Titlebook: Analysis of Climate Variability; Applications of Stat Hans Storch,Antonio Navarra Book 19951st edition Springer-Verlag Berlin Heidelberg 19

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Climate Spectra and Stochastic Climate Modelsistics of the atmospheric variables, the concept of the stochastic climate model is introduced in this chapter. Its application to climate variations is then illustrated in the context of the midlatitude sea surface temperature anomalies. The other applications are then briefly discussed.

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Interpreting High-Resolution Proxy Climate Data — The Example of Dendroclimatologyouse signal?”, natural records of past climate variability (so-called “proxy” climate data) that are annually resolved and that capture decadal-tocentury timescale variability, represent an essential basis for comparison with relatively short modern climate records which are rarely longer than a hundred years.

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Stochastic Modeling of Precipitation with Applications to Climate Model Downscalinge of what engineers term a probability intensity duration relationship. A probability intensity duration relationship is simply the family of probability distributions of the annual maximum precipitation for duration . where . might take on, for example, values of 1, 2, 3, 6, 12, and 24 hours.

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Field Intercomparisonltivariate methods described in Chapter 8 or as a collection of individual or . significance tests, the collective or . significance of the results depends crucially on the number of data points or tests and their interdependence.