Bayesian inference of subglacial topography using mass conservation

• Published in: Frontiers in Earth Science
• Main Authors: Douglas John Brinkerhoff, Andy eAschwanden, Martin eTruffer
• Format: Article in Journal/Newspaper
• Language: English
• Published: Frontiers Media S.A. 2016
• Subjects: Bayesian inference; inverse methods; Mass conservation; uncertainty quantification; continuity equation; subglacial topography; Science; Q; Hastings; Jakobshavn
• Online Access: https://doi.org/10.3389/feart.2016.00008; https://doaj.org/article/b740a0b4534e424c8ddb0fbb84202b72

We develop a Bayesian model for estimating ice thickness given sparse observations coupled with estimates of surface mass balance, surface elevation change, and surface velocity. These fields are related through mass conservation. We use the Metropolis-Hastings algorithm to sample from the posterior...