气候变化领域集成服务门户(CCPortal): Sensitivity of inverse glacial isostatic adjustment estimates over Antarctica

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DOI	10.5194/tc-14-349-2020
	Sensitivity of inverse glacial isostatic adjustment estimates over Antarctica
	Willen M.O.; Horwath M.; Schröder L.; Groh A.; Ligtenberg S.R.M.; Kuipers Munneke P.; Van Den Broeke M.R.
发表日期	2020
ISSN	19940416
EISSN	14
起始页码	349
结束页码	366
卷号	14 期号:1
英文摘要	Glacial isostatic adjustment (GIA) is a major source of uncertainty for ice and ocean mass balance estimates derived from satellite gravimetry. In Antarctica the gravimetric effect of cryospheric mass change and GIA are of the same order of magnitude. Inverse estimates from geodetic observations hold some promise for mass signal separation. Here, we investigate the combination of satellite gravimetry and altimetry and demonstrate that the choice of input data sets and processing methods will influence the resultant GIA inverse estimate. This includes the combination that spans the full GRACE record (April 2002-August 2016). Additionally, we show the variations that arise from combining the actual time series of the differing data sets. Using the inferred trends, we assess the spread of GIA solutions owing to (1) the choice of different degree-1 and C20 products, (2) viable candidate surface-elevation-change products derived from different altimetry missions corresponding to different time intervals, and (3) the uncertainties associated with firn process models. Decomposing the total-mass signal into the ice mass and the GIA components is strongly dependent on properly correcting for an apparent bias in regions of small signal. Here our ab initio solutions force the mean GIA and GRACE trend over the low precipitation zone of East Antarctica to be zero. Without applying this bias correction, the overall spread of total-mass change and GIA-related mass change using differing degree-1 and C20 products is 68 and 72 Gt a-1, respectively, for the same time period (March 2003-October 2009). The bias correction method collapses this spread to 6 and 5 Gt a-1, respectively. We characterize the firn process model uncertainty empirically by analysing differences between two alternative surface mass balance products. The differences propagate to a 10 Gt a-1 spread in debiased GIA-related mass change estimates. The choice of the altimetry product poses the largest uncertainty on debiased mass change estimates. The spread of debiased GIA-related mass change amounts to 15 Gt a-1 for the period from March 2003 to October 2009. We found a spread of 49 Gt a-1 comparing results for the periods April 2002-August 2016 and July 2010-August 2016. Our findings point out limitations associated with data quality, data processing, and correction for apparent biases. © Author(s) 2020.
学科领域	correction; cryosphere; estimation method; glacier mass balance; glacioisostasy; GRACE; inverse analysis; precipitation (climatology); sampling bias; satellite altimetry; satellite data; sensitivity analysis; Antarctica; East Antarctica
语种	英语
scopus关键词	correction; cryosphere; estimation method; glacier mass balance; glacioisostasy; GRACE; inverse analysis; precipitation (climatology); sampling bias; satellite altimetry; satellite data; sensitivity analysis; Antarctica; East Antarctica
来源期刊	The Cryosphere
文献类型	期刊论文
条目标识符	http://gcip.llas.ac.cn/handle/2XKMVOVA/118767
作者单位	Institut für Planetare Geodäsie, Technische Universität Dresden, Dresden, Germany; Institute for Marine and Atmospheric research Utrecht (IMAU), Utrecht University, Utrecht, Netherlands; Alfred Wegener Institute, Helmholtz Centre for Polar and Marine Research, Bremerhaven, Germany
推荐引用方式 GB/T 7714	Willen M.O.,Horwath M.,Schröder L.,et al. Sensitivity of inverse glacial isostatic adjustment estimates over Antarctica[J],2020,14(1).
APA	Willen M.O..,Horwath M..,Schröder L..,Groh A..,Ligtenberg S.R.M..,...&Van Den Broeke M.R..(2020).Sensitivity of inverse glacial isostatic adjustment estimates over Antarctica.The Cryosphere,14(1).
MLA	Willen M.O.,et al."Sensitivity of inverse glacial isostatic adjustment estimates over Antarctica".The Cryosphere 14.1(2020).