Titlebook: Climate Time Series Analysis; Classical Statistica Manfred Mudelsee Book 2014Latest edition Springer International Publishing Switzerland 2

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https://doi.org/10.1007/978-3-319-04450-7Atmospheric Sciences; Climatic Regression; Correlation Statistics; Frequency Analysis; Weather and Stati

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978-3-319-37448-2Springer International Publishing Switzerland 2014

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ProVoet onder begeleiding van het CBOtherefore its predictability even over a few days. It is complex because many variables within the Earth’s atmosphere, such as temperature, barometric pressure, wind velocity, humidity, clouds and precipitation, are interacting, and they do so nonlinearly. Extending the view to longer timescales, th

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Richtlijnen behandeling van voeteniable—the risk of climate extremes—is of high socioeconomical relevance.In the context of climate change, it is important to move from stationary to nonstationary (time-dependent) models: with climate changes also risk changes may be associated..Traditionally, extreme value data are evaluated in two

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