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您的检索式：作者名="Yingjing Lin"
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| 1 | A stochastic method for convective storm identification,tracking and nowcasting显示文摘对流暴风雨鉴定,追踪并且现在扔方法是迎着严重对流天气的重要现在扔方法论之一。在严重对流盒子中,例如暴风雨形状或快速的速度变化,存在方法是,追踪并且现在扔结果容易的提供未得到满足的暴风雨鉴定。克服这些困难,这篇论文建议一条新奇途径识别,轨道和对流暴风雨的短期的预报(扔的现在) 。一个数学基于形态学的暴风雨鉴定方法被采用它能在暴风雨的簇精确地识别暴风雨房间。至于困难的追踪问题,顺序的蒙特卡罗(SMC ) 方法被利用简化追踪的过程。它处理暴风雨失踪的盒子内在地对处理复杂裂口和兼并不仅合适,而且有能力察觉。为了提供暴风雨的更多的精确预报,放,这个方法拿跨关联的方法的优点。质、量的评估显示出建议途径的效率和坚韧性。 | Lei Han Shengxue Fu Guang Yang Hongqing Wang Yongguang Zheng Yingjing Lin | 2008 | Progress in Natural Science:Materials International2008，18，12： | 5 |
| 2 | An Examination of the Predictability of Tropical Cyclone Genesis in High-Resolution Coupled Models with Dynamically Downscaled Coupled Data Assimilation Initialization显示文摘Predicting tropical cyclone(TC)genesis is of great societal importance but scientifically challenging.It requires fineresolution coupled models that properly represent air−sea interactions in the atmospheric responses to local warm sea surface temperatures and feedbacks,with aid from coherent coupled initialization.This study uses three sets of highresolution regional coupled models(RCMs)covering the Asia−Pacific(AP)region initialized with local observations and dynamically downscaled coupled data assimilation to evaluate the predictability of TC genesis in the West Pacific.The APRCMs consist of three sets of high-resolution configurations of the Weather Research and Forecasting−Regional Ocean Model System(WRF-ROMS):27-km WRF with 9-km ROMS,and 9-km WRF with 3-km ROMS.In this study,a 9-km WRF with 9-km ROMS coupled model system is also used in a case test for the predictability of TC genesis.Since the local sea surface temperatures and wind shear conditions that favor TC formation are better resolved,the enhanced-resolution coupled model tends to improve the predictability of TC genesis,which could be further improved by improving planetary boundary layer physics,thus resolving better air−sea and air−land interactions. | Mingkui LI Shaoqing ZHANG Lixin WU Xiaopei LIN Ping CHANG Gohkan DANABASOGLU Zhiqiang WEI Xiaolin YU Huiqin HU Xiaohui MA Weiwei MA Haoran ZHAO Dongning JIA Xin LIU Kai MAO Youwei MA Yingjing JIANG Xue WANG Guangliang LIU Yuhu CHEN | 2020 | Advances in Atmospheric Sciences2020，37，9： | 4 |
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