Astoreca, R.

Borges, Alberto

Commarieu, Marc-Vincent

Delille, Bruno

Lancelot, C.

Rousseau, V.

Ruddick, K.

Schiettecatte, L.-S.

Suykens, S.

Borges, A.V.

Suykens, K.

Commarieux, M.-V.

Delille, B.

Open Marine Archive

Geophysical Research Abstracts,
Vol. 10, EGU2008-A-00000, 2008
EGU General Assembly 2008
© Author(s) 2008
Estimating pCO2 from remote sensing in the Case-II
waters of the Belgian Coastal Zone - First results from
the BELCOLOUR-II project
A.V. Borges (1), K. Suykens (1), M.-V. Commarieux (1), L.-S. Schiettecatte (1), B.
Delille (1), R. Astoreca (2), V. Rousseau (2), C. lancelot (2), K. Ruddick (3)
(1) Unité d’Océanographie Chimique, Université de Liège, B-4000 Liège, B-4000, Belgium
(alberto.borges@ulg.ac.be), (2) Ecologie des Systèmes Aquatiques, Université Libre de
Bruxelles, B-1050, Belgium, (3)BelgiumManagement Unit of the North Sea Mathematical
Models, Royal Belgian Institute for Natural Sciences, B-1200 Brussels, Belgium
In coastal waters, a purely data based approach will be probably insufficient to bet-
ter constrain the air-sea CO2 fluxes, to study their inter-annual variability and their
long-term changes. One approach to achieve these goals is to use remote sens-
ing fields of relevant biogeochemical independent variables to extrapolate avail-
able data, and produce maps of the partial pressure of CO2 (pCO2) and air-CO2
fluxes. In the open ocean this approach has to some extent been successfully used
based on fields of chlorophyll-a (Chla), sea surface temperature (SST) and sea
surface salinity (SSS). This approach remains challenging in coastal waters that
have complex optical properties (Case-II waters) and that exhibit highly dynamic
pCO2 temporal and spatial variations. During the first year of the Belgian funded
BELCOLOUR-II project (Optical remote sensing of marine, coastal and inland wa-
ters; http://www.mumm.ac.be/BELCOLOUR/EN/index.php), three field cruises for
optical measurements were carried in April, July and September 2007. Here, based
on the preliminary BELCOLOUR-II data, we investigate the possibility of deriving
algorithms to predict pCO2 from remote sensed variables.


Estimating pCO<sub>2</sub> from remote sensing in the Case-II waters of the Belgian coastal zone – First results from the BELCOLOUR-II project

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Estimating pCO2 from remote sensing in the Case-II waters of the Belgian Coastal Zone – First results from the BELCOLOUR-II project

http://orbi.ulg.ac.be/bitstream/2268/81448/1/63074540.pdf

Estimating pCO2 from remote sensing in the Case-II waters of the Belgian Coastal Zone – First results from the BELCOLOUR-II project

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