Application of HadCM3@Bristolv1.0 simulations of paleoclimate as forcing for an ice-sheet model, ANICE2.1: set-up and benchmark experiments

Fully coupled ice-sheet–climate modelling over 10 000–100 000-year timescales at high spatial and temporal resolution remains beyond the capability of current computational systems. Forcing an ice-sheet model with precalculated output from a general circulation model (GCM) offers a middle ground, ba...

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Published in:Geoscientific Model Development
Main Authors: Berends, Constantijn J., Boer, Bas, Wal, Roderik S. W.
Format: Text
Language:English
Published: 2018
Subjects:
Online Access:https://doi.org/10.5194/gmd-11-4657-2018
https://gmd.copernicus.org/articles/11/4657/2018/
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spelling ftcopernicus:oai:publications.copernicus.org:gmd69792 2023-05-15T13:55:28+02:00 Application of HadCM3@Bristolv1.0 simulations of paleoclimate as forcing for an ice-sheet model, ANICE2.1: set-up and benchmark experiments Berends, Constantijn J. Boer, Bas Wal, Roderik S. W. 2018-12-10 application/pdf https://doi.org/10.5194/gmd-11-4657-2018 https://gmd.copernicus.org/articles/11/4657/2018/ eng eng doi:10.5194/gmd-11-4657-2018 https://gmd.copernicus.org/articles/11/4657/2018/ eISSN: 1991-9603 Text 2018 ftcopernicus https://doi.org/10.5194/gmd-11-4657-2018 2020-07-20T16:23:02Z Fully coupled ice-sheet–climate modelling over 10 000–100 000-year timescales at high spatial and temporal resolution remains beyond the capability of current computational systems. Forcing an ice-sheet model with precalculated output from a general circulation model (GCM) offers a middle ground, balancing the need to accurately capture both long-term processes, in particular circulation-driven changes in precipitation, and processes requiring a high spatial resolution like ablation. Here, we present and evaluate a model set-up that forces the ANICE 3-D thermodynamic ice-sheet–shelf model calculating the four large continental ice sheets (Antarctica, Greenland, North America, and Eurasia) with precalculated output from two steady-state simulations with the HadCM3 (GCM) using a so-called matrix method of coupling both components, whereby simulations with various levels of p CO 2 and ice-sheet configuration are combined to form a time-continuous transient climate forcing consistent with the modelled ice sheets. We address the difficulties in downscaling low-resolution GCM output to the higher-resolution grid of an ice-sheet model and account for differences between GCM and ice-sheet model surface topography ranging from interglacial to glacial conditions. Although the approach presented here can be applied to a matrix with any number of GCM snapshots, we limited our experiments to a matrix of only two snapshots. As a benchmark experiment to assess the validity of this model set-up, we perform a simulation of the entire last glacial cycle from 120 kyr ago to present day. The simulated eustatic sea-level drop at the Last Glacial Maximum (LGM) for the combined Antarctic, Greenland, Eurasian, and North American ice sheets amounts to 100 m, in line with many other studies. The simulated ice sheets at the LGM agree well with the ICE-5G reconstruction and the more recent DATED-1 reconstruction in terms of total volume and geographical location of the ice sheets. Moreover, modelled benthic oxygen isotope abundance and the relative contributions from global ice volume and deep-water temperature agree well with available data, as do surface temperature histories for the Greenland and Antarctic ice sheets. This model strategy can be used to create time-continuous ice-sheet distribution and sea-level reconstructions for geological periods up to several million years in duration, capturing climate-model-driven variations in the mass balance of the ice sheet. Text Antarc* Antarctic Antarctica Greenland Ice Sheet Copernicus Publications: E-Journals Antarctic Greenland Middle Ground ENVELOPE(-55.715,-55.715,53.317,53.317) Geoscientific Model Development 11 11 4657 4675
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collection Copernicus Publications: E-Journals
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language English
description Fully coupled ice-sheet–climate modelling over 10 000–100 000-year timescales at high spatial and temporal resolution remains beyond the capability of current computational systems. Forcing an ice-sheet model with precalculated output from a general circulation model (GCM) offers a middle ground, balancing the need to accurately capture both long-term processes, in particular circulation-driven changes in precipitation, and processes requiring a high spatial resolution like ablation. Here, we present and evaluate a model set-up that forces the ANICE 3-D thermodynamic ice-sheet–shelf model calculating the four large continental ice sheets (Antarctica, Greenland, North America, and Eurasia) with precalculated output from two steady-state simulations with the HadCM3 (GCM) using a so-called matrix method of coupling both components, whereby simulations with various levels of p CO 2 and ice-sheet configuration are combined to form a time-continuous transient climate forcing consistent with the modelled ice sheets. We address the difficulties in downscaling low-resolution GCM output to the higher-resolution grid of an ice-sheet model and account for differences between GCM and ice-sheet model surface topography ranging from interglacial to glacial conditions. Although the approach presented here can be applied to a matrix with any number of GCM snapshots, we limited our experiments to a matrix of only two snapshots. As a benchmark experiment to assess the validity of this model set-up, we perform a simulation of the entire last glacial cycle from 120 kyr ago to present day. The simulated eustatic sea-level drop at the Last Glacial Maximum (LGM) for the combined Antarctic, Greenland, Eurasian, and North American ice sheets amounts to 100 m, in line with many other studies. The simulated ice sheets at the LGM agree well with the ICE-5G reconstruction and the more recent DATED-1 reconstruction in terms of total volume and geographical location of the ice sheets. Moreover, modelled benthic oxygen isotope abundance and the relative contributions from global ice volume and deep-water temperature agree well with available data, as do surface temperature histories for the Greenland and Antarctic ice sheets. This model strategy can be used to create time-continuous ice-sheet distribution and sea-level reconstructions for geological periods up to several million years in duration, capturing climate-model-driven variations in the mass balance of the ice sheet.
format Text
author Berends, Constantijn J.
Boer, Bas
Wal, Roderik S. W.
spellingShingle Berends, Constantijn J.
Boer, Bas
Wal, Roderik S. W.
Application of HadCM3@Bristolv1.0 simulations of paleoclimate as forcing for an ice-sheet model, ANICE2.1: set-up and benchmark experiments
author_facet Berends, Constantijn J.
Boer, Bas
Wal, Roderik S. W.
author_sort Berends, Constantijn J.
title Application of HadCM3@Bristolv1.0 simulations of paleoclimate as forcing for an ice-sheet model, ANICE2.1: set-up and benchmark experiments
title_short Application of HadCM3@Bristolv1.0 simulations of paleoclimate as forcing for an ice-sheet model, ANICE2.1: set-up and benchmark experiments
title_full Application of HadCM3@Bristolv1.0 simulations of paleoclimate as forcing for an ice-sheet model, ANICE2.1: set-up and benchmark experiments
title_fullStr Application of HadCM3@Bristolv1.0 simulations of paleoclimate as forcing for an ice-sheet model, ANICE2.1: set-up and benchmark experiments
title_full_unstemmed Application of HadCM3@Bristolv1.0 simulations of paleoclimate as forcing for an ice-sheet model, ANICE2.1: set-up and benchmark experiments
title_sort application of hadcm3@bristolv1.0 simulations of paleoclimate as forcing for an ice-sheet model, anice2.1: set-up and benchmark experiments
publishDate 2018
url https://doi.org/10.5194/gmd-11-4657-2018
https://gmd.copernicus.org/articles/11/4657/2018/
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geographic Antarctic
Greenland
Middle Ground
geographic_facet Antarctic
Greenland
Middle Ground
genre Antarc*
Antarctic
Antarctica
Greenland
Ice Sheet
genre_facet Antarc*
Antarctic
Antarctica
Greenland
Ice Sheet
op_source eISSN: 1991-9603
op_relation doi:10.5194/gmd-11-4657-2018
https://gmd.copernicus.org/articles/11/4657/2018/
op_doi https://doi.org/10.5194/gmd-11-4657-2018
container_title Geoscientific Model Development
container_volume 11
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