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DOI10.3389/feart.2020.571923
Results from the Ice Thickness Models Intercomparison eXperiment Phase 2 (ITMIX2)
Farinotti, Daniel; Brinkerhoff, Douglas J.; Fuerst, Johannes J.; Gantayat, Prateek; Gillet-Chaulet, Fabien; Huss, Matthias; Leclercq, Paul W.; Maurer, Hansruedi; Morlighem, Mathieu; Pandit, Ankur; Rabatel, Antoine; Ramsankaran, R. A. A. J.; Reerink, Thomas J.; Robo, Ellen; Rouges, Emmanuel; Tamre, Erik; van Pelt, Ward J. J.; Werder, Mauro A.; Azam, Mohod Farooq; Li, Huilin; Andreassen, Liss M.
通讯作者Farinotti, D (通讯作者),Swiss Fed Inst Technol, Lab Hydraul Hydrol & Glaciol VAW, Zurich, Switzerland. ; Farinotti, D (通讯作者),Swiss Fed Inst Forest Snow & Landscape Res WSL, Birmensdorf, Switzerland.
发表日期2021
EISSN2296-6463
卷号8
英文摘要Knowing the ice thickness distribution of a glacier is of fundamental importance for a number of applications, ranging from the planning of glaciological fieldwork to the assessments of future sea-level change. Across spatial scales, however, this knowledge is limited by the paucity and discrete character of available thickness observations. To obtain a spatially coherent distribution of the glacier ice thickness, interpolation or numerical models have to be used. Whilst the first phase of the Ice Thickness Models Intercomparison eXperiment (ITMIX) focused on approaches that estimate such spatial information from characteristics of the glacier surface alone, ITMIX2 sought insights for the capability of the models to extract information from a limited number of thickness observations. The analyses were designed around 23 test cases comprising both real-world and synthetic glaciers, with each test case comprising a set of 16 different experiments mimicking possible scenarios of data availability. A total of 13 models participated in the experiments. The results show that the inter-model variability in the calculated local thickness is high, and that for unmeasured locations, deviations of 16% of the mean glacier thickness are typical (median estimate, three-quarters of the deviations within 37% of the mean glacier thickness). This notwithstanding, limited sets of ice thickness observations are shown to be effective in constraining the mean glacier thickness, demonstrating the value of even partial surveys. Whilst the results are only weakly affected by the spatial distribution of the observations, surveys that preferentially sample the lowest glacier elevations are found to cause a systematic underestimation of the thickness in several models. Conversely, a preferential sampling of the thickest glacier parts proves effective in reducing the deviations. The response to the availability of ice thickness observations is characteristic to each approach and varies across models. On average across models, the deviation between modeled and observed thickness increase by 8.5% of the mean ice thickness every time the distance to the closest observation increases by a factor of 10. No single best model emerges from the analyses, confirming the added value of using model ensembles.
英文关键词glaciers; ice caps; ice thickness; modeling; intercomparison
语种英语
WOS研究方向Geology
WOS类目Geosciences, Multidisciplinary
WOS记录号WOS:000614514500001
来源期刊FRONTIERS IN EARTH SCIENCE
来源机构中国科学院西北生态环境资源研究院
文献类型期刊论文
条目标识符http://gcip.llas.ac.cn/handle/2XKMVOVA/255185
作者单位[Farinotti, Daniel; Huss, Matthias; Rouges, Emmanuel; Werder, Mauro A.] Swiss Fed Inst Technol, Lab Hydraul Hydrol & Glaciol VAW, Zurich, Switzerland; [Farinotti, Daniel; Huss, Matthias; Rouges, Emmanuel; Werder, Mauro A.] Swiss Fed Inst Forest Snow & Landscape Res WSL, Birmensdorf, Switzerland; [Brinkerhoff, Douglas J.] Univ Montana, Dept Comp Sci, Missoula, MT 59812 USA; [Fuerst, Johannes J.] Friedrich Alexander Univ Erlangen Nuremberg FAU, Inst Geog, Erlangen, Germany; [Gantayat, Prateek] Indian Inst Sci, Divecha Ctr Climate Change, Bangalore, Karnataka, India; [Gillet-Chaulet, Fabien; Rabatel, Antoine] Univ Grenoble Alpes, CNRS, IRD, Inst Geosci Environm IGE,UMR 5001, Grenoble, France; [Huss, Matthias] Univ Fribourg, Dept Geosci, Fribourg, Switzerland; [Leclercq, Paul W.] Univ Oslo, Dept Geosci, Oslo, Norway; [Maurer, Hansruedi] Swiss Fed Inst Technol, Inst Geophys, Zurich, Switzerland; [Morlighem, Mathieu] Univ Calif Irvine, Dept Earth Syst Sci, Irvine, CA USA; [Pandit, Ankur] Indian Inst Technol, In...
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Farinotti, Daniel,Brinkerhoff, Douglas J.,Fuerst, Johannes J.,et al. Results from the Ice Thickness Models Intercomparison eXperiment Phase 2 (ITMIX2)[J]. 中国科学院西北生态环境资源研究院,2021,8.
APA Farinotti, Daniel.,Brinkerhoff, Douglas J..,Fuerst, Johannes J..,Gantayat, Prateek.,Gillet-Chaulet, Fabien.,...&Andreassen, Liss M..(2021).Results from the Ice Thickness Models Intercomparison eXperiment Phase 2 (ITMIX2).FRONTIERS IN EARTH SCIENCE,8.
MLA Farinotti, Daniel,et al."Results from the Ice Thickness Models Intercomparison eXperiment Phase 2 (ITMIX2)".FRONTIERS IN EARTH SCIENCE 8(2021).
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