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Titlebook: In Extremis; Disruptive Events an Jürgen Kropp,Hans-Joachim Schellnhuber Book 2011 Springer-Verlag Berlin Heidelberg 2011 Bootstrapping.Cor

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31#
發(fā)表于 2025-3-26 23:13:00 | 只看該作者
Extreme Value and Trend Analysis Based on Statistical Modelling of Precipitation Time Seriesre found in summer. The spread of the distribution is shrinking. But in the south, relatively high precipitation sums become more likely and relatively low precipitation sums become more unlikely in turn of the twentieth century.
32#
發(fā)表于 2025-3-27 02:16:01 | 只看該作者
33#
發(fā)表于 2025-3-27 05:51:45 | 只看該作者
34#
發(fā)表于 2025-3-27 12:59:42 | 只看該作者
oretical climate models.A valuable source for meteorologistsThe book addresses a weakness of current methodologies used in extreme value assessment, i.e. the assumption of stationarity, which is not given in reality. With respect to this issue a lot of new developed technologies are presented, i.e.
35#
發(fā)表于 2025-3-27 15:34:24 | 只看該作者
Book 2011ality. With respect to this issue a lot of new developed technologies are presented, i.e. influence of trends vs. internal correlations, quantitative uncertainty assessments, etc. The book not only focuses on artificial time series data, but has a close link to empirical measurements, in order to ma
36#
發(fā)表于 2025-3-27 20:04:43 | 只看該作者
37#
發(fā)表于 2025-3-28 00:29:12 | 只看該作者
Regional Determination of Historical Heavy Rain for Reconstruction of Extreme Flood Eventsta series [4.5]. The presented case study of the extreme flood of 1824 in the Neckar catchment and their triggering precipitation patterns can take place in a recent flood risk management and can be used to validate the results in trend and extreme value analysis of hydrometeorological time series.
38#
發(fā)表于 2025-3-28 03:49:51 | 只看該作者
39#
發(fā)表于 2025-3-28 07:40:17 | 只看該作者
Detrended Fluctuation Studies of Long-Term Persistence and Multifractality of Precipitation and Riveied detrended fluctuation analysis (DFA) and multifractal DFA . We found that the daily runoffs are characterised by a power-law decay of the autocorrelation function above some crossover time that usually is several weeks.
40#
發(fā)表于 2025-3-28 14:29:59 | 只看該作者
Book 2011uncertainty assessments, etc. The book not only focuses on artificial time series data, but has a close link to empirical measurements, in order to make the suggested methodologies applicable for practitioners in water management and meteorology.
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