Université de Fribourg

Brief communication: Ad hoc estimation of glacier contributions to sea-level rise from the latest glaciological observations

Zemp, Michael ; Huss, Matthias ; Eckert, Nicolas ; Thibert, Emmanuel ; Paul, Frank ; Nussbaumer, Samuel U. ; Gärtner-Roer, Isabelle

In: The Cryosphere, 2020, vol. 14, no. 3, p. 1043–1050

Comprehensive assessments of global glacier mass changes based on a variety of observations and prevailing methodologies have been published at multi-annual intervals. For the years in between, the glaciological method provides annual observations of specific mass changes but is suspected to not be representative at the regional to global scales due to uneven glacier distribution with...

Université de Fribourg

A Bayesian ice thickness estimation model for large-scale applications

Werder, Mauro A. ; Huss, Matthias ; Paul, Frank ; Dehecq, Amaury ; Farinotti, Daniel

In: Journal of Glaciology, 2020, vol. 66, no. 255, p. 137–152

Accurate estimations of ice thickness and volume are indispensable for ice flow modelling, hydrological forecasts and sea-level rise projections. We present a new ice thickness estimation model based on a mass-conserving forward model and a Bayesian inversion scheme. The forward model calculates flux in an elevation-band flow-line model, and translates this into ice thickness and surface ice...

Université de Fribourg

Calculating distributed glacier mass balance for the Swiss Alps from regional climate model output: A methodical description and interpretation of the results

Machguth, Horst ; Paul, Frank ; Kotlarski, Sven ; Hoelzle, Martin

In: Journal of Geophysical Research, 2009, vol. 114, p. D19106

This study aims at giving a methodical description of the use of gridded output from a regional climate model (RCM) for the calculation of glacier mass balance distribution for the perimeter of the Swiss Alps. The mass balance model runs at daily steps and 100 m spatial resolution, while the regional model (REMO) RCM provides daily grids (∼18 km resolution) of dynamically downscaled reanalysis...