ELECTROMAGNETISM, OPTICS, ACOUSTICS, HEAT TRANSFER, CLASSICAL MECHANICS, AND FLUID DYNAMICS |
Prev
Next
|
|
|
Effects of water and ice clouds on cloud microphysical budget:An equilibrium modeling study |
Gao Shou-Ting (高守亭)a, Li Xiao-Fan (李小凡)b, Zhou Yu-Shu (周玉淑)a |
a Laboratory of Cloud-Precipitation Physics and Severe Storms (LACS), Institute of Atmospheric Physics, Chinese Academy of Sciences, Beijing 100029, China; b Department of Earth Sciences, Zhejiang University, Hangzhou 310027, China |
|
|
Abstract The effects of water and ice clouds on the cloud microphysical budget associated with rainfall are investigated through the analysis of grid-scale data from a series of two-dimensional cloud-resolving model equilibrium sensitivity simulations. The model is imposed without large-scale vertical velocity. In the control experiment, the contribution from rainfall (cM) associated with net evaporation and hydrometeor loss/convergence is about 29% of that from the rainfall (Cm) associated with net condensation and hydrometeor gain/divergence and about 39% of that from the rainfall (CM) associated with net condensation and hydrometeor loss/convergence. The exclusion of ice clouds enhances rainfall contribution of CM, whereas it reduces rainfall contributions of Cm and cM. The removal of radiative effects of water clouds increases rainfall contribution of CM, barely changes rainfall contribution of Cm and reduces the rainfall contribution of cM in the presence of the radiative effects of ice clouds. Elimination of the radiative effects of water clouds reduces the rainfall contributions of CM and Cm, whereas it increases the rainfall contribution of cM in the absence of the radiative effects of ice clouds.
|
Received: 25 March 2013
Revised: 19 April 2013
Accepted manuscript online:
|
PACS:
|
42.68.Ge
|
(Effects of clouds and water; ice crystal phenomena)
|
|
92.60.N-
|
(Cloud physics and chemistry)
|
|
92.60.jf
|
(Precipitation)
|
|
92.60.Wc
|
(Weather analysis and prediction)
|
|
Fund: Project supported by the National Key Basic Research and Development Project of China (Grant No. 2012CB417201), the National Natural Sciences Foundation of China (Grant Nos. 40930950 41075043, 41275065, and 41075044), and the 985 Program of Zhejiang University (Grant No. 188020+193432602/215). |
Corresponding Authors:
Zhou Yu-Shu
E-mail: zys@mail.iap.ac.cn
|
About author: 42.68.Ge; 92.60.N-; 92.60.jf; 92.60.Wc |
Cite this article:
Gao Shou-Ting (高守亭), Li Xiao-Fan (李小凡), Zhou Yu-Shu (周玉淑) Effects of water and ice clouds on cloud microphysical budget:An equilibrium modeling study 2014 Chin. Phys. B 23 024204
|
[1] |
Li X, Sui C H and Lau K M 2002 Mon. Wea. Rev. 130 2481
|
[2] |
Houghton H G 1968 J. Appl. Meteor. 7 851
|
[3] |
Churchill D D and Houze R A 1984 J. Atmos. Sci. 41 933
|
[4] |
Caniaux G, Redelsperger J L and Lafore J P 1994 J. Atmos. Sci. 51 2046
|
[5] |
Steiner M, Houze R A and Yuter S E 1995 J. Appl. Meteor. 34 1978
|
[6] |
Tao W K, Simpson J, Sui C H, Ferrier B, Lang S, Scala J, Chou M D and Pickering K 1993 J. Atmos. Sci. 50 673
|
[7] |
Sui C H, Lau K M, Tao W K and Simpson J 1994 J. Atmos. Sci. 51 711
|
[8] |
Cui X and Li X 2006 J. Geophys. Res. 111 D17112
|
[9] |
Gao S, Cui X, Zhou Y and Li X 2005 J. Geophys. Res. 110 D10202
|
[10] |
Shen X, Wang Y, Zhang N and Li X 2010 J. Geophys. Res. 115 D24205
|
[11] |
Li X and Gao S 2011 Precipitation Modeling and Quantitative Analysis (Berlin: Springer Press)
|
[12] |
Gao S, Zhou Y and Li X 2007 J. Atmos. Sci. 64 656
|
[13] |
Ping F, Luo Z and Li X 2007 Mon. Wea. Rev. 135 2794
|
[14] |
Gao S 2008 J. Geophys. Res. 113 D03108, doi: 10.1029/2007JD009177
|
[15] |
Gao S and Li X 2008 Cloud-resolving Modeling of Convective Processes (Berlin: Springer Press)
|
[16] |
Zhou Y and Li X 2011 Adv. Atmos. Sci. 28 1099
|
[17] |
Li X, Shen X and Liu J 2011 Atmos. Res. 102 444
|
[18] |
Soong S T and Ogura Y 1980 J. Atmos. Sci. 37 2035
|
[19] |
Soong S T and Tao W K 1980 J. Atmos. Sci. 37 2016
|
[20] |
Tao W K and Simpson J 1993 Terr. Atmos. Oceanic Sci. 4 35
|
[21] |
Li X, Sui C H, Lau K M and Chou M D 1999 J. Atmos. Sci. 56 3028
|
[22] |
Sui C H, Li X and Lau K M 1998 J. Atmos. Sci. 55 2345
|
[23] |
Lin Y L, Farley R D and Orville H D 1983 J. Climate Appl. Meteor. 22 1065
|
[24] |
Rutledge S A and Hobbs P V 1983 J. Atmos. Sci. 40 1185
|
[25] |
Rutledge S A and Hobbs P V 1984 J. Atmos. Sci. 41 2949
|
[26] |
Tao W K, Simpson J and McCumber M 1989 Mon. Wea. Rev. 117 231
|
[27] |
Krueger S K, Fu Q, Liou K N and Chin H N S 1995 J. Appl. Meteor. 34 281
|
[28] |
Chou M D, Suarez M J, Ho C H, Yan M M H and Lee K T 1998 J. Atmos. Sci. 55 201
|
[29] |
Chou M D, Kratz D P and Ridgway W 1991 J. Climate 4 424
|
[30] |
Chou M D and Suarez M J 1994 NASA Tech. Memo. 3 85
|
[31] |
Sui C H, Lau K M, Takayabu Y N and D Short 1997 J. Atmos. Sci. 54 639
|
No Suggested Reading articles found! |
|
|
Viewed |
|
|
|
Full text
|
|
|
|
|
Abstract
|
|
|
|
|
Cited |
|
|
|
|
Altmetric
|
blogs
Facebook pages
Wikipedia page
Google+ users
|
Online attention
Altmetric calculates a score based on the online attention an article receives. Each coloured thread in the circle represents a different type of online attention. The number in the centre is the Altmetric score. Social media and mainstream news media are the main sources that calculate the score. Reference managers such as Mendeley are also tracked but do not contribute to the score. Older articles often score higher because they have had more time to get noticed. To account for this, Altmetric has included the context data for other articles of a similar age.
View more on Altmetrics
|
|
|