基于Filtersim的多源降水数据融合方法研究
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摘要
降雨是影响车辆越野机动的重要因素,高精度的降雨数据是定量评估战场越野通行能力,合理制定行动方案的前提。针对传统插值方法的不足,论文采用flitersim多点统计法来提高降水数据的融合精度。将降雨量分解为局部均值与局部残差之和,以卫星降水数据的局部残差作为"训练数据",以气象站点的局部残差数据作为"硬数据",以卫星降水的局部残差数据和气象站点的局部残差数据的插值数据作为"软数据"进行flitersim多点地统计模拟,最终得到1km分辨率的降水数据。通过比较数据的平均绝对值误差、均方根误差和相关系数,表明flitersim明显优于协同克里金插值,能有效提高降水数据的精度。
Rainfall is an important factor affecting the vehicle off-road maneuver. High-precision rainfall data is a prerequisite for evaluating battlefield off-road traffic capacity quantitatively and developing a program of action reasonably. In view of the shortcomings of traditional interpolation methods, the flitersim multi-point statistical method is used to improve the fusion accuracy of multi-source precipitation data. The rainfall is decomposed into the sum of the local mean and the local residual, the local residuals of the satellite precipitation data are used as the "training data", the local residual data of the weather stations are used as the "hard data", and the interpolation data of the local residual data of the satellite precipitation and the local residual data of the weather station are used as the "soft data" for flitersim multi-point statistical simulation to obtain 1 km resolution precipitation data. By comparing the average absolute error, the root mean square error and the correlation coefficient of several sets of data, it is shown that flitersim is superior to the ordinary cooperative kriging interpolation, which can improve the accuracy of precipitation data effectively.
Rainfall is an important factor affecting the vehicle off-road maneuver. High-precision rainfall data is a prerequisite for evaluating battlefield off-road traffic capacity quantitatively and developing a program of action reasonably. In view of the shortcomings of traditional interpolation methods, the flitersim multi-point statistical method is used to improve the fusion accuracy of multi-source precipitation data. The rainfall is decomposed into the sum of the local mean and the local residual, the local residuals of the satellite precipitation data are used as the "training data", the local residual data of the weather stations are used as the "hard data", and the interpolation data of the local residual data of the satellite precipitation and the local residual data of the weather station are used as the "soft data" for flitersim multi-point statistical simulation to obtain 1 km resolution precipitation data. By comparing the average absolute error, the root mean square error and the correlation coefficient of several sets of data, it is shown that flitersim is superior to the ordinary cooperative kriging interpolation, which can improve the accuracy of precipitation data effectively.
引文
[1]?ke Sivertun,Gumos A.Analysis of Cross Country Trafficability[C].12th International Symposium on Spatial Data Handling,Germany:Springer Verlag,2006:921-941.
[2]李哲.多源降雨观测与融合及其在长江流域的水文应用[D].北京:清华大学,2015.Li Zhe.Multi-source Precipitation Observations and Fusion for Hydrological Applications in the Yangtze River Basin[D].Beijing:Tsinghua University,2015.
[3]Sideris I,Gabella M,Sassi M.Real-time spatiotemporal merging of radar and raingauge precipitation measurements in Switzerland[C].International Workshop on Precipitation in Urban Areas,Switzerland:Urban Chanllenges in Rainfall Analysis,2012.
[4]Schiemann R,Erdin R.Geostatistical radar-raingauge combination with nonparametric correlograms:methodological considerations and application in Switzerland[J].Hydrology&Earth System Sciences(S1027-5606),2010,15(5):1515-1536.
[5]Boushaki F I,Hsu K L,Sorooshian S.Bias adjustment of satellite precipitation estimation using ground-based measurement:a case study evaluation over the southwestern United States[J].Journal of Hydrometeorology(S1525-755X),2009,10(5):1231-1242.
[6]胡庆芳.基于多源信息的降水空间估计及其水文应用研究[D].北京:清华大学,2013.Hu Qingfang.Rainfall Spatial Estimation Using Multi-source Information and Its Hydrological Application[D].Beijing:Tsinghua University,2013.
[7]潘旸,沈艳,宇婧婧.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.Pan Yang,Shen Yan,Yu Jingjing.Analysis of the combined gauge-satellite hourly precipitation over China based on the OI technique[J].Acta Meteorologica Sinica,2012,70(6):1381-1389.
[8]Todini E.A Bayesian technique for conditioning radar precipitation estimates to rain-gauge measurements[J].Hydrology&Earth System Sciences(S1027-5606),2001,5(2):106.
[9]Goudenhoofdt E,Delobbe L.Evaluation of radar-gauge merging methods for quantitative precipitation estimates[J].Hydrology&Earth System Sciences(S1027-5606),2008,13(2):195-203.
[10]Sebastien Strebelle.Conditional Simulation of Complex Geological Structures Using Multiple-Point Statistics[J].Mathematical Geosciences(S1874-8961),2002,34(1):1-21.
[11]吴胜和,李文克.多点地质统计学--理论、应用与展望[J].古地理学报,2005,7(1):137-144.Wu Shenghe,Li Wenke.Multiple-point geostatistics:theory,application and perspective[J].Journal of Pala Eogeography,2005,7(1):137-144.
[12]石书缘,尹艳树,冯文杰.多点地质统计学建模的发展趋势[J].物探与化探,2012,36(4):655-660.Shi Shuyuan,Yin Yanshu,Feng Wenjie.The Development and Prospect of Multiple-Point Geostatistics Modeling[J].Geophysical&Geochemical Exploration,2012,36(4):655-660.
[13]Boucher A.Sub-pixel Mapping of Coarse Satellite Remote Sensing Images with Stochastic Simulations from Training Images[J].Mathematical Geosciences(S1874-8961),2009,41(3):265-290.
[14]杜奕,张挺.基于多点信息统计法的土地覆盖图像超分辨率重建方法[J].电子学报,2016,44(11):2576-2582.Du Yi,Zhang Ting.A Super-Resolution Reconstruction Method for Land Cover Maps Using Multiple-Point Statistics[J].Acta Elect Ronica Sinica,2016,44(11):2576-2582.
[15]孟欣然,梁堰波,孟宪海.基于FILTERSIM算法的油藏沉积微相模拟研究[J].计算机工程与设计,2013,34(2):545-549.Meng Xinran,Liang Yanbo,Meng Xianhai.Using FIMTERSIM for reservoir faces simulation[J].Computer Engineering and Design,2013,34(2):545-549.
[16]尹艳树,张昌明,李少华.多点地质统计学原理、方法及应用[M].北京:地质出版社,2013:1-3.Yin Yanshu,Zhang Changming,Li Shaohua.Multiple Point Geostatistics Theory,Method and Application[M].Beijing:Geological Publishing House,2013:1-3.
[17]科瓦列夫斯基.基于地质统计学的地质建模[M].北京:石油工业出版社,2014:86-87.Evgeniy Kovalevskiy.Geological Modeling on the Base of Geostatistics[M].Beijing:Petroleum Industry Press,2014:86-87.
[18]Zhang T,Switzer P,Journel A.Filter-Based Classification of Training Image Patterns for Spatial Simulation[J].Mathematical Geosciences(S1874-8961),2006,38(1):63-80.
[19]Shen Y,Xiong A Y,Wang Y,et al.Performance of high-resolution satellite precipitation products over China[J].Journal of Geophysical Research Atmospheres(S0148-0277),2010,115(D2):355-365.
[2]李哲.多源降雨观测与融合及其在长江流域的水文应用[D].北京:清华大学,2015.Li Zhe.Multi-source Precipitation Observations and Fusion for Hydrological Applications in the Yangtze River Basin[D].Beijing:Tsinghua University,2015.
[3]Sideris I,Gabella M,Sassi M.Real-time spatiotemporal merging of radar and raingauge precipitation measurements in Switzerland[C].International Workshop on Precipitation in Urban Areas,Switzerland:Urban Chanllenges in Rainfall Analysis,2012.
[4]Schiemann R,Erdin R.Geostatistical radar-raingauge combination with nonparametric correlograms:methodological considerations and application in Switzerland[J].Hydrology&Earth System Sciences(S1027-5606),2010,15(5):1515-1536.
[5]Boushaki F I,Hsu K L,Sorooshian S.Bias adjustment of satellite precipitation estimation using ground-based measurement:a case study evaluation over the southwestern United States[J].Journal of Hydrometeorology(S1525-755X),2009,10(5):1231-1242.
[6]胡庆芳.基于多源信息的降水空间估计及其水文应用研究[D].北京:清华大学,2013.Hu Qingfang.Rainfall Spatial Estimation Using Multi-source Information and Its Hydrological Application[D].Beijing:Tsinghua University,2013.
[7]潘旸,沈艳,宇婧婧.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.Pan Yang,Shen Yan,Yu Jingjing.Analysis of the combined gauge-satellite hourly precipitation over China based on the OI technique[J].Acta Meteorologica Sinica,2012,70(6):1381-1389.
[8]Todini E.A Bayesian technique for conditioning radar precipitation estimates to rain-gauge measurements[J].Hydrology&Earth System Sciences(S1027-5606),2001,5(2):106.
[9]Goudenhoofdt E,Delobbe L.Evaluation of radar-gauge merging methods for quantitative precipitation estimates[J].Hydrology&Earth System Sciences(S1027-5606),2008,13(2):195-203.
[10]Sebastien Strebelle.Conditional Simulation of Complex Geological Structures Using Multiple-Point Statistics[J].Mathematical Geosciences(S1874-8961),2002,34(1):1-21.
[11]吴胜和,李文克.多点地质统计学--理论、应用与展望[J].古地理学报,2005,7(1):137-144.Wu Shenghe,Li Wenke.Multiple-point geostatistics:theory,application and perspective[J].Journal of Pala Eogeography,2005,7(1):137-144.
[12]石书缘,尹艳树,冯文杰.多点地质统计学建模的发展趋势[J].物探与化探,2012,36(4):655-660.Shi Shuyuan,Yin Yanshu,Feng Wenjie.The Development and Prospect of Multiple-Point Geostatistics Modeling[J].Geophysical&Geochemical Exploration,2012,36(4):655-660.
[13]Boucher A.Sub-pixel Mapping of Coarse Satellite Remote Sensing Images with Stochastic Simulations from Training Images[J].Mathematical Geosciences(S1874-8961),2009,41(3):265-290.
[14]杜奕,张挺.基于多点信息统计法的土地覆盖图像超分辨率重建方法[J].电子学报,2016,44(11):2576-2582.Du Yi,Zhang Ting.A Super-Resolution Reconstruction Method for Land Cover Maps Using Multiple-Point Statistics[J].Acta Elect Ronica Sinica,2016,44(11):2576-2582.
[15]孟欣然,梁堰波,孟宪海.基于FILTERSIM算法的油藏沉积微相模拟研究[J].计算机工程与设计,2013,34(2):545-549.Meng Xinran,Liang Yanbo,Meng Xianhai.Using FIMTERSIM for reservoir faces simulation[J].Computer Engineering and Design,2013,34(2):545-549.
[16]尹艳树,张昌明,李少华.多点地质统计学原理、方法及应用[M].北京:地质出版社,2013:1-3.Yin Yanshu,Zhang Changming,Li Shaohua.Multiple Point Geostatistics Theory,Method and Application[M].Beijing:Geological Publishing House,2013:1-3.
[17]科瓦列夫斯基.基于地质统计学的地质建模[M].北京:石油工业出版社,2014:86-87.Evgeniy Kovalevskiy.Geological Modeling on the Base of Geostatistics[M].Beijing:Petroleum Industry Press,2014:86-87.
[18]Zhang T,Switzer P,Journel A.Filter-Based Classification of Training Image Patterns for Spatial Simulation[J].Mathematical Geosciences(S1874-8961),2006,38(1):63-80.
[19]Shen Y,Xiong A Y,Wang Y,et al.Performance of high-resolution satellite precipitation products over China[J].Journal of Geophysical Research Atmospheres(S0148-0277),2010,115(D2):355-365.