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首页> 外文期刊>Advances in Atmospheric Sciences >Soil Moisture Retrieval from Satellite Images and Its Application to Heavy Rainfall Simulation in Eastern China
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Soil Moisture Retrieval from Satellite Images and Its Application to Heavy Rainfall Simulation in Eastern China

机译：卫星图像反演土壤水分及其在华东暴雨模拟中的应用

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The soil water index (SWI) from satellite remote sensing and the observational soil moisture from agricultural meteorological stations in eastern China are used to retrieve soil moisture. The analysis of correlation coefficient (CORR), root-mean-square-error (RMSE) and bias (BIAS) shows that the retrieved soil moisture is convincible and close to the observation. The method can overcome the difficulties in soil moisture observation on a large scale and the retrieved soil moisture may reflect the distribution of the real soil moisture objectively. The retrieved soil moisture is used as an initial scheme to replace initial conditions of soil moisture (NCEP) in the model MM5V3 to simulate the heavy rainfall in 1998. Three heavy rainfall processes during 13-14 June, 18-22 June, and 21-26 July 1998 in the Yangtze River valley are analyzed. The first two processes show that the intensity and location of simulated precipitation from SWI are better than those from NCEP and closer to the observed values. The simulated heavy rainfall for 21-26 July shows that the update of soil moisture initial conditions can improve the model's performance. The relationship between soil moisture and rainfall may explain that the stronger rainfall intensity for SWI in the Yangtze River valley is the result of the greater simulated soil moisture from SWI prior to the heavy rainfall date than that from NCEP, and leads to the decline of temperature in the corresponding area in the heavy rainfall days. Detailed analysis of the heavy rainfall on 13-14 June shows that both land-atmosphere interactions and atmospheric circulation were responsible for the heavy rainfall, and it shows how the SWI simulation improves the simulation. The development of mesoscale systems plays an important role in the simulation regarding the change of initial soil moisture for SWI.
机译：卫星遥感的土壤水分指数（SWI）和中国东部农业气象站的观测土壤水分被用来获取土壤水分。对相关系数（CORR），均方根误差（RMSE）和偏差（BIAS）的分析表明，所取回的土壤水分具有说服力并且接近观测值。该方法可以克服大规模观测土壤水分的困难，所取回的土壤水分可以客观地反映实际土壤水分的分布。取回的土壤水分被用作替代MM5V3模型中土壤水分（NCEP）初始条件的初始方案，以模拟1998年的强降雨。6月13日至14日，6月18日至22日以及21- 1998年7月26日在长江流域进行了分析。前两个过程表明，SWI模拟降水的强度和位置要比NCEP模拟的强度和位置更好，并且更接近观测值。 7月21日至26日的模拟强降雨表明，更新土壤水分初始条件可以改善模型的性能。土壤水分与降雨的关系可以解释为长江流域SWI的降雨强度更强是由于强降雨日期之前SWI的模拟土壤水分大于NCEP的结果，并导致温度下降在大雨天的相应地区。对6月13日至14日的强降雨的详细分析表明，陆地-大气相互作用和大气环流都是造成强降雨的原因，并且表明了SWI模拟如何改善了模拟。中尺度系统的发展在有关SWI初始土壤水分变化的模拟中起着重要作用。

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