Bayesian approach to estimate proglacial lake volume (BE-GLAV)
- Prateek Gantayat,
- Ashim Sattar,
- Umesh K Haritashya,
- C Scott Watson,
- Jeffrey S Kargel
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 models30 May 2024Submitted to ESS Open Archive 30 May 2024Published in ESS Open Archive