Data_Sheet_1_Bayesian Inference of Ice Softness and Basal Sliding Parameters at Langjökull.ZIP

• Main Authors: Giri Gopalan (10772562), Birgir Hrafnkelsson (5820521), Guðfinna Aðalgeirsdóttir (8925659), Finnur Pálsson (8925656)
• Format: Dataset
• Language: unknown
• Published: 2021
• Subjects: Solid Earth Sciences; Climate Science; Atmospheric Sciences not elsewhere classified; Exploration Geochemistry; Inorganic Geochemistry; Isotope Geochemistry; Organic Geochemistry; Geochemistry not elsewhere classified; Igneous and Metamorphic Petrology; Ore Deposit Petrology; Palaeontology (incl. Palynology); Structural Geology; Tectonics; Volcanology; Geology not elsewhere classified; Seismology and Seismic Exploration; Glaciology; Hydrogeology; Natural Hazards; Quaternary Environments; Earth Sciences not elsewhere classified; Evolutionary Impacts of Climate Change; surface velocity; basal sliding; data analysis-methods; Bayesian inference; ice properties; Langjökull; Ice cap; Iceland
• Online Access: https://doi.org/10.3389/feart.2021.610069.s001

We develop Bayesian statistical models that are designed for the inference of ice softness and basal sliding parameters, important glaciological quantities. These models are applied to Langjökull, the second largest temperate ice cap in Iceland at about 900 squared kilometers in area. The models mak...