Article (Scientific journals)
Spatiotemporal variations of extreme events in surface mass balance over Greenland during 1958–2019
Wei, Ting; Noël, Brice; Ding, Minghu et al.
2022In International Journal of Climatology, 42 (15), p. 8008 - 8023
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Keywords :
ablation; accumulation; extreme indices; RACMO2.3p2 model; spatial distribution; temporal trend; Accumulation; Arctic warming; Breakings; Extreme events; Extreme index; Green land; Racmo2.3p2 model; Spatio-temporal variation; Surface mass balance; Temporal trends; Atmospheric Science
Abstract :
[en] Greenland surface mass balance (SMB) is undergoing dramatic change due to the amplified Arctic warming, with more frequent record-breaking melt events. To comprehensively understand the behaviour of the Greenland ice sheet, we develop a suite of indices to examine the spatiotemporal variations of extreme events in SMB over Greenland during 1958–2019 based on the RACMO2.3p2 model outputs. We illustrate that the climatological distributions of extreme ablation-dominated events (i.e., extremes with SMB < 0) share large similarity with the mean SMB in terms of intensity and frequency, showing a coastal-to-inland decreasing pattern. This pattern holds for the intensity of the extreme accumulation-dominated events (i.e., extremes with SMB > 0), but not for the frequency which increases from the coastal to inland Greenland. Regarding the temporal evolution, the intensity and frequency of extreme ablation-dominated events show a decreasing trend over Greenland during 1958–1978, whereas the trend increases afterwards, especially during the last two decades (2001–2019). However, these trends fluctuate regionally across the GrIS both in terms of magnitude and sign, with the most pronounced variations occurring in southwest Greenland. In contrast, extreme accumulation-dominated events show, on average, a long-term increasing trend from 1958 to 2019 in terms of intensity and frequency. However, obvious spatial fluctuations exist across the GrIS during 1958–2019, especially between the southwest and northeast Greenland where an opposite trend is observed. Additionally, the variations of SMB extremes in boreal summer are linked with the changes in regional temperature and precipitation and the associated atmospheric circulations, and the dominating factor varies with different extreme indices and time intervals. Our results may advance our understanding on SMB variability over Greenland and contribute to the design of future Greenland observational networks.
Disciplines :
Space science, astronomy & astrophysics
Author, co-author :
Wei, Ting ;  State Key Laboratory of Severe Weather, Chinese Academy of Meteorological Sciences, Beijing, China
Noël, Brice  ;  Université de Liège - ULiège > Département de géographie > Climatologie et Topoclimatologie ; Institute for Marine and Atmospheric Research (IMAU), Utrecht University, Utrecht, Netherlands
Ding, Minghu;  State Key Laboratory of Severe Weather, Chinese Academy of Meteorological Sciences, Beijing, China
Yan, Qing;  Nansen-Zhu International Research Centre, Institute of Atmospheric Physics, Chinese Academy of Sciences, Beijing, China ; Key Laboratory of Meteorological Disaster/Collaborative Innovation Center on Forecast and Evaluation of Meteorological Disasters, Nanjing University of Information Science and Technology, Nanjing, China
Language :
English
Title :
Spatiotemporal variations of extreme events in surface mass balance over Greenland during 1958–2019
Publication date :
15 December 2022
Journal title :
International Journal of Climatology
ISSN :
0899-8418
eISSN :
1097-0088
Publisher :
John Wiley and Sons Ltd
Volume :
42
Issue :
15
Pages :
8008 - 8023
Peer reviewed :
Peer Reviewed verified by ORBi
Funders :
NSCF - National Natural Science Foundation of China [CN]
Funding text :
National Natural Science Foundation of China, Grant/Award Number: 41975120; NWO VENI, Grant/Award Number: VI.Veni.192.019; Strategic Priority Research Program of the Chinese Academy of Sciences, Grant/Award Number: XDA2010030807 Funding informationThis study was funded by the National Natural Science Foundation of China (41975120) and the Strategic Priority Research Program of the Chinese Academy of Sciences (XDA2010030807). Brice Noël was funded by the NWO VENI grant VI.Veni.192.019.
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