A FUSING TECHNIQUE WITH SATELLITE PRECIPITATION ESTIMATE AND RAINGAUGE DATA 被引量：13

A FUSING TECHNIQUE WITH SATELLITE PRECIPITATION ESTIMATE AND RAINGAUGE DATA

下载PDF

导出

摘要 Satellite rainfall estimate can provide rainfall information over large areas,and raingauge can provide point-based ground observations with high accuracy.With the combination of satellite and raingauge data together,the estimated rainfall fields are greatly improved.This combination method,called 'fusing technique',is discussed in this paper,and the validation for this technique is accomplished with HUBEX IOP data. Satellite rainfall estimate can provide rainfall information over large areas,and raingauge can provide point-based ground observations with high accuracy.With the combination of satellite and raingauge data together,the estimated rainfall fields are greatly improved.This combination method,called 'fusing technique',is discussed in this paper,and the validation for this technique is accomplished with HUBEX IOP data.

作者卢乃锰游然张文建

机构地区 Department of Atmospheric Sciences National Satellite Meteorological Center

出处《Acta meteorologica Sinica》 SCIE 2004年第2期141-146,共6页

基金 supported by National Basic Research Projects (No.2000048703 and 2001CB309402)

关键词 fusing technique satellite rainfall estimate raingauge data fusing technique satellite rainfall estimate raingauge data

分类号 P426.613 [天文地球—大气科学及气象学]

引文网络
相关文献

参考文献8

1卢乃锰,吴蓉璋.A CONVECTIVE RAINFALL ESTIMATE TECHNIQUE DEVELOPED BY NSMC OF CHINA[J].Acta meteorologica Sinica,2000,14(2):225-232. 被引量：3
2Lu Naimeng.Satellite rainfall estimate. Proc.of the 1997 Meteorological Satellite Users‘ Conference . 1997
3Lu Naimeng.Rainfall estimate with split window Channel. Third Int.Scientific Conference on the Global Energy and Water Cycle . 1998
4Arkin P A,,Meisner B N.The relationship between large-scale convective rainfall and cold cloud over the western hemisphere during1982-1984. Monthly Weather Review . 1987
5Arkin,P. A.,Xie,P.The global precipitation climatology project: first algorithm intercomparison project. Bulletin of the American Meteorological Society . 1994
6Griffith,C. G.,Woodley,W. L.,Grube,P. G.,Martin,D. W.,Stout,J.,Sikdar,D. S.Rain estimation from geosynchronous satellite imagery. Visible and Infrared studies. Monthly Weather Review . 1978
7Scofield R A.The NESDIS operational convective precipitation estimation technique. Monthly Weather Review . 1987
8Scofield,R. A. and Oliver. V. J.A Scheme for Estimating Convective Rainfall from Satellite Imagery. . 1977

共引文献2

1卢乃锰,范锦龙,刘健,朱小祥.卫星遥感在青藏高原大气科学研究中的应用前景[J].气象科技进展,2013,3(3):29-33. 被引量：5
2林志强,马艳鲜,德庆,边多.基于GIS和RS的西藏森林火险等级计算方法[J].气象科技,2014,42(6):1147-1153. 被引量：8

同被引文献144

1Wenxia Zhang,Tianjun Zhou.Increasing impacts from extreme precipitation on population over China with global warming[J].Science Bulletin,2020,65(3):243-252. 被引量：27
2范锦龙,张晓煜.宁夏近18年植被动态变化遥感时序分析[J].干旱区研究,2009,26(1):53-58. 被引量：16
3马耀明,刘东升,苏中波,李召良,Massimo Menenti,王介民.卫星遥感藏北高原非均匀陆表地表特征参数和植被参数[J].大气科学,2004,28(1):23-31. 被引量：35
4吴国雄,毛江玉,段安民,张琼.青藏高原影响亚洲夏季气候研究的最新进展[J].气象学报,2004,62(5):528-540. 被引量：124
5王健康.用卫星资料估计降水方法的评述[J].气象,1993,19(5):3-8. 被引量：7
6徐晶,毕宝贵.卫星估计降水量产品的优化处理及分区检验[J].气象,2005,31(2):27-31. 被引量：8
7师春香,刘玉洁.国外部分卫星产品质量评价和质量控制方法[J].应用气象学报,2004,15(B12):142-151. 被引量：8
8何文英,陈洪滨,周毓筌.微波被动遥感陆面降水统计反演算式的比较[J].遥感技术与应用,2005,20(2):221-227. 被引量：11
9刘晓阳,T.D.DIALLO,毛节泰,李建通.GMS-5卫星估计中国西部地区月降水[J].大气科学,2005,29(4):518-525. 被引量：6
10吴风波,汤剑平.城市化对2008年8月25日上海一次特大暴雨的影响[J].南京大学学报（自然科学版）,2011,47(1):71-81. 被引量：20

引证文献13

1卢乃锰,范锦龙,刘健,朱小祥.卫星遥感在青藏高原大气科学研究中的应用前景[J].气象科技进展,2013,3(3):29-33. 被引量：5
2刘元波,傅巧妮,宋平,赵晓松,豆翠翠.卫星遥感反演降水研究综述[J].地球科学进展,2011,26(11):1162-1172. 被引量：115
3潘旸,沈艳,宇婧婧,赵平.基于最优插值方法分析的中国区域地面观测与卫星反演逐时降水融合试验[J].气象学报,2012,70(6):1381-1389. 被引量：134
4宇婧婧,沈艳,潘旸,赵平,周自江.概率密度匹配法对中国区域卫星降水资料的改进[J].应用气象学报,2013,24(5):544-553. 被引量：74
5廖捷,徐宾,张洪政.地面站点观测降水资料与CMORPH卫星反演降水产品融合的试验效果评估[J].热带气象学报,2013,29(5):865-873. 被引量：27
6宇婧婧,沈艳,潘旸,熊安元.中国区域逐日融合降水数据集与国际降水产品的对比评估[J].气象学报,2015,73(2):394-410. 被引量：67
7陈圆圆,宋晓东,黄敬峰,熊安元.基于地面站点观测降水资料的中国区域日降水融合产品精度评价[J].自然资源学报,2016,31(6):1004-1014. 被引量：9
8Jin Shuanglong,Wang Gen.Generalized Variational Merging of Multi-source Precipitation Data Based on the Non-Gaussian Model[J].Meteorological and Environmental Research,2017,8(6):20-26.
9潘旸,谷军霞,徐宾,沈艳,韩帅,师春香.多源降水数据融合研究及应用进展[J].气象科技进展,2018,8(1):143-152. 被引量：77
10刘少军,蔡大鑫,韩静,甘业星.卫星遥感反演降水研究进展简述[J].气象科技进展,2021,11(1):28-33. 被引量：6

二级引证文献406

1肖国年,周宁,李铮,李斌,狄洪伟,吴闽.宜兴抽水蓄能电站工程区降雨侵蚀力特征分析[J].人民长江,2020(S02):45-49. 被引量：3
2蒋育昊,李宝林,袁烨城,高锡章,张涛,刘岩,李影,罗智勇,李红,马强,王晓敏,次仁多吉.三江源及其毗邻地区公里网格降水数据集(2009-2013)[J].全球变化数据学报（中英文）,2020,4(2):163-169. 被引量：1
3王霁吟,高大伟,陈海燕,华飞龙,王元.暴雨衍生灾害触发敏感性快速排序评价方法研究[J].南京大学学报（自然科学版）,2022,58(5):789-795.
4鲁奕岑,徐宁,王丽吉,魏爽,吴书成,杨明,刘熔熔,张驰.浙江多源融合实况分析产品质量评估及应用[J].科技通报,2021,37(9):23-28. 被引量：5
5田茂举,旷兰,康俊,翟丹华,李奇临.CMPAS产品在綦江流域面雨量研究中的应用[J].湖北农业科学,2021,60(S02):171-175. 被引量：3
6郝爱兵,赵伟,郑跃军,刘明欢,韩双宝,解伟,刘文波,王新峰.水文地质调查技术方法发展与应用综述[J].测绘科学,2022,47(8):25-35. 被引量：4
7陈媛,董丹丹,申飙,蔡宏珂.大渡河流域逐日降雨数据融合的误差分析[J].成都信息工程大学学报,2022,37(6):683-689.
8江金昊,刘海磊,王乙竹,张升兰.基于Himawari-8卫星数据的青藏高原大气可降水量反演算法研究[J].成都信息工程大学学报,2022,37(5):494-500. 被引量：1
9吴倩鑫,马思煜,张智华,郭佳锴,张世强.五种降水产品在疏勒河上游山区和中下游月尺度降水的适用性对比研究[J].冰川冻土,2019,41(2):470-482. 被引量：7
10卢新玉,刘艳,王秀琴,刘晶,魏鸣,宋志国,张迎新.新疆地区多源降水融合试验[J].干旱区研究,2020(5):1223-1232. 被引量：3

1万玉发,吴翠红,金鸿祥.Real-Time Synchronous Integration of Radar and Raingauge Measurements Based on the Quasi Same-Rain-Volume Sampling[J].Acta meteorologica Sinica,2010,24(3):340-353. 被引量：2
2陈炯,郑永光,张小玲,朱佩军.Distribution and Diurnal Variation of Warm-Season Short-Duration Heavy Rainfall in Relation to the MCSs in China[J].Acta meteorologica Sinica,2013,27(6):868-888. 被引量：29
3除多,普布顿珠,罗布坚参,SAGAR Bajracharya,MANDIRA Shrestha,郭建平.Validation of the Satellite-Derived Rainfall Estimates over the Tibet[J].Acta meteorologica Sinica,2011,25(6):734-741.
4赵琳娜,齐丹,田付友,吴昊,狄靖月,王志,李爱华.Probabilistic Flood Prediction in the Upper Huaihe Catchment Using TIGGE Data[J].Acta meteorologica Sinica,2012,26(1):62-71. 被引量：5
5Ai Yong, Wang Jing-fang, Liu Rui-yuan, Yang Hui-gen, Hu Hong-qiao, Sato Natsuo, Masayuki Kikuchi College of Electronic Information, Wuhan University, Wuhan 430072, China Polar Research Institute of China, Shanghai 200129, China National Institute of Polar.Ground Observations of Post-Noon Aurora: a Case Study[J].Wuhan University Journal of Natural Sciences,2000,5(4):441-446. 被引量：1
6ZHANG HuiLan,Li DanXun,WANG XingKui,JIANG XiaoMing.Quantitative evaluation of NEXRAD data and its application to the distributed hydrologic model BPCC[J].Science China(Technological Sciences),2012,55(9):2617-2624. 被引量：4
7Tan Yongqiang,Huang Bing,Shi Xiaokang.A Method Fusing Conventional Wind Field with Cloud Motion Wind and Its Application in Location Forecast of the Severe Convection[J].Meteorological and Environmental Research,2014,5(12):9-12. 被引量：1
8高才生,铁志杰,邢梯良.硅酸盐介质中铁和铝地球化学行为的模拟实验研究[J].地球化学,1984,13(1):98-104.
9Hang Le Minh,Truong Vu Van.A Combination Method of Differential Evolution Algorithm and Neural Network for Automatic Identification Oil Spill at Vietnam East Sea[J].Journal of Geological Resource and Engineering,2016,4(4):184-193.
10包红军,赵琳娜.Development and Application of an Atmospheric-HydrologicHydraulic Flood Forecasting Model Driven by TIGGE Ensemble Forecasts[J].Acta meteorologica Sinica,2012,26(1):93-102. 被引量：11

Acta meteorologica Sinica

2004年第2期

浏览历史

内容加载中请稍等...