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Grant: Research Tools and Instruments

Concordia University

$72,852.00

Computing infrastructure for simulating the global and regional climate response to cumulative emissions

EF 2016-17

Résumé
The idea of measuring climate change as a function of cumulative CO2 emissions has emerged in the past five years as a simple and effective tool to understand and quantify how global temperatures respond to human emissions. In particular, the finding that climate warming responds linearly to cumulative carbon emissions is a powerful way to frame the climate problem, and opens avenues for both changing how we approach climate mitigation, as well as better predicting the climate impacts associated with a given emission pathway. This research area has focussed to date only on quantifying the globally-averaged temperature change that results from cumulative emissions of CO2. There has been relatively much less study of the climate response to cumulative emissions non-CO2 gases, which are responsibly for more than a third of historical climate warming. Furthermore, most climate impacts manifest at a local scale, in response to regional changes in temperature and precipitation. Consequently, there is a need to incorporate spatial information into the cumulative emissions framework to so as to better link human emissions to local and regional climate changes and impacts. In this proposed research, I will build a modelling framework to (a) quantify the global climate response to both CO2 and non-CO2 greenhouse gas emissions, and (b) expand the current global relationship between temperature and cumulative emissions to a regional scale, thereby linking human greenhouse gas emissions directly to local climate changes.
Programme
Research Tools and Instruments
Bénéficiaire
Emplacement
Quebec, Canada
Type de bénéficiaire
Academia
Type
Grant
Source
NSERC's Awards Data

Tel que publié

Application id
RTI-2017-00692
Name nom
Matthews, HDamon
Department département
Geography, Planning and Environment - Geography, Planning and Environment
Organization id
70
Institution établissement
Concordia University
Province en
Québec
Province fr
Québec
Country en
CANADA
Country fr
CANADA
Fiscal year exercice financier
2016
Competition year année de concours
2017
Award amount
72852
Program id
RTI
Program name en
Research Tools and Instruments
Program name fr
Outils et instruments de recherche
Group en
Discovery grants programs
Group fr
Programmes de subventions à la découverte
Committee code
1603
Committee name en
Environmental Sciences (RTI)
Committee name fr
Sciences environnementales (OIR)
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
4404
Research subject group en
Atmospheric science
Research subject group fr
Étude de l'atmosphère
Research subject en
Climatology
Research subject fr
Climatologie
Partie
1
Nb partie
1
Application title
Computing infrastructure for simulating the global and regional climate response to cumulative emissions
Keyword
NSERC
Application summary
The idea of measuring climate change as a function of cumulative CO2 emissions has emerged in the past five years as a simple and effective tool to understand and quantify how global temperatures respond to human emissions. In particular, the finding that climate warming responds linearly to cumulative carbon emissions is a powerful way to frame the climate problem, and opens avenues for both changing how we approach climate mitigation, as well as better predicting the climate impacts associated with a given emission pathway. This research area has focussed to date only on quantifying the globally-averaged temperature change that results from cumulative emissions of CO2. There has been relatively much less study of the climate response to cumulative emissions non-CO2 gases, which are responsibly for more than a third of historical climate warming. Furthermore, most climate impacts manifest at a local scale, in response to regional changes in temperature and precipitation. Consequently, there is a need to incorporate spatial information into the cumulative emissions framework to so as to better link human emissions to local and regional climate changes and impacts. In this proposed research, I will build a modelling framework to (a) quantify the global climate response to both CO2 and non-CO2 greenhouse gas emissions, and (b) expand the current global relationship between temperature and cumulative emissions to a regional scale, thereby linking human greenhouse gas emissions directly to local climate changes.