التفاصيل البيبلوغرافية
| العنوان: |
DataSheet1_Results from the Ice Thickness Models Intercomparison eXperiment Phase 2 (ITMIX2).pdf |
| المؤلفون: |
Daniel Farinotti (10015952), Douglas J. Brinkerhoff (10015955), Johannes J. Fürst (10015958), Prateek Gantayat (10015961), Fabien Gillet-Chaulet (10015964), Matthias Huss (10015967), Paul W. Leclercq (10015970), Hansruedi Maurer (7179551), Mathieu Morlighem (10015973), Ankur Pandit (5697083), Antoine Rabatel (4044779), RAAJ Ramsankaran (5697080), Thomas J. Reerink (10015976), Ellen Robo (10015979), Emmanuel Rouges (10015982), Erik Tamre (10015985), Ward J. J. van Pelt (10015988), Mauro A. Werder (10015991), Mohod Farooq Azam (10015994), Huilin Li (795365), Liss M. Andreassen (10015997) |
| سنة النشر: |
2021 |
| المجموعة: |
Smithsonian Institution: Digital Repository |
| مصطلحات موضوعية: |
Solid Earth Sciences, Climate Science, Atmospheric Sciences not elsewhere classified, Exploration Geochemistry, Inorganic Geochemistry, Isotope Geochemistry, Organic Geochemistry, Geochemistry not elsewhere classified, Igneous and Metamorphic Petrology, Ore Deposit Petrology, Palaeontology (incl. Palynology), Structural Geology, Tectonics, Volcanology, Geology not elsewhere classified, Seismology and Seismic Exploration, Glaciology, Hydrogeology, Natural Hazards, Quaternary Environments, Earth Sciences not elsewhere classified, Evolutionary Impacts of Climate Change, glaciers, ice caps, ice thickness, modeling, intercomparison |
| الوصف: |
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 ... |
| نوع الوثيقة: |
dataset |
| اللغة: |
unknown |
| Relation: |
https://figshare.com/articles/dataset/DataSheet1_Results_from_the_Ice_Thickness_Models_Intercomparison_eXperiment_Phase_2_ITMIX2_pdf/16950283 |
| DOI: |
10.3389/feart.2020.571923.s001 |
| الاتاحة: |
https://doi.org/10.3389/feart.2020.571923.s001 |
| Rights: |
CC BY 4.0 |
| رقم الانضمام: |
edsbas.727B6618 |
| قاعدة البيانات: |
BASE |