Impact of different solar penetration depths on climate
                        simulations

Zhou, Xiaobing; Marsland, Simon J.; Fiedler, Russell; Bi, Daohua; Hirst, Anthony C.; Alves, Oscar

doi:10.3402/tellusa.v67.25313

Cited by 6 publications

(2 citation statements)

References 30 publications

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“…The K dPAR data covers a broader, more representative spectrum of light and is considered more appropriate for use in ocean models. Detailed discussions on the impact of shortwave attenuation depth datasets on ocean climate simulation were given in Bi et al (2013a) and Zhou et al (2015).…”

Section: Ocean: Mom5mentioning

confidence: 99%

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

Dix

Marsland

et al. 2020

J. South. Hemisph. Earth Syst. Sci.

Self Cite

219

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A new version of the Australian Community Climate and Earth System Simulator coupled model, ACCESS-CM2, has been developed for a wide range of climate modelling research and applications. In particular, ACCESS-CM2 is one of Australia's contributions to the World Climate Research Programme's Coupled Model Intercomparison Project Phase 6 (CMIP6). Compared with the ACCESS1.3 model used for our CMIP5 submission, all model components have been upgraded as well as the coupling framework (OASIS3-MCT) and experiment control system (Rose/Cylc). The component models are: UM10.6 GA7.1 for the atmosphere, CABLE2.5 for the land surface, MOM5 for the ocean, and CICE5.1.2 for the sea ice. This paper describes the model configuration of ACCESS-CM2, documents the experimental set up, and assesses the model performance for the preindustrial spin-up simulation in comparison against (reconstructed) observations and ACCESS1.3 results. While the performance of the two generations of the ACCESS coupled model is largely comparable, ACCESS-CM2 shows better global hydrological balance, more realistic ocean water properties (in terms of spatial distribution) and meridional overturning circulation in the Southern Ocean but a poorer simulation of the Antarctic sea ice and a larger energy imbalance at the top of atmosphere. This energy imbalance reflects a noticeable warming trend of the global ocean over the spin-up period.

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Section: Ocean: Mom5mentioning

confidence: 99%

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

Dix

Marsland

et al. 2020

J. South. Hemisph. Earth Syst. Sci.

Self Cite

219

View full text Add to dashboard Cite

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“…where F SW is the associated per unit area radiant flux. In the baseline case L SW (λ, ϕ, t) is a two-dimensional monthly defined climatological map of the e-folding length scale applied at time t, derived from ocean color measurements (Xiaobing et al, 2015). Climatological maps used in the baseline case of L SW and monthly averaged α are illustrated in Figures S1 and S2 of the supporting information.…”

Section: Parameter Forward Modelmentioning

confidence: 99%

Ensemble Kalman Filter Parameter Estimation of Ocean Optical Properties for Reduced Biases in a Coupled General Circulation Model

Kitsios

Sandery

O’Kane

et al. 2021

J Adv Model Earth Syst

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Coupled general circulation models (GCM), and their atmospheric, oceanic, land, and sea‐ice components have many parameters. Some parameters determine the numerics of the dynamical core, while others are based on our current understanding of the physical processes being simulated. Many of these parameters are poorly known, often globally defined, and are subject to pragmatic choices arising from a complex interplay between grid resolution and inherent model biases. To address this problem, we use an ensemble transform Kalman filter, to estimate spatiotemporally varying maps of ocean albedo and shortwave radiation e‐folding length scale in a coupled climate GCM. These parameters are designed to minimize the error between short term (3–28 days) forecasts of the climate model and a network of real world atmospheric, oceanic, and sea‐ice observations. The data assimilation system has an improved fit to observations when estimating ocean albedo and shortwave e‐folding length scale either individually or simultaneously. However, only individually estimated maps of shortwave e‐folding length scale are also shown to systematically reduce bias in longer multiyear climate forecasts during an out‐of‐sample period. The bias of the multiyear forecasts is reduced for parameter maps determined from longer DA cycle lengths.

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Nonidentical mechanisms behind the North Pacific summer Blob events in the Satellite Era

Liu

Sun

2022

Clim Dyn

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Impact of different solar penetration depths on climate simulations

Cited by 6 publications

References 30 publications

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

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

Ensemble Kalman Filter Parameter Estimation of Ocean Optical Properties for Reduced Biases in a Coupled General Circulation Model

Nonidentical mechanisms behind the North Pacific summer Blob events in the Satellite Era

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