Article (Scientific journals)
Geodetic and model data reveal different spatio-temporal patterns of transient mass changes over Greenland from 2007 to 2017
Zhang, Bao; Liu, Lin; Khan, Shfaqat Abbas et al.
2019In Earth and Planetary Science Letters, 515, p. 154 - 163
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Keywords :
GPS; GRACE; Greenland; ice discharge; SMB; transient mass change; Atmospheric circulation anomaly; Gravity recovery and climate experiments; Ice discharges; Mass change; Precipitation anomalies; Spatiotemporal variability; Geophysics; Geochemistry and Petrology; Earth and Planetary Sciences (miscellaneous); Space and Planetary Science
Abstract :
[en] Much of the research to understand the ice mass changes of Greenland ice sheet (GrIS) has focused on detecting linear rates and accelerations at decadal or longer periods. The transient (short-term, non-secular) mass changes show large variability, and if not properly accounted for, can introduce significant biases into estimates of long-term ice mass loss rates and accelerations. Despite the growing number of geodetic observations, in terms of spatial coverage, types of observables, and the extent of the time series, studies of the transient mass changes over GrIS are lacking. To address this limitation, we apply multi-channel singular spectral analysis to the Gravity Recovery and Climate Experiment (GRACE) mass concentrations (mascon), surface mass balance (SMB) model output, and ice discharge data, to determine the transient mass changes over Greenland over the decade (2007 to 2017). The goal of this analysis is to elucidate the spatio-temporal variability of the ice mass change. For the entire GrIS, both the mascon and SMB transient mass changes are characterized by a sustained mass gain from late 2007 to early 2010, a sustained mass loss from early 2010 to early 2013, and a mass gain from early 2013 to mid-2015. Global Positioning System sites deployed along the coast of Greenland showed uplift from early 2010 to early 2013 and subsidence from early 2013 to 2015, consistent with the corresponding ice mass loss and gain of the entire GrIS. The peak-to-peak amplitude of the transient mass change was estimated to be −294 ± 27 Gt from GRACE mascons and -252 ± 16 Gt from the SMB where the latter value includes the effect of ice discharge. The transient mass change due to ice discharge accounted for less than 10% of the total transient mass change. Our regional assessment reveals that the central-west, southwest, northeast, and southeast regions display similar time-varying patterns as we found for the entire GrIS, but the north and northwest regions show different patterns. Atmospheric circulation anomalies as measured by the Greenland Blocking Index (GBI) are able to explain most of these transient anomalies. More specifically, high-GBI-associated high temperature was one of the main reasons for the transient mass loss of the entire GrIS during 2010-2012 while low GBI can explain the transient mass gain during 2013-2015. Contrasting behaviors of precipitation anomalies in east and west Greenland under abnormally high or low GBI conditions may explain the different patterns of the transient mass change in the northwest and the rest of Greenland.
Disciplines :
Earth sciences & physical geography
Author, co-author :
Zhang, Bao ;  School of Geodesy and Geomatics, Wuhan University, Wuhan, China ; Earth System Science Programme, The Chinese University of Hong Kong, Shatin, Hong Kong
Liu, Lin;  Earth System Science Programme, The Chinese University of Hong Kong, Shatin, Hong Kong
Khan, Shfaqat Abbas ;  DTU Space-National Space Institute, Technical University of Denmark, Department of Geodesy, Kgs. Lyngby, Denmark
van Dam, Tonie ;  Faculty of Science, Technology, and Communication, University of Luxembourg, Luxembourg City, Luxembourg
Bjørk, Anders Anker ;  Centre for GeoGenetics, Natural History Museum of Denmark, University of Copenhagen, Copenhagen, Denmark
Peings, Yannick;  Department of Earth System Science, University of California, Irvine, Irvine, United States
Zhang, Enze;  Earth System Science Programme, The Chinese University of Hong Kong, Shatin, Hong Kong
Bevis, Michael;  School of Earth Science, The Ohio State University, United States
Yao, Yibin ;  School of Geodesy and Geomatics, Wuhan University, Wuhan, China
Noël, Brice  ;  Université de Liège - ULiège > Département de géographie > Climatologie et Topoclimatologie ; Institute for Marine and Atmospheric Research, Utrecht University, Utrecht, Netherlands
Language :
English
Title :
Geodetic and model data reveal different spatio-temporal patterns of transient mass changes over Greenland from 2007 to 2017
Publication date :
June 2019
Journal title :
Earth and Planetary Science Letters
ISSN :
0012-821X
eISSN :
1385-013X
Publisher :
Elsevier B.V.
Volume :
515
Pages :
154 - 163
Peer reviewed :
Peer Reviewed verified by ORBi
Funders :
NSCF - National Natural Science Foundation of China [CN]
Carlsbergfondet [DK]
NWO - Netherlands Organisation for Scientific Research [NL]
NESSC - Netherlands Earth System Science Centre [NL]
Funding text :
We thank Dr. Xavier Fettweis for providing the MAR surface mass balance data, Prof. Jonathan Bamber for providing the Greenland ice discharge data. We also thank Jet Propulsion Laboratory, Goddard Space Flight Center, and Center for Space Research, University of Texas Austin for providing the Level 2 GRACE data, and the UNAVCO Facility for providing the GPS data. This work was supported by Hong Kong Research Grants Council Grant (CUHK24300414) and by National Natural Science Foundation of China (41704004). S.A.K. was funded in part by Carlsbergfondet (CF14-0145) and the Danish Council for Independent Research (DFF-4181-00126). B.N. acknowledges support from the Polar Programme of the Netherlands Organization for Scientific Research (NWO/ALW) and the Netherlands Earth System Science Centre (NESSC).We thank Dr. Xavier Fettweis for providing the MAR surface mass balance data, Prof. Jonathan Bamber for providing the Greenland ice discharge data. We also thank Jet Propulsion Laboratory, Goddard Space Flight Center, and Center for Space Research, University of Texas Austin for providing the Level 2 GRACE data, and the UNAVCO Facility for providing the GPS data. This work was supported by Hong Kong Research Grants Council Grant ( CUHK24300414 ) and by National Natural Science Foundation of China ( 41704004 ). S.A.K. was funded in part by Carlsbergfondet ( CF14-0145 ) and the Danish Council for Independent Research ( DFF-4181-00126 ). B.N. acknowledges support from the Polar Programme of the Netherlands Organization for Scientific Research (NWO/ALW) and the Netherlands Earth System Science Centre (NESSC).
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