Academic Journal
How accurate are estimates of glacier ice thickness? Results from ITMIX, the Ice Thickness Models Intercomparison eXperiment
| العنوان: | How accurate are estimates of glacier ice thickness? Results from ITMIX, the Ice Thickness Models Intercomparison eXperiment |
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| المؤلفون: | D. Farinotti, D. J. Brinkerhoff, G. K. C. Clarke, J. J. Fürst, H. Frey, P. Gantayat, F. Gillet-Chaulet, C. Girard, M. Huss, P. W. Leclercq, A. Linsbauer, H. Machguth, C. Martin, F. Maussion, M. Morlighem, C. Mosbeux, A. Pandit, A. Portmann, A. Rabatel, R. Ramsankaran, T. J. Reerink, O. Sanchez, P. A. Stentoft, S. Singh Kumari, W. J. J. van Pelt, B. Anderson, T. Benham, D. Binder, J. A. Dowdeswell, A. Fischer, K. Helfricht, S. Kutuzov, I. Lavrentiev, R. McNabb, G. H. Gudmundsson, H. Li, L. M. Andreassen |
| المصدر: | The Cryosphere, Vol 11, Iss 2, Pp 949-970 (2017) |
| بيانات النشر: | Copernicus Publications, 2017. |
| سنة النشر: | 2017 |
| المجموعة: | LCC:Environmental sciences LCC:Geology |
| مصطلحات موضوعية: | Environmental sciences, GE1-350, Geology, QE1-996.5 |
| الوصف: | 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. |
| نوع الوثيقة: | article |
| وصف الملف: | electronic resource |
| اللغة: | English |
| تدمد: | 1994-0416 1994-0424 |
| Relation: | http://www.the-cryosphere.net/11/949/2017/tc-11-949-2017.pdf; https://doaj.org/toc/1994-0416; https://doaj.org/toc/1994-0424 |
| DOI: | 10.5194/tc-11-949-2017 |
| URL الوصول: | https://doaj.org/article/7b92c212db514fef88bb497f2d0997d7 |
| رقم الانضمام: | edsdoj.7b92c212db514fef88bb497f2d0997d7 |
| قاعدة البيانات: | Directory of Open Access Journals |
Full Text Finder | تدمد: | 19940416 19940424 |
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| DOI: | 10.5194/tc-11-949-2017 |