CMIP6模式对北太平洋和西北太平洋动力降尺度性能的量化

IF 2.2 4区 地球科学 Q3 METEOROLOGY & ATMOSPHERIC SCIENCES
Seok-Geun Oh, Bong-Gwan Kim, Yang-Ki Cho, Seok-Woo Son
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引用次数: 0

摘要

选择一个可靠的全球气候模式作为动态降尺度模拟的驱动力对于获得可靠的区域海洋气候至关重要。考虑到它们在提供物理量和长期趋势方面的准确性,我们量化了1979-2014年北太平洋(NP)和西北太平洋(NWP)海洋耦合模式比对项目第6阶段(CMIP6)的17个模式的性能。在归一化评价指标的基础上,各模型对某一物理量的性能主要通过性能评分(performance score, PS)来量化,PS的取值范围为0 ~ 100。总体而言,CMIP6模式合理地再现了驱动变量的物理量以及海洋热含量和温度趋势的变暖。然而,它们的性能在很大程度上取决于所分析的变量和区域。EC-Earth-Veg和CNRM-CM6-1模式对NP和NWP海洋的PS值最高,分别为85.89和76.97。EC-Earth3模型系列对NP海洋驱动变量的敏感性较低,反映在其PS上,模型性能显著依赖于NWP海洋驱动变量。然而,提供更好的物理量与更好的趋势表现并不相关。然而,MRI-ESM2-0模式对NWP海洋的物理量表现出与参考文献相似的增温趋势,因此可以作为该海洋动态降尺度的适当驱动力。该研究为NP和NWP海洋的动态降尺度研究提供了客观信息。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

Quantification of The Performance of CMIP6 Models for Dynamic Downscaling in The North Pacific and Northwest Pacific Oceans

Quantification of The Performance of CMIP6 Models for Dynamic Downscaling in The North Pacific and Northwest Pacific Oceans

Selecting a reliable global climate model as the driving forcing in simulations with dynamic downscaling is critical for obtaining a reliable regional ocean climate. With respect to their accuracy in providing physical quantities and long-term trends, we quantify the performances of 17 models from the Coupled Model Inter-comparison Project Phase 6 (CMIP6) over the North Pacific (NP) and Northwest Pacific (NWP) oceans for 1979–2014. Based on normalized evaluation measures, each model’s performance for a physical quantity is mainly quantified by the performance score (PS), which ranges from 0 to 100. Overall, the CMIP6 models reasonably reproduce the physical quantities of the driving variables and the warming ocean heat content and temperature trends. However, their performances significantly depend on the variables and region analyzed. The EC-Earth-Veg and CNRM-CM6-1 models show the best performances for the NP and NWP oceans, respectively, with the highest PS values of 85.89 and 76.97, respectively. The EC-Earth3 model series are less sensitive to the driving variables in the NP ocean, as reflected in their PS. The model performance is significantly dependent on the driving variables in the NWP ocean. Nevertheless, providing a better physical quantity does not correlate with a better performance for trend. However, MRI-ESM2-0 model shows a high performance for the physical quantity in the NWP ocean with warming trends similar to references, and it could thus be used as an appropriate driving forcing in dynamic downscaling of this ocean. This study provides objective information for studies involving dynamic downscaling of the NP and NWP oceans.

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来源期刊
Asia-Pacific Journal of Atmospheric Sciences
Asia-Pacific Journal of Atmospheric Sciences 地学-气象与大气科学
CiteScore
5.50
自引率
4.30%
发文量
34
审稿时长
>12 weeks
期刊介绍: The Asia-Pacific Journal of Atmospheric Sciences (APJAS) is an international journal of the Korean Meteorological Society (KMS), published fully in English. It has started from 2008 by succeeding the KMS'' former journal, the Journal of the Korean Meteorological Society (JKMS), which published a total of 47 volumes as of 2011, in its time-honored tradition since 1965. Since 2008, the APJAS is included in the journal list of Thomson Reuters’ SCIE (Science Citation Index Expanded) and also in SCOPUS, the Elsevier Bibliographic Database, indicating the increased awareness and quality of the journal.
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