The evolution of global sea level fingerprints under multiplescenarios

Liu Yuxin; Deng Shanshan; Zhang Wenxi; Hu Ange

doi:10.12284/hyxb2024093

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Liu Yuxin，Deng Shanshan，Zhang Wenxi, et al. The evolution of global sea level fingerprints under multiplescenarios[J]. Haiyang Xuebao，2024, 46(10)：1–15 doi: 10.12284/hyxb2024093

Citation:

Liu Yuxin，Deng Shanshan，Zhang Wenxi, et al. The evolution of global sea level fingerprints under multiplescenarios[J]. Haiyang Xuebao，2024, 46(10)：1–15 doi: 10.12284/hyxb2024093

Citation:

Liu Yuxin，Deng Shanshan，Zhang Wenxi, et al. The evolution of global sea level fingerprints under multiplescenarios[J]. Haiyang Xuebao，2024, 46(10)：1–15 doi: 10.12284/hyxb2024093

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The evolution of global sea level fingerprints under multiplescenarios

doi: 10.12284/hyxb2024093

Liu Yuxin^{1, 2, 3
,},
Deng Shanshan^{1, 2, 3
,
,},
Zhang Wenxi^{1, 2, 3},
Hu Ange^{1, 2, 3}

1.
School of Marine Sciences, Guangxi University, Nanning 530004, China
2.
Coral Reef Research Center of China, Guangxi University, Nanning 530004, China
3.
Guangxi Laboratory on the Study of Coral Reefs in the South China Sea, Nanning 530004, China

Received Date: 2024-01-30
Rev Recd Date: 2024-07-30

Available Online: 2024-08-16

Abstract

Abstract

Under the backdrop of climate change, mass sea level change rates are varied across regions. Therein, underthe combined effect ofthe self-attraction and loading effect andpolar motion feedback, freshwater transported from land to searesulted in the spatiotemporal heterogeneous change of mass sea level, termed sea level fingerprints. The sea level fingerprints are important components of mass sea level. This study utilized three terrestrial water storage anomalies datasets to simulate sea level fingerprints under three scenarios, following a sea level equation that incorporated the self-attraction and loading effect along with polar motion feedback. The simulated scenarios were: (1) aligning with the actual glacial mass balance; (2) consistent with the recent climate change rates; and (3) considering climate natural variability alone. Based on simulation results, this study analyzed the evolution ofsea level fingerprints under multiple scenarios and assessed their contribution to observed mass sea level anomalies.The study revealed that glacier melting in regions such as Greenland, Alaska, the Caucasus and Middle East, the Southern Andes, and Antarctica dominated the trendterm of sea level fingerprints. The sea level fingerprints, which align with the actual glacier mass balance, better replicated the global distribution pattern of the observed mass sea level anomalies trend term,as shown by the spatial similarity coefficients of 0.31 with the GRACE/GRACE-FO results and 0.71 with the altimetry satellite results. Non-glacial regional terrestrial water storage anomalies better captured the amplitude term of the observed mass sea level anomalies, as shown by sea level fingerprints, which consider climate natural variability alone, having spatial similarity coefficients of 0.67 with the GRACE/GRACE-FO results and 0.84 with the altimetry satellite results. The sea level fingerprints were the primary contributing source to mass sea level anomalies in low-latitude regions.
- sea level fingerprints,
- sea level equation,
- multiple scenarios

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References(57)

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