• Catalogue PIGMA
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Mediterranean Sea Chlorophyll-a trend map from Observations Reprocessing

'''DEFINITION'''

This product includes the Mediterranean Sea satellite chlorophyll trend map based on regional chlorophyll reprocessed (MY) product as distributed by CMEMS OC-TAC. This dataset, derived from multi-sensor (SeaStar-SeaWiFS, AQUA-MODIS, NOAA20-VIIRS, NPP-VIIRS, Envisat-MERIS and Sentinel3-OLCI) (at 1 km resolution) Rrs spectra produced by CNR using an in-house processing chain, is obtained by means of the Mediterranean Ocean Colour regional algorithms: an updated version of the MedOC4 (Case 1 (off-shore) waters, Volpe et al., 2019, with new coefficients) and AD4 (Case 2 (coastal) waters, Berthon and Zibordi, 2004). The processing chain and the techniques used for algorithms merging are detailed in Colella et al. (2023).

The trend map is obtained by applying Colella et al. (2016) methodology, where the Mann-Kendall test (Mann, 1945; Kendall, 1975) and Sens’s method (Sen, 1968) are applied on deseasonalized monthly time series, as obtained from the X-11 technique (see e. g. Pezzulli et al. 2005), to estimate, trend magnitude and its significance. The trend is expressed in % per year that represents the relative changes (i.e., percentage) corresponding to the dimensional trend [mg m-3 y-1] with respect to the reference climatology (1997-2014). Only significant trends (p < 0.05) are included.

'''CONTEXT'''

Phytoplankton are key actors in the carbon cycle and, as such, recognised as an Essential Climate Variable (ECV). Chlorophyll concentration - as a proxy for phytoplankton - respond rapidly to changes in environmental conditions, such as light, temperature, nutrients and mixing (Colella et al. 2016). The character of the response depends on the nature of the change drivers, and ranges from seasonal cycles to decadal oscillations (Basterretxea et al. 2018). The Mediterranean Sea is an oligotrophic basin, where chlorophyll concentration decreases following a specific gradient from West to East (Colella et al. 2016). The highest concentrations are observed in coastal areas and at the river mouths, where the anthropogenic pressure and nutrient loads impact on the eutrophication regimes (Colella et al. 2016). The the use of long-term time series of consistent, well-calibrated, climate-quality data record is crucial for detecting eutrophication. Furthermore, chlorophyll analysis also demands the use of robust statistical temporal decomposition techniques, in order to separate the long-term signal from the seasonal component of the time series.

'''KEY FINDINGS'''

The chlorophyll trend in the Mediterranean Sea for the 1997–2024 period confirms the findings of the previous release, with predominantly negative values observed across most of the basin. On average, the region shows a trend of approximately -0.77% per year, slightly more negative than the overall trend reported previously. As in earlier assessments, weak positive trends persist in specific areas such as the northern Aegean Sea and the Sicily Channel. Compared to the 1997–2023 period, new positive trends are now evident in the Gulf of Lion.

In contrast to the findings of Salgado-Hernanz et al. (2019), which were based on satellite observations from 1998 to 2014, this analysis does not reveal a distinct difference between the western and eastern Mediterranean basins. Notably, the Ligurian Sea now exhibits a negative trend, diverging from the positive trends identified by Colella et al. (2016) for the 1998–2009 period and by Salgado-Hernanz et al. (2019) for 1998–2014. Similarly, the waters of the Northern Adriatic Sea show weak positive trends, differing from the strong negative trend previously reported by Colella et al. (2016), and also representing a shift from the positive values observed by Salgado-Hernanz et al. (2019).

'''DOI (product):'''

https://doi.org/10.48670/moi-00260

Simple

Alternate title
OMI_HEALTH_CHL_MEDSEA_OCEANCOLOUR_trend
Date (Creation)
2019-11-28
Edition
3.4
Edition date
2025-11-25
Identifier
a78600a4-a280-47b5-8ddd-0dc8b5e9c9d9
Credit
E.U. Copernicus Marine Service Information
Resource provider
  OC-CNR-ROMA-IT -
Maintenance and update frequency
Annually
Other
P0M0D0H/P0M0D0H
Maintenance note
N/A
GEMET - INSPIRE themes, version 1.0
  • Oceanographic geographical features
Discipline
  • satellite-observation
Climate and Forecast Standard Names
  • change_in_mass_concentration_of_chlorophyll_in_seawater_over_time
Temporal scale
  • multi-year
Area of benefit
  • coastal-marine-environment
  • marine-safety
  • weather-climate-and-seasonal-forecasting
  • marine-resources
Reference Geographical Areas
  • mediterranean-sea
Processing level
  • Level 4
Model assimilation
  • Not Applicable
Use limitation
See Copernicus Marine Environment Monitoring Service Data commitments and licence at: http://marine.copernicus.eu/web/27-service-commitments-and-licence.php
Access constraints
Other restrictions
Use constraints
License
Other constraints
No limitations on public access
Date (Creation)
2019-05-08
Association Type
Cross reference
Initiative Type
reference
Date (Creation)
2019-05-08
Association Type
Cross reference
Initiative Type
reference
Date (Creation)
2019-05-08
Association Type
Cross reference
Initiative Type
reference
Date (Creation)
2019-05-08
Association Type
Cross reference
Initiative Type
reference
Date (Creation)
2019-05-08
Association Type
Cross reference
Initiative Type
reference
Date (Creation)
2019-05-08
Association Type
Cross reference
Initiative Type
reference
Date (Creation)
2019-05-08
Association Type
Cross reference
Initiative Type
reference
Date (Creation)
2019-05-08
Association Type
Cross reference
Initiative Type
reference
Date (Creation)
2019-05-08
Association Type
Cross reference
Initiative Type
reference
Date (Creation)
2019-05-08
Association Type
Cross reference
Initiative Type
reference
Aggregate Datasetindentifier
646b44c8-2341-4b80-ba63-87f78bf57e2a
Association Type
Cross reference
Initiative Type
document
Aggregate Datasetindentifier
1daeb022-9297-46d1-a5d5-08bd032417d1
Association Type
Cross reference
Initiative Type
document
Aggregate Datasetindentifier
75c2f83c-7159-492a-b383-a1cc3f5f2ede
Association Type
Cross reference
Initiative Type
document
Metadata language
eng
Topic category
  • Oceans
Description
bounding box
N
S
E
W
thumbnail


Begin date
1997-09-04

Vertical extent

Minimum value
0
Maximum value
0
Vertical CRS
  • urn:ogc:def:crs:EPSG:5714
Supplemental Information
display priority: 53800
Reference system identifier
EPSG / Equirectangular
Number of dimensions
2
Dimension name
Row
Resolution
1  km
Dimension name
Column
Resolution
1  km
Cell geometry
Area
Transformation parameter availability
No
Distribution format
  • NetCDF-4 ( Classic model )

Distributor

OnLine resource
omi_health_chl_medsea_oceancolour_trend ( WWW:STAC )

For accessing native data and Analysis-ready Cloud-optimized data services, consult this STAC metadata endpoint

OnLine resource
omi_health_chl_medsea_oceancolour_trend ( OGC:WMTS )
Hierarchy level
Series

Conformance result

Date (Publication)
2010-12-08
Explanation
See the referenced specification
Statement
The myOcean products depends on other products for production or validation. The detailed list of dependencies is given in ISO19115's aggregationInfo (ISO19139 Xpath = "gmd:MD_Metadata/gmd:identificationInfo/gmd:aggregationInfo[./gmd:MD_AggregateInformation/gmd:initiativeType/gmd:DS_InitiativeTypeCode/@codeListValue='upstream-validation' or 'upstream-production']")
Attribute description
observation
Content type
Physical measurement
Descriptor
vertical level number: 1
Included with dataset
No
Feature types
Grid
File identifier
e4b03720-36f0-4fd5-b5a4-d68d2b0508b4 XML
Metadata language
English
Character set
UTF8
Hierarchy level
Series
Hierarchy level name
Copernicus Marine Service product specification
Date stamp
2025-09-23T13:29:33.273752Z
Metadata standard name
ISO 19139, MyOcean profile
Metadata standard version
0.2
Point of contact
  CMEMS
http://marine.copernicus.eu/
 
 

Overviews

overview

Spatial extent

N
S
E
W
thumbnail


Keywords

GEMET - INSPIRE themes, version 1.0
Oceanographic geographical features
Model assimilation
Not Applicable

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Associated resources

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