Origin of interannual variability in global mean sea level

被引:22
|
作者
Hamlington, Benjamin D. [1 ]
Piecuch, Christopher G. [2 ]
Reager, John T. [1 ]
Chandanpurkar, Hrishi [1 ]
Frederikse, Thomas [1 ]
Nerem, R. Steven [3 ]
Fasullo, John T. [4 ]
Cheon, Se-Hyeon [5 ]
机构
[1] CALTECH, Jet Prop Lab, 4800 Oak Grove Dr, Pasadena, CA 91109 USA
[2] Woods Hole Oceanog Inst, Dept Phys Oceanog, Woods Hole, MA 02543 USA
[3] Univ Colorado, Colorado Ctr Astrodynam Res, Smead Aerosp Engn Sci, Boulder, CO 80309 USA
[4] Natl Ctr Atmospher Res, Climate & Global Dynam Lab, Boulder, CO 80301 USA
[5] Old Dominion Univ, Ocean Earth & Atmospher Sci Dept, Norfolk, VA 23529 USA
基金
美国国家科学基金会;
关键词
sea level; climate variability; global mean sea level; satellite altimetry; LA-NINA; RISE; TRENDS;
D O I
10.1073/pnas.1922190117
中图分类号
O [数理科学和化学]; P [天文学、地球科学]; Q [生物科学]; N [自然科学总论];
学科分类号
07 ; 0710 ; 09 ;
摘要
The two dominant drivers of the global mean sea level (GMSL) variability at interannual timescales are steric changes due to changes in ocean heat content and barystatic changes due to the exchange of water mass between land and ocean. With Gravity Recovery and Climate Experiment (GRACE) satellites and Argo profiling floats, it has been possible to measure the relative steric and barystatic contributions to GMSL since 2004. While efforts to "close the GMSL budget" with satellite altimetry and other observing systems have been largely successful with regards to trends, the short time period covered by these records prohibits a full understanding of the drivers of interannual to decadal variability in GMSL. One particular area of focus is the link between variations in the El Nino-Southern Oscillation (ENSO) and GMSL. Recent literature disagrees on the relative importance of steric and barystatic contributions to interannual to decadal variability in GMSL. Here, we use a multivariate data analysis technique to estimate variability in barystatic and steric contributions to GMSL back to 1982. These independent estimates explain most of the observed interannual variability in satellite altimeter-measured GMSL. Both processes, which are highly correlated with ENSO variations, contribute about equally to observed interannual GMSL variability. A theoretical scaling analysis corroborates the observational results. The improved understanding of the origins of interannual variability in GMSL has important implications for our understanding of long-term trends in sea level, the hydrological cycle, and the planet's radiation imbalance.
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页码:13983 / 13990
页数:8
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