Ice‐Dynamical Glacier Evolution Modeling—A Review-Reference-Cited by-同舟云学术

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Ice‐Dynamical Glacier Evolution Modeling—A Review

Published:2022-05-25 Issue:2 Volume:60 Page:
ISSN:8755-1209
Container-title:Reviews of Geophysics
language:en
Short-container-title:Reviews of Geophysics

Author:

Zekollari H.¹²³⁴^ORCID,Huss M.³⁴⁵,Farinotti D.³⁴^ORCID,Lhermitte S.¹^ORCID

Affiliation:

1. Department of Geoscience and Remote Sensing Delft University of Technology Delft The Netherlands

2. Laboratoire de Glaciologie Université libre de Bruxelles Brussels Belgium

3. Laboratory of Hydraulics, Hydrology and Glaciology (VAW) ETH Zürich Zürich Switzerland

4. Swiss Federal Institute for Forest, Snow and Landscape Research (WSL) Birmensdorf Switzerland

5. Department of Geosciences University of Fribourg Fribourg Switzerland

Funder

Swiss Federal Institute for Forest, Snow and Landscape Research

Publisher

American Geophysical Union (AGU)

Subject

Geophysics

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1029/2021RG000754

Reference256 articles.

1. Numerical modelling of historical front variations and the 21st-century evolution of glacier AX010, Nepal Himalaya

2. Improvements to shear-deformational models of glacier dynamics through a longitudinal stress factor

3. Parameterization of lateral drag in flowline models of glacier dynamics

4. Influence of high-order mechanics on simulation of glacier response to climate change: insights from Haig Glacier, Canadian Rocky Mountains

5. On Characteristic Timescales of Glacier AX010 in the Nepalese Himalaya

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1. Projected future changes in the cryosphere and hydrology of a mountainous catchment in the upper Heihe River, China;Hydrology and Earth System Sciences;2024-08-26

2. Ice Thickness Measurement and Volume Modeling of Muztagh Ata Glacier No.16, Eastern Pamir;Remote Sensing;2024-06-03

3. Remote Sensing and Modeling of the Cryosphere in High Mountain Asia: A Multidisciplinary Review;Remote Sensing;2024-05-11

4. The foundations of the Patagonian icefields;Communications Earth & Environment;2024-03-22

5. Oerlemans Minimal Model as a Possible Instrument for Describing Mountain Glaciation in Earth System Models;Water Resources;2023-10

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