Improving summer precipitation seasonal prediction in China using CWRF downscaling of BCC_CSM1.1m
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    Abstract:

    The regional Climate-Weather Research and Forecasting model (CWRF) is used to downscale the National Climate Center’s operational short-term climate prediction based on the Beijing Climate Center Climate System Model (BCC_CSM1.1m). The prediction skill is assessed for daily precipitation and surface air temperature (2 m) from March to August during 1991—2010. As compared to BCC_CSM1.1m, CWRF predicts more realistic seasonal mean precipitation and temperature spatial distributions and resolves more detailed features over mountainous regions with large terrain variations. It also predicts interannual variations in precipitation East and Central China more accurately. Overall, CWRF outperforms BCC_CSM1.1m in predicting precipitation of different intensities, especially extreme events. Benefiting from higher spatial resolution and advanced physical process simulation at lower levels, CWRF downscaling can improve the seasonal prediction of summer precipitation in China.

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张焓,梁信忠,汪方,谢冰,李清泉,2023. CWRF降尺度提高BCC_CSM1.1m对中国夏季降水跨季度动力预测能力[J].大气科学学报,46(2):161-179.
ZHANG Han, LIANG Xinzhong, WANG Fang, XIE Bing, LI Qingquan,2023. Improving summer precipitation seasonal prediction in China using CWRF downscaling of BCC_CSM1.1m[J]. Trans Atmos Sci,46(2):161-179. DOI:10.13878/j. cnki. dqkxxb.20210116001

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History
  • Received:January 16,2021
  • Revised:April 30,2021
  • Adopted:
  • Online: April 19,2023
  • Published: March 28,2023
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