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基于激光粒子探测仪探测结果的Z-I关系分析 被引量:8

Analysis on Relationships of Radar Reflectivity and Rain Rate Based on the Raindrop Spectra
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摘要 [目的]估测高时空分辨率的降水量。[方法]利用翻斗式自动雨量计观测的雨量和雨强对激光粒子探测仪的观测结果进行验证,在确信通过激光粒子探测仪激光带的雨滴数和雨滴直径的基础上,按年、月、主要降水天气类型分别建立雷达反射率因子Z和雨强I、log(Z)-log(I)和雷达回波强度I-Zo的指数关系式。[结果]结果表明,按4种主要降水天气类型建立的Z-I、log(Z)-log(I)和I-Zo的指数关系式拟合率最高,相关系数都在0.96以上,均通过极显著相关性检验,是利用雷达探测的反射率因子(Z)或回波强度(Zo)反演降雨强度的首选。给定回波强度(Zo)后,对应1个最大雨强(Imax)。[结论]利用这种关系,依据雷达探测的回波强度,对预警强降水天气有重要的指示作用。 [Objective] The propose was to measure precipitation of high spatial and temporal resolution. [Method]The observation results of laser particle detector were validated by observing precipitation and rain intensity data with automatic tipper-hopper type rain gauge. Based on the reliability of the droplet's numbers and diameter, the formula of index relation about log( Z)-log(I) and l-Zo was founded according to year, month and main types of weather during rain fall weather. [Result]The results indicated that the fitting rate of exponent relationship of Z-I,log( Z)-log(1) and I-Zo established according to 4 kinds of main precipitation weather was highest, all correlation coefficients were over 0. 96 and got across significant correlation test. The exponent relationship of Z-I,log( Z)-log(I) and l-Zo established according to 4 kinds of main precipitation weather was first choice which the rain intensity was inversed using reflectivity factor ( Z)detectod by radar or echo intensity( Zo ). There was a rmximurn rain intensity(Imax) when echo intensity was given. [ Conelusion] Using above relation can offer some important information that forecast strongly rain weather according to the echo intensity of radar probing.
出处 《安徽农业科学》 CAS 北大核心 2008年第33期14674-14679,共6页 Journal of Anhui Agricultural Sciences
基金 "十一五"辽宁省科技厅重点攻关项目(2006210001)
关键词 雨滴谱 雨强 Z-I关系 Raindrop size distribution Rain intensity Radar reflectivity and rain-rate relationship
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  • 1周毓荃,刘晓天,周非非,黄毅梅,李子华.河南干旱年地面雨滴谱特征[J].应用气象学报,2001,12(z1):39-47. 被引量:56
  • 2方书敏,秦将为,李永飞,杨太保.基于GIS的甘肃省气温空间分布模式研究[J].兰州大学学报(自然科学版),2005,41(2):6-9. 被引量:36
  • 3陈金荣,马生伟.GBPP-100型地面雨滴谱仪测量的可靠性[J].南京气象学院学报,1995,18(2):213-219. 被引量:12
  • 4Running S.W.,R.R.Nemaini,R.D.Hungerford, Extrapolation of synoptic meteorological data in mountainous terrain and its use simulating forest evapotranspiration rate and photosynthese, Canadian Journal of Forest Research, 1987, 17,472~483.
  • 5Band et. al., Forest ecosystem processes at the watershed scale: basis for distributed simulation, Ecological Modelling,1991, 56, 171-196.
  • 6Lam,N, Spatial Interpolation Methods: A Review, The American Cartographer 1983,10(2):129-149.
  • 7Price D.T.,et.al., A comparison of two statistical methods for spatial interpolation of Canadian monthly mean climate data,Agricultural and Forest meteorology, 2000, 10(1):81-94.
  • 8Collins F.C. A comparison of spatial interpolation techniques in temperature estimation, http://www.ncgia.ucsb.edu/conf/santa fe cd-rom/sf papers/collins fred/collins.html,1999.
  • 9Husar R.B., Falke S.R., Uncertainty in the spatial interpolation of PM10 monitoring data in Southern California, http://capita.wustl.edu/capit a/capitareports/cainterp/caint erp.html.
  • 10Waters N.M. Unit40-spatial interpolation1,http://www.gisca. adelaide.edu.au/kea/gisrs/ncgia/u40.html, 1999.

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