气候变化领域集成服务门户(CCPortal): Improving weather radar precipitation maps: A fuzzy logic approach

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DOI	10.1016/j.atmosres.2019.104710
	Improving weather radar precipitation maps: A fuzzy logic approach
	Silver M.; Svoray T.; Karnieli A.; Fredj E.
发表日期	2020
ISSN	0169-8095
卷号	234
英文摘要	Weather radar can provide spatially explicit precipitation grids. However interference, ground clutter and various causes of attenuation introduce uncertainty into the result. Typically, rain gauge observations, recognized as a precise measure of precipitation at point locations, are used to adjust weather radar grids to obtain more accurate precipitation maps. This adjustment involves one or more of various geostatistic techniques. Yet, since gauges are sparsely located, a geostatistic approach is sometimes limited or even not applicable. This work adopts an alternative to radar adjustment by merging location-based variables with rain grids from weather radar. Recognizing that location-based variables: elevation, slope, aspect and distance from the coast all affect precipitation, these are applied to the original weather radar grid to produce an altered precipitation distribution. The merging procedure presented here uses fuzzy logic, whereby all variables, as well as the original radar are assigned probabilities known as membership functions (MF), then a joint membership function (JMF) combines all MFs in the fuzzy set, each multiplied by its weight, to create a precipitation probability grid. This JMF probability grid is validated with gauge observation data. We show up to 30% higher correlation coefficients between gauges and the JMF grid than between gauges and the original radar. The improved correlation results from the flexibility of fuzzy logic in transforming location-based variables to probabilities. © 2019
英文关键词	Fuzzy logic; Gauges; Location-based; Precipitation; Weather radar
学科领域	Computer circuits; Gages; Location; Membership functions; Merging; Meteorological radar; Precipitation (chemical); Probability; Rain; Rain gages; Assigned probability; Correlation coefficient; Fuzzy logic approach; Location based; Merging procedure; Precipitation distribution; Precipitation map; Spatially explicit; Fuzzy logic; fuzzy mathematics; map; precipitation assessment; radar; raingauge; weather
语种	英语
scopus关键词	Computer circuits; Gages; Location; Membership functions; Merging; Meteorological radar; Precipitation (chemical); Probability; Rain; Rain gages; Assigned probability; Correlation coefficient; Fuzzy logic approach; Location based; Merging procedure; Precipitation distribution; Precipitation map; Spatially explicit; Fuzzy logic; fuzzy mathematics; map; precipitation assessment; radar; raingauge; weather
来源期刊	Atmospheric Research
文献类型	期刊论文
条目标识符	http://gcip.llas.ac.cn/handle/2XKMVOVA/120533
作者单位	Dept. of Geography and Environmental Development and Dept. of Psychology, Ben Gurion University, Israel; Remote Sensing Lab, Sde Boker Campus, Ben Gurion University, Israel; Jerusalem College of Technology, Jerusalem, Israel
推荐引用方式 GB/T 7714	Silver M.,Svoray T.,Karnieli A.,et al. Improving weather radar precipitation maps: A fuzzy logic approach[J],2020,234.
APA	Silver M.,Svoray T.,Karnieli A.,&Fredj E..(2020).Improving weather radar precipitation maps: A fuzzy logic approach.Atmospheric Research,234.
MLA	Silver M.,et al."Improving weather radar precipitation maps: A fuzzy logic approach".Atmospheric Research 234(2020).