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Grant: Discovery Grants Program - Individual

Université du Québec à Rimouski

$25,000.00

Impacts of climate changes on light-stimulated carbon fluxes in the Arctic Ocean: quantification of primary production and photooxidation using satellite remote sensing

EF 2012-13

Résumé
During the last 3 decades, the Arctic Ocean has lost 50% of its permanent sea ice cover, exposing more surface waters to direct solar radiation. This phenomenon stimulates light-driven carbon processes: primary production by phytoplankton and photo-oxidation of dissolved organic matter (DOM). While the stimulation of primary producers by increased light availability has been recently documented, the impacts of this radiative forcing on photochemical oxidation of DOM and the net balance between light-driven carbon fluxes has received little attention thus far. Indeed, DOM in the Arctic Ocean surface originates largely from northern terrestrial ecosystems, which store nearly one third of global soil organic carbon. These ecosystems are currently experiencing important biogeochemical transformations under a warming climate, modifying the quantity and chemical character of terrigenous DOM, and the relative abundance of organic and inorganic nutrient inputs into the Arctic Ocean. Here I propose a framework to study the net balance between light-stimulated carbon fluxes in the Arctic Ocean using a diagnostic modelling approach. Therefore, a satellite-based spectral radiative transfer model for the coupled atmosphere-ocean system will be developed to quantify photochemical processes and assess trends in the net balance between primary production and photoooxidation. The parameterization of the photochemical models will be based on in situ observations gathered during research cruises in the Arctic Ocean. In order to predict variation in these photochemical parameters, their variability will be investigated in relation to observable or calculable environmental parameters. The novelty of this proposal resides in the synergetic use of various remotely sensed parameters of the environment merged within a diagnostic modelling approach to answer fundamental questions regarding climate change feedbacks. In particular, the work will aim to exploit the continuous ocean colour observations provided by satellites since 1997. The results should benefit studies focusing on remote sensing problems, global biogeochemical cycles, climate modeling, marine photosynthesis and DOM photochemistry.
Programme
Discovery Grants Program - Individual
Emplacement
Quebec, Canada
Type de bénéficiaire
Academia
Type
Grant
Source
NSERC's Awards Data

Tel que publié

Application id
355774-2009
Name nom
Bélanger, Simon
Department département
Biologie, Chimie et Géographie
Organization id
58
Institution établissement
Université du Québec à Rimouski
Province en
Québec
Province fr
Québec
Country en
CANADA
Country fr
CANADA
Fiscal year exercice financier
2012
Competition year année de concours
2009
Award amount
25000
Program id
RGPIN
Program name en
Discovery Grants Program - Individual
Program name fr
Programme de subventions à la découverte - individuelles
Group en
Discovery grants programs
Group fr
Programmes de subventions à la découverte
Committee code
9
Committee name en
Environmental Earth Sciences
Committee name fr
Sc. de la Terre : environ.
Area of application code
402
Area of application group en
Environment
Area of application group fr
Environnement
Area of application en
Oceans, seas and estuaries
Area of application fr
Océans, mers et estuaires
Research subject code
4013
Research subject group en
Earth science
Research subject group fr
Sciences de la terre
Research subject en
Earth-systems science
Research subject fr
Sciences des systèmes terrestres
Partie
4
Nb partie
5
Application title
Impacts of climate changes on light-stimulated carbon fluxes in the Arctic Ocean: quantification of primary production and photooxidation using satellite remote sensing
Keyword
NSERC
Application summary
During the last 3 decades, the Arctic Ocean has lost 50% of its permanent sea ice cover, exposing more surface waters to direct solar radiation. This phenomenon stimulates light-driven carbon processes: primary production by phytoplankton and photo-oxidation of dissolved organic matter (DOM). While the stimulation of primary producers by increased light availability has been recently documented, the impacts of this radiative forcing on photochemical oxidation of DOM and the net balance between light-driven carbon fluxes has received little attention thus far. Indeed, DOM in the Arctic Ocean surface originates largely from northern terrestrial ecosystems, which store nearly one third of global soil organic carbon. These ecosystems are currently experiencing important biogeochemical transformations under a warming climate, modifying the quantity and chemical character of terrigenous DOM, and the relative abundance of organic and inorganic nutrient inputs into the Arctic Ocean. Here I propose a framework to study the net balance between light-stimulated carbon fluxes in the Arctic Ocean using a diagnostic modelling approach. Therefore, a satellite-based spectral radiative transfer model for the coupled atmosphere-ocean system will be developed to quantify photochemical processes and assess trends in the net balance between primary production and photoooxidation. The parameterization of the photochemical models will be based on in situ observations gathered during research cruises in the Arctic Ocean. In order to predict variation in these photochemical parameters, their variability will be investigated in relation to observable or calculable environmental parameters. The novelty of this proposal resides in the synergetic use of various remotely sensed parameters of the environment merged within a diagnostic modelling approach to answer fundamental questions regarding climate change feedbacks. In particular, the work will aim to exploit the continuous ocean colour observations provided by satellites since 1997. The results should benefit studies focusing on remote sensing problems, global biogeochemical cycles, climate modeling, marine photosynthesis and DOM photochemistry.