论文标题
使用Wasserstein距离对IPCC模型进行排名
Ranking IPCC Models Using the Wasserstein Distance
论文作者
论文摘要
我们提出了一种基于使用Wasserstein距离（WD）的使用基准的方法，用于相遇的气候模型并评估其针对基准的性能。该距离提供了一种严格的方法来定量测量两个概率分布之间的差异。提出的方法是灵活的，可以在任何数量的维度中应用；它可以考虑到分布的所有时刻，对气候模型进行排名。通过选择气候变量和感兴趣区域的组合，可以突出特定的模型缺陷。 WD可以对气候模型技能进行全面评估。我们将这种方法应用于选定数量的物理领域，以模拟它们的性能对模型进行排名，并在地球特定区域中某些选定的物理领域的模拟中指出它们的弱点。
We propose a methodology for intercomparing climate models and evaluating their performance against benchmarks based on the use of the Wasserstein distance (WD). This distance provides a rigorous way to measure quantitatively the difference between two probability distributions. The proposed approach is flexible and can be applied in any number of dimensions; it allows one to rank climate models taking into account all the moments of the distributions. By selecting the combination of climatic variables and the regions of interest, it is possible to highlight specific model deficiencies. The WD enables a comprehensive evaluation of climate model skill. We apply this approach to a selected number of physical fields, ranking the models in terms of their performance in simulating them, and pinpointing their weaknesses in the simulation of some of the selected physical fields in specific areas of the Earth.
