Articles | Volume 22, issue 10
Nat. Hazards Earth Syst. Sci., 22, 3309–3327, 2022
https://doi.org/10.5194/nhess-22-3309-2022
Nat. Hazards Earth Syst. Sci., 22, 3309–3327, 2022
https://doi.org/10.5194/nhess-22-3309-2022
Research article
13 Oct 2022
Research article | 13 Oct 2022

Pre-collapse motion of the February 2021 Chamoli rock–ice avalanche, Indian Himalaya

Maximillian Van Wyk de Vries et al.

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Interactive discussion

Status: closed

Comment types: AC – author | RC – referee | CC – community | EC – editor | CEC – chief editor | : Report abuse
  • RC1: 'Comment on nhess-2021-333', Anonymous Referee #1, 29 Jan 2022
    • AC1: 'Reply on RC1', Maximillian Van Wyk de Vries, 02 May 2022
  • RC2: 'Reviewer comment on nhess-2021-333', Anonymous Referee #2, 24 Mar 2022
    • AC2: 'Reply on RC2', Maximillian Van Wyk de Vries, 02 May 2022

Peer review completion

AR: Author's response | RR: Referee report | ED: Editor decision
ED: Reconsider after major revisions (further review by editor and referees) (13 May 2022) by Filippo Catani
AR by Maximillian Van Wyk de Vries on behalf of the Authors (05 Jul 2022)  Author's response    Author's tracked changes    Manuscript
ED: Referee Nomination & Report Request started (14 Jul 2022) by Filippo Catani
RR by Anonymous Referee #1 (28 Jul 2022)
RR by Anonymous Referee #3 (21 Sep 2022)
ED: Publish subject to minor revisions (review by editor) (21 Sep 2022) by Filippo Catani
AR by Maximillian Van Wyk de Vries on behalf of the Authors (22 Sep 2022)  Author's response    Author's tracked changes    Manuscript
ED: Publish as is (30 Sep 2022) by Filippo Catani
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Short summary
On 7 February 2021, a large rock–ice avalanche occurred in Chamoli, Indian Himalaya. The resulting debris flow swept down the nearby valley, leaving over 200 people dead or missing. We use a range of satellite datasets to investigate how the collapse area changed prior to collapse. We show that signs of instability were visible as early 5 years prior to collapse. However, it would likely not have been possible to predict the timing of the event from current satellite datasets.
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