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Serguei G. Dobrovolski's Stochastic Climate Theory: Models and Applications PDF

By Serguei G. Dobrovolski

ISBN-10: 364208558X

ISBN-13: 9783642085581

ISBN-10: 3662041197

ISBN-13: 9783662041192

The writer describes the stochastic (probabilistic) method of the research of alterations within the weather method. Climatic info and theoretical issues recommend that an enormous a part of climatic variation/variability has a random nature and will be analyzed utilizing the idea of stochastic tactics. This paintings summarizes the result of processing present documents of climatic parameters in addition to acceptable theories: from the speculation of random procedures (based at the result of Kolmogorov and Yaglom) and Hasselmann's "stochastic weather version thought" to lately acquired results.

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Additional info for Stochastic Climate Theory: Models and Applications

Example text

Obviously, there are features of c1imatic variations, either local or dubious, which are not shown in Fig. 15. The 20-ka and 40-ka cyc1es mentioned above are also subject to discussion. 1 General Circulation Models and Coupled Models So-called coupled models represent the most sophisticated instrument of climatic research today. They comprise models of the atmosphere (general circulation models or GCMs) as weIl as models of the ocean, cryosphere, and land surface. The components of coupled models can also be called fuH models in that they inc1ude the three-dimensional representation and interaction of these components on a global time-dependent basis.

3 Scales of Climatic Variability 25 parameter (near-surfaee air temperature in New Orleans, USA, 29°59'N, 90°15' 'W) or presumably related parameters (global temperatures ) plotted with different temporal resolution and scales. In Fig. 9 the resolution is enough to reproduee diurnal variations during several months. 10 represents seasonal variations of daily (maximum) temperatures. In turn, Figs. 12 show ehanges in monthly and annual temperatures at the same site during respeetively 20 and 110 years.

1984). However, even air temperature series are rather short: the length of rare longest monthly NSA T records is a few hundreds of years, and the typical length is several dozens of years. Thus, it is very difficult, using the available data, to analyze features of climatic variations with characteristic scales larger than few dozens of years. Also the. coverage of the earth's surface by meteorological stations was uneven: the territories of the North America, Europe, and the former USSR were better represented, whereas meteorological stations in other regions were sparsely settled.

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Stochastic Climate Theory: Models and Applications by Serguei G. Dobrovolski

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