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arXiv 1104.0265physics.geo-phphysics.data-an
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多分量地球气候模式的最大熵权

Maximum-Entropy Weighting of Multi-Component Earth Climate Models

Robert K. Niven

摘要:

提出了一个基于最大熵的框架,用于综合多个地球气候模型的预测。这可以从一组气候模型中确定最具代表性(最可能)的模型-由指定的约束条件定义-消除了计算整个集合的需要。两种方法的基础上,个别的气候模型或模型的集合,受单一的成本(能源)的限制或竞争的成本效益的限制。一个有限的时间限制修改模型合成框架的最低成本,在有限的变化率,也报告。

英文摘要:

A maximum entropy-based framework is presented for the synthesis of projections from multiple Earth climate models. This identifies the most representative (most probable) model from a set of climate models -- as defined by specified constraints -- eliminating the need to calculate the entire set. Two approaches are developed, based on individual climate models or ensembles of models, subject to a single cost (energy) constraint or competing cost-benefit constraints. A finite-time limit on the minimum cost of modifying a model synthesis framework, at finite rates of change, is also reported.

机构、总结、中文摘要均由AI分析而来,可能存在错误,请以论文正文为准。

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