ORCID Profile
0000-0002-4237-4559
Current Organisation
Shandong University
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Publisher: Oxford University Press (OUP)
Date: 04-01-2017
DOI: 10.1093/GJI/GGW494
Publisher: Springer Science and Business Media LLC
Date: 08-2020
DOI: 10.1007/S00190-020-01408-1
Abstract: The Gravity Recovery and Climate Experiment (GRACE) satellite mission has profoundly advanced our knowledge of contemporary sea level change. Owing to the coarse spatial resolution and leakage issue across the land–ocean boundary, it is challenging (even impossible) for GRACE to detect mass changes over a region smaller than its spatial resolution, especially a semi-enclosed basin (e.g., the Bohai Sea) that is adjacent to land with significant mass variation. In this contribution, the causes for the GRACE RL06 mass changes in the Bohai Sea are investigated using a reconstruction technique that is implemented with multisource data, including altimeter observations, steric estimates, and land mass changes from GRACE RL06 mascon solution. Our results by the reconstruction technique demonstrate that the GRACE annual cycles are primarily caused by water mass changes rather than sediment changes. On the other hand, the mass trends from both reconstructed signals and those observed by the GRACE RL06 spherical harmonic coefficients (SHCs) are small, ranging from − 0.38 mm/year to 0.51 mm/year (depending on different data sources). Given that our estimated accuracies are 0.8 mm/year (the real accuracies should be larger), our reconstructed results cannot directly confirm the presence of sediment accumulation or water mass increase however, analysis of only the altimetry data suggests the mass trends are due to water mass increase, which would amount to ~ 0.44 Gt/year. Further investigation suggests that the mass trends in the Bohai Sea suffer from a − 2.9 mm/year leakage-in effect from groundwater depletion in the North China and about 2.5 mm/year signal attenuation (resulting in a ~ 2.5 mm/year remaining trend that is roughly equivalent to the leakage-in trend, consequently leading to the small mass trend in the Bohai Sea). Our reconstruction results exemplify that elaborate data processing is necessary for specific cases. We also test whether the recently released RL06 mascon solutions that are resolved with constraints and require no further processing would improve the agreement with altimeter observations. We find that the seasonal cycles are improved relative to the RL06 SHCs however, the rates derived from the mascon solutions cannot properly represent the altimeter-derived ocean mass estimates for the Bohai Sea, probably because the mascon solutions underestimate the rates or contain some processing artifacts. Nevertheless, the mascon solutions show enhanced signals, which offer new opportunities to investigate regional sea level change.
Publisher: IOP Publishing
Date: 04-2023
Abstract: Understanding the coastal sea level budget (SLB) is essential to revealing the causes of sea level rise and predicting future sea level change. Here we present the coastal SLB based on multiple sets of sea level observations, including satellite altimetry, satellite gravimetry, and Argo floats over 2005 to 2021. The coastal zone is defined within 500 km from the coast and covered by all Argo products. We find that sea level observations enable a closure for the coastal SLB for 2005-2015. However, since 2016, the coastal SLB shows a substantially larger discrepancy, consistent with the global mean SLB. The coastal SLB is unclosed for 2005-2021, with a mean sea level rise of 4.06 ± 0.27 mm yr −1 , a 0.74 ± 0.21 mm yr −1 rate for ocean mass, and a 2.27 ± 0.53 mm yr −1 for the steric component. Systematic Argo buoy salinity drift after 2016 is the main cause for the non-closure of coastal SLB over 2005-2021. Ignoring the suddenly unrealistic coastal salinity trends, the global coastal SLB from 2005 to 2021 is closed with a residual trend of 0.46 ± 0.63 mm yr −1 . Our results confirm that the coastal 500 km range does not need to be deliberately masked and ignored in global SLB research.
Publisher: Oxford University Press (OUP)
Date: 15-12-2021
DOI: 10.1093/GJI/GGAB506
Abstract: Most studies of sea level budget only indicate the stationary causes for the global mean sea level (GMSL) rise over the course of a time span of interest, providing limited information on temporary changes in the GMSL budget. In this contribution, we present an instantaneous budget of the GMSL for the period of 2003–2015, which offers new insights on the time evolution of the GMSL budget. We use a space-state model to compute the instantaneous rates of GMSL and their contributing sources (barystatic and steric contributions), to investigate the causes of the GMSL instantaneous budget, which accounts for and quantifies low-frequency variations in GMSL rise. Combining the barystatic GMSL instantaneous rates (estimated from satellite gravimetry) along with a particular choice of steric GMSL instantaneous rates (inferred from an Argo product) achieves closure of the GMSL instantaneous budget with a standard deviation of 0.4 mm yr−1. We find that the barystatic GMSL rate is primarily responsible for the striking fluctuations in the GMSL instantaneous rates between 2009 and 2015. For ex le, over only 20 months (July 2010 to February 2012), the GMSL (barystatic) rate increases from 0.32 (0.71) to 6.12 (4.55) mm yr−1. These strong fluctuations mainly result from hydrology and mountain glacier mass variations rather than mass loss in ice sheet, for instance, Australia slowed ∼1.2 mm yr−1 equivalent contribution to GMSL rise over the year 2010, which is approximately four times the linear rate of Antarctica mass loss.
Publisher: Oxford University Press (OUP)
Date: 26-03-2018
DOI: 10.1093/GJI/GGY126
Publisher: Oxford University Press (OUP)
Date: 14-03-2019
DOI: 10.1093/GJI/GGZ138
Publisher: Springer Science and Business Media LLC
Date: 04-2016
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 06-2018
Publisher: Informa UK Limited
Date: 17-01-2020
Publisher: Springer Science and Business Media LLC
Date: 12-05-2014
Location: China
Start Date: 2020
End Date: 2022
Funder: National Natural Science Foundation of China
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