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DOI	10.5194/tc-11-949-2017
	How accurate are estimates of glacier ice thickness? Results from ITMIX, the Ice Thickness Models Intercomparison eXperiment
	Farinotti D.; Brinkerhoff D.J.; Clarke G.K.C.; Fürst J.J.; Frey H.; Gantayat P.; Gillet-Chaulet F.; Girard C.; Huss M.; Leclercq P.W.; Linsbauer A.; Machguth H.; Martin C.; Maussion F.; Morlighem M.; Mosbeux C.; Pandit A.; Portmann A.; Rabatel A.; Ramsankaran R.; Reerink T.J.; Sanchez O.; Stentoft P.A.; Singh Kumari S.; Van Pelt W.J.J.; Anderson B.; Benham T.; Binder D.; Dowdeswell J.A.; Fischer A.; Helfricht K.; Kutuzov S.; Lavrentiev I.; McNabb R.; Hilmar Gudmundsson G.; Li H.; Andreassen L.M.
发表日期	2017
ISSN	19940416
卷号	11 期号:2
英文摘要	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. © Author(s) 2017.
学科领域	data quality; data set; glacier; ice cap; ice thickness; mass balance; model validation
语种	英语
scopus关键词	data quality; data set; glacier; ice cap; ice thickness; mass balance; model validation
来源期刊	Cryosphere
文献类型	期刊论文
条目标识符	http://gcip.llas.ac.cn/handle/2XKMVOVA/119411
作者单位	Laboratory of Hydraulics, Hydrology and Glaciology (VAW), ETH Zurich, Zurich, Switzerland; Swiss Federal Institute for Forest, Snow and Landscape Research (WSL), Birmensdorf, Switzerland; Geophysical Institute, University of Alaska Fairbanks, Fairbanks, AK, United States; Department of Earth, Ocean and Atmospheric Sciences, University of British Columbia, Vancouver, BC, Canada; Institute of Geography, Friedrich Alexander University of Erlangen-Nuremberg (FAU), Erlangen, Germany; Department of Geography, University of Zurich, Zurich, Switzerland; Divecha Centre for Climate Change, Indian Institute of Science, Bangalore, India; Institut des Géosciences de l'Environnement (IGE), Université Grenoble Alpes, CNRS, IRD, Grenoble, France; Department of Earth System Science, University of California Irvine, Irvine, CA, United States; Department of Geosciences, University of Fribourg, Fribourg, Switzerland; Department of Geosciences, University of Oslo, Oslo, Norway; British Antarctic Survey, Natural Environment Re...
推荐引用方式 GB/T 7714	Farinotti D.,Brinkerhoff D.J.,Clarke G.K.C.,et al. How accurate are estimates of glacier ice thickness? Results from ITMIX, the Ice Thickness Models Intercomparison eXperiment[J],2017,11(2).
APA	Farinotti D..,Brinkerhoff D.J..,Clarke G.K.C..,Fürst J.J..,Frey H..,...&Andreassen L.M..(2017).How accurate are estimates of glacier ice thickness? Results from ITMIX, the Ice Thickness Models Intercomparison eXperiment.Cryosphere,11(2).
MLA	Farinotti D.,et al."How accurate are estimates of glacier ice thickness? Results from ITMIX, the Ice Thickness Models Intercomparison eXperiment".Cryosphere 11.2(2017).