Articles | Volume 15, issue 4
https://doi.org/10.5194/gmd-15-1477-2022
https://doi.org/10.5194/gmd-15-1477-2022
Development and technical paper
 | 
18 Feb 2022
Development and technical paper |  | 18 Feb 2022

Mapping high-resolution basal topography of West Antarctica from radar data using non-stationary multiple-point geostatistics (MPS-BedMappingV1)

Zhen Yin, Chen Zuo, Emma J. MacKie, and Jef Caers

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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 gmd-2021-297', John Goff, 04 Oct 2021
  • RC2: 'Review of "MPS-BedMappingV1" by Yin et al. 2021', Wei Ji Leong, 05 Oct 2021
  • RC3: 'Comment on gmd-2021-297', Gregoire Mariethoz, 06 Oct 2021

Peer review completion

AR: Author's response | RR: Referee report | ED: Editor decision
AR by Zhen Yin on behalf of the Authors (08 Dec 2021)  Author's response    Author's tracked changes    Manuscript
ED: Referee Nomination & Report Request started (09 Dec 2021) by Alexander Robel
RR by John Goff (21 Dec 2021)
RR by Gregoire Mariethoz (23 Dec 2021)
ED: Publish subject to technical corrections (06 Jan 2022) by Alexander Robel
AR by Zhen Yin on behalf of the Authors (15 Jan 2022)  Author's response    Manuscript
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Short summary
We provide a multiple-point geostatistics approach to probabilistically learn from training images to fill large-scale irregular geophysical data gaps. With a repository of global topographic training images, our approach models high-resolution basal topography and quantifies the geospatial uncertainty. It generated high-resolution topographic realizations to investigate the impact of basal topographic uncertainty on critical subglacial hydrological flow patterns associated with ice velocity.