Evensen G.Sequential data assimilation with a nonlinear quasi-geostrophic model using Monte Carlo methods to forecast error statistics.J.Geophys.Res.,1994,99 (C5):10143～10162
Barker D M,Huang W,Guo Y-R,et al.A three-dimensional variational data assimilation system for MM5:Implementation and initial results.Mon.Wea.Rev.,2004,132:897～914
[4]
Lewis J M,Derber J C.The use of adjoint equations to solve a variational adjustment problem with advective constraints.Tellus,1985,37A:309～322
[5]
Le Dimet F X,Talagrand O.Variational algorithms for analysis and assimilation of meteorological observations:Theoretical aspects.Tellus,1986,38A:97～110
[6]
Talagrand O.Assimilateion of observations,an introducetion.J.Meteor.Soc.Japan,1997,75 (Special Issue) (No.1 B):81～99
[7]
Xu Q.Generalized adjoint for physical processes with parameterized discontinuities.Part Ⅰ:Basic issues and heuristic examples.J.Atmosp.Sci.,1996,53 (8):1123～1142
[8]
Xu Q,Qiu C J.Adjoint matching condition for parameterized discontinuities-A derivation using Lagrangian-form costfunction.Adv.Atmos.Sci.,1997,14 (1):49～52
[9]
Mu M,Wang J F.A method for adjoint variational data assimilation with physical "on-off" processes.J.Atmos.Sci.,2003,60 (16):2010～2018
[10]
Burgers G,van Leeuwen P J,Evensen G.Analysis scheme in the ensemble Kalman filter.Mon.Wea.Rev.,1998,126:1719～1724
[11]
Houtekamer P L,Mitchell H L.A sequential ensemble Kalman filter for atmospheric data assimilation.Mon.Wea.Rev.,2001,129:123～137
[12]
Evensen G.The ensemble Kalman filter:Theoretical formulation and practical implementation.Ocean Dyn.,2003,53:343～367
[13]
许小永,刘黎平,郑国光.集合卡尔曼滤波同化多普勒雷达资料的数值试验.大气科学,2006,30 (4):712～728 Xu Xiaoyong,Liu Liping,Zheng Guoguang.Numerical experiment of assimilation of Doppler radar data with an ensemble Kalman fileter.Chinese Journal of Atmospheric Science (in Chinese),2006,30 (4):712～728
[14]
Li J P,Chou J F.Existence of atmosphere attractor.Science in China (Ser.D),1997,40 (2):215～224
[15]
Osborne A R,Pastorello A.Simultaneous occurrence of low-dimensional chaos and colored random noise in nonlinear physical system.Physics Letters A,1999,181:159～171
[16]
Qiu C,Chou J.Four-dimensional data assimilation method based on SVD:Theoretical aspect.Theor.Appl.Climatol.,2006,83:51～57
[17]
Dudhia J.A nonhydrostatic version of the Penn State/NCAR mesoscale model:Validation tests and simulations of an Atlantic cyclone and cold front.Mon.Wea.Rev.,1993,121:1493～1513
[18]
Barker D M,Huang W,Guo Y R,et al.A three-dimensional variational (3DVAR) data assimilation system for use with MM5.NCAR Tech.Note.NCAR/TN-453 + STR,2003,68 pp
[19]
Parrish D F,Derber J C.The National Meteorological Center\'s spectral statistical interpolation analysis system.Mon.Wea.Rev.,1992,120:1747～1763
[20]
Hayden C M,Purser R J.Recursive filter objective analysis of meteorological fields:Applications to NESDIS operational processing.J.Appl.Meteor.,1995,34:3～15
