气候变化领域集成服务门户(CCPortal): Inferring Global Ocean Mass Increase From Tide Gauges Network With Climate Models

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DOI	10.1029/2023GL108056
	Inferring Global Ocean Mass Increase From Tide Gauges Network With Climate Models
	Mu, Dapeng; Huang, Ruhui; Xu, Tianhe; Yan, Haoming
发表日期	2024
ISSN	0094-8276
EISSN	1944-8007
起始页码	51
结束页码	6
卷号	51 期号:6
英文摘要	Ocean mass increase contributes to global sea level rise, and plays an important role in understanding climate change. Here, we develop a data assimilation approach that enables the inference of ocean mass increase from global tide gauge network. This approach incorporates outputs from climate models and sea level fingerprints caused by water mass changes over land areas. The results suggest a trend of 2.15 +/- 0.72 mm/yr for ocean mass increase over the period 1993-2022, which closes the global sea level budget with estimates of thermosteric sea level rise. Furthermore, the inferred ocean mass increase offers an insight into the causes of sea level rise since 1950. These findings emphasize the significance of climate models, in addition to simulating sea level changes, they contribute to understanding causes of sea level rise over the past decades. Tide gauges record long-term sea level changes, which encompass ocean thermal expansion and ocean mass increase due to water mass loss over global land areas. By carefully modeling these components, we can estimate the increase in global ocean mass using data from tide gauges. To this end, we construct a data assimilation approach that is driven by outputs from climate models. This approach reveals a 2.15 +/- 0.72 mm/yr ocean mass trend for the satellite altimetry era, which could explain the observed global sea level rise with estimates of ocean thermal expansion. Further analysis indicates that the inferred ocean mass increase, combined along with the outputs of climate models, closely agrees with an independently reconstructed global mean sea level rise. Our findings emphasize the crucial role of climate models in comprehending the factors contributing to sea level rise over the past decades. A data assimilation technique is driven by outputs from climate models to infer ocean mass increase from tide gauges The inferred ocean mass trend closes the global sea level budget over the satellite altimetry era Results offer insights into the causes of global sea level rise since 1950
英文关键词	sea level rise; ocean mass increase; data assimilation
语种	英语
WOS研究方向	Geology
WOS类目	Geosciences, Multidisciplinary
WOS记录号	WOS:001185550300001
来源期刊	GEOPHYSICAL RESEARCH LETTERS
文献类型	期刊论文
条目标识符	http://gcip.llas.ac.cn/handle/2XKMVOVA/303712
作者单位	Shandong University; Xiamen University; Chinese Academy of Sciences; Innovation Academy for Precision Measurement Science & Technology, CAS
推荐引用方式 GB/T 7714	Mu, Dapeng,Huang, Ruhui,Xu, Tianhe,et al. Inferring Global Ocean Mass Increase From Tide Gauges Network With Climate Models[J],2024,51(6).
APA	Mu, Dapeng,Huang, Ruhui,Xu, Tianhe,&Yan, Haoming.(2024).Inferring Global Ocean Mass Increase From Tide Gauges Network With Climate Models.GEOPHYSICAL RESEARCH LETTERS,51(6).
MLA	Mu, Dapeng,et al."Inferring Global Ocean Mass Increase From Tide Gauges Network With Climate Models".GEOPHYSICAL RESEARCH LETTERS 51.6(2024).