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

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書目名稱Analysis of Climate Variability影響因子(影響力)




書目名稱Analysis of Climate Variability影響因子(影響力)學(xué)科排名




書目名稱Analysis of Climate Variability網(wǎng)絡(luò)公開度




書目名稱Analysis of Climate Variability網(wǎng)絡(luò)公開度學(xué)科排名




書目名稱Analysis of Climate Variability被引頻次




書目名稱Analysis of Climate Variability被引頻次學(xué)科排名




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書目名稱Analysis of Climate Variability讀者反饋




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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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