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Response of Extreme Rainfall to Atmospheric Warming and Wetting: Implications for Hydrologic Designs Under a Changing Climate
被引:6
作者:
Zhang, Jinghan
[1
,2
]
Yang, Long
[1
,2
]
Yu, Miao
[3
,4
]
Chen, Xiaodong
[5
]
机构:
[1] Nanjing Univ, Sch Geog & Ocean Sci, Nanjing, Peoples R China
[2] Nanjing Univ, Frontiers Sci Ctr Crit Earth Mat Cycling, Nanjing, Peoples R China
[3] Nanjing Joint Inst Atmospher Sci, Key Lab Transportat Meteorol, China Meteorol Adm, Nanjing, Peoples R China
[4] Chinese Acad Meteorol Sci, State Key Lab Severe Weather, Beijing, Peoples R China
[5] Pacific Northwest Natl Lab, Atmospher Sci & Global Change Div, Richland, WA USA
基金:
中国国家自然科学基金;
关键词:
extreme rainfall;
moisture content;
temperature;
sensitivity;
PMP;
China;
PROBABLE MAXIMUM PRECIPITATION;
FUTURE CHANGES;
HEAVY PRECIPITATION;
SPATIAL EXTENT;
WRF MODEL;
FLOOD;
SENSITIVITY;
SIMULATION;
EVENT;
SCALE;
D O I:
10.1029/2022JD038430
中图分类号:
P4 [大气科学(气象学)];
学科分类号:
0706 ;
070601 ;
摘要:
Understanding the processes of rainfall extremes and their response to anthropogenic climate change is pivotal for improved adaptation of unprecedented flood hazards around the world. Here we take the record-breaking 20 July 2021 storm over central China as an example. We investigate the response of this particular storm to atmospheric warming (i.e., increase in air temperature) and wetting (i.e., increase in atmospheric moisture content) based on a series of convection-permitting model simulations. Our results show non-monotonic changes of the space-time rainfall variability to either increased temperature or atmospheric moisture content. The most extreme rain rate is produced when relative humidity is increased by 20%-40% or temperature is increased by less than 2 degrees C. The non-monotonic rainfall response is more clearly revealed at fine spatial (100-1,000 km(2)) and temporal scales (less than 6 hr) rather than over the entire domain (similar to 10(4) km(2)) and aggregated over the storm duration (around 2 days). This is mainly attributable to the distinct feedbacks from atmospheric dynamics (i.e., moisture convergence and interaction with regional topography) rather than regulated by thermodynamic changes alone. Atmospheric warming poses notable changes in the vertical structure of storm cells, contributing to reduced areal reduction factors at small spatial scales and short durations, while atmospheric wetting additionally modifies storm evolution properties. Our modeling analyses challenge the existing practices for hydrologic designs under a changing climate, highlighting particular vulnerability for cities or small basins to short-duration rainfall extremes and the resultant flash flood hazards. Plain Language Summary Understanding rainfall extremes and their response to climate change plays a pivotal role in improved hydrologic designs and flood adaptation strategies. In this study, the 20 July 2021 storm that produced record-breaking rainfall over central China is used to examine the response of rainfall extremes to atmospheric warming and wetting (i.e., increase in air temperature and atmospheric moisture content, respectively) through a series of high-resolution model simulations. Our results find that the coverage of heavy rainfall and peak rain rate show non-monotonic changes with either atmospheric warming or wetting. It is tied to modified atmospheric dynamics in the changing storm environment. Insights into rainfall processes at finer spatial scales and shorter durations reveal more details about the factors that dictate the non-monotonic responses. We imply that it is not safe to adopt conventional practices in hydrologic designs, including the estimation of probably maximum precipitation, areal reduction factors for hypothetical extreme storms (or design storms). We also highlight the great sensitivities of short-duration rainfall extremes due to changes in either temperature or moisture content. This would pose great challenges to safe designs for cities or small basins that are particularly vulnerable to these types of hydrological extremes.
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