The impacts of SST on the track and intensity of Typhoon JANGMI, 2008

ZHAO Biao; QIAO Fangli; WANG Guansuo

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ZHAO Biao, QIAO Fangli, WANG Guansuo. The impacts of SST on the track and intensity of Typhoon JANGMI, 2008[J]. Haiyang Xuebao, 2012, 34(4): 41-52.

Citation:

ZHAO Biao, QIAO Fangli, WANG Guansuo. The impacts of SST on the track and intensity of Typhoon JANGMI, 2008[J]. Haiyang Xuebao, 2012, 34(4): 41-52.

ZHAO Biao, QIAO Fangli, WANG Guansuo. The impacts of SST on the track and intensity of Typhoon JANGMI, 2008[J]. Haiyang Xuebao, 2012, 34(4): 41-52.

Citation:

ZHAO Biao, QIAO Fangli, WANG Guansuo. The impacts of SST on the track and intensity of Typhoon JANGMI, 2008[J]. Haiyang Xuebao, 2012, 34(4): 41-52.

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The impacts of SST on the track and intensity of Typhoon JANGMI, 2008

Key Lab of Marine Science and Numerical Modelling, State Oceanic Administration, Qingdao 266061, China;First Institute of Oceanography, State Oceanic Administration, Qingdao 266061, China

Received Date: 2012-02-03
Rev Recd Date: 2012-04-05

Abstract

Abstract

The Weather Research and Forecasting model (WRF) is employed to test the impacts of sea surface temperature (SST) on the track and intensity of Typhoon Jangmi, 2008 in the region of (15°-41°N, 105°-135°E). Firstly, two scenarios are conducted to test the sensitivities of radiation fluxes to SST. The model-computed radiation fluxes are compared with in-situ data and shows that WRF provides a reasonable prediction only for short-wave radiation fluxes but not for long-wave radiation fluxes in the first scenario. Hourly high resolution SST data from MASNUM wave-tide-circulation coupled system then used as bottom boundary of WRF for the second scenario. The scenario which use SST data from MASNUM system improved the short-wave and long-wave radiation and give a more accurate estimation. Two experiments are also conducted to simulate typhoon JANGMI during September 2008. The high resolution SST data from MASNUM system can improved the typhoon track forecast. The bias of center position of the typhoon reduces about 37% compared with the control experiment. The experiment by using SST from MASNUM model is more realistic than NCEP/NCARG SST from the control run.The results also can show that typhoon intensity has different sensitivity to sea surface temperature in different phase. The SST drop induced by typhoon decrease the heat fluxes transport from ocean to atmosphere and then weaken typhoon.
- WRF,
- SST,
- typhoon track,
- typhoon intensity,
- heat flux,
- radiation flux

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References

冯士筰, 李凤岐, 李少菁.海洋科学导论[M]. 北京: 高等教育出版社, 1999:254-255.

陈世荣. 西北太平洋的热带风暴源地[J]. 气象, 1990, 16 (2):23-26.

王毅, 石汉青, 黄思训. 西北太平洋热带气旋的时空分布特征分析[J]. 自然灾害学报, 2009, 18(6):166-174.

HOLLAND G J. Tropical cyclone motion: Environmental interaction Plus a beta effect[J]. Journal of the Atmosphere Science, 1983, 40: 328-342.

CHEN S S, PRICE J F, ZHAO W, et al. The CBLAST Hurricane program and the next-generation fully coupled atmosphere-wave-ocean models for hurricane research and prediction[J]. Bulletin of the American, Meteorological Society 88, 2007:311-317.

EMANUEL K. An air-sea interaction theory for tropical cyclones, Part Ⅰ: Steady-state maintenance[J]. Journal of the Atmosphere Science, 1986, 43: 585-604.

EMANUEL K. Sensitivity of tropical cyclones to surface exchange coefficients and a revised steady-state model incorporating eye dynamics[J]. Journal of the Atmosphere Science, 1995, 52:3969-3976.

EMANUEL K. Tropical cyclones[J]. Annual Review of Earth and Planetary Sciences, 2003, 31:75-104.

BENDER M A, GINIS I. Real-case simulations of hurricane-ocean interaction using a high-resolution coupled model: effects on hurricane intensity[J]. Monthly Weather Review, 2000, 128:917-945.

XIE Lian, LIU Bin, LIU Huiqing, et al. Numerical simulation of tropical cyclone intensity using an air-sea-wave coupled prediction system[J]. Monthly Weather Review, 2011, 18(OS):19-43.

ZHU Tong, ZHANG Dalin. The impact of the storm induced SST cool on hurricane intensity[J]. Advances in atmospheric sciences, 2006, 23(1):14-22.

刘翔, 蒋国荣, 卓海峰. SST对台风"珍珠"影响的数值试验[J]. 海洋预报, 2009, 26(3):1-11.

JOHN C. Warner, BRANDY Armstrong,HE Ruoying, et al. Development of a Coupled Ocean-Atmosphere-Wave-Sediment Transport(COAWST) Modeling System[J] . Ocean Modelling, 2010, 35:230-244.

CHEN S S,ZHAO W, Tenerelli J E, et al. Impact of the AVHRR sea surface temperature on atmospheric forcing in the Japan/East Sea[J]. Geophysical Research Letters, 2001, 28:4539-4542.

KATHERINE M. Lacasse, MICHAELE Splitt, STEVEN M. Lazarus, et al. The impact of high-resolution sea surface temperatures on the simulated nocturnal Florida marine boundary Layer[J]. Monthly Weather Review, 2008, 136:1349-1372.

WANG W, BRUYERE C, DUDA M, et al. Weather Research and Forecast ARW Version 3.2 modeling system user’s guide . NCAR, 2011.

MLAWER E J, TAUBMAN S J, BROWN P D, et al. Radiative transfer for inhomogeneous atmosphere: RRTM, a validated correlated-k model for the longwave[J]. Journal of Geophysical Research, 1997, 102 (D匱吴伩债??制??愳瘭椱猶??圲?丼??圾敛椱?????乄?卉桁甠祊椮?华??敥瑲?慣污??偳牴敵摤楹挠瑯楦漠湣?潮晶??慴湩摯普愠汯汢楳湥杲??畤爠牤極捲慩湮敧猠?睨楥琠桷?瑮桴敥??摭癯慮湳捯敯摮??畸牰牥楲捩慭湥敮?圠創???潧搠敡氠孭?嵳???潡湬瑥栠汴祷?圭敤慩瑭桥敮牳?副敮癡楬攠睭???ぬせ???ㄠ??????ぬ??て???e Atmosphere Science, 1989, 46:3077-3107.

魏传杰, 于非, 吕连港, 等. 南黄海海面大气长波辐射计算方法的比较[J]. 海洋科学进展, 2009, 27(3):302-311.

LV L G, YU F, DIAO X Y, et al. Direct observation of Radiative flux in the Southern Yellow Sea[J]. Ocean Science Journal, 2008, 43(2):115-126.

LUMB F E. The influence of cloud on hourly amounts of total solar radiation at the sea surface[J]. Quarterly Journal of the Royal Meteorological Society, 1964, 90:43-56

HONG S-Y, NOH Y, DUDHIA J. A new vertical diffusion package with an explicit treatment of entrainment processes[J]. Monthly Weather Review, 2006, 134:2318-2341.

MONIN A S, OBUKHOV A M. Basic laws of turbulent mixing in the surface layer of the atmosphere[J]. Contrib. Geophys. Inst. Acad, 1954, 151:163-187.

LIN Y-L, FARLEY R D, ORVILLE H D. Bulk parameterization of the snow field in a cloud model[J]. Journal of Applied Meteorology, 1983, 22:1065-1092.

CHEN F, DUDHIA J. Coupling an advanced land-surface/ hydrology model with the Penn State/ NCAR MM5 modeling system. Part Ⅰ: Model description and implementation[J]. Monthly Weather Review, 2001, 129: 569-585.

WANG G, QIAO F, XIA C. Parallelization of a coupled wave-circulation model and its application[J]. Ocean Dynamics, 2010, 60: 331-339.

BLUMBERG A F, MELLOR G L. A description of a three-dimensional coastal ocean circulation model //HEAPS N S. Three Dimensional Coastal Ocean Models. Washington, D C: American Geophysical Union, 2010, 4:1-16.

XIA C, QIAO F, ZHANG Q, et al. Numerical modeling of the quasi-global ocean circulation based on POM[J]. Journal of Hydrodynamics, 2004, 16: 537-543.

YUAN Y, PAN Z, HUA F, et al. LAGFD-WAM numerical wave model:Ⅰ. Basic physical model[J]. Acta Oceanologica Sinica, 1991, 10: 483-488.

杨永增, 乔方利, 赵伟, 等. 球坐标系下MASNUM 海浪数值模式的建立及其应用[J]. 海洋学报, 2005, 27: 1-7.

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