Articles | Volume 23, issue 23
https://doi.org/10.5194/acp-23-14691-2023
https://doi.org/10.5194/acp-23-14691-2023
Research article
 | 
29 Nov 2023
Research article |  | 29 Nov 2023

Assessing the cloud radiative bias at Macquarie Island in the ACCESS-AM2 model

Zhangcheng Pei, Sonya L. Fiddes, W. John R. French, Simon P. Alexander, Marc D. Mallet, Peter Kuma, and Adrian McDonald

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Cited articles

Alexander, S. and McDonald, A.: University of Canterbury's Vaisala CL51 Ceilometer at Macquarie Island 2016-2018, Version 1, Australian Antarctic Data Centre [data set], https://doi.org/10.26179/5d91835e2ccc3, 2020. a
Allan, R. P.: Evaluation of simulated clear-sky longwave radiation using ground-based observations, J. Climate, 13, 1951–1964, https://doi.org/10.1175/1520-0442(2000)013<1951:EOSCSL>2.0.CO;2, 2000. a, b
Bennartz, R., Shupe, M. D., Turner, D. D., Walden, V. P., Steffen, K., Cox, C. J., Kulie, M. S., Miller, N. B., and Pettersen, C.: July 2012 Greenland melt extent enhanced by low-level liquid clouds, Nature, 496, 83–86, https://doi.org/10.1038/nature12002, 2013. a
Bi, D., Dix, M., Marsland, S., O'farrell, S., Sullivan, A., Bodman, R., Law, R., Harman, I., Srbinovsky, J., Rashid, H. A., Dobrohotoff, P., Mackallah, C., Yan, H., Hirst, A., Savita, A., Dias, F. B., Woodhouse, M., Fiedler, R., and Heerdegen, A.: Configuration and spin-up of ACCESS-CM2, the new generation Australian Community Climate and Earth System Simulator Coupled Model, Journal of Southern Hemisphere Earth Systems Science, 70, 225–251, https://doi.org/10.1071/ES19040, 2020. a, b
Bodas-Salcedo, A., Webb, M. J., Bony, S., Chepfer, H., Dufresne, J. L., Klein, S. A., Zhang, Y., Marchand, R., Haynes, J. M., Pincus, R., and John, V. O.: COSP: Satellite simulation software for model assessment, B. Am. Meteorol. Soc., 92, 1023–1043, https://doi.org/10.1175/2011BAMS2856.1, 2011. a
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Short summary
In this paper, we use ground-based observations to evaluate a climate model and a satellite product in simulating surface radiation and investigate how radiation biases are influenced by cloud properties over the Southern Ocean. We find that significant radiation biases exist in both the model and satellite. The cloud fraction and cloud occurrence play an important role in affecting radiation biases. We suggest further development for the model and satellite using ground-based observations.
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