globalchange  > 影响、适应和脆弱性
DOI: 10.1002/2015MS000574
Scopus记录号: 2-s2.0-84956867463
论文题名:
Robust effects of cloud superparameterization on simulated daily rainfall intensity statistics across multiple versions of the Community Earth System Model
作者: Kooperman G; J; , Pritchard M; S; , Burt M; A; , Branson M; D; , Randall D; A
刊名: Journal of Advances in Modeling Earth Systems
ISSN: 19422466
出版年: 2016
卷: 8, 期:1
起始页码: 140
结束页码: 165
语种: 英语
英文关键词: Cams ; Climate models ; Climatology ; Parameterization ; Rain ; Rain gages ; Soil moisture ; Community atmosphere model ; Extreme precipitation ; Global precipitation climatology projects ; Rainfall intensity ; Superparameterization ; Tropical rainfall measuring missions ; Precipitation (meteorology) ; climate forcing ; climate modeling ; cloud ; global climate ; Madden-Julian oscillation ; monsoon ; parameterization ; precipitation intensity ; rainfall ; regional pattern ; spatial resolution ; statistical data ; TRMM
英文摘要: This study evaluates several important statistics of daily rainfall based on frequency and amount distributions as simulated by a global climate model whose precipitation does not depend on convective parameterization - Super-Parameterized Community Atmosphere Model (SPCAM). Three superparameterized and conventional versions of CAM, coupled within the Community Earth System Model (CESM1 and CCSM4), are compared against two modern rainfall products (GPCP 1DD and TRMM 3B42) to discriminate robust effects of superparameterization that emerge across multiple versions. The geographic pattern of annual-mean rainfall is mostly insensitive to superparameterization, with only slight improvements in the double-ITCZ bias. However, unfolding intensity distributions reveal several improvements in the character of rainfall simulated by SPCAM. The rainfall rate that delivers the most accumulated rain (i.e., amount mode) is systematically too weak in all versions of CAM relative to TRMM 3B42 and does not improve with horizontal resolution. It is improved by superparameterization though, with higher modes in regions of tropical wave, Madden-Julian Oscillation, and monsoon activity. Superparameterization produces better representations of extreme rates compared to TRMM 3B42, without sensitivity to horizontal resolution seen in CAM. SPCAM produces more dry days over land and fewer over the ocean. Updates to CAM's low cloud parameterizations have narrowed the frequency peak of light rain, converging toward SPCAM. Poleward of 50°, where more rainfall is produced by resolved-scale processes in CAM, few differences discriminate the rainfall properties of the two models. These results are discussed in light of their implication for future rainfall changes in response to climate forcing. © 2016. The Authors.
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资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/75925
Appears in Collections:影响、适应和脆弱性
气候变化与战略

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作者单位: Department of Earth System Science, University of California, Irvine, CA, United States; Department of Atmospheric Science, Colorado State University, Fort Collins, CO, United States

Recommended Citation:
Kooperman G,J,, Pritchard M,et al. Robust effects of cloud superparameterization on simulated daily rainfall intensity statistics across multiple versions of the Community Earth System Model[J]. Journal of Advances in Modeling Earth Systems,2016-01-01,8(1)
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