A CLOUD-RESOLVING MODELING STUDY OF SURFACE RAINFALL PROCESSES ASSOCIATED WITH LANDFALLING TYPHOON KAEMI(2006)

CUI Xiao-peng; XU Feng-wen

Abstract:

The detailed surface rainfall processes associated with landfalling typhoon Kaemi(2006) are investigated based on hourly data from a two-dimensional cloud-resolving model simulation. The model is integrated for 6 days with imposed large-scale vertical velocity, zonal wind, horizontal temperature and vapor advection from National Center for Environmental Prediction (NCEP) / Global Data Assimilation System (GDAS) data. The simulation data are validated with observations in terms of surface rain rate. The Root-Mean-Squared (RMS) difference in surface rain rate between the simulation and the gauge observations is 0.660 mm h-1, which is smaller than the standard deviations of both the simulated rain rate (0.753 mm h-1) and the observed rain rate (0.833 mm h-1). The simulation data are then used to study the physical causes associated with the detailed surface rainfall processes during the landfall. The results show that time averaged and model domain-mean Ps mainly comes from large-scale convergence (QWVF) and local vapor loss (positive QWVT). Large underestimation (about 15%) of Ps will occur if QWVT and QCM (cloud source/sink) are not considered as contributors to Ps. QWVF accounts for the variation of Ps during most of the integration time, while it is not always a contributor to Ps. Sometimes surface rainfall could occur when divergence is dominant with local vapor loss to be a contributor to Ps. Surface rainfall is a result of multi-timescale interactions. QWVE possesses the longest time scale and the lowest frequency of variation with time and may exert impact on Ps on longer time scales. QWVF possesses the second longest time scale and lowest frequency and can explain most of the variation of Ps. QWVT and QCM possess shorter time scales and higher frequencies, which can explain more detailed variations in Ps. Partitioning analysis shows that stratiform rainfall is dominant from the morning of 26 July till the late night of 27 July. After that, convective rainfall dominates till about 1000 LST 28 July. Before 28 July, the variations of QWVT in rainfall-free regions contribute less to that of the domain-mean QWVT while after that they contribute much, which is consistent to the corresponding variations in their fractional coverage. The variations of QWVF in rainfall regions are the main contributors to that of the domain-mean QWVF, then the main contributors to the surface rain rate before the afternoon of 28 July.

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CUI Xiao-peng, XU Feng-wen. A CLOUD-RESOLVING MODELING STUDY OF SURFACE RAINFALL PROCESSES ASSOCIATED WITH LANDFALLING TYPHOON KAEMI(2006) [J]. Journal of Tropical Meteorology, 2009, (2): 181-191.

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A CLOUD-RESOLVING MODELING STUDY OF SURFACE RAINFALL PROCESSES ASSOCIATED WITH LANDFALLING TYPHOON KAEMI(2006)

Laboratory of Cloud-Precipitation Physics and Severe Storms (LACS), Institute of Atmospheric Physics, Chinese Academy of Sciences

Abstract: The detailed surface rainfall processes associated with landfalling typhoon Kaemi(2006) are investigated based on hourly data from a two-dimensional cloud-resolving model simulation. The model is integrated for 6 days with imposed large-scale vertical velocity, zonal wind, horizontal temperature and vapor advection from National Center for Environmental Prediction (NCEP) / Global Data Assimilation System (GDAS) data. The simulation data are validated with observations in terms of surface rain rate. The Root-Mean-Squared (RMS) difference in surface rain rate between the simulation and the gauge observations is 0.660 mm h-1, which is smaller than the standard deviations of both the simulated rain rate (0.753 mm h-1) and the observed rain rate (0.833 mm h-1). The simulation data are then used to study the physical causes associated with the detailed surface rainfall processes during the landfall. The results show that time averaged and model domain-mean Ps mainly comes from large-scale convergence (QWVF) and local vapor loss (positive QWVT). Large underestimation (about 15%) of Ps will occur if QWVT and QCM (cloud source/sink) are not considered as contributors to Ps. QWVF accounts for the variation of Ps during most of the integration time, while it is not always a contributor to Ps. Sometimes surface rainfall could occur when divergence is dominant with local vapor loss to be a contributor to Ps. Surface rainfall is a result of multi-timescale interactions. QWVE possesses the longest time scale and the lowest frequency of variation with time and may exert impact on Ps on longer time scales. QWVF possesses the second longest time scale and lowest frequency and can explain most of the variation of Ps. QWVT and QCM possess shorter time scales and higher frequencies, which can explain more detailed variations in Ps. Partitioning analysis shows that stratiform rainfall is dominant from the morning of 26 July till the late night of 27 July. After that, convective rainfall dominates till about 1000 LST 28 July. Before 28 July, the variations of QWVT in rainfall-free regions contribute less to that of the domain-mean QWVT while after that they contribute much, which is consistent to the corresponding variations in their fractional coverage. The variations of QWVF in rainfall regions are the main contributors to that of the domain-mean QWVF, then the main contributors to the surface rain rate before the afternoon of 28 July.

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[1]	CHEN Lian-shou, LUO Zhe-xian, LI Ying. Researchadvances on tropical cyclone landfall process [J]. Acta Meteor.Sinica (in Chinese), 2004, 62(5): 541-549.
[2]	ZHANG Hai-xia, CUI Xiao-peng, KANG Feng-qin, et al.Observational analysis for a torrential rain caused by a landfalltyphoon [J]. Plateau Meteor. (in Chinese), 2007, 26(5):980-991.
[3]	ZHAO Yu, CUI Xiao-peng, WANG Jian-guo. A study on aheavy rainfall event triggered by inverted typhoon trough inShandong province [J]. Acta Meteor. Sinica (in Chinese), 2008,66(3): 423-436.
[4]	GAO S T, CUI X P, ZHU Y S, et al. Surface rainfallprocesses as simulated in a cloud resolving model [J]. J.Geophys. Res., 2005, 110, D10202, doi:10.1029/2004JD005467.
[5]	CUI X P, LI X F. Role of surface evaporation in surfacerainfall processes [J]. J. Geophys. Res., 2006, 111, D17112,doi: 10.1029/2005JD006876.
[6]	GAO S T, PING F, LI X F. Cloud microphysical processesassociated with the diurnal variations of tropical convection: A2D cloud resolving modeling study [J]. Meteor. Atmos. Phys.,2006, 91: 9-16.
[7]	GAO S T, PING F, CUI X P, et al. Short timescale air-seacoupling in the tropical deep convective regime [J]. Meteor.Atmos. Phys., 2006, 93: 37-44.
[8]	GAO S T. A three dimensional dynamic vorticity vectorassociated with tropical oceanic convection [J]. J. Geophys.Res., 2007, 113, doi: 10.1029/2006JD008247.
[9]	CUI X P, ZHOU Y S, LI X F. Cloud MicrophysicalProperties in Tropical Convective and Stratiform Regions [J].Meteor. Atmos. Phys., 2007, 98: 1-11.
[10]	SUI C H, LI X F, YANG M J. On the definition ofprecipitation efficiency [J]. J. Atmos. Sci., 2007, 64(12):4506-4513.
[11]	GAO S T, LI X F. Cloud-resolving modeling ofconvective processes [M]. 2008, Dordrecht: Springer, 206 pp.
[12]	CUI X P. A Cloud-Resolving Modeling Study of DiurnalVariations of Tropical Convective and Stratiform Rainfall [J].J. Geophys. Res., 2008, 113, D02113, doi:10.1029/2007JD008990.
[13]	CUI Xiao-peng, LI Xiao-fan, ZONG Zhi-ping. Cloudmicrophysical and Rainfall Responses to Zonal Perturbationsof Sea Surface Temperature: A Cloud-Resolving ModelingStudy [J]. Prog. Nat. Sci., 2009, 19(5): 587-594.
[14]	GAO Shou-ting, CUI Xiao-peng, LI Xiao-fan. A modelingStudy of Diurnal Rainfall Variations during the 21-Day Periodof TOGA COARE [J]. Adv. Atmos. Sci., 2009, 26(5):895-905.
[15]	CUI Xiao-peng. Quantitative diagnostic analysis ofsurface rainfall processes by surface rainfall equation [J]. Chin.J. Atmos. Sci. (in Chinese), 2009, 33(2): 375-387.
[16]	GRABOWSKI W W, WU X Q, MONCRIEFF M W.Cloud-resolving model of tropical cloud systems during PhaseIII of GATE. Part I: Two dimensional experiments [J]. J.Atmos. Sci., 1996, 53(24): 3684-3709.
[17]	LI X F, SUI C H, LAU K M, et al. Large-scale forcingand cloud-radiation interaction in the tropical deep convectiveregime [J]. J. Atmos. Sci., 1999, 56(17): 3028-3042.
[18]	WANG J J, LI X F, CAREY L. Evolution, structure,cloud microphysical and surface rainfall processes of amonsoon convection during the South China Sea MonsoonExperiment [J]. J. Atmos. Sci., 2007, 64(2): 360-380.
[19]	XU X F, XU F W, LI B. A cloud-resolving modelingstudy of a torrential rainfall event over China [J]. J. Geophys.Res., 2007, 112, D17204, doi: 10.1029/2006JD008275.
[20]	SUI C H, LAU K M, TAO W K, et al. The tropicalwater and energy cycles in a cumulus ensemble model. Part I:Equilibrium climate [J]. J. Atmos. Sci., 1994, 51(5): 711-728.
[21]	SUI C H, LI X F, LAU K M. Radiative-convectiveprocesses in simulated diurnal variations of tropical oceanicconvection [J]. J. Atmos. Sci., 1998, 55(13): 2345-2357.
[22]	RUTLEDGE S A, HOBBS P V. The mesoscale andmicroscale structure and organization of clouds and precipitation in midlatitude cyclones. Part VIII: A model forthe "seeder-feeder" process in warm-frontal rainbands [J]. J.Atmos. Sci., 1983, 40(5): 1185-1206.
[23]	RUTLEDGE S A, HOBBS P V. The mesoscale andmicroscale structure and organization of clouds andprecipitation in midlatitude cyclones. Part XII: A diagnosticmodeling study of precipitation development in narrowcold-frontal rainbands [J]. J. Atmos. Sci., 1984, 41(20):2949-2972.
[24]	LIN Y L, FARLEY R D, ORVILLE H D. Bulkparameterization of the snow field in a cloud model [J]. J.Appl. Meteor., 1983, 22(6): 1065-1092.
[25]	TAO W K, SIMPSON J, MCCUMBER M. An ice-watersaturation adjustment [J]. Mon. Wea. Rev., 1989, 117(1):231-235.
[26]	KRUEGER S K, FU Q, LIOU K N, et al. Improvement ofan ice-phase microphysics parameterization for use innumerical simulations of tropical convection [J]. J. Appl.Meteor., 1995, 34(1): 281-287.
[27]	CHOU M D, SUAREZ M J, HO C H, et al.Parameterizations for cloud overlapping and shortwave singlescattering properties for use in general circulation and cloudensemble models [J]. J. Climate, 1998, 11(2): 202-214.
[28]	CHOU M D, KRATZ D P, RIDGWAY W. Infraredradiation parameterization in numerical climate models [J]. J.Climate, 1991, 4(4): 424-437.
[29]	CUI Xiao-peng. A phase analysis of vorticity vectorsassociated with tropical convection [J]. Chin. Phys., 2008,17(6): 2304-2307.
[30]	CUI Xiao-peng, GAO Shou-ting. Effects of zonalperturbations of sea surface temperature on tropicalequilibrium states: A cloud-resolving modeling study [J]. Prog.Nat. Sci., 2008, 18(4): 413-419.
[31]	GAO S T, CUI X P, ZHOU Y S, et al. A Modeling studyof moist and dynamic vorticity vectors associated with 2dtropical convection [J]. J. Geophys. Res., 2005, 110, D17104,doi: 10.1029/2004JD005675.
[32]	GAO Shou-ting, CUI Xiao-peng, LI Xiao-fan. A modelingstudy of relation between cloud amount and SST over westerntropical Pacific cloudy regions during TOGA COARE [J]. Prog.Nat. Sci., 2009, 19(2): 187-193.
[33]	GAO S T, PIN F, LI X F, et al. A convective vorticityvector associated with tropical convection: A two-dimensionalcloud-resolving modeling study [J]. J. Geophys. Res., 2004,109, D14106, doi: 10.1029/2004JD004807.
[34]	CANIAUX G, REDELSPERGER J L, LAFORE J P. Anumerical study of the stratiform region of a fast-movingsquall line. Part I: General description and water and heatbudgets [J]. J. Atmos. Sci., 1994, 51(14): 2046-2074.
[35]	STEINER M, HOUZE R A, YUTER S E. Climatologicalcharacterization of three-dimensional storm structure fromoperational radar and rain gauge data [J]. J. Appl. Meteor.,1995, 34(9): 1978-2007.
[36]	TAO W K, LANG S, SIMPSON J, et al. Retrievalalgorithms for estimating the vertical profiles of latent heatrelease: Their applications for TRMM [J]. J. Meteor. Soc.Japan, 1993, 71(6): 685-700.
[37]	XU K M. Partitioning mass, heat, and moisture budgetsof explicitly simulated cumulus ensembles into convective andstratiform components [J]. J. Atmos. Sci., 1995, 52(5):551-573.
[38]	LANG S, TAO W K, SIMPSON J, et al. Modeling ofconvective-stratiform precipitation processes: Sensitivity topartition methods [J]. J. Appl. Meteor., 2003, 42(4): 505-527.
[39]	KUO H L. On formation and intensification of tropicalcyclones through latent heat release by cumulus convection [J].J. Atmos. Sci., 1965, 22(1): 40-63.
[40]	KUO H L. Further studies of the parameterization of theinfluence of cumulus convection on large-scale flow [J]. J.Atmos. Sci., 1974, 31(5): 1232-1240.

A CLOUD-RESOLVING MODELING STUDY OF SURFACE RAINFALL PROCESSES ASSOCIATED WITH LANDFALLING TYPHOON KAEMI(2006)

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