globalchange  > 影响、适应和脆弱性
DOI: 10.5194/tc-11-949-2017
Scopus记录号: 2-s2.0-85018519738
论文题名:
How accurate are estimates of glacier ice thickness? Results from ITMIX, the Ice Thickness Models Intercomparison eXperiment
作者: 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
刊名: Cryosphere
ISSN: 19940416
出版年: 2017
卷: 11, 期:2
起始页码: 949
结束页码: 970
语种: 英语
英文关键词: data quality ; data set ; glacier ; ice cap ; ice thickness ; mass balance ; model validation
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.
Citation statistics:
资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/75570
Appears in Collections:影响、适应和脆弱性
气候变化与战略

Files in This Item:

There are no files associated with this item.


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 Research Council, Cambridge, United Kingdom; Institute of Atmospheric and Cryospheric Sciences, University of Innsbruck, Innsbruck, Austria; Department of Civil Engineering, Indian Institute of Technology, Bombay, India; Institute for Marine and Atmospheric Research (IMAU), Utrecht University, Utrecht, Netherlands; Arctic Technology Centre ARTEK, Technical University of Denmark, Kongens Lyngby, Denmark; Department of Earth Sciences, Uppsala University, Uppsala, Sweden; Antarctic Research Centre, Victoria University of Wellington, Wellington, New Zealand; Scott Polar Research Institute, University of Cambridge, Cambridge, United Kingdom; Central Institute for Meteorology and Geodynamics (ZAMG), Vienna, Austria; Institute for Interdisciplinary Mountain Research, Austrian Academy of Sciences, Innsbruck, Austria; Laboratory of Glaciology, Institute of Geography, Russian Academy of Science, Moscow, Russian Federation; State Key Laboratory of Cryospheric Sciences, Tian Shan Glaciological Station, CAREERI, CAS, Lanzhou, China; Norwegian Water Resources and Energy Direct. (NVE), Oslo, Norway

Recommended Citation:
Farinotti D,, Brinkerhoff D,J,et al. How accurate are estimates of glacier ice thickness? Results from ITMIX, the Ice Thickness Models Intercomparison eXperiment[J]. Cryosphere,2017-01-01,11(2)
Service
Recommend this item
Sava as my favorate item
Show this item's statistics
Export Endnote File
Google Scholar
Similar articles in Google Scholar
[Farinotti D]'s Articles
[, Brinkerhoff D]'s Articles
[J]'s Articles
百度学术
Similar articles in Baidu Scholar
[Farinotti D]'s Articles
[, Brinkerhoff D]'s Articles
[J]'s Articles
CSDL cross search
Similar articles in CSDL Cross Search
[Farinotti D]‘s Articles
[, Brinkerhoff D]‘s Articles
[J]‘s Articles
Related Copyright Policies
Null
收藏/分享
所有评论 (0)
暂无评论
 

Items in IR are protected by copyright, with all rights reserved, unless otherwise indicated.