Data Access Form

Dataset Title:	CMEMS HR-OC Mediterranean Sea transparency (spm, tur) and geophysical (chl) daily observations mosaic
Institution:	Brockmann Consult GmbH, RBINS, VITO for CMEMS, Mercator Ocean (Dataset ID: cmems_obs_oc_med_bgc_tur-spm-chl_nrt_l3_hr_mosaic_P1D_m)
Information:	Summary \| License \| FGDC \| ISO 19115 \| Metadata \| Background \| Files \| Make a graph

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Dimensions	Size	Spacing
time (UTC)	8	1 day (even)

latitude (degrees_north)	1512	9.259259E-4 (even)

longitude (degrees_east)	2268	0.001322751 (even)

Grid Variables (which always also download all of the dimension variables)

CHL (mg m-3)

File type: (more information)

(Documentation / Bypass this form)

(Please be patient. It may take a while to get the data.)

The Dataset Attribute Structure (.das) for this Dataset

Attributes {
  time {
    String _CoordinateAxisType "Time";
    Float64 actual_range 1.7743968e+9, 1.7750016e+9;
    String axis "T";
    String calendar "Gregorian";
    String ioos_category "Time";
    String long_name "Time";
    String standard_name "time";
    String time_origin "01-JAN-1970 00:00:00";
    String unit_long "Seconds Since 2000-01-01";
    String units "seconds since 1970-01-01T00:00:00Z";
  }
  latitude {
    String _CoordinateAxisType "Lat";
    Float64 actual_range 43.30046296296296, 44.69953703703704;
    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 7.500661375661405, 10.499338624338655;
    String axis "X";
    String ioos_category "Location";
    String long_name "Longitude";
    String standard_name "longitude";
    String units "degrees_east";
  }
  CHL {
    Float32 _FillValue NaN;
    Float64 colorBarMaximum 30.0;
    Float64 colorBarMinimum 0.03;
    String colorBarScale "Log";
    String long_name "Chlorophyll-a concentration derived from MSI L2R using HR-OC L2W processor";
    String standard_name "mass_concentration_of_chlorophyll_a_in_sea_water";
    String units "mg m-3";
    Float32 valid_min 0.0;
  }
  NC_GLOBAL {
    String cdm_data_type "Grid";
    String cmd_data_type "Grid";
    String cmems_dataset "cmems_obs_oc_med_bgc_tur-spm-chl_nrt_l3-hr-mosaic_P1D-m";
    String cmems_product_id "OCEANCOLOUR_MED_BGC_HR_L3_NRT_009_205";
    String contact "https://marine.copernicus.eu/";
    String Conventions "CF-1.10, COARDS, ACDD-1.3";
    String copernicusmarine_version "2.3.0";
    String creator_email "hr-oc-servicedesk@brockmann-consult.de";
    String creator_name "Brockmann Consult GmbH, RBINS, VITO for CMEMS, Mercator Ocean";
    String creator_type "group";
    String creator_url "https://marine.copernicus.eu/";
    String date_created "2021-08-13T07:31:43Z";
    Float64 Easternmost_Easting 10.499338624338655;
    Float64 geospatial_lat_max 44.69953703703704;
    Float64 geospatial_lat_min 43.30046296296296;
    Float64 geospatial_lat_resolution 9.259259259259292e-4;
    String geospatial_lat_units "degrees_north";
    Float64 geospatial_lon_max 10.499338624338655;
    Float64 geospatial_lon_min 7.500661375661405;
    Float64 geospatial_lon_resolution 0.0013227513227513233;
    String geospatial_lon_units "degrees_east";
    String history 
"Calvalus 2.21 mosaic generation; Acolite 20210203; C2RCC 8.0cv; Idepix 8.0cv; HROC L2W 20201223; Calvalus 2.21 aggregation
2026-04-03T05:52:16Z (local files)
2026-04-03T05:52:16Z https://erddap.s4raise.it/erddap/griddap/cmems_obs_oc_med_bgc_tur-spm-chl_nrt_l3_hr_mosaic_P1D_m.das";
    String id "20200101_P1D_CMEMS_HROC_L3_tur-spm-chl_MED__100m-v01.0.nc";
    String infoUrl "https://marine.copernicus.eu/";
    String institution "Brockmann Consult GmbH, RBINS, VITO for CMEMS, Mercator Ocean";
    String keywords "brockmann, chemistry, chl, chlorophyll, chlorophyll-a, cmems, concentration, consult, daily, data, day, derived, earth, Earth Science > Oceans > Ocean Chemistry > Chlorophyll, geophysical, gmbh, hr-oc, l2r, l2w, latitude, longitude, mass, mass_concentration_of_chlorophyll_a_in_sea_water, mediterranean, mercator, mosaic, msi, observations, ocean, oceans, processor, rbins, science, sea, seawater, spm, time, transparency, tur, using, vito, water";
    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 naming_authority "org.esa-cci";
    Float64 Northernmost_Northing 44.69953703703704;
    String platform "Sentinel-2";
    String product_version "v01.0";
    String project "CMEMS High Resolution Ocean Colour";
    String references "https://marine.copernicus.eu/";
    String region "MED";
    String sensor "MSI";
    String source "Sentinel-2 MSI L1C";
    String sourceUrl "(local files)";
    Float64 Southernmost_Northing 43.30046296296296;
    String spatial_resolution "100m";
    String standard_name_vocabulary "CF Standard Name Table v70";
    String start_date "01-JAN-2020 00:00:00.000000";
    String stop_date "01-JAN-2020 00:00:00.000000";
    String summary "CMEMS HR-OC Mediterranean Sea transparency (spm, tur) and geophysical (chl) daily observations mosaic";
    String testOutOfDate "now-5days";
    String TileSize "1080:2709";
    String time_coverage_duration "P1D";
    String time_coverage_end "2026-04-01T00:00:00Z";
    String time_coverage_resolution "P1D";
    String time_coverage_start "2026-03-25T00:00:00Z";
    String time_coverage_stop "20200101T235959Z";
    String title "CMEMS HR-OC Mediterranean Sea transparency (spm, tur) and geophysical (chl) daily observations mosaic";
    String tracking_id "5ba0fb54-0a73-452f-8a7e-0d67cdae4985";
    Float64 Westernmost_Easting 7.500661375661405;
  }
}

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.

(easy) You can get data by using the dataset's Data Access Form. It makes the URL for you.
(easy) You can make a graph or map by using the dataset's Make A Graph form. It makes the URL for you.
(not hard) You can bypass the forms and get the data or make a graph or map by generating the URL by hand or with a computer program or script.

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.