4.1 Article

Evaluation of the Korea Meteorological Administration Advanced Community Earth-System model (K-ACE)

期刊

出版社

KOREAN METEOROLOGICAL SOC
DOI: 10.1007/s13143-019-00144-7

关键词

CMIP6; K-ACE; Earth-system model; Coupled model; Climatology

资金

  1. Korea Meteorological Institute (KMI) [KMA2018-00321] Funding Source: Korea Institute of Science & Technology Information (KISTI), National Science & Technology Information Service (NTIS)

向作者/读者索取更多资源

Scientific community has been elaborating to better understand the observed climate and its variations, and to improve the capability for predicting future climate. Many modeling groups participating in the Coupled Model Inter-comparison Project (CMIP) have been working towards multi-model ensemble approach that have become a standard technique for projecting future climate and for assessing associated uncertainties to deal with intrinsic shortcomings of climate models. Within this context, the National Institute of Meteorological Sciences/Korea Meteorological Administration (NIMS/KMA) has developed the KMA Advanced Community Earth-system model (K-ACE) under KMA-Met Office collaboration for climate research. This paper provides general descriptions of the first generation K-ACE model including the coupling strategy, as well as preliminary evaluations of the model performance in mean climate fields. The first generation K-ACE model appears to capture the mean climatology and the inter-annual variability of the observed climate. Horizontal distributions and the variability of the surface and pressure-level variables agree well with observations with correlation coefficients of 0.88-0.99 and 0.69-0.99, respectively. Measured in terms of performance index between the observed and simulated fields, the K-ACE performance is comparable with those of 29 CMIP5 models. This study also identifies key weaknesses of the K-ACE in the present-day climate. Improving these deficiencies will be a topic of future studies. The NIMS/KMA will employ the K-ACE model to contribute to the CMIP6 experiment.

作者

我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。

评论

主要评分

4.1
评分不足

次要评分

新颖性
-
重要性
-
科学严谨性
-
评价这篇论文

推荐

暂无数据
暂无数据