Global S&T Development Trend Analysis Platform of Resources and Environment
DOI | 10.1029/2021GL095302 |
Improving Nowcasting of Convective Development by Incorporating Polarimetric Radar Variables into a Deep Learning Model | |
Xiang Pan; Yinghui Lu; Kun Zhao; Hao Huang; Mingjun Wang; Haonan Chen | |
2021-10-16 | |
发表期刊 | Geophysical Research Letters |
出版年 | 2021 |
英文摘要 | Nowcasting of convective storms is urgently needed yet rather challenging. Current nowcasting methods are mostly based on radar echo extrapolation, which suffer from the insufficiency of input information and ineffectiveness of model architecture. A novel deep-learning (DL) model, FURENet, is designed for extracting information from multiple input variables to make predictions. Polarimetric radar variables, KDP and ZDR, which provide extra microphysics and dynamic structure information of storms, are fed into the model to improve nowcasting. Two representative cases indicate that KDP and ZDR can help the DL model better forecast convective organization and initiation. Quantitative statistical evaluation shows using FURENet, KDP and ZDR synergistically improve nowcasting skills (CSI score) by 13.2% and 17.4% for the lead time of 30- and 60-minute, respectively. Further evaluation shows the microphysical information provided by the polarimetric variables can enhance the DL model in understanding the evolution of convective storms and making more trustable nowcasts. |
领域 | 气候变化 |
URL | 查看原文 |
引用统计 | |
文献类型 | 期刊论文 |
条目标识符 | http://119.78.100.173/C666/handle/2XK7JSWQ/340056 |
专题 | 气候变化 |
推荐引用方式 GB/T 7714 | Xiang Pan,Yinghui Lu,Kun Zhao,et al. Improving Nowcasting of Convective Development by Incorporating Polarimetric Radar Variables into a Deep Learning Model[J]. Geophysical Research Letters,2021. |
APA | Xiang Pan,Yinghui Lu,Kun Zhao,Hao Huang,Mingjun Wang,&Haonan Chen.(2021).Improving Nowcasting of Convective Development by Incorporating Polarimetric Radar Variables into a Deep Learning Model.Geophysical Research Letters. |
MLA | Xiang Pan,et al."Improving Nowcasting of Convective Development by Incorporating Polarimetric Radar Variables into a Deep Learning Model".Geophysical Research Letters (2021). |
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