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首页> 外文期刊>ournal of the Meteorological Society of Japan >Response of Arakawa-Schubert Cumulus Parameterization Model to Real Data in the Heavy Rainfalls Area
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Response of Arakawa-Schubert Cumulus Parameterization Model to Real Data in the Heavy Rainfalls Area

机译:暴雨地区荒川-舒伯特积云参数化模型对真实数据的响应

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Real data response of Arakawa-Scubert cumulus parameterization (CU) is studied for the case of heavy rainfalls occurred over Kyushu (western part of Japan) on June 27, 1972.We study the influence of large-scale forcing on heavy rainfalls through time-integration of a simple one-dimensional model including CU, large-scale condensation (LSC) and middlelevel convective adjustment (ML) with observed rate of large-scale heating and moistening. Model simulates observed features well. Results indicate that ML plays an important role inwarm sector of depression, while LSC and CU play around the trailing portion of front where heavy rainfalls occur. During the earlier period of heavy rainfalls, LSC plays an important role and during the latter half period CU plays an important role. CU and ML work to stabilize the stratification cancelling the stability change caused by large-scale forcing.
机译:针对1972年6月27日九州(日本西部)发生强降雨的情况,研究了Arakawa-Scubert积云参数化(CU)的真实数据响应。将一个简单的一维模型(包括CU,大规模冷凝(LSC)和中层对流调节(ML))与观察到的大规模加热和润湿速率进行集成。模型可以很好地模拟观察到的特征。结果表明,ML在抑郁的温暖区域起着重要作用,而LSC和CU在发生大雨的锋线的后部附近起着重要作用。在强降雨的早期,LSC发挥了重要作用,而在下半年,CU发挥了重要作用。 CU和ML致力于稳定分层,从而消除了由大规模强迫造成的稳定性变化。

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