BITE-Model: Bayesian Ice Thickness Estimation Model

Surging, biting Vernagtferner by R. Reschreiter (1911)

This model can be used to estimate ice thickness maps of mountain glaciers and ice caps. It needs surface elevation and a glacier outline and can make use of the following additional data: surface mass balance, elevation change, ice thickness measurements (usually radar), and also expert guesses. It uses a Bayesian framework implemented numerically using a Markov chain Monte Carlo method.

TOC

• Data Loading
• Basic operation
• Customisation of the loading process
• Under the hood
• Forward Model
• Inverse Model
• Actually running the model
• API
• Index