Toward an error model for radar quantitative precipitation estimation in the Cevennes-Vivarais region, France

被引:64
作者
Kirstetter, Pierre-Emmanuel [1 ]
Delrieu, Guy [2 ]
Boudevillain, Brice [2 ]
Obled, Charles [2 ]
机构
[1] Univ Versailles St Quentin, Ctr Univ Velizy, CNRS INSU LATMOS IPSL, F-78140 Velizy Villacoublay, France
[2] Univ Grenoble, Lab Etud Transferts Hydrol & Environm, CNRS, INPG,IRD,UJF, F-38041 Grenoble 09, France
关键词
Radar QPE; Raingauge; Geostatistics; Estimation variance; Statistical distribution; Space-time structure; AREAL RAINFALL ESTIMATION; OPERATIONAL RADAR; WEATHER RADAR; HYDROLOGY; PRODUCT; GAUGE; SEPARATION;
D O I
10.1016/j.jhydrol.2010.01.009
中图分类号
TU [建筑科学];
学科分类号
0813 ;
摘要
Characterisation of the error structure of radar quantitative precipitation estimation (QPE) is a major issue for applications of radar technology in hydrological modelling Due to the variety of sources of error in radar QPE and the Impact of correction algorithms the problem can only be addressed practically by comparison of radar QPEs with reference values derived from ground-based measurements Using the radar and raingauge datasets of the Bollene-2002 experiment a preliminary investigation of this subject has been carried out within a geostattstical framework in the context of the Cevennes-Vivarais Mediterranean Hydrometeorological Observatory First raingauge measurements were critically analysed using variograms to detect erroneous squared differences between pairs of raingauge values The anisotropic block kriging technique was then used to compute and select the most reliable reference values The statistical distribution and the spatial and temporal structure of the residuals between radar and reference values was established and analysed The error variance separation concept was also tested to estimate the variance of the residuals between the radar estimates and the true unknown rainfall A preliminary version of the radar QPE error model was established for 1-km(2) domains and time steps ranging from 1 to 12 h using the limited data sample of the Bollene-2002 experiment The error model is dependent on the time scales considered and needs to be conditioned on the ram rate and rainfall type as well as on the radar range (C) 2010 Elsevier B V All rights reserved
引用
收藏
页码:28 / 41
页数:14
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