Articles | Volume 9, issue 5
https://doi.org/10.5194/gmd-9-1891-2016
© Author(s) 2016. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
https://doi.org/10.5194/gmd-9-1891-2016
© Author(s) 2016. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
Model description paper
| 
20 May 2016
Model description paper |
| 20 May 2016
An optimized treatment for algorithmic differentiation of an important glaciological fixed-point problem
Univ. of Edinburgh, School of GeoSciences, Edinburgh, UK
Sri Hari Krishna Narayanan
Maths. and Comp. Science Division, Argonne National Lab, Argonne, IL, USA
Laurent Hascoet
INRIA Sophia-Antipolis, Valbonne, France
Jean Utke
Allstate Insurance Company, Northbrook, IL, USA
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Cited
14 citations as recorded by crossref.
- Progress in Numerical Modeling of Antarctic Ice-Sheet Dynamics F. Pattyn et al. 10.1007/s40641-017-0069-7
- MITgcm-AD v2: Open source tangent linear and adjoint modeling framework for the oceans and atmosphere enabled by the Automatic Differentiation tool Tapenade S. Gaikwad et al. 10.1016/j.future.2024.107512
- SICOPOLIS-AD v1: an open-source adjoint modeling framework for ice sheet simulation enabled by the algorithmic differentiation tool OpenAD L. Logan et al. 10.5194/gmd-13-1845-2020
- Changes in flow of Crosson and Dotson ice shelves, West Antarctica, in response to elevated melt D. Lilien et al. 10.5194/tc-12-1415-2018
- The Relative Impacts of Initialization and Climate Forcing in Coupled Ice Sheet‐Ocean Modeling: Application to Pope, Smith, and Kohler Glaciers D. Goldberg & P. Holland 10.1029/2021JF006570
- Algorithmic Differentiation for adjoint sensitivity calculation in plasma edge codes S. Carli et al. 10.1016/j.jcp.2023.112403
- The transferability of adjoint inversion products between different ice flow models J. Barnes et al. 10.5194/tc-15-1975-2021
- Mapping the Sensitivity of the Amundsen Sea Embayment to Changes in External Forcings Using Automatic Differentiation M. Morlighem et al. 10.1029/2021GL095440
- How Accurately Should We Model Ice Shelf Melt Rates? D. Goldberg et al. 10.1029/2018GL080383
- Incorporating modelled subglacial hydrology into inversions for basal drag C. Koziol & N. Arnold 10.5194/tc-11-2783-2017
- Assimilation of surface observations in a transient marine ice sheet model using an ensemble Kalman filter F. Gillet-Chaulet 10.5194/tc-14-811-2020
- Melt at grounding line controls observed and future retreat of Smith, Pope, and Kohler glaciers D. Lilien et al. 10.5194/tc-13-2817-2019
- Mass balance of the ice sheets and glaciers – Progress since AR5 and challenges E. Hanna et al. 10.1016/j.earscirev.2019.102976
- Automated Calculation of Higher Order Partial Differential Equation Constrained Derivative Information J. Maddison et al. 10.1137/18M1209465
14 citations as recorded by crossref.
- Progress in Numerical Modeling of Antarctic Ice-Sheet Dynamics F. Pattyn et al. 10.1007/s40641-017-0069-7
- MITgcm-AD v2: Open source tangent linear and adjoint modeling framework for the oceans and atmosphere enabled by the Automatic Differentiation tool Tapenade S. Gaikwad et al. 10.1016/j.future.2024.107512
- SICOPOLIS-AD v1: an open-source adjoint modeling framework for ice sheet simulation enabled by the algorithmic differentiation tool OpenAD L. Logan et al. 10.5194/gmd-13-1845-2020
- Changes in flow of Crosson and Dotson ice shelves, West Antarctica, in response to elevated melt D. Lilien et al. 10.5194/tc-12-1415-2018
- The Relative Impacts of Initialization and Climate Forcing in Coupled Ice Sheet‐Ocean Modeling: Application to Pope, Smith, and Kohler Glaciers D. Goldberg & P. Holland 10.1029/2021JF006570
- Algorithmic Differentiation for adjoint sensitivity calculation in plasma edge codes S. Carli et al. 10.1016/j.jcp.2023.112403
- The transferability of adjoint inversion products between different ice flow models J. Barnes et al. 10.5194/tc-15-1975-2021
- Mapping the Sensitivity of the Amundsen Sea Embayment to Changes in External Forcings Using Automatic Differentiation M. Morlighem et al. 10.1029/2021GL095440
- How Accurately Should We Model Ice Shelf Melt Rates? D. Goldberg et al. 10.1029/2018GL080383
- Incorporating modelled subglacial hydrology into inversions for basal drag C. Koziol & N. Arnold 10.5194/tc-11-2783-2017
- Assimilation of surface observations in a transient marine ice sheet model using an ensemble Kalman filter F. Gillet-Chaulet 10.5194/tc-14-811-2020
- Melt at grounding line controls observed and future retreat of Smith, Pope, and Kohler glaciers D. Lilien et al. 10.5194/tc-13-2817-2019
- Mass balance of the ice sheets and glaciers – Progress since AR5 and challenges E. Hanna et al. 10.1016/j.earscirev.2019.102976
- Automated Calculation of Higher Order Partial Differential Equation Constrained Derivative Information J. Maddison et al. 10.1137/18M1209465
Saved (preprint)
Latest update: 21 Nov 2024
Short summary
Geophysical adjoint models are powerful tools, allowing sensitivity studies that are not possible otherwise, and enabling optimized fit of models to observing data sets. The complexity involved requires the use of algorithmic differentiation (AD) software, but AD adjoint calculation for ice models can be slow, with prohibitive memory requirements. In this paper, we present a method to improve the performance of ice model adjoint generation, in terms of timing, memory load, and accuracy.
Geophysical adjoint models are powerful tools, allowing sensitivity studies that are not...
