2014
DOI: 10.1038/nclimate2159
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The rate of sea-level rise

Abstract: ISI Document Delivery No.: AG4PV Times Cited: 1 Cited Reference Count: 30 Cited References: Alkama R, 2010, J HYDROMETEOROL, V11, P583, DOI 10.1175/2010JHM1211.1 Balmaseda M. A., 2013, GEOPHYS RES LETT, V40, P1 Boening C, 2012, GEOPHYS RES LETT, V39, DOI 10.1029/2012GL053055 Cazenave A, 2012, MAR GEOD, V35, P82, DOI 10.1080/01490419.2012.718209 Chen JL, 2013, NAT GEOSCI, V6, P549, DOI 10.1038/NGEO1829 Church JA, 2011, GEOPHYS RES LETT, V38, DOI 10.1029/2011GL048794 Church JA, 2011, SURV GEOPHYS, V32, P585, DOI… Show more

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Cited by 331 publications
(202 citation statements)
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“…Significant inter-annual variations are observed within the GMSL time series (Fig. 1) -mainly attributed to ENSO -and these contribute to the GMSL trend uncertainty in addition to all sources of errors described earlier (Cazenave et al, 2014). An uncertainty envelope for the GMSL has been proposed in order to better characterize inter-annual evolutions.…”
Section: Spatial Scales Temporal Scales Altimetry Uncertainties Usermentioning
confidence: 80%
“…Significant inter-annual variations are observed within the GMSL time series (Fig. 1) -mainly attributed to ENSO -and these contribute to the GMSL trend uncertainty in addition to all sources of errors described earlier (Cazenave et al, 2014). An uncertainty envelope for the GMSL has been proposed in order to better characterize inter-annual evolutions.…”
Section: Spatial Scales Temporal Scales Altimetry Uncertainties Usermentioning
confidence: 80%
“…They found small but significant trends in the sea level biases, mostly in the first 6 years (the TOPEX satellite) of the record. After correction for these biases, they estimated a corrected GMSL trend over 1993 to mid-2014 of 2.6 to 2.9±0.4 mm year −1 (dependent on the vertical land motion correction adopted), and found an acceleration of 0.041±0.058 mm year −2 , in contrast to the deceleration reported by Cazenave et al [34]. (The acceleration is not significantly different from zero, but it is significantly different from the deceleration over the same period of −0.057±0.058 mm year −2 if these bias drifts were not corrected.)…”
Section: The Satellite Altimeter Periodmentioning
confidence: 97%
“…Cazenave et al [34] found a deceleration from the first to the second decade of the altimeter record, but demonstrated that there was no significant reduction of the underlying rate of sea level rise over this two-decade period if the effects of interannual climate variation on the storage of water on land (particularly in Australia; Fasullo et al [35]) and thermal expansion are excluded. Confirming the importance of interannual variability, Yi et al [36] have shown that since the La Niña event of 2010, the rate of sea level rise has been substantially larger than the 1993-2015 average as a result of a decrease of water stored on land, increased ocean thermal expansion, and faster loss of mass from the ice sheets (particularly Greenland).…”
Section: The Satellite Altimeter Periodmentioning
confidence: 99%
“…In particular, it has long been reported that nonseasonal GMSL anomalies are significantly correlated with El Niño-Southern Oscillation (ENSO), such that the GMSL is anomalously positive during warm El Niño phases and anomalously negative during cool La Niña phases (Nerem et al, 1999(Nerem et al, , 2010Chambers et al, 2002;Ngo-Duc et al, 2005;Landerer et al, 2008;Merrifield et al, 2009;Llovel et al, 2010Llovel et al, , 2011Boening et al, 2012;Cazenave et al, 2012Cazenave et al, , 2014Meyssignac and Cazenave, 2012;Stammer et al, 2013;Fasullo et al, 2013;Haddad et al, 2013;Meyssignac et al, 2013;Calafat et al, 2014;Dieng et al, 2014Dieng et al, , 2015Pugh and Woodworth, 2014). Recent papers argue that ENSO-related GMSL changes are essentially of barystatic origin, related to changes in the hydrological cycle, and patterns of precipitation and evaporation (Llovel et al, 2011;Boening et al, 2012;Cazenave et al, 2012Cazenave et al, , 2014Fasullo et al, 2013). However, these papers are based on either observations during an isolated event or correlation analysis of model output, and the extent to which barystatic or steric effects are responsible for ENSO-related GMSL fluctuations more generally has not been firmly established based on observations.…”
Section: Introductionmentioning
confidence: 99%