Please use this identifier to cite or link to this item:
Authors: Corti, S.* 
Gualdi, S.* 
Navarra, A.* 
Title: Analysis of the mid-latitude weather regimes in the 200-year control integration of the SINTEX model
Issue Date: 2003
Series/Report no.: 1/46 (2003)
Keywords: Coupled General Circulation Model
systematic error
non-linear dynamics
flow regimes
Subject Classification01. Atmosphere::01.01. Atmosphere::01.01.02. Climate 
03. Hydrosphere::03.01. General::03.01.03. Global climate models 
Abstract: Recent results indicate that climate predictions require models which can simulate accurately natural circulation regimes and their associated variability. The main purpose of this study is to investigate whether (and how) a coupled model can simulate the real world weather regimes. A 200-year control integration of a coupled GCM (the «SINTEX model») is considered. The output analysed consists of monthly mean values of Northern Hemisphere extended winter (November to April) 500-hPa geopotential heights. An Empirical Orthogonal Function (EOF) analysis is first applied in order to define a reduced phase space based on the leading modes of variability. Therefore the principal component PDF in the reduced phase space spanned by two leading EOFs is computed. Based on a PDF analysis in the phase space spanned by the leading EOF1 and REOF2, substantial evidence of the nongaussian regime structure of the SINTEX northern winter circulation is found. The model Probability Density Function (PDF) exhibits three maxima. The 500-hPa height geographical patterns of these density maxima are strongly reminiscent of well-documented Northern Hemisphere weather regimes. This result indicates that the SINTEX model can not only simulate the non-gaussian structure of the climatic attractor, but is also able to reproduce the natural modes of variability of the system.
Appears in Collections:Annals of Geophysics

Files in This Item:
File Description SizeFormat
27_37Corti.pdf3.26 MBAdobe PDFView/Open
Show full item record

Page view(s)

checked on Jun 1, 2023

Download(s) 20

checked on Jun 1, 2023

Google ScholarTM