Bayesian inference of subglacial topography using mass conservation

Bayesian inference of subglacial topography using mass conservation

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 posteri...

Full description

Bibliographic Details
Main Authors: Douglas John Brinkerhoff, Andy eAschwanden, Martin eTruffer
Format: Article
Language:English
Published: Frontiers Media S.A. 2016-02-01
Series:Frontiers in Earth Science
Subjects:
Bayesian inference
inverse methods
Mass conservation
uncertainty quantification
continuity equation
subglacial topography
Online Access:http://journal.frontiersin.org/Journal/10.3389/feart.2016.00008/full

Internet

http://journal.frontiersin.org/Journal/10.3389/feart.2016.00008/full

Similar Items