期刊
CLIMATE DYNAMICS
卷 44, 期 3-4, 页码 633-659出版社
SPRINGER
DOI: 10.1007/s00382-014-2160-2
关键词
Dynamical downscaling; Physics parameterisation; Regional climate modeling; WRF
资金
- Australian Grains Research and Development Grant [MCV00013]
- Australian Research Council Centre of Excellence for Climate System Science [CE110001028]
- Australian Postgraduate Award
- Grains Industry Research Scholarship
- National Science Foundation (NSF)
Regional climate models are sensitive to the forcing data used, as well as different model physics options. Additionally, the behaviour of physics parameterisations may vary depending on the location of the domain due to different climatic regimes. In this study, we carry out a sensitivity analysis of the weather research and forecasting model to different driving data and model physics options over a 10-km resolution domain in the southwest of Western Australia, a region with Mediterranean climate. Simulations are carried out on a seasonal time-scale, in order to better inform future long-term regional climate simulations for this region. We show that the choice of radiation scheme had a strong influence on both temperature and precipitation; the choice of planetary boundary layer scheme has a particularly large influence on minimum temperatures; and, the choice of cumulus scheme or more complex micro-physics did not strongly influence precipitation simulations. More importantly, we show that the same radiation scheme, when used with different driving data, can lead to different results.
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