Precipitation Extremes and Water Vapor Relationships in Current Climate and Implications for Climate Change

被引:28
|
作者
Neelin, J. David [1 ]
Martinez-Villalobos, Cristian [2 ,3 ]
Stechmann, Samuel N. [4 ,5 ]
Ahmed, Fiaz [1 ]
Chen, Gang [1 ]
Norris, Jesse M. [1 ]
Kuo, Yi-Hung [1 ]
Lenderink, Geert [6 ]
机构
[1] Univ Calif Los Angeles, Dept Atmospher & Ocean Sci, Los Angeles, CA 90095 USA
[2] Univ Adolfo Ibanez, Fac Engn & Sci, Santiago, Chile
[3] Data Observ Fdn, Santiago, Chile
[4] Univ Wisconsin, Dept Math, Madison, WI 53706 USA
[5] Univ Wisconsin, Dept Atmospher & Ocean Sci, Madison, WI USA
[6] Royal Netherlands Meteorol Inst, De Bilt, Netherlands
基金
美国国家科学基金会; 美国海洋和大气管理局;
关键词
Rainfall; Climate change; Deep convection; Extreme events; Precipitation probability; Stochastic model; GROSS MOIST STABILITY; CONVECTIVE TRANSITION STATISTICS; GLOBAL WARMING IMPACTS; FUTURE CHANGES; SYSTEM MODEL; HEAVY PRECIPITATION; HYDROLOGICAL CYCLE; QUASI-EQUILIBRIUM; CIRCULATION MODEL; TROPICAL OCEANS;
D O I
10.1007/s40641-021-00177-z
中图分类号
P4 [大气科学(气象学)];
学科分类号
0706 ; 070601 ;
摘要
Purpose of Review: Review our current understanding of how precipitation is related to its thermodynamic environment, i.e., the water vapor and temperature in the surroundings, and implications for changes in extremes in a warmer climate. Recent Findings: Multiple research threads have i) sought empirical relationships that govern onset of strong convective precipitation, or that might identify how precipitation extremes scale with changes in temperature; ii) examined how such extremes change with water vapor in global and regional climate models under warming scenarios; iii) identified fundamental processes that set the characteristic shapes of precipitation distributions. While water vapor increases tend to be governed by the Clausius-Clapeyron relationship to temperature, precipitation extreme changes are more complex and can increase more rapidly, particularly in the tropics. Progress may be aided by bringing separate research threads together and by casting theory in terms of a full explanation of the precipitation probability distribution.
引用
收藏
页码:17 / 33
页数:17
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