Climate Time Series Analysis pp 3-32 | Cite as
Introduction
Abstract
“Weather is important but hard to predict”—lay people and scientists alike will agree. The complexity of that system limits the knowledge about it and therefore 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, that is, the climate 1 system in its original sense (the World Meteorological Organization defines a timescale boundary between weather and climate of 30 years), and also to larger spatial and further processual scales considered to influence climate (Earth’s surface, cryosphere, Sun, etc.), does not reduce complexity. This book loosely adopts the term “climate” to refer to this extended view, which shall also include “paleoclimate” as the climate within the geologic past.
Keywords
Oxygen Isotopic Composition Multivariate Time Series Climate Time Series Lake Sediment Core Time Series Analysis MethodReferences
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