The Canadian Earth System Model version 5 (CanESM5.0.3)
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Published:2019-11-25
Issue:11
Volume:12
Page:4823-4873
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ISSN:1991-9603
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Container-title:Geoscientific Model Development
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language:en
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Short-container-title:Geosci. Model Dev.
Author:
Swart Neil C.ORCID, Cole Jason N. S.ORCID, Kharin Viatcheslav V., Lazare Mike, Scinocca John F., Gillett Nathan P.ORCID, Anstey JamesORCID, Arora Vivek, Christian James R., Hanna Sarah, Jiao Yanjun, Lee Warren G., Majaess Fouad, Saenko Oleg A., Seiler ChristianORCID, Seinen ClintORCID, Shao Andrew, Sigmond Michael, Solheim Larry, von Salzen KnutORCID, Yang DuoORCID, Winter Barbara
Abstract
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 equivalent roughly to 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
(5.6 K) than its predecessor, CanESM2 (3.7 K), which we briefly discuss, along
with simulated changes over the historical period. CanESM5 simulations
contribute to the Coupled Model Intercomparison Project phase 6 (CMIP6)
and will be employed for climate science and service applications in Canada.
Publisher
Copernicus GmbH
Reference98 articles.
1. Adler, R. F., Sapiano, M., Huffman, G. J., Wang, J., Gu, G., Bolvin, D., Chiu, L., Schneider, U., Becker, A., Nelkin, E., Xie, P., Ferraro, R., and Shin, D.-B.: The Global Precipitation
Climatology Project (GPCP) Monthly Analysis (New Version 2.3) and a Review
of 2017 Global Precipitation, Atmosphere, 9, 138,
https://doi.org/10.3390/atmos9040138, 2018. 2. Antonov, J. I., Seidov, D., Boyer, T. P., Locarnini, R. A., Mishonov, A. V.,
Garcia, H. E., Baranova, O. K., Zweng, M. M., and Johnson, D. R.: World
Ocean Atlas 2009, Volume 2: Salinity. S. Levitus, Ed. NOAA Atlas NESDIS 69,
U.S. Government Printing Office, Washington, DC, 184 pp., 2010. 3. Arora, V. K.: Simulating energy and carbon fluxes over winter wheat using
coupled land surface and terrestrial ecosystem models, Agr.
Forest Meteorol., 118, 21–47, 2003. 4. Arora, V. K. and Boer, G. J.: A variable velocity flow routing algorithm for
GCMs, J. Geophys. Res., 104, 30965–30979, 1999. 5. Arora, V. K. and Boer, G. J.: A representation of variable root distribution
in dynamic vegetation models, Earth Interact., 7, 19 pp.,
2003.
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