气候变化领域集成服务门户(CCPortal): Memory Properties in Cloud-Resolving Simulations of the Diurnal Cycle of Deep Convection

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DOI	10.1029/2019MS001897
	Memory Properties in Cloud-Resolving Simulations of the Diurnal Cycle of Deep Convection
	Daleu C.L.; Plant R.S.; Woolnough S.J.; Stirling A.J.; Harvey N.J.
发表日期	2020
ISSN	19422466
卷号	12 期号:8
英文摘要	A series of high-resolution three-dimensional simulations of the diurnal cycle of deep convection over land are performed using the new Met Office NERC cloud-resolving model. This study features scattered convection. A memory function is defined to identify the effects of previous convection in modifying current convection. It is based on the probability of finding rain at time t0 and at an earlier time t0−Δt compared to the expected probability given no memory. The memory is examined as a function of the lag time Δt. It is strongest at gray-zone scales of 4–10 km, there is a change of behavior for spatial scales between 10 and 15 km, and it is reduced substantially for spatial scales larger than 25 km. At gray-zone scales, there is a first phase of the memory function which represents the persistence of convection and it is maintained for about an hour. There is a second phase which represents the suppression of convection in regions which were raining 1 to 3 hr previously, and subsequently a third phase which represents a secondary enhancement of precipitation. The second and third phases of the memory function develop earlier for weaker forcing. When thermodynamic fluctuations resulting from the previous day are allowed to influence the development of convection on the next day, there are fewer rainfall events with relatively large sizes, which are more intense, and thus decay and recover more slowly, in comparison to the simulations where feedback from previous days is removed. Further sensitivity experiments reveal that convective memory attributed to these thermodynamic fluctuations resides in the lower troposphere. © 2020. The Authors.
英文关键词	convective memory; diurnal cycle of deep convection; memory function
语种	英语
scopus关键词	Rain; Change of behavior; Cloud resolving model; Cloud resolving simulations; Lower troposphere; Memory functions; Memory properties; Thermodynamic fluctuations; Three dimensional simulations; Natural convection; atmospheric convection; climate forcing; diurnal variation; precipitation (climatology); spatial variation; thermodynamics; three-dimensional modeling; troposphere
来源期刊	Journal of Advances in Modeling Earth Systems
文献类型	期刊论文
条目标识符	http://gcip.llas.ac.cn/handle/2XKMVOVA/156682
作者单位	Department of Meteorology, University of Reading, Reading, United Kingdom; National Centre for Atmospheric Science, Department of Meteorology, University of Reading, Reading, United Kingdom; Met Office, Exeter, United Kingdom
推荐引用方式 GB/T 7714	Daleu C.L.,Plant R.S.,Woolnough S.J.,et al. Memory Properties in Cloud-Resolving Simulations of the Diurnal Cycle of Deep Convection[J],2020,12(8).
APA	Daleu C.L.,Plant R.S.,Woolnough S.J.,Stirling A.J.,&Harvey N.J..(2020).Memory Properties in Cloud-Resolving Simulations of the Diurnal Cycle of Deep Convection.Journal of Advances in Modeling Earth Systems,12(8).
MLA	Daleu C.L.,et al."Memory Properties in Cloud-Resolving Simulations of the Diurnal Cycle of Deep Convection".Journal of Advances in Modeling Earth Systems 12.8(2020).