Evan Miles

Evan Miles

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Research Focus & Metrics

Academic Career Length

15Years (2012-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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1 January 2014 in Journal of Glaciology
Verified
Journal Article
Open access
WPW. Tad Pfeffer
W. Tad Pfeffer
AAAnthony A. Arendt
Anthony A. Arendt
ABAndrew Bliss
Andrew Bliss
TBTobias Bolch
Tobias Bolch
JCJ. Graham Cogley
J. Graham Cogley
TCThe Randolph Consortium
The Randolph Consortium
The Randolph Glacier Inventory (RGI) is a globally complete collection of digital outlines of glaciers, excluding the ice sheets, developed to meet the needs of the Fifth Assessment of the Intergovernmental Panel on Climate Change for estimates of past and future mass balance. The RGI was created with limited resources in a short period. Priority was given to completeness of coverage, but a limited, uniform set of attributes is attached to each of the ~198 000 glaciers in its latest version, 3.2. Satellite imagery from 1999–2010 provided most of the outlines. Their total extent is estimated as 726 800 ± 34 000 km2. The uncertainty, about ±5%, is derived from careful single-glacier and basin-scale uncertainty estimates and comparisons with inventories that were not sources for the RGI. The main contributors to uncertainty are probably misinterpretation of seasonal snow cover and debris cover. These errors appear not to be normally distributed, and quantifying them reliably is an unsolved problem. Combined with digital elevation models, the RGI glacier outlines yield hypsometries that can be combined with atmospheric data or model outputs for analysis of the impacts of climatic change on glaciers. The RGI has already proved its value in the generation of significantly improved aggregate estimates of glacier mass changes and total volume, and thus actual and potential contributions to sea-level rise.

8 January 2016 in Science
Verified
Journal Article
Closed access
PDF file
JKJeffrey Kargel
Jeffrey Kargel
GLG. J. Leonard
G. J. Leonard
DSDan Shugar
Dan Shugar
UHUmesh Haritashya
Umesh Haritashya
ABA. Bevington
A. Bevington
NYN. Young
N. Young
Nepal's quake-driven landslide hazards: Large earthquakes can trigger dangerous landslides across a wide geographic region. The 2015 M w 7.8 Gorhka earthquake near Kathmandu, Nepal, was no exception. Kargal et al. used remote observations to compile a massive catalog of triggered debris flows. The satellite-based observations came from a rapid response team assisting the disaster relief effort. Schwanghart et al. show that Kathmandu escaped the historically catastrophic landslides associated with earthquakes in 1100, 1255, and 1344 C.E. near Nepal's second largest city, Pokhara. These two studies underscore the importance of determining slope stability in mountainous, earthquake-prone regions. Science , this issue p. 10.1126/science.aac8353 ; see also p. 147

2 April 2013 in Climate Dynamics
Verified
Journal Article
Closed access
PDF file
VRValentina Radić
Valentina Radić
ABAndrew Bliss
Andrew Bliss
ABA. Cody Beedlow
A. Cody Beedlow
RHRegine Hock
Regine Hock
EMEvan Miles
Evan Miles
JCJ. Graham Cogley
J. Graham Cogley

17 May 2021 in Nature Communications
Verified
Journal Article
Open access
PDF file
EMEvan Miles
Evan Miles
MMMichael McCarthy
Michael McCarthy
ADAmaury Dehecq
Amaury Dehecq
MKMarin Kneib
Marin Kneib
SFStefan Fugger
Stefan Fugger
FPFrancesca Pellicciotti
Francesca Pellicciotti
Glaciers in High Mountain Asia generate meltwater that supports the water needs of 250 million people, but current knowledge of annual accumulation and ablation is limited to sparse field measurements biased in location and glacier size. Here, we present altitudinally-resolved specific mass balances (surface, internal, and basal combined) for 5527 glaciers in High Mountain Asia for 2000–2016, derived by correcting observed glacier thinning patterns for mass redistribution due to ice flow. We find that 41% of glaciers accumulated mass over less than 20% of their area, and only 60% ± 10% of regional annual ablation was compensated by accumulation. Even without 21stcentury warming, 21% ± 1% of ice volume will be lost by 2100 due to current climatic-geometric imbalance, representing a reduction in glacier ablation into rivers of 28% ± 1%. The ablation of glaciers in the Himalayas and Tien Shan was mostly unsustainable and ice volume in these regions will reduce by at least 30% by 2100. The most important and vulnerable glacier-fed river basins (Amu Darya, Indus, Syr Darya, Tarim Interior) were supplied with >50% sustainable glacier ablation but will see long-term reductions in ice mass and glacier meltwater supply regardless of the Karakoram Anomaly.

19 February 2025 in Nature
Verified
Journal Article
Open access
PDF file
TTThe GlaMBIE Team
The GlaMBIE Team
MZMichael Zemp
Michael Zemp
LJLivia Jakob
Livia Jakob
IDInés Dussaillant
Inés Dussaillant
SNSamuel U. Nussbaumer
Samuel U. Nussbaumer
WZWhyjay Zheng
Whyjay Zheng
Glaciers are indicators of ongoing anthropogenic climate change1. Their melting leads to increased local geohazards2, and impacts marine3 and terrestrial4,5 ecosystems, regional freshwater resources6, and both global water and energy cycles7,8. Together with the Greenland and Antarctic ice sheets, glaciers are essential drivers of present9,10 and future11–13 sea-level rise. Previous assessments of global glacier mass changes have been hampered by spatial and temporal limitations and the heterogeneity of existing data series14–16. Here we show in an intercomparison exercise that glaciers worldwide lost 273 ± 16 gigatonnes in mass annually from 2000 to 2023, with an increase of 36 ± 10% from the first (2000–2011) to the second (2012–2023) half of the period. Since 2000, glaciers have lost between 2% and 39% of their ice regionally and about 5% globally. Glacier mass loss is about 18% larger than the loss from the Greenland Ice Sheet and more than twice that from the Antarctic Ice Sheet17. Our results arise from a scientific community effort to collect, homogenize, combine and analyse glacier mass changes from in situ and remote-sensing observations. Although our estimates are in agreement with findings from previous assessments14–16 at a global scale, we found some large regional deviations owing to systematic differences among observation methods. Our results provide a refined baseline for better understanding observational differences and for calibrating model ensembles12,16,18, which will help to narrow projection uncertainty for the twenty-first century11,12,18.

1 April 2015 in Advances in Water Resources
Verified
Journal Article
Closed access
SRSilvan Ragettli
Silvan Ragettli
FPF. Pellicciotti
F. Pellicciotti
Walter ImmerzeelWalter Immerzeel
Walter Immerzeel
EMEvan Miles
Evan Miles
LPL. Petersen
L. Petersen
ASA. Shrestha
A. Shrestha