Grant: Discovery Grants Program - Individual
Memorial University of Newfoundland
$26,000.00
Glacial ice and climate dynamics: data-integrated modelling
EF 2011-12
Résumé
The past offers a powerful window for understanding future climate change. Evidence from the past, for instance, suggests that ice and melt-water discharge has played a critical role in abrupt climate change. In this general context, the research will target three fundamental objectives. First, to reconstruct and subsequently refine well-constrained deglacial (and eventually full glacial cycle) ice-sheet and melt-water chronologies with well-defined error bars. Second, extending this, to elucidate the role of melt-water fluxes in climate change during the last glacial cycle. Finally, probability distributions for the future evolution of the present-day ice-sheets will be determined and over time refined.
The approach taken involves a sequence of statistically rigorous calibrations of a 3-dimensional glacial and climate system model against large and diverse sets of paleo data (including relative sea-level data, geodetic observations, and pro-glacial lake levels). After construction of an interim calibrated global deglacial ice and melt-water chronology, the dynamical role of melt-water fluxes will be analyzed through coupled ocean-atmospheric-vegetation and glacial system modelling. Running the calibrated fully coupled model into the future will provide probability distributions for the future evolution of the present-day ice-sheets. This will address a major gap in current climate change assessments.
The novelty of this work lies in the application of a comprehensive earth systems modelling approach that is highly data-integrated and probabilistic to major questions concerning polar climate stability and the role of melt-water in abrupt climate change. More generally, the work will be a case study in improving methodologies for rigorously analyzing the dynamics of complex nonlinear physical systems in an observation-grounded manner.
Programme
Discovery Grants Program - Individual
Bénéficiaire
Emplacement
Newfoundland and Labrador, Canada
Type de bénéficiaire
Academia
Type
Grant
Source
NSERC's Awards Data
Tel que publié
Application id
341699-2007
Name nom
Tarasov, Lev
Department département
Physics and Physical Oceanography
Organization id
89
Institution établissement
Memorial University of Newfoundland
Province en
Newfoundland and Labrador
Province fr
Terre-Neuve-et-Labrador
Country en
CANADA
Country fr
CANADA
Fiscal year exercice financier
2011
Competition year année de concours
2007
Award amount
26000
Program id
RGPIN
Program nane 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
1203
Area of application group en
Advancement of knowledge
Area of application group fr
Avancement des connaissances
Area of application en
Earth sciences
Area of application fr
Sciences de la terre
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
5
Nb partie
5
Application title
Glacial ice and climate dynamics: data-integrated modelling
Keyword
NSERC
Application summary
The past offers a powerful window for understanding future climate change. Evidence from the past, for instance, suggests that ice and melt-water discharge has played a critical role in abrupt climate change. In this general context, the research will target three fundamental objectives. First, to reconstruct and subsequently refine well-constrained deglacial (and eventually full glacial cycle) ice-sheet and melt-water chronologies with well-defined error bars. Second, extending this, to elucidate the role of melt-water fluxes in climate change during the last glacial cycle. Finally, probability distributions for the future evolution of the present-day ice-sheets will be determined and over time refined.
The approach taken involves a sequence of statistically rigorous calibrations of a 3-dimensional glacial and climate system model against large and diverse sets of paleo data (including relative sea-level data, geodetic observations, and pro-glacial lake levels). After construction of an interim calibrated global deglacial ice and melt-water chronology, the dynamical role of melt-water fluxes will be analyzed through coupled ocean-atmospheric-vegetation and glacial system modelling. Running the calibrated fully coupled model into the future will provide probability distributions for the future evolution of the present-day ice-sheets. This will address a major gap in current climate change assessments.
The novelty of this work lies in the application of a comprehensive earth systems modelling approach that is highly data-integrated and probabilistic to major questions concerning polar climate stability and the role of melt-water in abrupt climate change. More generally, the work will be a case study in improving methodologies for rigorously analyzing the dynamics of complex nonlinear physical systems in an observation-grounded manner.