth=1m, dtime=1hour, dvalue=0.1.
The error variance (epsilon2) was set equal to 1 for profiles and 10 for time series to reduce the influence of close data near the coasts.
An anamorphosis transformation was applied to the data (function DIVAnd.Anam.loglin) to avoid unrealistic negative values: threshold value=200.
A background analysis field was used for all years (1990-2024) with correlation length equal to 600km and error variance (epsilon2) equal to 20.
Quality control of the observations was applied using the interpolated field (QCMETHOD=3). Residuals (differences between the observations and the analysis (interpolated linearly to the location of the observations) were calculated. Observations with residuals outside the minimum and maximum values of the 99% quantile were discarded from the analysis. 
Originators of Italian data sets-List of contributors:
- Brunetti Fabio (OGS)
- Cardin Vanessa, Bensi Manuel doi:10.6092/36728450-4296-4e6a-967d-d5b6da55f306
- Cardin Vanessa, Bensi Manuel, Ursella Laura, Siena Giuseppe doi:10.6092/f8e6d18e-f877-4aa5-a983-a03b06ccb987
- Cataletto Bruno (OGS)
- Cinzia Comici Cinzia (OGS)
- Civitarese Giuseppe (OGS)
- DeVittor Cinzia (OGS)
- Giani Michele (OGS)
- Kovacevic Vedrana (OGS)
- Mosetti Renzo (OGS)
- Solidoro C.,Beran A.,Cataletto B.,Celussi M.,Cibic T.,Comici C.,Del Negro P.,De Vittor C.,Minocci M.,Monti M.,Fabbro C.,Falconi C.,Franzo A.,Libralato S.,Lipizer M.,Negussanti J.S.,Russel H.,Valli G., doi:10.6092/e5518899-b914-43b0-8139-023718aa63f5
- Celio Massimo (ARPA FVG)
- Malaguti Antonella (ENEA)
- Fonda Umani Serena (UNITS)
- Bignami Francesco (ISAC/CNR)
- Boldrini Alfredo (ISMAR/CNR)
- Marini Mauro (ISMAR/CNR)
- Miserocchi Stefano (ISMAR/CNR)
- Zaccone Renata (IAMC/CNR)
- Lavezza, R., Dubroca, L. F. C., Ludicone, D., Kress, N., Herut, B., Civitarese, G., Cruzado, A., Lefèvre, D.,Souvermezoglou, E., Yilmaz, A., Tugrul, S., and Ribera d'Alcala, M.: Compilation of quality controlled nutrient profiles from the Mediterranean Sea, doi:10.1594/PANGAEA.771907, 2011.";
    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/2016/0006-lot4, EASME/2019/OP/0003-lot4, EASME/EMFF/2020/OP/0006-lot4, CINEA/2024/OP/0006-lot5";
    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. Resolution used for the analysis: 30 arc-second";
    String cdm_data_type "Grid";
    String comment "Every year of the time dimension corresponds to a 6-year centered average for each season";
    String Conventions "CF-1.60, 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 "https://emodnet.ec.europa.eu/geoviewer";
    String date "2025-09-18T16:21:27";
    String DIVA_code_doi "10.5281/zenodo.7016823";
    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-uliege/DIVAnd.jl";
    String DIVAnd_version "v2.7.12";
    String documentation "https://doi.org/10.13120/fa5c704a-a5ea-4f60-91b5-2bf6a7aded45";
    String doi "https://doi.org/10.13120/e6badb16-ccdb-40c3-a9b5-7ccabf806eba";
    String file_name "Water_body_chlorophyll-a.4Danl.nc";
    String history 
"Thu Nov  6 15:11:57 2025: ncks -7 -O -L 5 --baa=4 --ppc default=3 /media/ctroupin/T7 Shield/data/EMODnet-Chemistry/Eutrophication2024/Results/By_sea_regions-water_body/Mediterranean_Sea/Water_body_chlorophyll-a.4Danl.nc /media/ctroupin/T7 Shield/data/EMODnet-Chemistry/Eutrophication2024/Results/By_sea_regions-water_body/Mediterranean_Sea/Water_body_chlorophyll-a.4Danl.nc
2026-04-05T16:53:39Z http://opendap.oceanbrowser.net/thredds/dodsC/data/emodnet-projects/v2025/By_sea_regions-water_body/Mediterranean_Sea/Water_body_chlorophyll-a.4Danl.nc
2026-04-05T16:53:39Z https://erddap.emodnet.eu/griddap/oceanbrowser_opendap_e798_67bb_36ad.das";
    String id "DatasetScan/emodnet-projects/v2025/By_sea_regions-water_body/Mediterranean_Sea/Water_body_chlorophyll-a.4Danl.nc";
    String infoUrl "https://doi.org/10.13120/fa5c704a-a5ea-4f60-91b5-2bf6a7aded45";
    String institution "HCMR/HNODC";
    String institution_urn "SDN:EDMO::269";
    String keywords "6-year, analysis, below, body, chla, chlorophyll, chlorophyll-a, cnr, control, council, data, depth, divand, hcmr, hnodc, latitude, level, longitude, mediterranean, national, obsdepth, observations, obslat, obslon, obstime, quality, research, sea, seasonal, seawater, time, v2025, water, year";
    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 5.2.1 (Homepage = http://nco.sf.net, Code = https://github.com/nco/nco, Citation = 10.1016/j.envsoft.2008.03.004)";
    String netcdf_long_name "Chlorophyll-a_particulate";
    String netcdf_standard_name "Water_body_chlorophyll-a";
    String netcdf_units "mg/m3";
    String parameter_keyword "Water body chlorophyll-a";
    String parameter_keyword_urn "SDN:P35::EPC00105";
    String product_code "Mediterranean Sea-Water body chlorophyll-a-v2025-ANA";
    String product_id "e6badb16-ccdb-40c3-a9b5-7ccabf806eba";
    String product_version "v2025";
    String project "EMODnet Chemistry phase 6";
    String search_keywords "Chlorophyll pigment concentrations in water bodies";
    String search_keywords_urn "SDN:P02::CPWC";
    String source "Observations from EMODnet Chemistry";
    String sourceUrl "http://opendap.oceanbrowser.net/thredds/dodsC/data/emodnet-projects/v2025/By_sea_regions-water_body/Mediterranean_Sea/Water_body_chlorophyll-a.4Danl.nc";
    String standard_name_vocabulary "CF Standard Name Table v70";
    String summary 
"Mediterranean Sea - DIVAnd 4D 6-year seasonal analysis of Water body chlorophyll-a 1990/2024 v2025. Moving 6-year analysis of Water body chlorophyll-a in the Mediterranean Sea 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 centered average of the season.
6-years periods span from 1990-1995 until 2019-2024.
Description of DIVA analysis: The computation was done with the DIVAnd (Data-Interpolating Variational Analysis in n dimensions), version 2.7.12, using GEBCO 30sec topography for the spatial connectivity of water masses.
The horizontal resolution of the produced DIVAnd maps grids is dx=dy=0.125 degrees (around 13.5km and 10.9km accordingly).
The vertical resolution is 20 depth levels: [0.,5.,10.,20.,30.,50.,75.,100.,125.,150.,200.,250.,300.,400.,500.,600.,700.,800.,900.,1000.].
The horizontal correlation length is 200km.
The vertical correlation length (in meters) was set twices the vertical resolution: [10.,10.,20.,20.,40.,50.,50.,50.,50.,100.,100.,100.,200.,200.,200.,200.,200.,200.,200.,200.].
Duplicates check was performed using the following criteria for space and time: dlon=0.001deg., dlat=0.001deg., ddepth=1m, dtime=1hour, dvalue=0.1.
The error variance (epsilon2) was set equal to 1 for profiles and 10 for time series to reduce the influence of close data near the coasts.
An anamorphosis transformation was applied to the data (function DIVAnd.Anam.loglin) to avoid unrealistic negative values: threshold value=200.
A background analysis field was used for all years (1990-2024) with correlation length equal to 600km and error variance (epsilon2) equal to 20.
Quality control of the observations was applied using the interpolated field (QCMETHOD=3). Residuals (differences between the observations and the analysis (interpolated linearly to the location of the observations) were calculated. Observations with residuals outside the minimum and maximum values of the 99% quantile were discarded from the analysis. 
Originators of Italian data sets-List of contributors:
- Brunetti Fabio (OGS)
- Cardin Vanessa, Bensi Manuel doi:10.6092/36728450-4296-4e6a-967d-d5b6da55f306
- Cardin Vanessa, Bensi Manuel, Ursella Laura, Siena Giuseppe doi:10.6092/f8e6d18e-f877-4aa5-a983-a03b06ccb987
- Cataletto Bruno (OGS)
- Cinzia Comici Cinzia (OGS)
- Civitarese Giuseppe (OGS)
- DeVittor Cinzia (OGS)
- Giani Michele (OGS)
- Kovacevic Vedrana (OGS)
- Mosetti Renzo (OGS)
- Solidoro C.,Beran A.,Cataletto B.,Celussi M.,Cibic T.,Comici C.,Del Negro P.,De Vittor C.,Minocci M.,Monti M.,Fabbro C.,Falconi C.,Franzo A.,Libralato S.,Lipizer M.,Negussanti J.S.,Russel H.,Valli G., doi:10.6092/e5518899-b914-43b0-8139-023718aa63f5
- Celio Massimo (ARPA FVG)
- Malaguti Antonella (ENEA)
- Fonda Umani Serena (UNITS)
- Bignami Francesco (ISAC/National Research Council (CNR))
- Boldrini Alfredo (ISMAR/CNR)
- Marini Mauro (ISMAR/CNR)
- Miserocchi Stefano (ISMAR/CNR)
- Zaccone Renata (IAMC/CNR)
- Lavezza, R., Dubroca, L. F. C., Ludicone, D., Kress, N., Herut, B., Civitarese, G., Cruzado, A., Lefevre, D.,Souvermezoglou, E., Yilmaz, A., Tugrul, S., and Ribera d'Alcala, M.: Compilation of quality controlled nutrient profiles from the Mediterranean Sea, doi:10.1594/PANGAEA.771907, 2011.";
    String title "Mediterranean Sea, DIVAnd 4D 6-year seasonal analysis of Water body chlorophyll-a 1990/2024 v2025 [observations]";
    String WEB_visualisation "https://emodnet.ec.europa.eu/geoviewer";
  }
}

 

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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