范例 发表于 2025-3-23 11:27:33
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Eric D. Hsi,John L. Fraterundary. This chapter is orientated towards analysing the impact of the ocean on the atmosphere. The timescales analysed are from the seasonal to the multidecadal. Statistical analysis is playing an important role in advancing our knowledge of air-sea interaction and its influence on worldwide climat半身雕像 发表于 2025-3-23 20:32:33
Gerald M. Davis,Kay Lynne Lantis,William G. Finnt 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) forVEST 发表于 2025-3-24 00:09:31
Aseem Lal,Ritu Nayars . where . might be, for instance, the total annual (or monthly) precipitation occurring at a given station, or the maximum annual precipitation occurring in a 24 hour period. Probabilistic models are useful for assessing risk, which, in its simplest form, is the probability of an undesirable outcoAggregate 发表于 2025-3-24 05:52:33
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Charles L. Goolsby,Mary Paniagua,Laura Marszaleknce 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讨人喜欢 发表于 2025-3-24 13:44:03
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ted probability distribution are called a stochastic process. This mathematical construct can be applied to time series of climate variables. Strictly speaking, a climate variable is generated by deterministic processes. However since a myriad of processes contribute to the behavior of a climate var弄污 发表于 2025-3-24 21:53:15
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