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Title: Present-day mountain/Peripheral glacier mass balance estimates
Authors: Shum, CK
Su, XL
Shang, K
Guo, JY
Yi, YC
Pena De La, S
Howat, I
Braun, A
Cogley, G
Ding, XL 
Kuo, CY
Lee, HK
Bao, LF
Zhang, GQ
Issue Date: 2016
Source: ESA Living Planet Symposium 2016, Prague, Czech Republic, 9-13 May 2016, paper 2244 How to cite?
Abstract: The 2013 Intergovernmental Panel for Climate Assessment (IPCC) Fifth Assessment Report (AR5) concluded that the observed and explained geophysical causes of global geocentric sea-level rise, 1993–2010, is much closer towards closure at 3.2 [2.8→3.6] mm [superscript-1] versus 2.8 [2.3→3.4] mm yr[superscript-1]. However, the discrepancy reveals that circa 1.3→37.5% of the observed sea-level rise remains unexplained, despite contemporary reports on reconciled mass balance estimates ofice-sheet and mountain/peripheral glaciers during the early 21st century. This discrepancy is primarily attributable to the relatively wide range of estimates of respective contributions of Greenland and Antarctic ice-sheets and mountain/peripheral glaciers to sea-level rise, at 0.60 [0.41→0.79] mm [superscript-1] and at 0.76 [0.39→1.13] mm [superscript-1], respectively. In particular and for example, the Himalayan glacier system, as part of the Asian High Mountain glacier systems remains a focus of public and scientific debate, as the uncertainty of its mass balance estimates and its future projection have a significant implication of water resource problems potentially affecting 5 billion people, or ~43% of the world’s population in the region. It is also not clear, for example in the case of the Asian High Mountain glacier system, glacier ablation instantaneously contribute to sea-level rise, as melt water is largely dammed up in an anthropogenic activity in the region. In this contribution, we provide an updated estimate of mountain glacier mass balance and its contribution to sea-level rise, 2002–2015, primarily using observations including GRACE gravimetry, satellite altimetry, in situ mass balance data and other data sets.
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