Grant: Discovery Grants Program - Individual
Memorial University of Newfoundland
$30,000.00
Examining the glacial cycle phase space through data-integrated glacial systems modelling
EF 2018-19
Résumé
The past is our fuzzy window to the future. Through this window, tantalizing discrepancies point to cracks*in our understanding of the coupled ice, earth, and climate system. The last 130,000 year history of ice and*climate change offers major changes in the state of the climate system as well as examples of abrupt tipping*point behaviour.*The dynamical source of the variability of this system is still poorly understood. There are also perplexing*shortfalls in explaining inferred global mean sea level at Last Glacial Maximum (the problem of missing*ice) as well the source of an inferred 6-10 m higher sea level during the last (Eemian) interglacial, about*125,000 years ago.*Scientific assessments of potential climate change rely heavily on climate models. Though replication of*present-day climate is a challenging test for models, it is only a limited test since these models are already*tuned to fit the present. To answer questions related to potentially large changes in the climate system*(especially so-called tipping points), models are best tested against the past.*Critical to these tests is a confident inference of the past change in topography, ice cover, and associated*meltwater drainage into the ocean. The proposed research will significantly refine these inferences through*statistically robust integration of advanced computed models and large diverse sets of paleo data. This*will either resolve or further clarify the missing ice issue. The research program will also apply these*refined ice chronologies to direct examination of variability in the glacial ice and climate system with models*encompassing the climate, ice sheet, and earth components.*By deploying increasingly sophisticated models within this framework, we will test the extent to which*current models and understanding can replicate and explain past ice sheet evolution and instability events.*These tests will in turn facilitate the estimation of uncertainties concerning both future ice sheet evolution*and associated ice sheet interactions with the climate system, addressing a major gap in current climate*change assessments.
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
RGPIN-2018-06658
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
2018
Competition year année de concours
2018
Award amount
30000
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
1506
Committee name en
Geosciences
Committee name fr
Géosciences
Area of application code
401
Area of application group en
Environment
Area of application group fr
Environnement
Area of application en
Climate and atmosphere
Area of application fr
Climat et atmosphère
Research subject code
4011
Research subject group en
Earth science
Research subject group fr
Sciences de la terre
Research subject en
Paleoclimatology
Research subject fr
Paléoclimatologie
Partie
1
Nb partie
5
Application title
Examining the glacial cycle phase space through data-integrated glacial systems modelling
Keyword
NSERC
Application summary
The past is our fuzzy window to the future. Through this window, tantalizing discrepancies point to cracks*in our understanding of the coupled ice, earth, and climate system. The last 130,000 year history of ice and*climate change offers major changes in the state of the climate system as well as examples of abrupt tipping*point behaviour.*The dynamical source of the variability of this system is still poorly understood. There are also perplexing*shortfalls in explaining inferred global mean sea level at Last Glacial Maximum (the problem of missing*ice) as well the source of an inferred 6-10 m higher sea level during the last (Eemian) interglacial, about*125,000 years ago.*Scientific assessments of potential climate change rely heavily on climate models. Though replication of*present-day climate is a challenging test for models, it is only a limited test since these models are already*tuned to fit the present. To answer questions related to potentially large changes in the climate system*(especially so-called tipping points), models are best tested against the past.*Critical to these tests is a confident inference of the past change in topography, ice cover, and associated*meltwater drainage into the ocean. The proposed research will significantly refine these inferences through*statistically robust integration of advanced computed models and large diverse sets of paleo data. This*will either resolve or further clarify the missing ice issue. The research program will also apply these*refined ice chronologies to direct examination of variability in the glacial ice and climate system with models*encompassing the climate, ice sheet, and earth components.*By deploying increasingly sophisticated models within this framework, we will test the extent to which*current models and understanding can replicate and explain past ice sheet evolution and instability events.*These tests will in turn facilitate the estimation of uncertainties concerning both future ice sheet evolution*and associated ice sheet interactions with the climate system, addressing a major gap in current climate*change assessments.