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Abstract:
As an approach to the technological problem that the wind data of QuikSCAT scatterometer cannot accurately describe the zone of typhoon-level strong wind speed, some objective factors such as the typhoon moving speed, direction and friction are introduced in this study to construct the asymmetric strengthening of the QuikSCAT wind field. Then by adopting a technology of four-dimensional data assimilation, an experiment that includes both the assimilation and forecasting phases is designed to simulate Typhoon Rananim numerically. The results show that with model constraints and adjustment, this technology can incorporate the QuikSCAT wind data to the entire column of the model atmosphere, improve greatly the simulating effects of the whole-column wind, pressure field and the track as well as the simulated typhoon intensity covered by the forecast phase, and work positively for the forecasting of landfall locations.
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References
|
[1]
|
LIU Chun-xia, HE Xi-cheng. The analysis on the statisticalcharacter of QuikSCAT scatterometer winds and strong windfrequency using remote sensor data from QuikSCAT [J]. J.Trop. Meteor., 2003, 19(suppl.): 107-117. |
|
[2]
|
HOFFMAN R N. A preliminary study of the impact of theERS1 C-band scatterometer wind data on the ECWMF globaldata assimilation system [J]. J. Geophys. Res., 1993, 98:10233-10244. |
|
[3]
|
HSU C S, LIU W T. Wind and pressure fields near tropicalcyclone Oliver derived from scatterometer observations [J]. J.Geophys. Res., 1996, 101: 17021-17027. |
|
[4]
|
SCHMULLIUS C C. Monitoring Siberian forecast andagriculture with the ERS-1 wind scatterometer [J]. IEEE Trans.Geosci. Remote Sens., 1997, 35: 1364-1366. |
|
[5]
|
ISAKSEN L, STOFFELEN A. ERS scatterometer winddata impact on ECWMF’s tropical cyclone forecasts [J]. IEEETrans. Geosci. Sens., 2000, 38: 1885-1892. |
|
[6]
|
LIU Chun-xia, WANG Jing, QI Yi-quan. A preliminarystudy on QuikSCAT wind data assimilation using model WRF[J]. J. Trop. Oceanogr., 2004, 23(6): 69-74. |
|
[7]
|
CARSWELL J R, CASTELLS A. Observed saturation inC- and Ku- band ocean backscatter at hurricane force winds [J].J. Geophys. Res., 1999, 104(C5): 11485-11497. |
|
[8]
|
BOURASSA M A, LEGLER D M, O’BRIEN J J, et al.SeaWinds validation with research vessels [J]. J. Geophys.Res., 2003, 108(C2): 3019. |
|
[9]
|
HU Bang-hui, TAN Yan-ke, ZHANG Xue-min.Distribution of Wind Speed of Tropical Cyclones over the Sea[J]. J. Atmos. Sci., 1992, 23(3): 316-322. |
|
[10]
|
HUANG Xiao-gang, FEI Jian-fang, ZHANG Gen-sheng.Construction of wind speed in typhoon on ocean surface [J]. J.Trop. Meteor., 2004, 20(2): 129-136. |
|
[11]
|
NIU Xue-xin. The dynamics of Tropical Cyclones [M].Beijing: China Meteorological Press, 1992: 12-14. |
|
[12]
|
CHEN Lian-shou, DING Yi-hui. An Introduction to WestPacific Typhoons [M]. Beijing: Science Press, 1979: 485-488. |
|
[13]
|
LOW-NAM S, DAVIS C. Development of TropicalCyclone Bogussing Scheme for the MM5 System [R].Preprints of the Eleventh PSU/NCAR Mesoscale Model UsersWorkshop. Jun 25-27, 2001. Boulder, Colorado. 130-134. |
|
[14]
|
BARNES S. A technique for maximizing details innumerical map analysis [J]. J. Appl. Meteor., 1964, 3:395-409. |
|
[15]
|
MENG Zhi-yong, XU Xiang-de, CHEN Lian-shou.TBB-nudging four-dimensional data assimilation method andsimulations on heavy rain process in Wuhan on 20 July, 1998[J]. J. Atmos. Sci., 2002, 26(5): 663-676. |
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