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

We present a new capability of the ice sheet model SICOPOLIS that enables flexible adjoint code generation via source transformation using the open-source algorithmic differentiation (AD) tool OpenAD. The adjoint code enables efficient calculation of the sensitivities of a scalar-valued objective fu...

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Published in:Geoscientific Model Development
Main Authors: L. C. Logan, S. H. K. Narayanan, R. Greve, P. Heimbach
Format: Article in Journal/Newspaper
Language:English
Published: Copernicus Publications 2020
Subjects:
Online Access:https://doi.org/10.5194/gmd-13-1845-2020
https://doaj.org/article/11cf4086df184848a310540e865ccc23
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spelling ftdoajarticles:oai:doaj.org/article:11cf4086df184848a310540e865ccc23 2023-05-15T13:52:54+02:00 SICOPOLIS-AD v1: an open-source adjoint modeling framework for ice sheet simulation enabled by the algorithmic differentiation tool OpenAD L. C. Logan S. H. K. Narayanan R. Greve P. Heimbach 2020-04-01T00:00:00Z https://doi.org/10.5194/gmd-13-1845-2020 https://doaj.org/article/11cf4086df184848a310540e865ccc23 EN eng Copernicus Publications https://www.geosci-model-dev.net/13/1845/2020/gmd-13-1845-2020.pdf https://doaj.org/toc/1991-959X https://doaj.org/toc/1991-9603 doi:10.5194/gmd-13-1845-2020 1991-959X 1991-9603 https://doaj.org/article/11cf4086df184848a310540e865ccc23 Geoscientific Model Development, Vol 13, Pp 1845-1864 (2020) Geology QE1-996.5 article 2020 ftdoajarticles https://doi.org/10.5194/gmd-13-1845-2020 2022-12-31T04:00:41Z We present a new capability of the ice sheet model SICOPOLIS that enables flexible adjoint code generation via source transformation using the open-source algorithmic differentiation (AD) tool OpenAD. The adjoint code enables efficient calculation of the sensitivities of a scalar-valued objective function or quantity of interest (QoI) to a range of important, often spatially varying and uncertain model input variables, including initial and boundary conditions, as well as model parameters. Compared to earlier work on the adjoint code generation of SICOPOLIS, our work makes several important advances: (i) it is embedded within the up-to-date trunk of the SICOPOLIS repository – accounting for 1.5 decades of code development and improvements – and is readily available to the wider community; (ii) the AD tool used, OpenAD, is an open-source tool; (iii) the adjoint code developed is applicable to both Greenland and Antarctica, including grounded ice as well as floating ice shelves, with an extended choice of thermodynamical representations. A number of code refactorization steps were required. They are discussed in detail in an Appendix as they hold lessons for the application of AD to legacy codes at large. As an example application, we examine the sensitivity of the total Antarctic Ice Sheet volume to changes in initial ice thickness, austral summer precipitation, and basal and surface temperatures across the ice sheet. Simulations of Antarctica with floating ice shelves show that over 100 years of simulation the sensitivity of total ice sheet volume to the initial ice thickness and precipitation is almost uniformly positive, while the sensitivities to surface and basal temperature are almost uniformly negative. Sensitivity to austral summer precipitation is largest on floating ice shelves from Queen Maud to Queen Mary Land. The largest sensitivity to initial ice thickness is at outlet glaciers around Antarctica. Comparison between total ice sheet volume sensitivities to surface and basal temperature shows that ... Article in Journal/Newspaper Antarc* Antarctic Antarctica Greenland Ice Sheet Ice Shelves Queen Mary land Directory of Open Access Journals: DOAJ Articles Antarctic Austral Greenland Queen Mary Land ENVELOPE(96.000,96.000,-68.000,-68.000) Geoscientific Model Development 13 4 1845 1864
institution Open Polar
collection Directory of Open Access Journals: DOAJ Articles
op_collection_id ftdoajarticles
language English
topic Geology
QE1-996.5
spellingShingle Geology
QE1-996.5
L. C. Logan
S. H. K. Narayanan
R. Greve
P. Heimbach
SICOPOLIS-AD v1: an open-source adjoint modeling framework for ice sheet simulation enabled by the algorithmic differentiation tool OpenAD
topic_facet Geology
QE1-996.5
description We present a new capability of the ice sheet model SICOPOLIS that enables flexible adjoint code generation via source transformation using the open-source algorithmic differentiation (AD) tool OpenAD. The adjoint code enables efficient calculation of the sensitivities of a scalar-valued objective function or quantity of interest (QoI) to a range of important, often spatially varying and uncertain model input variables, including initial and boundary conditions, as well as model parameters. Compared to earlier work on the adjoint code generation of SICOPOLIS, our work makes several important advances: (i) it is embedded within the up-to-date trunk of the SICOPOLIS repository – accounting for 1.5 decades of code development and improvements – and is readily available to the wider community; (ii) the AD tool used, OpenAD, is an open-source tool; (iii) the adjoint code developed is applicable to both Greenland and Antarctica, including grounded ice as well as floating ice shelves, with an extended choice of thermodynamical representations. A number of code refactorization steps were required. They are discussed in detail in an Appendix as they hold lessons for the application of AD to legacy codes at large. As an example application, we examine the sensitivity of the total Antarctic Ice Sheet volume to changes in initial ice thickness, austral summer precipitation, and basal and surface temperatures across the ice sheet. Simulations of Antarctica with floating ice shelves show that over 100 years of simulation the sensitivity of total ice sheet volume to the initial ice thickness and precipitation is almost uniformly positive, while the sensitivities to surface and basal temperature are almost uniformly negative. Sensitivity to austral summer precipitation is largest on floating ice shelves from Queen Maud to Queen Mary Land. The largest sensitivity to initial ice thickness is at outlet glaciers around Antarctica. Comparison between total ice sheet volume sensitivities to surface and basal temperature shows that ...
format Article in Journal/Newspaper
author L. C. Logan
S. H. K. Narayanan
R. Greve
P. Heimbach
author_facet L. C. Logan
S. H. K. Narayanan
R. Greve
P. Heimbach
author_sort L. C. Logan
title SICOPOLIS-AD v1: an open-source adjoint modeling framework for ice sheet simulation enabled by the algorithmic differentiation tool OpenAD
title_short SICOPOLIS-AD v1: an open-source adjoint modeling framework for ice sheet simulation enabled by the algorithmic differentiation tool OpenAD
title_full SICOPOLIS-AD v1: an open-source adjoint modeling framework for ice sheet simulation enabled by the algorithmic differentiation tool OpenAD
title_fullStr SICOPOLIS-AD v1: an open-source adjoint modeling framework for ice sheet simulation enabled by the algorithmic differentiation tool OpenAD
title_full_unstemmed SICOPOLIS-AD v1: an open-source adjoint modeling framework for ice sheet simulation enabled by the algorithmic differentiation tool OpenAD
title_sort sicopolis-ad v1: an open-source adjoint modeling framework for ice sheet simulation enabled by the algorithmic differentiation tool openad
publisher Copernicus Publications
publishDate 2020
url https://doi.org/10.5194/gmd-13-1845-2020
https://doaj.org/article/11cf4086df184848a310540e865ccc23
long_lat ENVELOPE(96.000,96.000,-68.000,-68.000)
geographic Antarctic
Austral
Greenland
Queen Mary Land
geographic_facet Antarctic
Austral
Greenland
Queen Mary Land
genre Antarc*
Antarctic
Antarctica
Greenland
Ice Sheet
Ice Shelves
Queen Mary land
genre_facet Antarc*
Antarctic
Antarctica
Greenland
Ice Sheet
Ice Shelves
Queen Mary land
op_source Geoscientific Model Development, Vol 13, Pp 1845-1864 (2020)
op_relation https://www.geosci-model-dev.net/13/1845/2020/gmd-13-1845-2020.pdf
https://doaj.org/toc/1991-959X
https://doaj.org/toc/1991-9603
doi:10.5194/gmd-13-1845-2020
1991-959X
1991-9603
https://doaj.org/article/11cf4086df184848a310540e865ccc23
op_doi https://doi.org/10.5194/gmd-13-1845-2020
container_title Geoscientific Model Development
container_volume 13
container_issue 4
container_start_page 1845
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