Geoscientific Model Development
Geoscientific Model Development
GMD
Articles | Volume 13, issue 4
Articles | Volume 13, issue 4
https://doi.org/10.5194/gmd-13-1845-2020
© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/gmd-13-1845-2020
© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.
Articles | Volume 13, issue 4
Development and technical paper
 | 
09 Apr 2020
Development and technical paper |  | 09 Apr 2020

SICOPOLIS-AD v1: an open-source adjoint modeling framework for ice sheet simulation enabled by the algorithmic differentiation tool OpenAD

Liz C. Logan, Sri Hari Krishna Narayanan, Ralf Greve, and Patrick Heimbach

Viewed

Total article views: 2,598 (including HTML, PDF, and XML)
HTML PDF XML Total BibTeX EndNote
1,819 722 57 2,598 90 74
  • HTML: 1,819
  • PDF: 722
  • XML: 57
  • Total: 2,598
  • BibTeX: 90
  • EndNote: 74
Views and downloads (calculated since 08 Aug 2019)
Cumulative views and downloads (calculated since 08 Aug 2019)

Viewed (geographical distribution)

Total article views: 2,598 (including HTML, PDF, and XML) Thereof 2,167 with geography defined and 431 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 

Cited

Latest update: 13 Dec 2024
Download
Short summary
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.
Read more