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A NUMERICAL STUDY OF TROPICAL DEEP CONVECTION USING WRF MODEL

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  • The Weather Research Forecast model (WRF) configured with high resolution and NCEP 1°×1° reanalysis data were used to simulate the development of a tropical deep convection over the Tiwi Islands, northern Australia, and to investigate the sensitivity of model results to model configuration and parameterization schemes of microphysical processes. The simulation results were compared with available measurements. The results show that the model can reproduce most of the important characteristics of the observed diurnal evolution of the convection, including the initiation of convection along the sea-breeze front, which is then reinforced by downdraft outflows, merging of cells and the formation of a deep convective system. However, further improvement is needed to simulate more accurately the location and the time for initiation of the deep convective system. Sensitivity tests show that double-nesting schemes are more accurate than the non-nesting schemes in predicting the distribution and intensity of precipitation as far as this particular case is concerned. Additionally, microphysical schemes also have an effect on the simulated amount of precipitation. It is shown that the best agreement is reached between the simulation results and observations when the Purdue Lin scheme is used.
  • [1] HARTMANN D L. Tropical Convective Clouds [EB/OL][2007-04-05]. http://eos.atmos.washington.edu.
    [2] DING Yi-hui, WANG Zhun-ya, SONG Ya-fang et al. Causeof the unprecedented freezing disaster in January 2008 and itspossible association with the global warming [J]. Acta Meteor.Sinica, 2008, 66(5): 808-825.
    [3] ZHAO Si-xiong, SUN Jian-hua. Multi-scale systems andconceptual model on freezing rain and snow storm oversouthern China during January-February 2008 [J]. Climat.Environ. Res., 2008, 13(4): 351-367.
    [4] LI Chong-yin, YANG Hui, GU Wei. Cause of severeweather with cold air, freezing rain and snow over south Chinain January 2008 [J]. Climate Environ. Res., 2008, 13 (2):113-122.
    [5] GU Lei, WEI Ke, HUANG Rong-hui. Severe disaster ofblizzard, freezing rain and low temperature in January 2008 inChina and its association with the anomalies of East Asiamonsoon system [J]. Climate Environ. Res., 2008, 13(4):405-418.
    [6] WANG Dong-hai, LIU Chong-jian, LIU Ying, et al. Apreliminary analysis of features and causes of the snow stormevent over the Southern China in January 2008 [J]. ActaMeteor. Sinica, 2008, 66(3): 405-422.
    [7] WANG Shao-wu. Climatological aspects of severe wintersin China [J]. Adv. Climate Change Res., 2008, 4(2): 68-72.
    [8] LIU Chao-feng, CHEN Hong, LIN Zhao-hui. Numericalsimulation of the impact of sea surface temperature anomalieson the climate anomalies over China in January 2008 [J].Climat. Environ. Res., 2008, 13(4): 500-509.
    [9] ZONG Hai-feng, ZHANG Qing-yun, BUHE Cho-law, et al.Numerical simulation of possible impacts of Kuroshio andNorth Atlantic sea surface temperature anomalies on the SouthChina snow disaster in January 2008 [J]. Climate Environ.Res., 2008, 13 (4): 491-499.
    [10] FU Jian-jian, LI Shuang-lin, WANG Yan-ming. Influenceof prior thermal state of global oceans on the formation of thedisastrous snow storm in January 2008 [J]. Climate Environ.Res., 2008, 13 (4): 479-490.
    [11] COLLINS W D, RASCH P J, et al. Description of theNCAR Community Atmosphere Model (CAM3.0) [R]//Technical Report NCAR/TN-464+ STR, Boulder: NationalCenter for Atmospheric Research, 2004, 216pp.
    [12] CHEN Hai-shan, SUN Zhao-bo, NI Dong-hong, et al.Numerical experiments on the responses of East Asian wintermonsoon to autumn and winter SSTA [J]. J. Nanjing Inst.Meteor., 2002, 25(6): 721-730.
    [13] DONG Min. Validation study on the East Asian climatesimulated by CCM2 [J]. Acta Meteor. Sinica, 1997, 55(1):692-702.
    [14] TANG Ming-min, ZENG Wen-hua, HE Yuan. Theinfluence of the summer SSTA of the eastern hemispherictropical season the Asian monsoon circulation andprecipitation- a numerical experiment [J]. J. Trop. Meteor.,1993, 9(4): 289-298.
    [15] XU Hai-ming, HE Jing-hai, DONG Min. Interannualvariability of the Meiyu onset and its association with northAtlantic oscillation and SST anomalies over north Atlatic [J].Acta Meteor. Sinica, 2001, 59(6): 694-706.
    [16] SMITH T M, REYNOLDS R W. Improved extendedreconstruction of SST (1854-1997) [J]. J. Climate, 2004, 17:2466-2477.
    [17] HE Xi-cheng, DING Yi-hui, HE Jin-hai. Responsecharacteristics of the East Asian winter monsoon with ENSOevents [J]. Chin. J. Atmos. Sci., 2008, 32(2): 335-344.
    [18] BLACKMON M L. A general circulation model study ofJanuary climate anomalous Patterns associated withinterannual variation of equatorial Pacific sea surfaceTemperature [J]. J. Atmos. Sci., 1983, 40 (6): 1 410-1 425.
    [19] SHUKLA J, WALLACE J M. Numerical simulation of theatmospheric response to Pacific SST anomalies [J]. J. Atmos.Sci., 1983, 40(7): 1 613-1 630.
    [20] CHEN Lie-ting. Features of atmosphere circulationrelated to global weather abnormal and its relation with seasurface temperature [J]. Chin. Sci. Bull., 1974, 19(8):372-375.
    [21] WU Guo-xiong, WANG Jing-fang. Comparison of thecorrelations of lower tropospheric circulation with tropical andextratropical sea surface temperature anomalies [J]. ActaMeteor. Sinica, 1996, 54(4): 387-397.
    [22] WALLACE J M, GUTZLER D S. Teleconnection in thegeopotential height field during the Northern Hemispherewinter [J]. Mon. Wea. Rev., 1981, 109(4): 784-812.
    [23] GAMBO K, KUDO K. Three dimensionalteleconnections in the zonally asymmetric height field duringthe Northern Hemisphere winter [J]. J. Meteor. Soc. Japan,1983, 61: 36-52.
    [24] LI Shuang-lin. Impact of northwest Atlantic SSTanomalies on the circulation over the Baikal Mountains duringearly winter [J]. J. Meteor. Soc. Japan, 2004, 82(4): 971-988.
    [25] YANG Jian-ling, LIU Qin-yu. The “charge/discharge”roles of the basin-wide mode of the Indian Ocean SSTanomaly―influence on the South Asian High in summer [J].Acta Oceanol. Sinica, 2008, 30(2): 12-19.
    [26] MATSUNO T. Quasi-geostropic motions in theequatorical area [J]. J. Meteor. Soc. Japan, 1966, 44, 25-43.
    [27] GILL A E. Some simple solutions for heat-inducedtropical circulation [J]. Quart. J. Roy. Meteor. Soc., 1980, 106(449): 447-462.

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LI Jia-peng, YIN Yan, JIN Lian-ji, et al. A NUMERICAL STUDY OF TROPICAL DEEP CONVECTION USING WRF MODEL [J]. Journal of Tropical Meteorology, 2010, 16(3): 247-254.
LI Jia-peng, YIN Yan, JIN Lian-ji, et al. A NUMERICAL STUDY OF TROPICAL DEEP CONVECTION USING WRF MODEL [J]. Journal of Tropical Meteorology, 2010, 16(3): 247-254.
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A NUMERICAL STUDY OF TROPICAL DEEP CONVECTION USING WRF MODEL

Abstract: The Weather Research Forecast model (WRF) configured with high resolution and NCEP 1°×1° reanalysis data were used to simulate the development of a tropical deep convection over the Tiwi Islands, northern Australia, and to investigate the sensitivity of model results to model configuration and parameterization schemes of microphysical processes. The simulation results were compared with available measurements. The results show that the model can reproduce most of the important characteristics of the observed diurnal evolution of the convection, including the initiation of convection along the sea-breeze front, which is then reinforced by downdraft outflows, merging of cells and the formation of a deep convective system. However, further improvement is needed to simulate more accurately the location and the time for initiation of the deep convective system. Sensitivity tests show that double-nesting schemes are more accurate than the non-nesting schemes in predicting the distribution and intensity of precipitation as far as this particular case is concerned. Additionally, microphysical schemes also have an effect on the simulated amount of precipitation. It is shown that the best agreement is reached between the simulation results and observations when the Purdue Lin scheme is used.

LI Jia-peng, YIN Yan, JIN Lian-ji, et al. A NUMERICAL STUDY OF TROPICAL DEEP CONVECTION USING WRF MODEL [J]. Journal of Tropical Meteorology, 2010, 16(3): 247-254.
Citation: LI Jia-peng, YIN Yan, JIN Lian-ji, et al. A NUMERICAL STUDY OF TROPICAL DEEP CONVECTION USING WRF MODEL [J]. Journal of Tropical Meteorology, 2010, 16(3): 247-254.
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