Assimilation of Doppler Radar Observations with a Regional 3DVAR System: Impact of Doppler Velocities on Forecasts of a Heavy Rainfall Case
作者： Qingnong Xiao , Ying-Hwa Kuo , Juanzhen Sun , Wen-Chau Lee , Eunha Lim
DOI: 10.1175/JAM2248.1
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摘要: Abstract In this paper, the impact of Doppler radar radial velocity on prediction a heavy rainfall event is examined. The three-dimensional variational data assimilation (3DVAR) system for use with fifth-generation Pennsylvania State University–NCAR Mesoscale Model (MM5) further developed to enable observations. velocities from Korean Jindo are assimilated into MM5 using 3DVAR case that occurred 10 June 2002. results show has positive short-range rainfall. dynamic balance between atmospheric wind and thermodynamic fields, based Richardson equation, introduced system. Vertical (w) increments included in vertical component observation. forecast hydrometeor variables cloud water (qc...
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P.S. Ray, B.C. Johnson, K.W. Johnson, J.S. Bradberry, J.J. Stephens, K.K Wagner, R.B. Wilhelmson, J.B. Klemp, The Morphology of Several Tornadic Storms on 20 May 1977 Journal of the Atmospheric Sciences. ,vol. 38, pp. 1643- 1663 ,(1981) , 10.1175/1520-0469(1981)038<1643:TMOSTS>2.0.CO;2
John D. Tuttle, G. Brant Foote, Determination of the Boundary Layer Airflow from a Single Doppler Radar Journal of Atmospheric and Oceanic Technology. ,vol. 7, pp. 218- 232 ,(1990) , 10.1175/1520-0426(1990)007<0218:DOTBLA>2.0.CO;2
David P. Jorgensen, Paul T. Willis, A Z-R Relationship for Hurricanes Journal of Applied Meteorology. ,vol. 21, pp. 356- 366 ,(1982) , 10.1175/1520-0450(1982)021<0356:AZRRFH>2.0.CO;2
Dong C. Liu, Jorge Nocedal, On the limited memory BFGS method for large scale optimization Mathematical Programming. ,vol. 45, pp. 503- 528 ,(1989) , 10.1007/BF01589116
J. Reisner, R. M. Rasmussen, R. T. Bruintjes, Explicit forecasting of supercooled liquid water in winter storms using the MM5 mesoscale model Quarterly Journal of the Royal Meteorological Society. ,vol. 124, pp. 1071- 1107 ,(1998) , 10.1002/QJ.49712454804
M. Lindskog, K. Salonen, H. Järvinen, D. B. Michelson, Doppler Radar Wind Data Assimilation with HIRLAM 3DVAR Monthly Weather Review. ,vol. 132, pp. 1081- 1092 ,(2004) , 10.1175/1520-0493(2004)132<1081:DRWDAW>2.0.CO;2
A. C. Lorenc, S. P. Ballard, R. S. Bell, N. B. Ingleby, P. L. F. Andrews, D. M. Barker, J. R. Bray, A. M. Clayton, T. Dalby, D. Li, T. J. Payne, F. W. Saunders, The Met. Office global three-dimensional variational data assimilation scheme Quarterly Journal of the Royal Meteorological Society. ,vol. 126, pp. 2991- 3012 ,(2000) , 10.1002/QJ.49712657002
P. Courtier, J.-N. Thépaut, A. Hollingsworth, A strategy for operational implementation of 4D‐Var, using an incremental approach Quarterly Journal of the Royal Meteorological Society. ,vol. 120, pp. 1367- 1387 ,(1994) , 10.1002/QJ.49712051912
Juanzhen Sun, N. Andrew Crook, Dynamical and Microphysical Retrieval from Doppler Radar Observations Using a Cloud Model and Its Adjoint. Part II: Retrieval Experiments of an Observed Florida Convective Storm Journal of the Atmospheric Sciences. ,vol. 55, pp. 835- 852 ,(1998) , 10.1175/1520-0469(1998)055<0835:DAMRFD>2.0.CO;2
David F. Parrish, John C. Derber, The National Meteorological Center's Spectral Statistical-Interpolation Analysis System Monthly Weather Review. ,vol. 120, pp. 1747- 1763 ,(1992) , 10.1175/1520-0493(1992)120<1747:TNMCSS>2.0.CO;2