[1]Evensen G.The Ensemble Kalman Filter Theoretical Formulation and Practical Implementation[J].Ocean Dynamics,2003,53(4) :343-367.[2]Wang Haoyu,Qin Sixian,Ma Jianwen,et al.Assimilation Algorithm Integrated Computing and Visualization for Airborne Remote Sensing Data[J].Computer Engineering and Application,2012,48(7):124-127.[王皓玉,秦思娴,马建文,等.航空遥感数据同化算法集成计算与可视[J].计算机工程与应用,2012,48(7):124-127.][3]Evensen G.Sampling Strategies and Square Root Analysis Schemes for the EnKF[J].Ocean Dynamics,2004,54 (6):539-560.[4]Huang C L,Li X,Lu L,et al.Experiments of One Dimensional Soil Moisture Assimilation System based on Ensemble Kalman Filter[J].Remote Sensing of Environment,2008,112(3):888-900.[5]Huang C L,Li X.Retrieving Soil Temperature Profile by Assimilating MODIS LST Products with Ensemble Kalman Filter[J].Remote Sensing of Environment,2008,112(4):1320-1336.[6]Dimet F X L,Talagrand O.Variational Algorithms for Analysis and Assimilation of Meteorological Observations:Theoretical Aspects[J].Tellus,1986,38A(2):97-110.[7]Evensen G.Sequential Data Assimilation with a Nonlinear Quasi-geostrophic Model Using Monte Carlo Methods to Forecast Error Statistics[J].Journal of Geophysical Research Oceans,1994,99(C5):10143-10162.[8]Hunt B R,Kostelich E J,Szunyogh I.Efficient Data Assimilation for Spatiotemporal Chaos:A Local Ensemble Transform Kalman Filter[J].Physical D,2007,230:112-126.[9]Hunt B R,Kalney E,Kostelich J E,et al.Four-dimensional Ensemble Kalman Filtering[J].Tellus A,2004,56 (4):273-277.[10]Evensen G.Advanced Data Assimilation for Strongly Nonlinear Dynamics[J].Monthly Weather Review,1997,125(6):1342-1354.[11]Han Xujun,Li Xin.Review of the Nonlinear Filters in the Land Data Assimilation[J].Advances in Earth Science,2008,23(8):813-820.[韩旭军,李新.非线性滤波方法与陆面数据同化[J].地球科学进展,2008,23(8):813-820.][12]Anderson J L.A Non-Gaussian Ensemble Filter Update for Data Assimilation[J].Monthly Weather Review,2010,138(11):4186-4198.[13]Hoteit I,Pham D-T,Triantafyllou G,et al.A New Approximate Solution of the Optimal Nonlinear Filter for Data Assimilation in Meteorology and Oceanography[J].Monthly Weather Review,2008,136(1):317-334.[14]Stordal A,Karlsen H,Navdal G,et al.Bridging the Ensemble Kalman Filter and Particle Filters:The Adaptive Gaussian Mixture Filter[J].Computational Geosciences,2011,15(2):293-305.[15]Lei J,Bickel P.A Moment Matching Ensemble Filter for Nonlinear Non-Gaussian Data Assimilation[J].Monthly Weather Review,139(2):3964-3973.[16]Bi Haiyu,Ma Jianwen.Advances in the Study of Pariticle Filter in Data Assimilation[J].Remote Sensing Technology and Application,2014,29(5):701-710.[毕海芸,马建文.粒子滤波算法在数据同化中的应用研究进展[J].遥感技术与应用,2014,29(5):701-710.][17]Chang Guobin,Xu Jiangning,Li An,et al.Modified Iterated Extended Kalman Filter based on Gauss-Newton Iteration and Its Application in UNGM[J].Journal of Naval University of Engineering,2012,24(1):15-19.[常国宾,许江宁,李安,等.基于组合牛顿迭代法的改进IEKF及其在UNGM中的应用[J].海军工程大学学报,2012,24(1):15-19.][18]Sakov P,Oliver D,Bertino L.An Iterative EnKF for Strongly Nonlinear Systems[J].Monthly Weather Review,2012,140(6):1988-2004.[19]Zhang Xuefeng,Huang Daji,Zhang Benzhao,et al.The Developments and Applications of Ensemble-based Data Assimilation Methods[J].Journal of Marine Sciences,2007,25(1):88-94.[张学峰,黄大吉,章本照,等.童元正.集合数据同化方法的发展与应用概述[J].海洋科学研究,2007,25(1):88-94.][20]Bai Yulong,Gao Haisha,Chai Qianlong,et al.Comparative Studies of Sequential Data Assimilation Methods based on Lorenz-96 Models[J].Remote Sensing Technology and Application,2013,28(2):276-282.[摆玉龙,高海沙,柴乾隆,等.基于LORENZ-96模型的顺序数据同化方法比较研究[J].遥感技术与应用,2013,28(2):276-282.][21]Bell B M,Cathey F W.The Iterated Kalman Filter Update as a Guass Newton Method[J].IEEE Transactions on Automatic Control,1993,38(2):294-297.[22]Lorenz E N.Deterministic Nonperiodic Flow.Journal of Atmospheric Science[J].Journal of the Atmospheric Sciences,1963,20(2):130-141.[23]Bai Y L,Li X.Evolutionary Algorithm based Error Parametrization Methods for Data Assimilation[J].Monthly Weather Review,2011,139(8):2668-2685.[24]Wang Shizhang,Min Jinzhong,Chen Jie,et al.Application of Iterative Ensemble Square-root Filter in Storm-scale Data Assimilation[J].Chinese Journal of Atmospheric Sciences,2013,37(3):563-578.[王世璋,闵锦忠,陈杰,等.迭代集合平方根滤波在风暴尺度资料同化中的应用[J].大气科学,2013,37(3):563-578.][25]Qiu Xiaobin,Qiu Chongjian.The Suitability Test of Ensemble Square Root Filter with Hybrid Background Error Covariance[J].Plateau Meteorology,2009,28(6):1399-1407.[邱晓滨.邱崇践.混合误差协方差用于集合平方根滤波同化的实验[J].高原气象,2009,28(6):1399-1407.] |