Reference : Estimating pCO2 from remote sensing in the Belgian coastal zone
Scientific congresses and symposiums : Paper published in a journal
Life sciences : Aquatic sciences & oceanology
Life sciences : Environmental sciences & ecology
http://hdl.handle.net/2268/81111
Estimating pCO2 from remote sensing in the Belgian coastal zone
English
Borges, Alberto mailto [Université de Liège - ULg > Département d'astrophys., géophysique et océanographie (AGO) > Océanographie chimique >]
Ruddick, Kevin [Royal Belgian Institute of Natural Sciences (RBINS), Management Unit of the North Sea Mathematical Models (MUMM/UGMM/BMM), 100 Gulledelle, B-1200 Brussels, Belgium > > > >]
Lacroix, Geneviève [Royal Belgian Institute of Natural Sciences (RBINS), Management Unit of the North Sea Mathematical Models (MUMM/UGMM/BMM), 100 Gulledelle, B-1200 Brussels, Belgium > > > >]
Nechad, Bouchra [Royal Belgian Institute of Natural Sciences (RBINS), Management Unit of the North Sea Mathematical Models (MUMM/UGMM/BMM), 100 Gulledelle, B-1200 Brussels, Belgium > > > >]
Astoreca, Rosa [Université Libre de Bruxelles, Ecologie des Systèmes Aquatiques, Campus Plaine CP 221 B-1050 Ixelles, Belgium > > > >]
Rousseau, Véronique [Université Libre de Bruxelles, Ecologie des Systèmes Aquatiques, Campus Plaine CP 221 B-1050 Ixelles, Belgium > > > >]
Harlay, Jérôme mailto [Université de Liège - ULg > Département d'astrophys., géophysique et océanographie (AGO) > Océanographie chimique >]
2010
ESA Special Publication SP-686
No
International
ESA Living planet conference
28 June -2 July 2010
ESA
Bergen
Norway
[en] In coastal waters, a purely field observation based
approach will probably be insufficient to better
constrain estimates of air-sea CO2 fluxes, to study their
inter-annual variability and their long-term changes.
One approach to achieve these goals is to use remotely
sensed fields of relevant biogeochemical variables to
extrapolate available data, and produce maps of the
partial pressure of CO2 (pCO2) and air-sea CO2 fluxes.
In the open ocean this approach has to some extent been
successfully used based on fields of chlorophyll-a (Chla)
and sea surface temperature (SST). 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. In
the frame of the Belgian funded BELCOLOUR-II
project (Optical remote sensing of marine, coastal and
inland waters;
http://www.mumm.ac.be/BELCOLOUR/), three field
cruises per year (April, July and September) for optical
measurements were carried in 2007, 2008, 2009 in the
Southern Bight of the North Sea (SBNS). Based on
these data-sets, we derived algorithms to compute pCO2
from Chl-a and sea surface salinity (SSS) using multipolynomial
regressions (MPR). Here we report the first
application of the MPR algorithms to derive pCO2 fields
in the Belgian coastal zone based on data gathered in
2007, using remote sensed Chl-a (MERIS) and SSS
computed with a 3-D hydrodynamical model of SBNS
(COHERENS).
Researchers ; Professionals ; Students
http://hdl.handle.net/2268/81111

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