1998/10/13 by Ales Raidl
Physics and Astronomy · #chao-dyn #nlin.CD #physics.ao-ph
published as Perspective in Modern Prediction Methods,(ed. I. Zelinka), 44-48, 1998, Technical University of Brno, ISBN: 80-214-1222-4 · 5 pages
arxiv created 1998/10/13 · arxiv updated 2009/11/30
The correlation dimension and K2-entropy are estimated from meteorological time- series. The results lead us to claim that seasonal variability of weather is under influence of low dimensional dynamics, whereas changes of weather from day to day are governed by high dimensional system(s). Error-doubling time of this system is less than 3 days. We suggest that the outstanding feature of the weather dynamics is deterministic chaos.