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

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期刊全称Analysis of Climate Variability
期刊简称Applications of Stat
影响因子2023Hans Storch,Antonio Navarra
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图书封面Titlebook: Analysis of Climate Variability; Applications of Stat Hans Storch,Antonio Navarra Book 19951st edition Springer-Verlag Berlin Heidelberg 19
影响因子EUROPEAN SCHOOl OF CLiMATOlOGY AND NATURAL HAZARDS The training of scientific and technical personnel and the development of highly qualified scientists are, and have always been, among the important concerns of the European Commission. Advanced training is an important requirement for the implementation of a common EU policy in science and technology. The European School of Climatology and Natural Hazards was started as apart of the training and education activities of the European Programme on Climatology and Natural Hazards (EPOCH), and is continued under the subsequent research programme (ENVIRONMENT 1990-1994). The school consists of annual courses on specialised subjects within re­ search in climatology and natural hazards, and is open to graduating, grad­ uate and post graduate students in these fields. Each of the courses is organized in cooperation with a European Institu­ tion involved in the current research programme, and is aimed at giving to the students formal lectures and participation in informal discussions with leading researchers. The present volume is based on the lectures given at the course held on the island of Elba from the 30th October to the 6th of Novemb
Pindex Book 19951st edition
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Climate Spectra and Stochastic Climate Modelsfluctuations can be understood as the response of the slow climate variables to stochastic forcing by the fast atmospheric fluxes (Hasselmann, 1976). The stochastic climate model explains the statistical properties of mid-latitude sea surface temperature anomalies on time scales of up to a few years
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Interpreting High-Resolution Proxy Climate Data — The Example of Dendroclimatology human activities, should serve to reinforce our determination to understand similar details of the “natural” (i.e. non-anthropogenic) variability of climate. Reconstructing past climates on all timescales is clearly important if we hope to understand the mechanisms that control climate (Bradley, 19
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The Simulation of Weather Types in GCMs: A Regional Approach to Control-Run Validationnce across different regions of the globe. The time and spatial scales upon which various GCMs operate are much cruder (less-well resolved) than those of the real world. Nevertheless, GCM experiments offer the most promising approach for gaining insight into the physical mechanisms underlying past a
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The Evaluation of Forecastst not sufficient, conditions for the usefulness of such forecasts is that they have real skill in discriminating one forecast situation from another and that this skill is known in advance by the user. Two “no-skill” forecast schemes would be random forecasts or constant (e.g. fixed climatology) for
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