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Validating the dynamic downscaling ability of WRF for East Asian summer climate

机译:验证WRF在东亚夏季气候下的动态降尺度能力

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摘要

To better understand the regional climate model (RCM) performance for East Asian summer climate and the influencing factors, this study evaluated the dynamic downscaling ability of the Weather Research Forecast (WRF) RCM. According to the comprehensive comparison studies on different physical processes and experimental settings, the optimal combination of WRF model setups can be obtained for East Asian precipitation and temperature simulations. Furthermore, based on the optimal combination, when compared with climate observations, WRF shows high ability to downscale NCEP DOE Reanalysis-2, which provided initial and lateral boundary conditions for the WRF, especially for the precipitation simulation due to the better simulated low-level water vapor flux. However, the strengthened Western North Pacific Subtropical High (WPSH) from WRF simulation results in the positive anomaly for summer rainfall.
机译:为了更好地了解东亚夏季气候的区域气候模型(RCM)性能及其影响因素,本研究评估了Weather Research Forecast(WRF)RCM的动态降尺度能力。根据对不同物理过程和实验设置的综合比较研究,可以为东亚降水和温度模拟获得WRF模型设置的最佳组合。此外,在最佳组合的基础上,与气候观测相比,WRF具有降低NCEP DOE Reanalysis-2的能力,这为WRF提供了初始和横向边界条件,特别是由于更好的模拟低空条件,为降水模拟提供了条件水蒸气通量。然而,由WRF模拟得到的加强的北太平洋副热带高压(WPSH)结果导致了夏季降水的正异常。

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  • 来源
    《Theoretical and applied climatology》 |2017年第2期|241-253|共13页
  • 作者单位

    Chinese Acad Sci, Inst Geog Sci & Natl Resources Res, Key Lab Land Surface Pattern & Simulat, Beijing 100101, Peoples R China;

    Chinese Acad Sci, Inst Geog Sci & Natl Resources Res, Key Lab Land Surface Pattern & Simulat, Beijing 100101, Peoples R China|Univ Chinese Acad Sci, Beijing 100049, Peoples R China;

    Univ Calif Los Angeles, Dept Geog, Dept Atmospher & Ocean Sci, Los Angeles, CA 90095 USA;

    Chinese Acad Sci, Inst Geog Sci & Natl Resources Res, Key Lab Land Surface Pattern & Simulat, Beijing 100101, Peoples R China;

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