气候变化领域集成服务门户(CCPortal): Bergen metrics: composite error metrics for assessing performance of climate models using EURO-CORDEX simulations

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DOI	10.5194/gmd-17-3321-2024
	Bergen metrics: composite error metrics for assessing performance of climate models using EURO-CORDEX simulations
	Samantaray, Alok K.; Mooney, Priscilla A.; Vivacqua, Carla A.
发表日期	2024
ISSN	1991-959X
EISSN	1991-9603
起始页码	17
结束页码	8
卷号	17 期号:8
英文摘要	Error metrics are useful for evaluating model performance and have been used extensively in climate change studies. Despite the abundance of error metrics in the literature, most studies use only one or two metrics. Since each metric evaluates a specific aspect of the relationship between the reference data and model data, restricting the comparison to just one or two metrics limits the range of insights derived from the analysis. This study proposes a new framework and composite error metrics called Bergen metrics to summarize the overall performance of climate models and to ease interpretation of results from multiple error metrics. The framework of Bergen metrics are based on the p norm, and the first norm is selected to evaluate the climate models. The framework includes the application of a non-parametric clustering technique to multiple error metrics to reduce the number of error metrics with minimum information loss. An example of Bergen metrics is provided through its application to the large ensemble of regional climate simulations available from the EURO-CORDEX initiative. This study calculates 38 different error metrics to assess the performance of 89 regional climate simulations of precipitation and temperature over Europe. The non-parametric clustering technique is applied to these 38 metrics to reduce the number of metrics to be used in Bergen metrics for eight different sub-regions in Europe. These provide useful information about the performance of the error metrics in different regions. Results show it is possible to observe contradictory behaviour among error metrics when examining a single model. Therefore, the study also underscores the significance of employing multiple error metrics depending on the specific use case to achieve a thorough understanding of the model behaviour.
语种	英语
WOS研究方向	Geology
WOS类目	Geosciences, Multidisciplinary
WOS记录号	WOS:001209216500001
来源期刊	GEOSCIENTIFIC MODEL DEVELOPMENT
文献类型	期刊论文
条目标识符	http://gcip.llas.ac.cn/handle/2XKMVOVA/300249
作者单位	Bjerknes Centre for Climate Research; Norwegian Research Centre (NORCE); Universidade Federal do Rio Grande do Norte
推荐引用方式 GB/T 7714	Samantaray, Alok K.,Mooney, Priscilla A.,Vivacqua, Carla A.. Bergen metrics: composite error metrics for assessing performance of climate models using EURO-CORDEX simulations[J],2024,17(8).
APA	Samantaray, Alok K.,Mooney, Priscilla A.,&Vivacqua, Carla A..(2024).Bergen metrics: composite error metrics for assessing performance of climate models using EURO-CORDEX simulations.GEOSCIENTIFIC MODEL DEVELOPMENT,17(8).
MLA	Samantaray, Alok K.,et al."Bergen metrics: composite error metrics for assessing performance of climate models using EURO-CORDEX simulations".GEOSCIENTIFIC MODEL DEVELOPMENT 17.8(2024).