The tenth IMSC, Beijing, China, 2007 - International Meetings on ...
The tenth IMSC, Beijing, China, 2007 - International Meetings on ...
The tenth IMSC, Beijing, China, 2007 - International Meetings on ...
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Kulkarni Ashwini, Sabade S S and Kripalani R H, <str<strong>on</strong>g>2007</str<strong>on</strong>g> Spatial variability of intra-seas<strong>on</strong>al<br />
oscillati<strong>on</strong>s during extreme Indian m<strong>on</strong>so<strong>on</strong>s, <str<strong>on</strong>g>Internati<strong>on</strong>al</str<strong>on</strong>g> Journal of Climatology (submitted<br />
revised manuscript)<br />
Storch Hans v<strong>on</strong> and Zwiers Francis 1999 Statistical Analysis in Climate Research,<br />
Cambridge University Press, 484 pp<br />
Statistical analysis of definiteness of selected climate classificati<strong>on</strong>s from a view of climate change<br />
KVETON, VIT<br />
Czech Hydrometeorological Institute<br />
vit.kvet<strong>on</strong>@chmi.cz<br />
ZAK, M.<br />
Czech Hydrometeorological Institute<br />
More climate classificati<strong>on</strong>s are used for different fields of ec<strong>on</strong>omy, especially in<br />
agriculture and forestry. Am<strong>on</strong>g specialists arises the questi<strong>on</strong>, what changes of climate<br />
regi<strong>on</strong>s borders will occur in associati<strong>on</strong> with climate change. Presentati<strong>on</strong> deals with problem<br />
of uncompromisingness of Quitt’s regi<strong>on</strong>al climate classificati<strong>on</strong> which is frequently used in the<br />
Czech Republic. Statistical evaluati<strong>on</strong> of uncompromisingness of climate regi<strong>on</strong>s in 0.5 km<br />
squares is presented. Capabilities of using of fuzzy sets methods for computerized creating of<br />
digital maps of similar climate classificati<strong>on</strong> are discusses, too. Results show that the<br />
discussed type of the climate classificati<strong>on</strong> is unambiguous from the principle and it is not<br />
suitable for climate change studies. Koeppen’s classificati<strong>on</strong> is discussed from above<br />
menti<strong>on</strong>ed view, too.<br />
<str<strong>on</strong>g>The</str<strong>on</strong>g> structure of predictability in a quasigeostrophic atmospheric model<br />
Frank Kwasniok<br />
University of Exeter, United Kingdom<br />
F.Kwasniok@exeter.ac.uk<br />
Ulrike Feudel<br />
University of Oldenburg, Germany<br />
<str<strong>on</strong>g>The</str<strong>on</strong>g> local predictability of planetary atmospheric flow is investigated in the framework of a<br />
three-level quasigeostrophic (QG) model with realistic climatological mean state and variance<br />
pattern as well as Pacific/North America and North Atlantic Oscillati<strong>on</strong> telec<strong>on</strong>necti<strong>on</strong> patterns.<br />
Local predictability is quantified by instantaneous and finite-time Lyapunov exp<strong>on</strong>ents and<br />
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