DOI: 10.1175/JCLI-D-15-0066.1
Scopus记录号: 2-s2.0-84957716899
论文题名: Cloud regime variability over the Azores and its application to climate model evaluation
作者: Rémillard J. ; Tselioudis G.
刊名: Journal of Climate
ISSN: 8948755
出版年: 2015
卷: 28, 期: 24 起始页码: 9707
结束页码: 9720
语种: 英语
Scopus关键词: Clouds
; High pressure effects
; Storms
; Uncertainty analysis
; Climate classification/regimes
; Climate model simulations
; Cumulus cloud
; Global distribution
; High pressure system
; Shallow cumulus clouds
; Stratiform clouds
; Stratocumulus clouds
; Climate models
; algorithm
; climate classification
; climate modeling
; climatology
; cumulus
; meteorology
; observational method
; stratiform cloud
; Azores
; Graciosa [Azores]
; Portugal
英文摘要: From its location on the subtropics-midlatitude boundary, the Azores is influenced by both the subtropical high pressure and the midlatitude baroclinic storm regimes and therefore experiences a wide range of cloud structures, from fair-weather scenes to stratocumulus sheets and deep convective systems. This work combines three types of datasets to study cloud variability in the Azores: A satellite analysis of cloud regimes, a reanalysis characterization of storminess, and a 19-month field campaign that occurred on Graciosa Island. Combined analysis of the three datasets provides a detailed picture of cloud variability and the respective dynamic influences, with emphasis on low clouds that constitute a major uncertainty source in climate model simulations. The satellite cloud regime analysis shows that the Azores cloud distribution is similar to the mean global distribution and can therefore be used to evaluate cloud simulation in global models. Regime analysis of low clouds shows that stratocumulus decks occur under the influence of the Azores high pressure system, while shallow cumulus clouds are sustained by cold-air outbreaks, as revealed by their preference for postfrontal environments and northwesterly flows. An evaluation of climate model cloud regimes from phase 5 of CMIP (CMIP5) over the Azores shows that all models severely underpredict shallow cumulus clouds, while most models also underpredict the occurrence of stratocumulus cloud decks. It is demonstrated that the regime analysis can assist in the selection of case studies representing specific climatological cloud distributions. With all the tools now in place, a methodology is suggested to better understand cloud-dynamics interactions and attempt to explain and correct climate model cloud deficiencies. © 2015 American Meteorological Society. Citation statistics:
资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/50893
Appears in Collections: 气候变化事实与影响
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作者单位: Columbia University, NASA Goddard Institute for Space Studies, New York, NY, United States; School of Marine and Atmospheric Sciences, Stony Brook University, Stony Brook, NY, United States
Recommended Citation:
Rémillard J.,Tselioudis G.. Cloud regime variability over the Azores and its application to climate model evaluation[J]. Journal of Climate,2015-01-01,28(24)