globalchange  > 气候变化与战略
DOI: 10.5194/tc-14-3935-2020
论文题名:
GrSMBMIP: Intercomparison of the modelled 1980-2012 surface mass balance over the Greenland Ice Sheet
作者: Fettweis X.; Hofer S.; Krebs-Kanzow U.; Amory C.; Aoki T.; Berends C.J.; Born A.; Box J.E.; Delhasse A.; Fujita K.; Gierz P.; Goelzer H.; Hanna E.; Hashimoto A.; Huybrechts P.; Kapsch M.-L.; King M.D.; Kittel C.; Lang C.; Langen P.L.; Lenaerts J.T.M.; Liston G.E.; Lohmann G.; Mernild S.H.; Mikolajewicz U.; Modali K.; Mottram R.H.; Niwano M.; Noël B.; Ryan J.C.; Smith A.; Streffing J.; Tedesco M.; Jan Van De Berg W.; Van Den Broeke M.; Van De Wal R.S.W.; Van Kampenhout L.; Wilton D.; Wouters B.; Ziemen F.; Zolles T.
刊名: Cryosphere
ISSN: 19940416
出版年: 2020
卷: 14, 期:11
起始页码: 3935
结束页码: 3958
语种: 英语
英文关键词: complexity ; glacier mass balance ; GRACE ; meltwater ; MODIS ; remote sensing ; runoff ; satellite data ; spatiotemporal analysis
英文摘要: Observations and models agree that the Greenland Ice Sheet (GrIS) surface mass balance (SMB) has decreased since the end of the 1990s due to an increase in meltwater runoff and that this trend will accelerate in the future. However, large uncertainties remain, partly due to different approaches for modelling the GrIS SMB, which have to weigh physical complexity or low computing time, different spatial and temporal resolutions, different forcing fields, and different ice sheet topographies and extents, which collectively make an inter-comparison difficult. Our GrIS SMB model intercomparison project (GrSMBMIP) aims to refine these uncertainties by intercomparing 13 models of four types which were forced with the same ERA-Interim reanalysis forcing fields, except for two global models. We interpolate all modelled SMB fields onto a common ice sheet mask at 1 km horizontal resolution for the period 1980-2012 and score the outputs against (1) SMB estimates from a combination of gravimetric remote sensing data from GRACE and measured ice discharge; (2) ice cores, snow pits and in situ SMB observations; and (3) remotely sensed bare ice extent from MODerate-resolution Imaging Spectroradiometer (MODIS). Spatially, the largest spread among models can be found around the margins of the ice sheet, highlighting model deficiencies in an accurate representation of the GrIS ablation zone extent and processes related to surface melt and runoff. Overall, polar regional climate models (RCMs) perform the best compared to observations, in particular for simulating precipitation patterns. However, other simpler and faster models have biases of the same order as RCMs compared with observations and therefore remain useful tools for long-term simulations or coupling with ice sheet models. Finally, it is interesting to note that the ensemble mean of the 13 models produces the best estimate of the present-day SMB relative to observations, suggesting that biases are not systematic among models and that this ensemble estimate can be used as a reference for current climate when carrying out future model developments. However, a higher density of in situ SMB observations is required, especially in the south-east accumulation zone, where the model spread can reach 2 m w.e. yr-1 due to large discrepancies in modelled snowfall accumulation. © 2020 Author(s).
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资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/164457
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作者单位: Spheres Research Unit Geography, University of Liège, Liège, Belgium; Department of Geosciences, Section of Meteorology and Oceanography, University of Oslo, Oslo, Norway; Alfred-Wegener-Institut, Helmholtz Centre for Polar and Marine Research, Bremerhaven, Germany; National Institute of Polar Research, Tachikawa, Japan; Meteorological Research Institute, Japan Meteorological Agency, Tsukuba, Japan; Institute for Marine and Atmospheric Research Utrecht, Utrecht University, Utrecht, Netherlands; Department of Earth Science, University of Bergen, Bergen, Norway; Bjerknes Centre for Climate Research, Bergen, Norway; Geological Survey of Denmark and Greenland, Copenhagen, Denmark; Graduate School of Environmental Studies, Nagoya University, Nagoya, Japan; Laboratoire de Glaciologie, Université Libre de Bruxelles, Brussels, Belgium; Norce Norwegian Research Centre, Bjerknes Centre for Climate Research, Bergen, Norway; School of Geography and Lincoln Centre for Water and Planetary Health, Lincoln, United Kingdom; Earth System Science and Departement Geografie, Vrije Universiteit Brussel, Brussels, Belgium; Max Planck Institute for Meteorology, Hamburg, Germany; Byrd Polar and Climate Research Center, School of Earth Sciences, Ohio State University, Columbus, OH, United States; Department of Environmental Science, IClimate, Aarhus University, Roskilde, Denmark; Danish Meteorological Institute, Copenhagen, Denmark; Department of Atmospheric and Oceanic Sciences, University of Colorado, Boulder, CO 80309, United States; Cooperative Institute for Research in the Atmosphere, Colorado State University, Fort Collins, CO 80528, United States; Nansen Environmental and Remote Sensing Center, Bergen, Norway; Department of Environmental Sciences, Western Norway University of Applied Sciences, Sogndal, Norway; Geophysical Institute, University of Bergen, Bergen, Norway; Antarctic and Sub-Antarctic Program, Universidad de Magallanes, Punta Arenas, Chile; Southern Danish University, Vice-Chancellor's Office, Odense, Denmark; Regionales Rechenzentrum, Universität Hamburg, Hamburg, Germany; Institute at Brown for Environment and Society, Brown University, Providence, RI 03112, United States; Department of Geography, University of Sheffield, Sheffield, S3 7ND, United Kingdom; Lamont-Doherty Earth Observatory, Columbia University, New York, United States; Department of Physical Geography, Utrecht University, Utrecht, Netherlands; Department of Computer Science, University of Sheffield, Sheffield, S1 4DP, United Kingdom; Department of Geoscience and Remote Sensing, Delft University of Technology, Delft, Netherlands

Recommended Citation:
Fettweis X.,Hofer S.,Krebs-Kanzow U.,et al. GrSMBMIP: Intercomparison of the modelled 1980-2012 surface mass balance over the Greenland Ice Sheet[J]. Cryosphere,2020-01-01,14(11)
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