Improving numerical experiments on persistent severe rainfall events in southern China using spectral nudging and filtering schemes

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• 作者：Yanfeng Zhao ; Donghai Wang ; Zhaoming Liang and Jianjun Xu
• 刊名：Quarterly Journal of the Royal Meteorological Society
• 出版年：2016
• 出版时间：October 2016
• 年：2016
• 卷：142
• 期：701
• 页码：3115-3127
• 全文大小：16396K
• ISSN：1477-870X

文摘

Using the inner field spectral nudging (IFSN) and lateral boundary filtering (LBF) methods in the regional Weather Research and Forecasting model, version 3.4 (WRF3.4), the simulation of persistent severe rainfall (PSR) events over south China was investigated. The results showed: (i) simulation using IFSN improves the forecasting of precipitation, especially for a lead time of greater than 3 days. Meanwhile, simulation with a combination of the IFSN and LBF (IFSN + LBF) methods provides better forecasts at a lead time of 5–7 days. (ii) The improvement in precipitation forecasting derives mainly from the reasonable simulation of the large-scale circulation fields and water vapour flux convergence patterns. (iii) In terms of large-scale circulation, the anomaly correlation coefficient can be significantly improved for lead times of 1–5 days (7–11 days) by adopting the IFSN (IFSN + LBF) method.