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Integrated second order shallow ice approximation (iSOSIA)
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Egholm, David Lundbek; Scherler, Dirk (2020): Integrated second order shallow ice approximation (iSOSIA). V. 3.4.3. GFZ Data Services. https://doi.org/10.5880/fidgeo.2020.032Status
I N R E V I E W : Egholm, David Lundbek; Scherler, Dirk (2020): Integrated second order shallow ice approximation (iSOSIA). V. 3.4.3. GFZ Data Services. https://doi.org/10.5880/fidgeo.2020.032Abstract
iSOSIA is an ice sheet model based on depth integration of the second‐order shallow ice approximation. Although depth integration is not guaranteed to maintain so‐called second‐order accuracy, the results of computational benchmark experiments show that iSOSIA, in spite of its efficient depth‐integrated structure, performs well in situations with steep topography (Egholm et al., 2011). Version 3.4.3 of iSOSIA includes a routine for Lagrangian particle tracing and the production and decay of in situ-produced cosmogenic 10Be. For more details on the implementation of the particle tracing, see Scherler and Egholm (2020).Additional Information
Licence information for iSOSIA v. 3.4.3GNU General Public License, Version 3, 29 June 2007
Copyright © 2020 David L. Egholm (Department of Geoscience, Aarhus University, Aarhus, Denmark)
iSOSIA is free software: you can redistribute it and/or modify it under the terms of the GNU General Public License as published by the Free Software Foundation, either version 3 of the License, or (at your option) any later version. iSOSIA is distributed in the hope that it will be useful, but WITHOUT ANY WARRANTY; without even the implied warranty of MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the GNU General Public License for more details. You should have received a copy of the GNU General Public License along with this program. If not, see <http://www.gnu.org/licenses/>.
Authors
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- Egholm, David Lundbek; Department of Geoscience, Aarhus University, Aarhus, Denmark;
- Scherler, Dirk; GFZ German Research Centre for Geosciences, Potsdam, Germany;
Keywords
glaciers, modelling, erosionGCMD Science Keywords
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