Configuration and spin-up of ACCESS-CM2, the new generation Australian Community Climate and Earth System Simulator Coupled Model

Bi, Daohua; Dix, Martin; Marsland, Simon J.; O’Farrell, Siobhan; Sullivan, Arnold; Bodman, Roger; Law, R. M.; Harman, Ian N.; Srbinovsky, Jhan; Rashid, Harun; Dobrohotoff, Peter; Mackallah, Chloe; Yan, Hailin; Hirst, Anthony C.; Savita, Abhishek; Dias, Fabio Boeira; Woodhouse, Matthew T.; Fiedler, Russell; Heerdegen, Aidan

doi:10.1071/es19040

Cited by 219 publications

(68 citation statements)

References 96 publications

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“…ACCESS-CM2 uses more recent configurations of its atmosphere and land model components and is run with higher vertical resolution. This paper describes the ACCESS-ESM1.5 model and ACCESS-CM2 is described by Bi et al (2020).…”

Section: Introductionmentioning

confidence: 99%

The Australian Earth System Model: ACCESS-ESM1.5

Ziehn

Chamberlain

Law

et al. 2020

J. South. Hemisph. Earth Syst. Sci.

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334

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The Australian Community Climate and Earth System Simulator (ACCESS) has been extended to include land and ocean carbon cycle components to form an Earth System Model (ESM). The current version, ACCESS-ESM1.5, has been mainly developed to enable Australia to participate in the Coupled Model Intercomparison Project Phase 6 (CMIP6) with an ESM version. Here we describe the model components and changes to the previous version, ACCESS-ESM1. We use the 500-year pre-industrial control run to highlight the stability of the physical climate and the carbon cycle. The long spin-up, negligible drift in temperature and small pre-industrial net carbon fluxes (0.02 and 0.08 PgC year−1 for land and ocean respectively) highlight the suitability of ACCESS-ESM1.5 to explore modes of variability in the climate system and coupling to the carbon cycle. The physical climate and carbon cycle for the present day have been evaluated using the CMIP6 historical simulation by comparing against observations and ACCESS-ESM1. Although there is generally little change in the climate simulation from the earlier model, many aspects of the carbon simulation are improved. An assessment of the climate response to CO2 forcing indicates that ACCESS-ESM1.5 has an equilibrium climate sensitivity of 3.87°C.

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Section: Introductionmentioning

confidence: 99%

The Australian Earth System Model: ACCESS-ESM1.5

Ziehn

Chamberlain

Law

et al. 2020

J. South. Hemisph. Earth Syst. Sci.

Self Cite

334

120

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“…The CAFE60v1 SOAC transport (supplemental Fig. 7) averages 19 Sv and is at the upper range of values reported for CORE forced ocean simulations (Bi et al 2013). Drake Passage transport (Fig.…”

Section: Meridional Overturning Streamfunction and Transportsmentioning

confidence: 63%

“…To obtain strength of overturning for a particular common index and to compare to generally very limited observations, we follow Bi et al (2013) and simply identify the maximum value within a particular depth and latitude box. The ranges of these boxes are as follows: Note that AMOC268N is identified at the two longitudes 25.58 and 26.58N that span the required 268N.…”

Section: Meridional Overturning Streamfunction and Transportsmentioning

confidence: 99%

CAFE60v1: A 60-year large ensemble climate reanalysis. Part II: Evaluation

et al. 2021

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The CSIRO Climate retrospective Analysis and Forecast Ensemble system: version 1 (CAFE60v1) provides a large (96 member) ensemble retrospective analysis of the global climate system from 1960 to present with sufficiently many realizations and at spatio-temporal resolutions suitable to enable probabilistic climate studies. Using a variant of the ensemble Kalman filter, 96 climate state estimates are generated over the most recent six decades. These state estimates are constrained by monthly mean ocean, atmosphere and sea ice observations such that their trajectories track the observed state while enabling estimation of the uncertainties in the approximations to the retrospective mean climate over recent decades. For the atmosphere, we evaluate CAFE60v1 in comparison to empirical indices of the major climate teleconnections and blocking with various reanalysis products. Estimates of the large scale ocean structure, transports and biogeochemistry are compared to those derived from gridded observational products and climate model projections (CMIP). Sea ice (extent, concentration and variability) and land surface (precipitation and surface air temperatures) are also compared to a variety of model and observational products. Our results show that CAFE60v1 is a useful, comprehensive and unique data resource for studying internal climate variability and predictability, including the recent climate response to anthropogenic forcing on multi-year to decadal time scales.

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Section: Accepted Articlementioning

confidence: 99%