---
_id: '9677'
abstract:
- lang: eng
text: Progress in the atomic-scale modeling of matter over the past decade has been
tremendous. This progress has been brought about by improvements in methods for
evaluating interatomic forces that work by either solving the electronic structure
problem explicitly, or by computing accurate approximations of the solution and
by the development of techniques that use the Born–Oppenheimer (BO) forces to
move the atoms on the BO potential energy surface. As a consequence of these developments
it is now possible to identify stable or metastable states, to sample configurations
consistent with the appropriate thermodynamic ensemble, and to estimate the kinetics
of reactions and phase transitions. All too often, however, progress is slowed
down by the bottleneck associated with implementing new optimization algorithms
and/or sampling techniques into the many existing electronic-structure and empirical-potential
codes. To address this problem, we are thus releasing a new version of the i-PI
software. This piece of software is an easily extensible framework for implementing
advanced atomistic simulation techniques using interatomic potentials and forces
calculated by an external driver code. While the original version of the code
(Ceriotti et al., 2014) was developed with a focus on path integral molecular
dynamics techniques, this second release of i-PI not only includes several new
advanced path integral methods, but also offers other classes of algorithms. In
other words, i-PI is moving towards becoming a universal force engine that is
both modular and tightly coupled to the driver codes that evaluate the potential
energy surface and its derivatives.
article_processing_charge: No
article_type: original
author:
- first_name: Venkat
full_name: Kapil, Venkat
last_name: Kapil
- first_name: Mariana
full_name: Rossi, Mariana
last_name: Rossi
- first_name: Ondrej
full_name: Marsalek, Ondrej
last_name: Marsalek
- first_name: Riccardo
full_name: Petraglia, Riccardo
last_name: Petraglia
- first_name: Yair
full_name: Litman, Yair
last_name: Litman
- first_name: Thomas
full_name: Spura, Thomas
last_name: Spura
- first_name: Bingqing
full_name: Cheng, Bingqing
id: cbe3cda4-d82c-11eb-8dc7-8ff94289fcc9
last_name: Cheng
orcid: 0000-0002-3584-9632
- first_name: Alice
full_name: Cuzzocrea, Alice
last_name: Cuzzocrea
- first_name: Robert H.
full_name: Meißner, Robert H.
last_name: Meißner
- first_name: David M.
full_name: Wilkins, David M.
last_name: Wilkins
- first_name: Benjamin A.
full_name: Helfrecht, Benjamin A.
last_name: Helfrecht
- first_name: Przemysław
full_name: Juda, Przemysław
last_name: Juda
- first_name: Sébastien P.
full_name: Bienvenue, Sébastien P.
last_name: Bienvenue
- first_name: Wei
full_name: Fang, Wei
last_name: Fang
- first_name: Jan
full_name: Kessler, Jan
last_name: Kessler
- first_name: Igor
full_name: Poltavsky, Igor
last_name: Poltavsky
- first_name: Steven
full_name: Vandenbrande, Steven
last_name: Vandenbrande
- first_name: Jelle
full_name: Wieme, Jelle
last_name: Wieme
- first_name: Clemence
full_name: Corminboeuf, Clemence
last_name: Corminboeuf
- first_name: Thomas D.
full_name: Kühne, Thomas D.
last_name: Kühne
- first_name: David E.
full_name: Manolopoulos, David E.
last_name: Manolopoulos
- first_name: Thomas E.
full_name: Markland, Thomas E.
last_name: Markland
- first_name: Jeremy O.
full_name: Richardson, Jeremy O.
last_name: Richardson
- first_name: Alexandre
full_name: Tkatchenko, Alexandre
last_name: Tkatchenko
- first_name: Gareth A.
full_name: Tribello, Gareth A.
last_name: Tribello
- first_name: Veronique
full_name: Van Speybroeck, Veronique
last_name: Van Speybroeck
- first_name: Michele
full_name: Ceriotti, Michele
last_name: Ceriotti
citation:
ama: 'Kapil V, Rossi M, Marsalek O, et al. i-PI 2.0: A universal force engine for
advanced molecular simulations. Computer Physics Communications. 2019;236:214-223.
doi:10.1016/j.cpc.2018.09.020'
apa: 'Kapil, V., Rossi, M., Marsalek, O., Petraglia, R., Litman, Y., Spura, T.,
… Ceriotti, M. (2019). i-PI 2.0: A universal force engine for advanced molecular
simulations. Computer Physics Communications. Elsevier. https://doi.org/10.1016/j.cpc.2018.09.020'
chicago: 'Kapil, Venkat, Mariana Rossi, Ondrej Marsalek, Riccardo Petraglia, Yair
Litman, Thomas Spura, Bingqing Cheng, et al. “I-PI 2.0: A Universal Force Engine
for Advanced Molecular Simulations.” Computer Physics Communications. Elsevier,
2019. https://doi.org/10.1016/j.cpc.2018.09.020.'
ieee: 'V. Kapil et al., “i-PI 2.0: A universal force engine for advanced
molecular simulations,” Computer Physics Communications, vol. 236. Elsevier,
pp. 214–223, 2019.'
ista: 'Kapil V, Rossi M, Marsalek O, Petraglia R, Litman Y, Spura T, Cheng B, Cuzzocrea
A, Meißner RH, Wilkins DM, Helfrecht BA, Juda P, Bienvenue SP, Fang W, Kessler
J, Poltavsky I, Vandenbrande S, Wieme J, Corminboeuf C, Kühne TD, Manolopoulos
DE, Markland TE, Richardson JO, Tkatchenko A, Tribello GA, Van Speybroeck V, Ceriotti
M. 2019. i-PI 2.0: A universal force engine for advanced molecular simulations.
Computer Physics Communications. 236, 214–223.'
mla: 'Kapil, Venkat, et al. “I-PI 2.0: A Universal Force Engine for Advanced Molecular
Simulations.” Computer Physics Communications, vol. 236, Elsevier, 2019,
pp. 214–23, doi:10.1016/j.cpc.2018.09.020.'
short: V. Kapil, M. Rossi, O. Marsalek, R. Petraglia, Y. Litman, T. Spura, B. Cheng,
A. Cuzzocrea, R.H. Meißner, D.M. Wilkins, B.A. Helfrecht, P. Juda, S.P. Bienvenue,
W. Fang, J. Kessler, I. Poltavsky, S. Vandenbrande, J. Wieme, C. Corminboeuf,
T.D. Kühne, D.E. Manolopoulos, T.E. Markland, J.O. Richardson, A. Tkatchenko,
G.A. Tribello, V. Van Speybroeck, M. Ceriotti, Computer Physics Communications
236 (2019) 214–223.
date_created: 2021-07-16T08:53:01Z
date_published: 2019-03-01T00:00:00Z
date_updated: 2021-08-09T12:37:16Z
day: '01'
doi: 10.1016/j.cpc.2018.09.020
extern: '1'
external_id:
arxiv:
- '1808.03824'
intvolume: ' 236'
language:
- iso: eng
main_file_link:
- open_access: '1'
url: https://arxiv.org/abs/1808.03824
month: '03'
oa: 1
oa_version: Preprint
page: 214-223
publication: Computer Physics Communications
publication_identifier:
issn:
- 0010-4655
publication_status: published
publisher: Elsevier
quality_controlled: '1'
scopus_import: '1'
status: public
title: 'i-PI 2.0: A universal force engine for advanced molecular simulations'
type: journal_article
user_id: 6785fbc1-c503-11eb-8a32-93094b40e1cf
volume: 236
year: '2019'
...
---
_id: '9680'
abstract:
- lang: eng
text: Atomistic modeling of phase transitions, chemical reactions, or other rare
events that involve overcoming high free energy barriers usually entails prohibitively
long simulation times. Introducing a bias potential as a function of an appropriately
chosen set of collective variables can significantly accelerate the exploration
of phase space, albeit at the price of distorting the distribution of microstates.
Efficient reweighting to recover the unbiased distribution can be nontrivial when
employing adaptive sampling techniques such as metadynamics, variationally enhanced
sampling, or parallel bias metadynamics, in which the system evolves in a quasi-equilibrium
manner under a time-dependent bias. We introduce an iterative unbiasing scheme
that makes efficient use of all the trajectory data and that does not require
the distribution to be evaluated on a grid. The method can thus be used even when
the bias has a high dimensionality. We benchmark this approach against some of
the existing schemes on model systems with different complexity and dimensionality.
article_processing_charge: No
article_type: original
author:
- first_name: F.
full_name: Giberti, F.
last_name: Giberti
- first_name: Bingqing
full_name: Cheng, Bingqing
id: cbe3cda4-d82c-11eb-8dc7-8ff94289fcc9
last_name: Cheng
orcid: 0000-0002-3584-9632
- first_name: G. A.
full_name: Tribello, G. A.
last_name: Tribello
- first_name: M.
full_name: Ceriotti, M.
last_name: Ceriotti
citation:
ama: Giberti F, Cheng B, Tribello GA, Ceriotti M. Iterative unbiasing of quasi-equilibrium
sampling. Journal of Chemical Theory and Computation. 2019;16(1):100-107.
doi:10.1021/acs.jctc.9b00907
apa: Giberti, F., Cheng, B., Tribello, G. A., & Ceriotti, M. (2019). Iterative
unbiasing of quasi-equilibrium sampling. Journal of Chemical Theory and Computation.
American Chemical Society. https://doi.org/10.1021/acs.jctc.9b00907
chicago: Giberti, F., Bingqing Cheng, G. A. Tribello, and M. Ceriotti. “Iterative
Unbiasing of Quasi-Equilibrium Sampling.” Journal of Chemical Theory and Computation.
American Chemical Society, 2019. https://doi.org/10.1021/acs.jctc.9b00907.
ieee: F. Giberti, B. Cheng, G. A. Tribello, and M. Ceriotti, “Iterative unbiasing
of quasi-equilibrium sampling,” Journal of Chemical Theory and Computation,
vol. 16, no. 1. American Chemical Society, pp. 100–107, 2019.
ista: Giberti F, Cheng B, Tribello GA, Ceriotti M. 2019. Iterative unbiasing of
quasi-equilibrium sampling. Journal of Chemical Theory and Computation. 16(1),
100–107.
mla: Giberti, F., et al. “Iterative Unbiasing of Quasi-Equilibrium Sampling.” Journal
of Chemical Theory and Computation, vol. 16, no. 1, American Chemical Society,
2019, pp. 100–07, doi:10.1021/acs.jctc.9b00907.
short: F. Giberti, B. Cheng, G.A. Tribello, M. Ceriotti, Journal of Chemical Theory
and Computation 16 (2019) 100–107.
date_created: 2021-07-19T06:56:45Z
date_published: 2019-01-14T00:00:00Z
date_updated: 2021-08-09T12:37:37Z
day: '14'
doi: 10.1021/acs.jctc.9b00907
extern: '1'
external_id:
arxiv:
- '1911.01140'
pmid:
- '31743021'
intvolume: ' 16'
issue: '1'
language:
- iso: eng
main_file_link:
- open_access: '1'
url: https://arxiv.org/abs/1911.01140
month: '01'
oa: 1
oa_version: Preprint
page: 100-107
pmid: 1
publication: Journal of Chemical Theory and Computation
publication_identifier:
eissn:
- 1549-9626
issn:
- 1549-9618
publication_status: published
publisher: American Chemical Society
quality_controlled: '1'
scopus_import: '1'
status: public
title: Iterative unbiasing of quasi-equilibrium sampling
type: journal_article
user_id: 6785fbc1-c503-11eb-8a32-93094b40e1cf
volume: 16
year: '2019'
...
---
_id: '12600'
abstract:
- lang: eng
text: The snow cover dynamics of High Mountain Asia are usually assessed at spatial
resolutions of 250 m or greater, but this scale is too coarse to clearly represent
the rugged topography common to the region. Higher-resolution measurement of snow-covered
area often results in biased sampling due to cloud cover and deep shadows. We
therefore develop a Normalized Difference Snow Index-based workflow to delineate
snow lines from Landsat Thematic Mapper/Enhanced Thematic Mapper+ imagery and
apply it to the upper Langtang Valley in Nepal, processing 194 scenes spanning
1999 to 2013. For each scene, we determine the spatial distribution of snow line
altitudes (SLAs) with respect to aspect and across six subcatchments. Our results
show that the mean SLA exhibits distinct seasonal behavior based on aspect and
subcatchment position. We find that SLA dynamics respond to spatial and seasonal
trade-offs in precipitation, temperature, and solar radiation, which act as primary
controls. We identify two SLA spatial gradients, which we attribute to the effect
of spatially variable precipitation. Our results also reveal that aspect-related
SLA differences vary seasonally and are influenced by solar radiation. In terms
of seasonal dominant controls, we demonstrate that the snow line is controlled
by snow precipitation in winter, melt in premonsoon, a combination of both in
postmonsoon, and temperature in monsoon, explaining to a large extent the spatial
and seasonal variability of the SLA in the upper Langtang Valley. We conclude
that while SLA and snow-covered area are complementary metrics, the SLA has a
strong potential for understanding local-scale snow cover dynamics and their controlling
mechanisms.
article_processing_charge: No
article_type: original
author:
- first_name: Marc
full_name: Girona‐Mata, Marc
last_name: Girona‐Mata
- first_name: Evan S.
full_name: Miles, Evan S.
last_name: Miles
- first_name: Silvan
full_name: Ragettli, Silvan
last_name: Ragettli
- first_name: Francesca
full_name: Pellicciotti, Francesca
id: b28f055a-81ea-11ed-b70c-a9fe7f7b0e70
last_name: Pellicciotti
citation:
ama: Girona‐Mata M, Miles ES, Ragettli S, Pellicciotti F. High‐resolution snowline
delineation from Landsat imagery to infer snow cover controls in a Himalayan catchment.
Water Resources Research. 2019;55(8):6754-6772. doi:10.1029/2019wr024935
apa: Girona‐Mata, M., Miles, E. S., Ragettli, S., & Pellicciotti, F. (2019).
High‐resolution snowline delineation from Landsat imagery to infer snow cover
controls in a Himalayan catchment. Water Resources Research. American Geophysical
Union. https://doi.org/10.1029/2019wr024935
chicago: Girona‐Mata, Marc, Evan S. Miles, Silvan Ragettli, and Francesca Pellicciotti.
“High‐resolution Snowline Delineation from Landsat Imagery to Infer Snow Cover
Controls in a Himalayan Catchment.” Water Resources Research. American
Geophysical Union, 2019. https://doi.org/10.1029/2019wr024935.
ieee: M. Girona‐Mata, E. S. Miles, S. Ragettli, and F. Pellicciotti, “High‐resolution
snowline delineation from Landsat imagery to infer snow cover controls in a Himalayan
catchment,” Water Resources Research, vol. 55, no. 8. American Geophysical
Union, pp. 6754–6772, 2019.
ista: Girona‐Mata M, Miles ES, Ragettli S, Pellicciotti F. 2019. High‐resolution
snowline delineation from Landsat imagery to infer snow cover controls in a Himalayan
catchment. Water Resources Research. 55(8), 6754–6772.
mla: Girona‐Mata, Marc, et al. “High‐resolution Snowline Delineation from Landsat
Imagery to Infer Snow Cover Controls in a Himalayan Catchment.” Water Resources
Research, vol. 55, no. 8, American Geophysical Union, 2019, pp. 6754–72, doi:10.1029/2019wr024935.
short: M. Girona‐Mata, E.S. Miles, S. Ragettli, F. Pellicciotti, Water Resources
Research 55 (2019) 6754–6772.
date_created: 2023-02-20T08:12:59Z
date_published: 2019-08-01T00:00:00Z
date_updated: 2023-02-28T12:14:18Z
day: '01'
doi: 10.1029/2019wr024935
extern: '1'
intvolume: ' 55'
issue: '8'
keyword:
- Water Science and Technology
language:
- iso: eng
main_file_link:
- open_access: '1'
url: https://doi.org/10.1029/2019WR024935
month: '08'
oa: 1
oa_version: Published Version
page: 6754-6772
publication: Water Resources Research
publication_identifier:
eissn:
- 1944-7973
issn:
- 0043-1397
publication_status: published
publisher: American Geophysical Union
quality_controlled: '1'
scopus_import: '1'
status: public
title: High‐resolution snowline delineation from Landsat imagery to infer snow cover
controls in a Himalayan catchment
type: journal_article
user_id: 2DF688A6-F248-11E8-B48F-1D18A9856A87
volume: 55
year: '2019'
...
---
_id: '12602'
abstract:
- lang: eng
text: 'This study aims at developing and applying a spatially-distributed coupled
glacier mass balance and ice-flow model to attribute the response of glaciers
to natural and anthropogenic climate change. We focus on two glaciers with contrasting
surface characteristics: a debris-covered glacier (Langtang Glacier in Nepal)
and a clean-ice glacier (Hintereisferner in Austria). The model is applied from
the end of the Little Ice Age (1850) to the present-day (2016) and is forced with
four bias-corrected General Circulation Models (GCMs) from the historical experiment
of the CMIP5 archive. The selected GCMs represent region-specific warm-dry, warm-wet,
cold-dry, and cold-wet climate conditions. To isolate the effects of anthropogenic
climate change on glacier mass balance and flow runs from these GCMs with and
without further anthropogenic forcing after 1970 until 2016 are selected. The
outcomes indicate that both glaciers experience the largest reduction in area
and volume under warm climate conditions, whereas area and volume reductions are
smaller under cold climate conditions. Simultaneously with changes in glacier
area and volume, surface velocities generally decrease over time. Without further
anthropogenic forcing the results reveal a 3% (9%) smaller decline in glacier
area (volume) for the debris-covered glacier and a 18% (39%) smaller decline in
glacier area (volume) for the clean-ice glacier. The difference in the magnitude
between the two glaciers can mainly be attributed to differences in the response
time of the glaciers, where the clean-ice glacier shows a much faster response
to climate change. We conclude that the response of the two glaciers can mainly
be attributed to anthropogenic climate change and that the impact is larger on
the clean-ice glacier. The outcomes show that the model performs well under different
climate conditions and that the developed approach can be used for regional-scale
glacio-hydrological modeling.'
article_number: '143'
article_processing_charge: No
article_type: original
author:
- first_name: René R.
full_name: Wijngaard, René R.
last_name: Wijngaard
- first_name: Jakob F.
full_name: Steiner, Jakob F.
last_name: Steiner
- first_name: Philip D. A.
full_name: Kraaijenbrink, Philip D. A.
last_name: Kraaijenbrink
- first_name: Christoph
full_name: Klug, Christoph
last_name: Klug
- first_name: Surendra
full_name: Adhikari, Surendra
last_name: Adhikari
- first_name: Argha
full_name: Banerjee, Argha
last_name: Banerjee
- first_name: Francesca
full_name: Pellicciotti, Francesca
id: b28f055a-81ea-11ed-b70c-a9fe7f7b0e70
last_name: Pellicciotti
- first_name: Ludovicus P. H.
full_name: van Beek, Ludovicus P. H.
last_name: van Beek
- first_name: Marc F. P.
full_name: Bierkens, Marc F. P.
last_name: Bierkens
- first_name: Arthur F.
full_name: Lutz, Arthur F.
last_name: Lutz
- first_name: Walter W.
full_name: Immerzeel, Walter W.
last_name: Immerzeel
citation:
ama: Wijngaard RR, Steiner JF, Kraaijenbrink PDA, et al. Modeling the response of
the Langtang Glacier and the Hintereisferner to a changing climate since the Little
Ice Age. Frontiers in Earth Science. 2019;7. doi:10.3389/feart.2019.00143
apa: Wijngaard, R. R., Steiner, J. F., Kraaijenbrink, P. D. A., Klug, C., Adhikari,
S., Banerjee, A., … Immerzeel, W. W. (2019). Modeling the response of the Langtang
Glacier and the Hintereisferner to a changing climate since the Little Ice Age.
Frontiers in Earth Science. Frontiers Media. https://doi.org/10.3389/feart.2019.00143
chicago: Wijngaard, René R., Jakob F. Steiner, Philip D. A. Kraaijenbrink, Christoph
Klug, Surendra Adhikari, Argha Banerjee, Francesca Pellicciotti, et al. “Modeling
the Response of the Langtang Glacier and the Hintereisferner to a Changing Climate
since the Little Ice Age.” Frontiers in Earth Science. Frontiers Media,
2019. https://doi.org/10.3389/feart.2019.00143.
ieee: R. R. Wijngaard et al., “Modeling the response of the Langtang Glacier
and the Hintereisferner to a changing climate since the Little Ice Age,” Frontiers
in Earth Science, vol. 7. Frontiers Media, 2019.
ista: Wijngaard RR, Steiner JF, Kraaijenbrink PDA, Klug C, Adhikari S, Banerjee
A, Pellicciotti F, van Beek LPH, Bierkens MFP, Lutz AF, Immerzeel WW. 2019. Modeling
the response of the Langtang Glacier and the Hintereisferner to a changing climate
since the Little Ice Age. Frontiers in Earth Science. 7, 143.
mla: Wijngaard, René R., et al. “Modeling the Response of the Langtang Glacier and
the Hintereisferner to a Changing Climate since the Little Ice Age.” Frontiers
in Earth Science, vol. 7, 143, Frontiers Media, 2019, doi:10.3389/feart.2019.00143.
short: R.R. Wijngaard, J.F. Steiner, P.D.A. Kraaijenbrink, C. Klug, S. Adhikari,
A. Banerjee, F. Pellicciotti, L.P.H. van Beek, M.F.P. Bierkens, A.F. Lutz, W.W.
Immerzeel, Frontiers in Earth Science 7 (2019).
date_created: 2023-02-20T08:13:08Z
date_published: 2019-06-04T00:00:00Z
date_updated: 2023-02-28T12:04:48Z
day: '04'
doi: 10.3389/feart.2019.00143
extern: '1'
intvolume: ' 7'
language:
- iso: eng
main_file_link:
- open_access: '1'
url: https://doi.org/10.3389/feart.2019.00143
month: '06'
oa: 1
oa_version: Published Version
publication: Frontiers in Earth Science
publication_identifier:
issn:
- 2296-6463
publication_status: published
publisher: Frontiers Media
quality_controlled: '1'
scopus_import: '1'
status: public
title: Modeling the response of the Langtang Glacier and the Hintereisferner to a
changing climate since the Little Ice Age
type: journal_article
user_id: 2DF688A6-F248-11E8-B48F-1D18A9856A87
volume: 7
year: '2019'
...
---
_id: '12601'
abstract:
- lang: eng
text: Ice cliffs and ponds on debris-covered glaciers have received increased attention
due to their role in amplifying local melt. However, very few studies have looked
at these features on the catchment scale to determine their patterns and changes
in space and time. We have compiled a detailed inventory of cliffs and ponds in
the Langtang catchment, central Himalaya, from six high-resolution satellite orthoimages
and DEMs between 2006 and 2015, and a historic orthophoto from 1974. Cliffs cover
between 1.4% (± 0.4%) in the dry and 3.4% (± 0.9%) in the wet seasons and ponds
between 0.6% (± 0.1%) and 1.6% (± 0.3%) of the total debris-covered tongues. We
find large variations between seasons, as cliffs and ponds tend to grow in the
wetter monsoon period, but there is no obvious trend in total area over the study
period. The inventory further shows that cliffs are predominately north-facing
irrespective of the glacier flow direction. Both cliffs and ponds appear in higher
densities several hundred metres from the terminus in areas where tributaries
reach the main glacier tongue. On the largest glacier in the catchment ~10% of
all cliffs and ponds persisted over nearly a decade.
article_processing_charge: No
article_type: original
author:
- first_name: JAKOB F.
full_name: STEINER, JAKOB F.
last_name: STEINER
- first_name: PASCAL
full_name: BURI, PASCAL
last_name: BURI
- first_name: EVAN S.
full_name: MILES, EVAN S.
last_name: MILES
- first_name: SILVAN
full_name: RAGETTLI, SILVAN
last_name: RAGETTLI
- first_name: Francesca
full_name: Pellicciotti, Francesca
id: b28f055a-81ea-11ed-b70c-a9fe7f7b0e70
last_name: Pellicciotti
citation:
ama: 'STEINER JF, BURI P, MILES ES, RAGETTLI S, Pellicciotti F. Supraglacial ice
cliffs and ponds on debris-covered glaciers: Spatio-temporal distribution and
characteristics. Journal of Glaciology. 2019;65(252):617-632. doi:10.1017/jog.2019.40'
apa: 'STEINER, J. F., BURI, P., MILES, E. S., RAGETTLI, S., & Pellicciotti,
F. (2019). Supraglacial ice cliffs and ponds on debris-covered glaciers: Spatio-temporal
distribution and characteristics. Journal of Glaciology. Cambridge University
Press. https://doi.org/10.1017/jog.2019.40'
chicago: 'STEINER, JAKOB F., PASCAL BURI, EVAN S. MILES, SILVAN RAGETTLI, and Francesca
Pellicciotti. “Supraglacial Ice Cliffs and Ponds on Debris-Covered Glaciers: Spatio-Temporal
Distribution and Characteristics.” Journal of Glaciology. Cambridge University
Press, 2019. https://doi.org/10.1017/jog.2019.40.'
ieee: 'J. F. STEINER, P. BURI, E. S. MILES, S. RAGETTLI, and F. Pellicciotti, “Supraglacial
ice cliffs and ponds on debris-covered glaciers: Spatio-temporal distribution
and characteristics,” Journal of Glaciology, vol. 65, no. 252. Cambridge
University Press, pp. 617–632, 2019.'
ista: 'STEINER JF, BURI P, MILES ES, RAGETTLI S, Pellicciotti F. 2019. Supraglacial
ice cliffs and ponds on debris-covered glaciers: Spatio-temporal distribution
and characteristics. Journal of Glaciology. 65(252), 617–632.'
mla: 'STEINER, JAKOB F., et al. “Supraglacial Ice Cliffs and Ponds on Debris-Covered
Glaciers: Spatio-Temporal Distribution and Characteristics.” Journal of Glaciology,
vol. 65, no. 252, Cambridge University Press, 2019, pp. 617–32, doi:10.1017/jog.2019.40.'
short: J.F. STEINER, P. BURI, E.S. MILES, S. RAGETTLI, F. Pellicciotti, Journal
of Glaciology 65 (2019) 617–632.
date_created: 2023-02-20T08:13:03Z
date_published: 2019-08-01T00:00:00Z
date_updated: 2023-02-28T12:11:07Z
day: '01'
doi: 10.1017/jog.2019.40
extern: '1'
intvolume: ' 65'
issue: '252'
language:
- iso: eng
main_file_link:
- open_access: '1'
url: https://doi.org/10.1017/jog.2019.40
month: '08'
oa: 1
oa_version: Published Version
page: 617-632
publication: Journal of Glaciology
publication_identifier:
eissn:
- 1727-5652
issn:
- 0022-1430
publication_status: published
publisher: Cambridge University Press
quality_controlled: '1'
scopus_import: '1'
status: public
title: 'Supraglacial ice cliffs and ponds on debris-covered glaciers: Spatio-temporal
distribution and characteristics'
type: journal_article
user_id: 2DF688A6-F248-11E8-B48F-1D18A9856A87
volume: 65
year: '2019'
...