In: Bioinformatics, 2018, vol. 34, no. 17, p. i647-i655
|
In: Statistics and Computing, 2015, vol. 25, no. 1, p. 113-125
|
In: BIT Numerical Mathematics, 2015, vol. 55, no. 2, p. 319-340
|
In: Statistics and Computing, 2015, vol. 25, no. 1, p. 93-94
|
In: Communications in Mathematical Physics, 2015, vol. 340, no. 2, p. 575-611
|
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...
|
In: Natural Hazards, 2014, vol. 73, no. 3, p. 1999-2022
|
In: Potential Analysis, 2014, vol. 41, no. 3, p. 761-769
|
In: Mathematische Zeitschrift, 2014, vol. 276, no. 3-4, p. 635-654
|
In: Methodology and Computing in Applied Probability, 2014, vol. 16, no. 3, p. 561-582
|