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Bayesian approach to estimate proglacial lake volume (BE-GLAV)
  • +2
  • Prateek Gantayat,
  • Ashim Sattar,
  • Umesh K Haritashya,
  • C Scott Watson,
  • Jeffrey S Kargel
Prateek Gantayat
Department of Geology and Environmental Geosciences, University of Dayton

Corresponding Author:[email protected]

Author Profile
Ashim Sattar
School of Earth, Ocean and Climate Sciences, Indian Institute of Technology
Umesh K Haritashya
Department of Geology and Environmental Geosciences, University of Dayton
C Scott Watson
Department of Hydrology and Atmospheric Science, The University of Arizona, COMET, School of Earth and Environment, University of Leeds
Jeffrey S Kargel
Planetary Science Institute

Abstract

 Bayesian calibration based estimation of proglacial lake volume  Method applied to sixty-six lakes located in the High Mountain Asia  Reduction of maximum error in modelled lake volume by >5 times as compared to existing scaling models  Requires minimal calibration with observations as compared to scaling models

Peer review timeline

30 May 2024Submitted to ESS Open Archive
30 May 2024Published in ESS Open Archive