Home Publications Research Grants Inventions & Patents Awards Additional Research Activities Faculties & Institutions Research Areas

Results from the Ice Thickness Models Intercomparison eXperiment Phase 2 (ITMIX2)

Farinotti D, Brinkerhoff DJ, Fürst J, Gantayat P, Gillet-Chaulet F, Huss M, Leclercq PW, Maurer H, Morlighem M, Pandit A, Rabatel A, Ramsankaran RAAJ, Reerink TJ, Robo E, Rouges E, Tamre E, Van Pelt WJJ, Werder MA, Azam MF, Li H, Andreassen LM (2021)

---

Publication Type: Journal article

Publication year: 2021

Journal

Book Volume: 8

Article Number: 571923

DOI: 10.3389/feart.2020.571923

Abstract

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.

Authors with CRIS profile

Involved external institutions

How to cite

APA:

Farinotti, D., Brinkerhoff, D.J., Fürst, J., Gantayat, P., Gillet-Chaulet, F., Huss, M.,... Andreassen, L.M. (2021). Results from the Ice Thickness Models Intercomparison eXperiment Phase 2 (ITMIX2). Frontiers in Earth Science, 8. https://doi.org/10.3389/feart.2020.571923

MLA:

Farinotti, Daniel, et al. "Results from the Ice Thickness Models Intercomparison eXperiment Phase 2 (ITMIX2)." Frontiers in Earth Science 8 (2021).

BibTeX: Download