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Average measures of PPLK, PMC, PHS and other short-term quantitative precipitation nowcasting (QPN) methods with 30 min, 60 min, 90 min and 120 min lead time.

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Figshare2015-12-03 更新2026-04-29 收录
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*PPLK: Pixel-based QPN using the Pyramid Lucas-Kanade Optical-Flow method; MCM: Pixel-based QPN using the maximum correlation method; PHS: Pixel-based QPN using Horn-Schunck optical-flow method; PERCAST: PERsiann (Precipitation Estimation from Remotely Sensed Information using Artificial Neural Networks) - -ForeCAST; PERCAST-GD: PERsiann-ForeCAST considering the storm Growth and Decay (GD) whose area increases or decreases compared to previous moments; WDSS: Warning Decision Support System; PER: PERsistence. The PMC, PHS and PPLK were compared based on 2338 images of 8 periods of FY-2F in this paper. The PERCAST-GD, PERCAST, WDSS~II and PER was compared by Zahraei et al. [6] based on four storms from GOES-IR data over a rectangular region in 80–115°W and 32–45°N.Average measures of PPLK, PMC, PHS and other short-term quantitative precipitation nowcasting (QPN) methods with 30 min, 60 min, 90 min and 120 min lead time.

PPLK:基于像素的定量降水临近预报(Quantitative Precipitation Nowcasting, QPN)方法,采用金字塔卢卡斯-卡纳德光流法(Pyramid Lucas-Kanade Optical-Flow method);MCM:基于像素的采用最大相关法的QPN方法;PHS:基于像素的采用霍恩-舒恩克光流法(Horn-Schunck optical-flow method)的QPN方法;PERCAST:波斯遥感降水估算(Precipitation Estimation from Remotely Sensed Information using Artificial Neural Networks, PERsiann)-预报(ForeCAST)方法;PERCAST-GD:考虑风暴生消(Growth and Decay, GD)的PERCAST方法,即相较于前一时刻风暴面积存在增减变化的PERCAST变体;WDSS:预警决策支持系统(Warning Decision Support System, WDSS);PER:持续法(PERsistence, PER)。本文采用FY-2F卫星8个时段的2338幅图像,对PMC、PHS与PPLK三种方法进行了对比分析。Zahraei等[6]以GOES-IR数据中80°W~115°W、32°N~45°N矩形区域内的4次风暴事件为研究对象,对PERCAST-GD、PERCAST、WDSS~II及PER四种方法开展了对比实验。针对30 min、60 min、90 min及120 min的预报提前量,本文给出了PPLK、PMC、PHS及其他短时定量降水临近预报(QPN)方法的平均性能指标。
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2015-12-03
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