How accurate are estimates of glacier ice thickness? Results from ITMIX, the Ice Thickness Models Intercomparison eXperiment

Beitrag in einer Fachzeitschrift


Details zur Publikation

Autor(en): Farinotti D, Brinkerhoff D, Clarke G, Fürst J, Frey H, Gantayat P, Gillet-Chaulet F, Girard C, Huss M, Leclercq P, Linsbauer A, Machguth H, Martin C, Maussion F, Morlighem M, Mosbeux C, Pandit A, Portmann A, Rabatel A, Ramsankaran R, Reerink T, Sanchez O, Stentoft P, Singh Kumari S, van Pelt W, Anderson B, Benham T, Binder D, Dowdeswell J, Fischer A, Helfricht K, Kutuzov S, Lavrentiev I, McNabb R, Gudmundsson H, Li H, Andreassen L
Zeitschrift: Cryosphere
Jahr der Veröffentlichung: 2017
ISSN: 1994-0416
eISSN: 1994-0424
Sprache: Englisch


Abstract


Knowledge of the ice thickness distribution of glaciers and ice caps is an important prerequisite for many glaciological and hydrological investigations. A wealth of approaches has recently been presented for inferring ice thickness from characteristics of the surface. With the Ice Thickness Models Intercomparison eXperiment (ITMIX) we performed the first coordinated assessment quantifying individual model performance. A set of 17 different models showed that individual ice thickness estimates can differ considerably – locally by a spread comparable to the observed thickness. Averaging the results of multiple models, however, significantly improved the results: on average over the 21 considered test cases, comparison against direct ice thickness measurements revealed deviations on the order of 10 ± 24 % of the mean ice thickness (1σ estimate). Models relying on multiple data sets – such as surface ice velocity fields, surface mass balance, or rates of ice thickness change – showed high sensitivity to input data quality. Together with the requirement of being able to handle large regions in an automated fashion, the capacity of better accounting for uncertainties in the input data will be a key for an improved next generation of ice thickness estimation approaches.



FAU-Autoren / FAU-Herausgeber

Fürst, Johannes Dr.
Institut für Geographie


Autor(en) der externen Einrichtung(en)
Leopold-Franzens-Universität Innsbruck / University of Innsbruck


Zitierweisen

APA:
Farinotti, D., Brinkerhoff, D., Clarke, G., Fürst, J., Frey, H., Gantayat, P.,... Andreassen, L. (2017). How accurate are estimates of glacier ice thickness? Results from ITMIX, the Ice Thickness Models Intercomparison eXperiment. Cryosphere. https://dx.doi.org/10.5194/tc-11-949-2017

MLA:
Farinotti, Daniel, et al. "How accurate are estimates of glacier ice thickness? Results from ITMIX, the Ice Thickness Models Intercomparison eXperiment." Cryosphere (2017).

BibTeX: 

Zuletzt aktualisiert 2018-23-09 um 04:10