懸浮微粒數量濃度對梅雨鋒面降水影響之敏感度研究

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姓名

陳文彬(Wen-bin Chen) 查詢紙本館藏

畢業系所

水文與海洋科學研究所

論文名稱

懸浮微粒數量濃度對梅雨鋒面降水影響之敏感度研究
(The sensitivity study of the effect of number concentrations of CCN on Mei-Yu frontal rainfall)

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摘要(中)

大氣中的懸浮微粒可以吸收水氣或其他氣體而凝結成長，稱為凝結核，能夠在成雲過程中促使雲滴生成的稱為雲凝結核，而能促使冰晶形成的則為冰核。在近年來，在雲物理過程中關於氣溶膠在雲和降水過程中的作用及影響是受到許多人的關注及討論的。
本研究利用中尺度氣象模式MM5進行氣溶膠的敏感度實驗。在雲微物理過程選用CLR 參數法，此參數法是將Chen and Liu（2004）針對暖雲所提出的C&L暖雲參數法與Reisner 2參數法相結合。希望能瞭解懸浮微粒的數量濃度變化對於降水的影響。
本研究選定了兩個梅雨季節的降雨個案，一為2008年6月5日典型的鋒面降水個案，另一個為2008年6月16日的西南氣流降水個案，進行模擬懸浮微粒對於梅雨鋒面降水系統之敏感度實驗。將模式初始場的懸浮微粒數量濃度以Whitby(1978)所提出的平均型背景場之懸浮微粒數量濃度為控制組，分別增加以及減少懸浮微粒之數量濃度，並比對其模式模擬結果。懸浮微粒數量濃度的變化對於個案的地面降水、雷達回波強度、水相粒子的變化都有其影響性。並對個案中系統的發展時間有顯著的影響。

摘要(英)

In atmosphere, suspended particulates may absorb the moisture or the other gas to condensation grow, called condensation nucleus. Cloud condensation nucleus can make cloud drops grow, and ice nucleus can make the ice crystal grow. The effect of aerosols on clouds and precipitation is a hot topic and difficult problems in cloud microphysics researches in recent years.
In this endeavor, sensitivity of cold cloud microphysical processes to aerosols has been tested. A non-hydrostatic mesoscale cloud model (MM5)has been used for this simulation. And we used CLR cloud microphysics parameter scheme which couple the warm-cloud parameterization of Chen and Liu(2004) with the ice-phase cloud parameterization of Reisner et al. (1998).In order to understand the effect of number concentration of suspended particulates.
There are two Mei-Yu front cases are chose in this study , one is on June 5, 2008, the typical Mei-Yu frontal precipitation case, and another is on June 16, 2008 southwesterly flow precipitation case. Using the average background aerosols number concentration field which proposed by Whitby(1978) to be a control run, and change the number concentration of aerosols. The simulation results indicated that different concentration of aerosols affect precipitation, radar echoes, hydrometeors’ mixing ratio, and the develop time of the systems.

關鍵字(中)

★ 懸浮

關鍵字(英)

★ CCN

論文目次

中文提要 ……………………………………………………… i
英文提要 ……………………………………………………… ii
誌謝 ……………………………………………………… iii
目錄 ……………………………………………………… iv
表目錄 ……………………………………………………… v
圖目錄 ……………………………………………………… vi
第一章前言………………………………………………… 1
1.1 研究目的…………………………………………… 1
1.2 論文結構…………………………………………… 2
第二章模式介紹…………………………………………… 4
2.1 MM5模式介紹……………………………………… 4
2.2 雲微物理參數化法………………………………… 5
2.2.1 C&L參數法………………………………………… 6
2.2.2 Reisner2參數法…………………………………… 8
2.2.3 CLR參數法………………………………………… 8
2.24 冰核核化速率……………………………………… 8
第三章個案天氣分析……………………………………… 10
3.1 2008年6月5日氣象場分析(典型梅雨鋒面降水個案)…………………………………………………… 10
3.2 2008年6月16日氣象場分析(西南氣流降水個案)………………………………………………… 11
第四章模式架構與實驗設計……………………………… 12
4.1 模式設定…………………………………………… 12
4.2 實驗設計…………………………………………… 13
第五章結果與討論………………………………………… 14
5.1 2008/06/05個案之模擬結果(典型梅雨鋒面降水個案)……………………………………………… 14
5.2 2008/06/16個案之模擬結果(西南氣流降水個案)…………………………………………………… 17
第六章結論………………………………………………… 21
參考文獻 ……………………………………………………… 24

參考文獻

Chen, J.-P.,1994: Theory of Deliquescence and Modified Köhler Curves. J. Atmos. Sci., 51, 3505-3516.
Chen, J.-P., and Lamb, D., 1994:Simulation of Cloud Microphysical and Chemical Processes Using a Multicomponent Framework. Part I: Description of the Microphysical Model. J. Atmos. Sci., 51, 2613-2630.
Chen, J.-P., and Liu, S.-T., 2004:Physically based two-moment bulkwater
parameterization for warm- cloud microphysics. Q. J. R. Meteorol. Soc., 130,
51-78.
Cheng, C.-T., Wang, W.-C., and Chen, J.-P., 2007:A modelling study of aerosol impacts on cloud radiative properties. Q. J. R. Meteorol. Soc.,133, 283-279.
Cheng, C.-T., Wang, W.-C., and Chen, J.-P., 2010:Simulation of the effects of increasing cloud condensation nuclei on mixed-phase clouds and precipitation of a front system. Atmospheric Research.,96,461-476
David B. M., and Y. L. Kogan,2008: A Bulk Parameterization of Giant CCN. J. Atmos. Sci.,65,2458-2466.
DeMott,P.J, and D.C. Rogers,1990: Freezing Nucleation Rates of Dilute Solution
Droplets Measured between −30° and −40°C in Laboratory Simulations of
natural Clouds. J. Atmos. Sci.,47,1056-1064.
Fletcher. N. H., 1962: Physics of rain clouds. Cambridge University Press, p386
Flossmann,A.I.,1998: Interaction of Aerosol Particles and Clouds, J. Atmos. Sci.,55,879-887
Grell, G. A., J. Dudhia, and D. R., Stauffer, 1994：A description of the fifth-generation Penn Stat / NCAR mesoscal model（MM5）. NCAR Technical Note, NCAR/TN-398+STR, pp.121
Hobbs, P.V.and A.L. Rangno, 1996:Precipitation from a maritime cloud layer
with very low droplet concentrations, Atmospheric Research 40, 99-107.
Hong, S.-Y., H.-M. H. Juang, and Q. Zhao, 1998: Implementation of prognostic cloud scheme for a regional spectral model, Mon. Wea. Rev., 126, 2621-2639.
Hong, S.-Y., J. Dudhia, and S.-H. Chen, 2004: A revised approach to ice microphysical processes for the bulk parameterization of clouds and precipitation. Mon. Wea. Rev., 132, 103-120.
Kaufman, Y. J., and R. S. Fraser, 1997: The effect of smoke particles on clouds and climate forcing. Science, 277, 1636-1639.
Khain, A., A. Pokrovsky, M. Pinsky, et al., 2004: Simulation of effects of atmospheric aerosols on deep turbulent convective clouds using a spectral microphysics mixed phase cumulus cloud model. Part I: model description and possible applications. J. Atmos. Sci.,61, 2963-2982.
Khain,A.,D.Rosenfeld, A. Pokrovsky,2005: Aerosol impact on the dynamics and microphysics of deep convective clouds.Q. J. R. Meteorol. Soc.,131, 2639-2663
Khain, A., N. Cohen, B. Lynn, and A. Pokrovsky,2008: Possible Aerosol Effects on Lightning Activity and Structure of Hurricanes. J. Atmos. Sci.,65,3652-3677
Lin, Y., and B. A. Colle, 2009: The 4–5 December 2001 IMPROVE-2 Event: Observed microphysics and comparisons with the Weather Research and Forecasting model. Mon. Wea. Rev., 137, 1372-1392.
Liou,K.N.,and S.C.Ou,1989: The role of cloud microphysical processes in climate: An assessment from a one-dimensional perspective, J. Geophys. Res.,94,8599-8607
Muhlbauer, A. and Lohmann, U. 2008: Sensitivity Studies of the Role of Aerosols in Warm-Phase Orographic Precipitation in Different Dynamical Flow Regimes. J. Atmos. Sci. 65, 2522-2542
Muhlbauer, A. and Lohmann, U. 2009: Sensitivity Studies of Aerosol–Cloud Interactions in Mixed-Phase Orographic Precipitation. J. Atmos. Sci. 66, 9, 2517-2538
Reisner, J., R. M. Rasmussen , R.T.Bruintjes, 1998:Explicit forecasting of supercooled liquid water in winter storms using the MM5 mesoscale model．Q. J. R. Meteorol. Soc.124,1071-1107．
Rosenfeld, D., 1999: TRMM observed first direct evidence of smoke from forest fires inhibiting rainfall .Geophys. Res. Lett., 26, 3105-3108.
Rosenfeld,D. 2000: Suppression of rain and snow by urban and industrial air
pollution.Science, 287, 1793-1796．
Ryan, Brian, F., 2000: A bulk parameterization of the ice particle size distribution and the optical properties in ice clouds, J. atmos. Sci.,57,1436-1451
Tao W-K, X. Li, A. Khain, T. Matsui, S. Lang, and J. Simpson, 2007: Role of atmospheric aerosol concentration on deep convective precipitation: Cloud-resolving model simulations,J. Geophys. Res., 112, D24S18, doi:10.1029/2007JD008728.
Thompson, G., R. M. Rasmussen, and K. Manning, 2004: Explicit forecasts of winter precipitation using an improved bulk microphysics scheme. Part I: Description and sensitivity analysis. Mon. Wea. Rev., 132, 519-542.
Twomey, S., 1977: The influence of pollution on the shortwave albedo of clouds. J. Almos.Sci., 34, 1149-1152.
Van Den Heever, S. and W. R. Cotton,2007: Urban Aerosol Impacts on Downwind Convective Storms.J.Appl.Meteor.climate.,46,828-850
Wang, C., 2005: A modeling study of the response of tropical deep convection to the increase of cloud condensation nuclei concentration: 1. Dynamics and microphysics. J.Geophy. Res.,110, D21211, 16 PP.,doi: 10.1029 /2004JD005720
Williams, E., et al., 2002: Contrasting convective regimes over the Amazon: Implications for cloud electrification. J. Geophys. Res., 107, 8082, doi: 10.1029/2001JD000380
Xiaowen Li, Wei-Kuo Tao, A. P. Khain, J.Simpson, Daniel E. Johnson. (2009) Sensitivity of a Cloud-Resolving Model to Bulk and Explicit Bin Microphysical Schemes. Part I: Cloud Microphysics and Storm Dynamics Interactions. J. Atmos. Sci. 66, 3-21
Xiaowen Li, Wei-Kuo Tao, A. P. Khain, J. Simpson, Daniel E. Johnson. (2009) Sensitivity of a Cloud-Resolving Model to Bulk and Explicit Bin Microphysical Schemes. Part II: Cloud Microphysics and Storm Dynamics Interactions. J. Atmos. Sci. 66, 22-40
Zhang, L.,D.V. Michelangeli and P.A. Taylor,2006: Influence of aerosol concentration on precipitation formation in low-level,warm stratiform clouds.J.Aerosol Science,37,203-217

指導教授

楊明仁(Ming-Jen Yang)

審核日期

2010-8-27

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