Simulating sea ice drift in the Southern Ocean incorporating real wind data using the LSFEM
Author:
Affiliation:
1. Institute of Mechanics Faculty of Engineering University of Duisburg-Essen Universitätsstr. 15 45141Essen Germany
Publisher
Wiley
Subject
Electrical and Electronic Engineering,Atomic and Molecular Physics, and Optics
Link
https://onlinelibrary.wiley.com/doi/pdf/10.1002/pamm.202100130
Reference13 articles.
1. H. Hersbach B. Bell P. Berrisford G. Biavati A. Horányi J. Muñoz Sabater J. Nicolas C. Peubey R. Radu I. Rozum D. Schepers A. Simmons C. Soci D. Dee J.-N. Thépaut. ERA5 hourly data on single levels from 1979 to present. Copernicus Climate Change Service (C3S) Climate Data Store (CDS). (Accessed on 03-03-2021) 10.24381/cds.adbb2d47 2018.
2. W.D. Hibler III. A dynamic thermodynamic sea ice model. Journal of Physical Oceanography 9(4):815–846 1979.
3. W.R. Hobbs R. Massom S. Stammerjohn P. Reid G. Williams and W. Meier. A review of recent changes in Southern Ocean sea ice their drivers and forcings. Global Planet. Change 143:228–250 2016.
4. J. Korelc. Automatic generation of finite-element code by simultaneous optimization of expressions. Theoretical Computer Science 187(1-2):231–248 1997.
5. J. Korelc. Multi-language and multi-environment generation of nonlinear finite element codes. Engineering with computers 18(4):312–327 2002.
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