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The Canadian Earth System Model version 5 (CanESM5.0.3).

Authors :
Swart, Neil C.
Cole, Jason N. S.
Kharin, Viatcheslav V.
Lazare, Mike
Scinocca, John F.
Gillett, Nathan P.
Anstey, James
Arora, Vivek
Christian, James R.
Hanna, Sarah
Yanjun Jiao
Lee, Warren G.
Majaess, Fouad
Saenko, Oleg A.
Seiler, Christian
Seinen, Clint
Shao, Andrew
Solheim, Larry
von Salzen, Knut
Duo Yang
Source :
Geoscientific Model Development Discussions. 2019, p1-68. 68p.
Publication Year :
2019

Abstract

The Canadian Earth System Model version 5 (CanESM5) is a global model developed to simulate historical climate change and variability, to make centennial scale projections of future climate, and to produce initialized seasonal and decadal predictions. This paper describes the model components and their coupling, as well as various aspects of model development, including tuning, optimization and a reproducibility strategy. We also document the stability of the model using a long control simulation, quantify the model's ability to reproduce large scale features of the historical climate, and evaluate the response of the model to external forcing. CanESM5 is comprised of three dimensional atmosphere (T63 spectral resolution/2.8°) and ocean (nominally 1°) general circulation models, a sea ice model, a land surface scheme, and explicit land and ocean carbon cycle models. The model features relatively coarse resolution and high throughput, which facilitates the production of large ensembles. CanESM5 has a notably higher equilibrium climate sensitivity (5.7 K) than its predecessor CanESM2 (3.8 K), which we briefly discuss, along with simulated changes over the historical period. CanESM5 simulations are contributing to the Coupled Model Intercomparison Project Phase 6 (CMIP6), and will be employed for climate science and service applications in Canada. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
19919611
Database :
Academic Search Index
Journal :
Geoscientific Model Development Discussions
Publication Type :
Academic Journal
Accession number :
137899523
Full Text :
https://doi.org/10.5194/gmd-2019-177