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DOI | 10.1007/s00382-019-04672-w |
Evaluating reanalysis-driven CORDEX regional climate models over Australia: model performance and errors | |
Di Virgilio, Giovanni1; Evans, Jason P.1,2; Di Luca, Alejandro1,2; Olson, Roman3,4,5; Argueeso, Daniel6; Kala, Jatin7; Andrys, Julia7; Hoffmann, Peter8,9; Katzfey, Jack J.8; Rockell, Burkhardt10 | |
2019-09-01 | |
发表期刊 | CLIMATE DYNAMICS |
ISSN | 0930-7575 |
EISSN | 1432-0894 |
出版年 | 2019 |
卷号 | 53页码:2985-3005 |
文章类型 | Article |
语种 | 英语 |
国家 | Australia; South Korea; Spain; Germany |
英文摘要 | The ability of regional climate models (RCMs) to accurately simulate current and future climate is increasingly important for impact assessment. This is the first evaluation of all reanalysis-driven RCMs within the CORDEX Australasia framework [four configurations of the Weather Forecasting and Research (WRF) model, and single configurations of COSMO-CLM (CCLM) and the Conformal-Cubic Atmospheric Model (CCAM)] to simulate the historical climate of Australia (1981-2010) at 50 km resolution. Simulations of near-surface maximum and minimum temperature and precipitation were compared with gridded observations at annual, seasonal, and daily time scales. The spatial extent, sign, and statistical significance of biases varied markedly between the RCMs. However, all RCMs showed widespread, statistically significant cold biases in maximum temperature which were the largest during winter. This bias exceeded - 5 K for some WRF configurations, and was the lowest for CCLM at +/- 2 K. Most WRF configurations and CCAM simulated minimum temperatures more accurately than maximum temperatures, with biases in the range of +/- 1.5 K. RCMs overestimated precipitation, especially over Australia's populous eastern seaboard. Strong negative correlations between mean monthly biases in precipitation and maximum temperature suggest that the maximum temperature cold bias is linked to precipitation overestimation. This analysis shows that the CORDEX Australasia ensemble is a valuable dataset for future impact studies, but improving the representation of land surface processes, and subsequently of surface temperatures, will improve RCM performance. The varying RCM capabilities identified here serve as a foundation for the development of future regional climate projections and impact assessments for Australia. |
英文关键词 | Australian climate CORDEX-Australasia Dynamical downscaling Model bias Precipitation Temperature |
领域 | 气候变化 |
收录类别 | SCI-E |
WOS记录号 | WOS:000483626900030 |
WOS关键词 | HIGH-RESOLUTION SIMULATIONS ; COSMO-CLM ; MINIMUM TEMPERATURE ; AFRICA DOMAIN ; PRECIPITATION ; WRF ; SCHEME ; SCALE ; PARAMETERIZATION ; VARIABILITY |
WOS类目 | Meteorology & Atmospheric Sciences |
WOS研究方向 | Meteorology & Atmospheric Sciences |
引用统计 | |
文献类型 | 期刊论文 |
条目标识符 | http://119.78.100.173/C666/handle/2XK7JSWQ/186358 |
专题 | 气候变化 |
作者单位 | 1.Univ New South Wales, Climate Change Res Ctr, Sydney, NSW, Australia; 2.Univ New South Wales, Australian Res Council Ctr Excellence Climate Ext, Sydney, NSW, Australia; 3.Yonsei Univ, Dept Atmospher Sci, Seoul, South Korea; 4.Inst Basic Sci, Ctr Climate Phys, Busan, South Korea; 5.Pusan Natl Univ, Busan, South Korea; 6.Univ Balearic Isl, Dept Phys, Palma De Mallorca, Spain; 7.Murdoch Univ, Environm & Conservat Sci, Murdoch, WA 6150, Australia; 8.CSIRO Oceans & Atmosphere, Climate Sci Ctr, Aspendale, Vic, Australia; 9.Helmholtz Zentrum Geesthacht, Climate Serv Ctr Germany GERICS, Hamburg, Germany; 10.Helmholtz Zentrum Geesthacht, Inst Coastal Res, Geesthacht, Germany |
推荐引用方式 GB/T 7714 | Di Virgilio, Giovanni,Evans, Jason P.,Di Luca, Alejandro,et al. Evaluating reanalysis-driven CORDEX regional climate models over Australia: model performance and errors[J]. CLIMATE DYNAMICS,2019,53:2985-3005. |
APA | Di Virgilio, Giovanni.,Evans, Jason P..,Di Luca, Alejandro.,Olson, Roman.,Argueeso, Daniel.,...&Rockell, Burkhardt.(2019).Evaluating reanalysis-driven CORDEX regional climate models over Australia: model performance and errors.CLIMATE DYNAMICS,53,2985-3005. |
MLA | Di Virgilio, Giovanni,et al."Evaluating reanalysis-driven CORDEX regional climate models over Australia: model performance and errors".CLIMATE DYNAMICS 53(2019):2985-3005. |
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