2017
DOI: 10.1038/nclimate3325
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The increasing rate of global mean sea-level rise during 1993–2014

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Cited by 346 publications
(211 citation statements)
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“…Satellite observations from altimetry and GRACE show the accelerated GrIS melting since 1990s led to an accelerated rise in global mean sea level (GMSL) from 2.4 ± 0.2 mm/year in 1993 to 2.9 ± 0.3 mm/year in 2014 (Chen et al, ), and the contribution from Greenland is 0.76 ± 0.1 mm/year for the period 2005 to present (Cazenave, ).…”
Section: Resultsmentioning
confidence: 99%
“…Satellite observations from altimetry and GRACE show the accelerated GrIS melting since 1990s led to an accelerated rise in global mean sea level (GMSL) from 2.4 ± 0.2 mm/year in 1993 to 2.9 ± 0.3 mm/year in 2014 (Chen et al, ), and the contribution from Greenland is 0.76 ± 0.1 mm/year for the period 2005 to present (Cazenave, ).…”
Section: Resultsmentioning
confidence: 99%
“…EMD has been used for specific applications, such as biomedical engineering, speech processing, and geophysical studies (e.g., Carmona & Poveda, 2014;Chen et al, 2013Chen et al, , 2017Wang et al, 2015;Xu et al, 2014), and it also provides a means for efficient signal denoising. Indeed, when applied to a signal containing pure fractional Gaussian noise, EMD acts as a dyadic filter bank.…”
Section: Methods: Emd Of Along-track Altimeter Datamentioning
confidence: 99%
“…The daily FC transport across the Florida Strait (Baringer & Larsen, 2001;Meinen et al, 2010) was obtained from NOAA's Atlantic Oceanographic and Meteorological Laboratory web (www.aoml.noaa.gov/phod/floridacurrent/). EMD is a nonparametric, nonlinear signal processing tool that has been used in recent years for numerous studies of sea level variability (Chen et al, 2017;Ezer, 2013Ezer, , 2015Ezer et al, 2013;Ezer & Corlett, 2012;Kenigson & Han, 2014;Park & Sweet, 2015;Wdowinski et al, 2016). The altimeter data provided daily sea surface height (SSH) data on 1/4°grid for 1993-2017 (25 years) over the domain in Figure 1, as well as geostrophic velocity in two regions (white boxes in Figure 1) To separate variations in the data into different time scales, the Empirical Mode Decomposition (EMD, Huang et al, 1998) analysis method was used.…”
Section: /2019ef001174mentioning
confidence: 99%