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Quantifying and Modeling Climate Time Series

(Autor)

Buch | Hardcover
240 Seiten
2012
Springer (Verlag)
978-94-007-4088-4 (ISBN)
CHF 149,70 inkl. MwSt
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This book details techniques for collecting statistical signals of climate variability and change. It explains the difference between short and long range variability in daily total solar irradiance and air temperature series.
"Quantifying and Modeling Climate Time Series: An Empirical Approach" provides readers with analytical skills based on useful stochastic processes and two functions that quantify the temporal variability of time series. It shows and explains how daily series for basic climate variable, total solar irradiance (TSI) at the top of the atmosphere and air temperature at various spatial averaging level have been quantified. Also made clear is the crucial difference between the series short and long range variability. Focusing on long range variability enables geoscientists to fit a nonstationary integrated moving-average model to represent the daily TSI and air temperature series. A principal virtue of the model is its divisibility into a sum of white noise and random walk. Further, this empirical approach makes possible estimation of the relative importance of stationarity in the model and approximation of the variability range in long temperature series.

Olavi Karner studied mathematics at the University of Tartu, Estonia before receiving his Ph.D. in Atmospheric Physics from the Leningrad Hydrometeorological Institute in 1974. In 1966, Dr. Karner joined the Tartu Observatory in Toravere, Estonia, and since 1977 he has held the position of Research Associate, Atmospheric Sensing Group. His scientific interests include time series analysis for climate studies and the development of satellite cloud classification methods for radiation budget calculations. In 1993, Dr. Karner and coauthor Dr. Sirje Keevallik published "Effective Cloud Cover Variations".

From the Contents: About stationarity.- About stationary increments.- Some useful stochastic processes.- Random walk and Brownian motion.- Fractional Brownian motion (FBM).- Simulation of FBM.- Two quantifying methods.- Structure function.- Quantifying temporal variability.- Quantifying stationary series.- R/S analysis.- Comparison of the two methods.- About the Hurst effect.

Erscheint lt. Verlag 2.7.2012
Reihe/Serie Atmospheric and Oceanographic Sciences Library ; 45
Zusatzinfo 51 black & white illustrations, 1 colour illustrations
Verlagsort Dordrecht
Sprache englisch
Maße 155 x 235 mm
Einbandart gebunden
Themenwelt Mathematik / Informatik Mathematik
Naturwissenschaften Geowissenschaften Geologie
Naturwissenschaften Geowissenschaften Geophysik
Naturwissenschaften Geowissenschaften Meteorologie / Klimatologie
Naturwissenschaften Physik / Astronomie Angewandte Physik
ISBN-10 94-007-4088-3 / 9400740883
ISBN-13 978-94-007-4088-4 / 9789400740884
Zustand Neuware
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