Oden Institute for Computational Engineering and Sciences, University of Texas at Austin, 201 East 24th Street, Austin, TX 78712, USA
Jackson School of Geosciences, University of Texas at Austin, 201 East 24th Street, Austin, TX 78712, USA
Institute for Geophysics, University of Texas at Austin, J.J. Pickle Research Campus, Bldg. 196, 10100 Burnet Road (R2200), Room 2.236, Austin, TX 78758, USA
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2,322
60
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Total: 2,322
BibTeX: 60
EndNote: 54
Views and downloads (calculated since 08 Aug 2019)
Cumulative views and downloads
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Total article views: 1,767 (including HTML, PDF, and XML)
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1,336
394
37
1,767
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HTML: 1,336
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XML: 37
Total: 1,767
BibTeX: 44
EndNote: 40
Views and downloads (calculated since 09 Apr 2020)
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Total article views: 555 (including HTML, PDF, and XML)
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302
247
6
555
169
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HTML: 302
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Total: 555
Supplement: 169
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Views and downloads (calculated since 08 Aug 2019)
Cumulative views and downloads
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Viewed (geographical distribution)
Total article views: 2,322 (including HTML, PDF, and XML)
Thereof 1,900 with geography defined
and 422 with unknown origin.
Total article views: 1,767 (including HTML, PDF, and XML)
Thereof 1,473 with geography defined
and 294 with unknown origin.
Total article views: 555 (including HTML, PDF, and XML)
Thereof 427 with geography defined
and 128 with unknown origin.
A new capability has been developed for the ice sheet model SICOPOLIS (SImulation COde for POLythermal Ice Sheets) that enables the generation of derivative code, such as tangent linear or adjoint models, by means of algorithmic differentiation. It relies on the source transformation algorithmic (AD) differentiation tool OpenAD. The reverse mode of AD provides the adjoint model, SICOPOLIS-AD, which may be applied for comprehensive sensitivity analyses as well as gradient-based optimization.
A new capability has been developed for the ice sheet model SICOPOLIS (SImulation COde for...