Quantification of Ocean Mass Change Using Gravity Recovery and Climate Experiment, Satellite Altimeter, and Argo Floats Observations

被引:44
作者
Chen, Jianli [1 ]
Tapley, Byron [1 ]
Save, Himanshu [1 ]
Tamisiea, Mark E. [1 ]
Bettadpur, Srinivas [1 ]
Ries, John [1 ]
机构
[1] Univ Texas Austin, Ctr Space Res, Austin, TX 78712 USA
关键词
ocean mass; gravity; GRACE; Altimeter; Argo; SEA-LEVEL RISE; GRACE; BUDGET; RECORD; ERA;
D O I
10.1029/2018JB016095
中图分类号
P3 [地球物理学]; P59 [地球化学];
学科分类号
0708 ; 070902 ;
摘要
We analyze global mean ocean mass (GMOM) change over the 12-year period (January 2005 to December 2016) using three different Gravity Recovery and Climate Experiment (GRACE) RL05 monthly time-variable gravity solutions and compare GRACE results with independent observations from satellite altimeter and Argo floats (i.e., Altimeter-Argo). The new results from both GRACE and Altimeter-Argo show substantially larger GMOM rates than previous estimates, attributed to increased ice losses over land in recent years. Altimeter measurements show an average sea level rise rate of 3.870.16mm/year over the 12-year period, with 1.120.08mm/year driven by steric effect based on Argo observations. GRACE-observed ocean mass change agrees well with Altimeter-Argo estimates at seasonal time scales, but notable discrepancies exist at long-term time scales. GRACE-estimated GMOM rates, ranging from 2.170.12 to 2.390.12mm/year, are notably smaller than the Altimeter-Argo estimate of 2.75 +/- 0.18mm/year. However, when GRACE degree-2 zonal terms are retained (instead of being replaced by satellite laser ranging measurements), the forward modeled GRACE GMOM rate is 2.70 +/- 0.16mm/year, consistent with the Altimeter-Argo estimate. Accurate quantification of GMOM change using GRACE is challenging and relies on accurate correction for contributions from geocenter motion and Earth oblateness change using independent observations and the Glacial Isostatic Adjustment effect using model predictions. Our analysis indicates that long-term geocenter motion alone may contribute 0.3mm/year to GRACE GMOM rates, and different data processing methods have notable effect on GRACE GMOM estimates.
引用
收藏
页码:10212 / 10225
页数:14
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