The simulation of the Indo-Pacific warm pool SST warming trend in CMIP5 and CMIP6

IF 4 3区 地球科学 Q1 GEOSCIENCES, MULTIDISCIPLINARY Geoscience Letters Pub Date : 2024-06-26 DOI:10.1186/s40562-024-00346-6
Wenrong Bai, Hailong Liu, Pengfei Lin, Hongyan Shen
{"title":"The simulation of the Indo-Pacific warm pool SST warming trend in CMIP5 and CMIP6","authors":"Wenrong Bai, Hailong Liu, Pengfei Lin, Hongyan Shen","doi":"10.1186/s40562-024-00346-6","DOIUrl":null,"url":null,"abstract":"This paper evaluates Indo-Pacific warm pool (IPWP) sea surface temperature (SST) warming biases of Coupled Model Intercomparison Project Phase 5 (CMIP5) and CMIP6. The IPWP warming trend in the CMIP5 multi-model ensemble (MME) is closer to observation than in CMIP6 MME, but the IPWP expanding trend is the opposite. There is no qualitative improvement in the simulation of IPWP warming from CMIP5 to CMIP6. In addition, four metrics were used to investigate the performance of Indo-Pacific region warming trends in all models. CMIP6 models perform better than CMIP5 with smaller root mean square error and bias in MME and higher skill scores in MME and top models, which is tightly linked to their better performance in simulating associated physical processes in CMIP6 models. IPWP warming biases are mainly attributed to the combined effects of positive atmospheric process biases and negative ocean dynamics term biases. The positive atmospheric process biases are primarily related to the shortwave radiation and latent heat flux from atmospheric forcing, the latter of which can be attributed to the biases in surface wind fields. Compared with CMIP5 models, the IPWP warming simulated by CMIP6 models is weaker, related to the less robust atmospheric processes and the shallower thermocline anomalies simulated by CMIP6.","PeriodicalId":48596,"journal":{"name":"Geoscience Letters","volume":null,"pages":null},"PeriodicalIF":4.0000,"publicationDate":"2024-06-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Geoscience Letters","FirstCategoryId":"89","ListUrlMain":"https://doi.org/10.1186/s40562-024-00346-6","RegionNum":3,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"GEOSCIENCES, MULTIDISCIPLINARY","Score":null,"Total":0}
引用次数: 0

Abstract

This paper evaluates Indo-Pacific warm pool (IPWP) sea surface temperature (SST) warming biases of Coupled Model Intercomparison Project Phase 5 (CMIP5) and CMIP6. The IPWP warming trend in the CMIP5 multi-model ensemble (MME) is closer to observation than in CMIP6 MME, but the IPWP expanding trend is the opposite. There is no qualitative improvement in the simulation of IPWP warming from CMIP5 to CMIP6. In addition, four metrics were used to investigate the performance of Indo-Pacific region warming trends in all models. CMIP6 models perform better than CMIP5 with smaller root mean square error and bias in MME and higher skill scores in MME and top models, which is tightly linked to their better performance in simulating associated physical processes in CMIP6 models. IPWP warming biases are mainly attributed to the combined effects of positive atmospheric process biases and negative ocean dynamics term biases. The positive atmospheric process biases are primarily related to the shortwave radiation and latent heat flux from atmospheric forcing, the latter of which can be attributed to the biases in surface wind fields. Compared with CMIP5 models, the IPWP warming simulated by CMIP6 models is weaker, related to the less robust atmospheric processes and the shallower thermocline anomalies simulated by CMIP6.
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
CMIP5 和 CMIP6 对印度洋-太平洋暖池海温变暖趋势的模拟
本文评估了耦合模式相互比较项目第五阶段(CMIP5)和 CMIP6 的印度洋-太平洋暖池(IPWP)海面温度(SST)变暖偏差。与 CMIP6 多模式集合相比,CMIP5 多模式集合中的 IPWP 增暖趋势更接近观测结果,但 IPWP 的扩大趋势则相反。从 CMIP5 到 CMIP6 对 IPWP 增暖的模拟没有质的改进。此外,还使用了四个指标来考察所有模式中印度洋-太平洋地区变暖趋势的表现。CMIP6模式比CMIP5模式表现更好,均方根误差和MME偏差更小,MME和顶级模式的技能得分更高,这与CMIP6模式在模拟相关物理过程方面表现更好密切相关。IPWP 的变暖偏差主要归因于大气过程正偏差和海洋动力学负偏差的综合影响。正大气过程偏差主要与大气强迫产生的短波辐射和潜热通量有关,后者可归因于地表风场的偏差。与 CMIP5 模式相比,CMIP6 模式模拟的 IPWP 增暖较弱,这与 CMIP6 模拟的大气过程不强和热层异常较浅有关。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 去求助
来源期刊
Geoscience Letters
Geoscience Letters Earth and Planetary Sciences-General Earth and Planetary Sciences
CiteScore
4.90
自引率
2.50%
发文量
42
审稿时长
25 weeks
期刊介绍: Geoscience Letters is the official journal of the Asia Oceania Geosciences Society, and a fully open access journal published under the SpringerOpen brand. The journal publishes original, innovative and timely research letter articles and concise reviews on studies of the Earth and its environment, the planetary and space sciences. Contributions reflect the eight scientific sections of the AOGS: Atmospheric Sciences, Biogeosciences, Hydrological Sciences, Interdisciplinary Geosciences, Ocean Sciences, Planetary Sciences, Solar and Terrestrial Sciences, and Solid Earth Sciences. Geoscience Letters focuses on cutting-edge fundamental and applied research in the broad field of the geosciences, including the applications of geoscience research to societal problems. This journal is Open Access, providing rapid electronic publication of high-quality, peer-reviewed scientific contributions.
期刊最新文献
What caused the record-low frequency of western North Pacific tropical cyclones in autumn 2023? Precursory seismic quiescence of major earthquakes along the Sagaing fault zone, central Myanmar: application of the pattern informatics technique Origin of the 30–60-day intraseasonal oscillation of streamflow in source region of Yellow River in China: a perspective of the atmospheric signals from mid-high latitude The simulation of the Indo-Pacific warm pool SST warming trend in CMIP5 and CMIP6 Sedimentary evolution pattern influenced by sequence stratigraphy: a case study of the Nanpu Sag, Bohai Bay Basin, China
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1