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In physics, a statistical ensemble is a large set of (mental) copies of a system, considered all at once; each copy of the system representing a different possible detailed realisation of the system, consistent with the system's observed macroscopic properties. A climate ensemble involves slightly different models of the climate system. There are at least four different types, to be described below. For the equivalent in numerical weather prediction, see ensemble forecasting. ==Aims== The aim of running an ensemble is usually in order to be able to deal with uncertainties in the system. An ultimate aim may be to produce policy relevant information such as a probability distribution function of different outcomes. This is proving to be very difficult due to a number of problems. These include: #The ensemble has to be wide ranging to ensure it covers the whole range where the climate models may be good. #Measuring what is a good model is difficult. This may need to consider not only errors in the observation but also in the model. #Any prior assumptions about distribution can influence the probability distribution function produced. 抄文引用元・出典: フリー百科事典『 ウィキペディア（Wikipedia）』 ■ウィキペディアで「Climate ensemble」の詳細全文を読む スポンサード リンク
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