首页 | 本学科首页   官方微博 | 高级检索  
     检索      


Analysis of the tropical climate variability in a two-column framework
Authors:Gilles Bellon  Guillaume Gastineau  Aur??lien Ribes  Herv?? Le Treut
Institution:1. Centre National de Recherches M??t??orologiques, CNRS and M??t??o France, 42, avenue Gaspard Coriolis, 31057, Toulouse Cedex 01, France
2. Laboratoire de M??t??orologie Dynamique, Institut Pierre-Simon Laplace, CNRS and Ecole Normale Sup??rieure, Paris, France
3. Centre National de Recherches M??t??orologiques, CNRS and M??t??o France, Toulouse, France
Abstract:This work examines the relevance of a classical two-column modeling framework of the tropical climate in terms of observed natural variability. A method is developed to analyze the observed tropical climate in a simple framework that features a moist, ascending column and a dry, subsiding one. This method is used to analyze the natural variability of the tropical climate in the ERA40 reanalysis and in ISCCP satellite data. It appears that the seasonal cycle of the tropic-wide sea surface temperature (SST) is almost linearly linked to the seasonal cycle of the relative area of the moist regions, as predicted by the sensitivity of the two-column models. A more detailed analysis shows that this link is the product of a complex interaction and adjustments between the moist and dry regions. The seasonal cycle of low-cloud cover in the dry regions also appears to interact with the SST seasonal cycle: the low-cloud cover influences the tropic-wide SST via its direct radiative forcing on the local SST and it appears to be controlled by the SST difference between moist and dry regions. By contrast, the SST interannual variability appears to be driven by the El Ni?o Southern Oscillation (ENSO), with no significant impact from the changes in the relative area of the moist regions or in the low-cloud cover in the dry regions independently of the ENSO. ENSO-related changes in the area of moist regions and low-cloud cover constitute negative feedbacks on the ENSO-related SST variability.
Keywords:
本文献已被 SpringerLink 等数据库收录!
设为首页 | 免责声明 | 关于勤云 | 加入收藏

Copyright©北京勤云科技发展有限公司  京ICP备09084417号