气候变化领域集成服务门户(CCPortal): Evaluating the Performance of Climate Models Based on Wasserstein Distance

CCPortal

DOI	10.1029/2020GL089385
	Evaluating the Performance of Climate Models Based on Wasserstein Distance
	Vissio G.; Lembo V.; Lucarini V.; Ghil M.
发表日期	2020
ISSN	0094-8276
卷号	47 期号:21
英文摘要	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 the skill of a climate model. 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. ©2020. The Authors.
英文关键词	Benchmarking; Learning to rank; Probability distributions; Climatic variables; Comprehensive evaluation; Moments of the distribution; Physical field; Regions of interest; Specific areas; Wasserstein distance; Climate models; benchmarking; climate modeling; CMIP; numerical method; performance assessment; physical analysis; probability
语种	英语
来源期刊	Geophysical Research Letters
文献类型	期刊论文
条目标识符	http://gcip.llas.ac.cn/handle/2XKMVOVA/169489
作者单位	CEN, Meteorological Institute, University of Hamburg, Hamburg, Germany; Institute of Geosciences and Earth Resources (IGG), National Research Council (CNR), Turin, Italy; Institute of Atmospheric Sciences and Climate (ISAC), National Research Council (CNR), Bologna, Italy; Department of Mathematics and Statistics, University of Reading, Reading, United Kingdom; Centre for the Mathematics of Planet Earth, University of Reading, Reading, United Kingdom; Geosciences Department and Laboratoire de Météorologie Dynamique (CNRS and IPSL), Ecole Normale Supérieure and PSL University, Paris, France; Department of Atmospheric & Oceanic Sciences, University of California, Los Angeles, CA, United States
推荐引用方式 GB/T 7714	Vissio G.,Lembo V.,Lucarini V.,et al. Evaluating the Performance of Climate Models Based on Wasserstein Distance[J],2020,47(21).
APA	Vissio G.,Lembo V.,Lucarini V.,&Ghil M..(2020).Evaluating the Performance of Climate Models Based on Wasserstein Distance.Geophysical Research Letters,47(21).
MLA	Vissio G.,et al."Evaluating the Performance of Climate Models Based on Wasserstein Distance".Geophysical Research Letters 47.21(2020).