中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
A review of global products of air-sea turbulent heat flux: accuracy, mean, variability, and trend

文献类型:期刊论文

作者Tang, Ronglin2,3; Wang, Yizhe2,3; Jiang, Yazhen2,3; Liu, Meng1; Peng, Zhong2,3; Hu, Yongxin2; Huang, Lingxiao2,3; Li, Zhao-Liang1,2,3
刊名EARTH-SCIENCE REVIEWS
出版日期2024-02-01
卷号249页码:31
ISSN号0012-8252
关键词Latent heat flux Sensible heat flux Air-sea turbulent heat flux Variability Trend
DOI10.1016/j.earscirev.2023.104662
通讯作者Wang, Yizhe(wangyizhe0410@igsnrr.ac.cn)
英文摘要Air-sea turbulent heat flux is vital to the exchange of global water and energy between the atmosphere and the Earth's surface and is essential for understanding Earth-climate mutual feedback. In this paper, we compre-hensively review the accuracy and spatiotemporal patterns of 15 global products of air-sea turbulent heat flux from 1988 to 2020. Compared to observations at 139 buoys, all the products overestimate monthly latent heat flux (LHF) and most products overestimate sensible heat flux (SHF), with higher correlation coefficients found for LHF than for SHF. Compared to the reanalysis-based and in situ-based products, the remote sensing-based, machine learning-based, and hybrid-based monthly LHF products are generally more consistent with the buoy observations. The annual mean LHF and SHF values vary greatly between 75 and 115 W/m2 and between 0 and 25 W/m2, respectively. Different products have similar spatial patterns of annual means and interannual vari-abilities of LHF and SHF in most ocean areas but they have very different magnitudes. Most products show consistent annual trends in LHF and consistent but overall weaker annual trends in SHF, except for in the areas around and beyond 45 degrees S, where larger discrepancies in annual SHF trends are observed. Analogous unimodal shapes of monthly SHF frequency curves from the 15 products are shown in all oceans, but for the monthly LHF frequency curves, both unimodal and bimodal shapes are shown. Seasonal LHF and SHF values are higher (lower) in December-January-February than in June-July-August in the Northern (Southern) Hemisphere. The inter -seasonal variations in LHF and SHF are more pronounced in the Northern Hemisphere than in the Southern Hemisphere. This review could benefit the algorithm development and improvement of air-sea turbulent heat flux products, provide insightful scientific guidance for selecting flux products for different applications, and characterize the advances in the global datasets of air-sea turbulent heat flux.
WOS关键词BULK AERODYNAMIC ALGORITHMS ; SURFACE TEMPERATURE ; KUROSHIO EXTENSION ; TROPICAL PACIFIC ; WIND-SPEED ; SATELLITE RETRIEVALS ; WATER-BUDGET ; OCEAN ; LATENT ; REANALYSIS
资助项目National Natural Science Foundation of China[41921001] ; National Natural Science Foundation of China[KPI007] ; Key Project of Innovation LREIS ; [41922009] ; [42071332] ; [42271378]
WOS研究方向Geology
语种英语
出版者ELSEVIER
WOS记录号WOS:001165742200001
资助机构National Natural Science Foundation of China ; Key Project of Innovation LREIS
源URL[http://ir.igsnrr.ac.cn/handle/311030/203018]  
专题中国科学院地理科学与资源研究所
通讯作者Wang, Yizhe
作者单位1.Chinese Acad Agr Sci, Inst Agr Resources & Reg Planning, State Key Lab Efficient Utilizat Arid & Semiarid A, Beijing 100081, Peoples R China
2.Univ Chinese Acad Sci, Beijing 100049, Peoples R China
3.Chinese Acad Sci, State Key Lab Resources & Environm Informat Syst, Inst Geog Sci & Nat Resources Res, Beijing 100101, Peoples R China
推荐引用方式
GB/T 7714
Tang, Ronglin,Wang, Yizhe,Jiang, Yazhen,et al. A review of global products of air-sea turbulent heat flux: accuracy, mean, variability, and trend[J]. EARTH-SCIENCE REVIEWS,2024,249:31.
APA Tang, Ronglin.,Wang, Yizhe.,Jiang, Yazhen.,Liu, Meng.,Peng, Zhong.,...&Li, Zhao-Liang.(2024).A review of global products of air-sea turbulent heat flux: accuracy, mean, variability, and trend.EARTH-SCIENCE REVIEWS,249,31.
MLA Tang, Ronglin,et al."A review of global products of air-sea turbulent heat flux: accuracy, mean, variability, and trend".EARTH-SCIENCE REVIEWS 249(2024):31.

入库方式: OAI收割

来源:地理科学与资源研究所

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