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DOI10.1088/1748-9326/ab986e
Detecting a forced signal in satellite-era sea-level change
Richter K.; Meyssignac B.; Slangen A.B.A.; Melet A.; Church J.A.; Fettweis X.; Marzeion B.; Agosta C.; Ligtenberg S.R.M.; Spada G.; Palmer M.D.; Roberts C.D.; Champollion N.
发表日期2020
ISSN17489318
卷号15期号:9
英文摘要In this study, we compare the spatial patterns of simulated geocentric sea-level change to observations from satellite altimetry over the period 1993-2015 to assess whether a forced signal is detectable. This is challenging, as on these time scales internal variability plays an important role and may dominate the observed spatial patterns of regional sea-level change. Model simulations of regional sea-level change associated with sterodynamic sea level, atmospheric loading, glacier mass change, and ice-sheet surface mass balance changes are combined with observations of groundwater depletion, reservoir storage, and dynamic ice-sheet mass changes. The resulting total geocentric regional sea-level change is then compared to independent measurements from satellite altimeter observations. The detectability of the climate-forced signal is assessed by comparing the model ensemble mean of the 'historical' simulations with the characteristics of sea-level variability in pre-industrial control simulations. To further minimize the impact of internal variability, zonal averages were produced. We find that, in all ocean basins, zonally averaged simulated sea-level changes are consistent with observations within sampling uncertainties associated with simulated internal variability of the sterodynamic component. Furthermore, the simulated zonally averaged sea-level change cannot be explained by internal variability alone-thus we conclude that the observations include a forced contribution that is detectable at basin scales. © 2020 The Author(s). Published by IOP Publishing Ltd.
英文关键词Detection; Forced trends; Internal variability; Sea-level rise
语种英语
scopus关键词Aneroid altimeters; Climate models; Glacial geology; Glaciers; Groundwater; Satellites; Signal detection; Atmospheric loading; Groundwater depletion; Independent measurement; Internal variability; Regional sea level changes; Sampling uncertainties; Satellite altimeter; Sea level variability; Sea level; detection method; numerical model; satellite data; sea level change; simulation
来源期刊Environmental Research Letters
文献类型期刊论文
条目标识符http://gcip.llas.ac.cn/handle/2XKMVOVA/153711
作者单位Institute for Atmospheric and Cryospheric Sciences, Universität Innsbruck, Austria; Norce Norwegian Research Centre, Bjerknes Centre for Climate Research, Bergen, Norway; Legos, Université de Toulouse, CNES, CNRS, IRD, UPS, Toulouse, France; Department of Estuarine and Delta Systems, Royal Netherlands Institute for Sea Research, Yerseke, Netherlands; Mercator Ocean, Ramonville St Agne, France; Climate Change Research Centre, University of New South Wales, Sydney, NSW 2052, Australia; Department of Geography, University of Liège, Liège, Belgium; Institute of Geography, University of Bremen, Bremen, Germany; Institute for Marine and Atmospheric Research Utrecht, Utrecht University, Utrecht, Netherlands; University of Urbino, Urbino, Italy; Met Office Hadley Centre, Exeter, United Kingdom; European Centre for Medium Range Weather Forecasts, Reading, United Kingdom; Institut des Geósciences de l'Environnement, Cnrs, IRD, Univ. Grenoble Alpes, Grenoble, France; Bern International Space Science Institute, Halle...
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Richter K.,Meyssignac B.,Slangen A.B.A.,et al. Detecting a forced signal in satellite-era sea-level change[J],2020,15(9).
APA Richter K..,Meyssignac B..,Slangen A.B.A..,Melet A..,Church J.A..,...&Champollion N..(2020).Detecting a forced signal in satellite-era sea-level change.Environmental Research Letters,15(9).
MLA Richter K.,et al."Detecting a forced signal in satellite-era sea-level change".Environmental Research Letters 15.9(2020).
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