Exploring grid sensitivity in an ice sheet model: A case study of the Amery Ice Shelf

The dynamics of the Antarctic ice sheet are key factors affecting global climate change. To project future sea level changes, ice sheet models are developed based on a discrete grid system, which profoundly impacts the accuracy of numerical simulations. To comprehensively explore the sensitivity of...

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Main Authors: Qian-Xi Wang, Teng Li, Xiao Cheng, Chen Zhao, Lei Zheng, Qi Liang
Format: Article
Language:English
Published: KeAi Communications Co., Ltd. 2024-12-01
Series:Advances in Climate Change Research
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Online Access:http://www.sciencedirect.com/science/article/pii/S1674927824001783
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author Qian-Xi Wang
Teng Li
Xiao Cheng
Chen Zhao
Lei Zheng
Qi Liang
author_facet Qian-Xi Wang
Teng Li
Xiao Cheng
Chen Zhao
Lei Zheng
Qi Liang
author_sort Qian-Xi Wang
collection DOAJ
description The dynamics of the Antarctic ice sheet are key factors affecting global climate change. To project future sea level changes, ice sheet models are developed based on a discrete grid system, which profoundly impacts the accuracy of numerical simulations. To comprehensively explore the sensitivity of ice modeling performance to grid resolution, this study focused on the Amery Ice Shelf (AmIS), the largest glacial flow system in east Antarctica. Using ten grid resolutions (nine sets of structured grids ranging from 2 to 30 km and one set of adaptive unstructured grid from 1 to 20 km), we conducted a series of inversion experiments and diagnostic perturbation tests. Our findings reveal a high sensitivity of both inversion parameters, the rate factor A and basal slipperiness C, as well as Grounding Line Flux (GLF) and Volume Above Floatation (VAF), to the grid resolution. We observed that for the AmIS, grid resolutions coarser than 10 km in our model introduce considerable noise and reduce the ability to capture realistic dynamic processes. Additionally, we found that the inversion parameters were transferable between grid systems of different resolutions, and the AmIS exhibited a consistent response to idealized collapse scenarios across these grid systems, particularly for grids with a resolution of 10 km or finer. This study extends the previous ice sheet model intercomparison experiments from synthetic topography to realistic geometry and provides insights for future ice modeling studies on grid systems configurations.
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institution Kabale University
issn 1674-9278
language English
publishDate 2024-12-01
publisher KeAi Communications Co., Ltd.
record_format Article
series Advances in Climate Change Research
spelling doaj-art-1451b81e94084a1c8f0d3909ab1d74852025-01-15T04:11:37ZengKeAi Communications Co., Ltd.Advances in Climate Change Research1674-92782024-12-0115610131026Exploring grid sensitivity in an ice sheet model: A case study of the Amery Ice ShelfQian-Xi Wang0Teng Li1Xiao Cheng2Chen Zhao3Lei Zheng4Qi Liang5School of Geospatial Engineering and Science, Sun Yat-sen University, Southern Marine Science and Engineering Guangdong Laboratory (Zhuhai), Zhuhai 519082, China; Key Laboratory of Comprehensive Observation of Polar Environment (Sun Yat-sen University), Ministry of Education, Zhuhai 519082, ChinaSchool of Geospatial Engineering and Science, Sun Yat-sen University, Southern Marine Science and Engineering Guangdong Laboratory (Zhuhai), Zhuhai 519082, China; Key Laboratory of Comprehensive Observation of Polar Environment (Sun Yat-sen University), Ministry of Education, Zhuhai 519082, China; Corresponding author. School of Geospatial Engineering and Science, Sun Yat-sen University, Southern Marine Science and Engineering Guangdong Laboratory (Zhuhai), Zhuhai 519082, China.School of Geospatial Engineering and Science, Sun Yat-sen University, Southern Marine Science and Engineering Guangdong Laboratory (Zhuhai), Zhuhai 519082, China; Key Laboratory of Comprehensive Observation of Polar Environment (Sun Yat-sen University), Ministry of Education, Zhuhai 519082, ChinaAustralian Antarctic Program Partnership, Institute for Marine and Antarctic Studies, University of Tasmania, Hobart 7004, AustraliaSchool of Geospatial Engineering and Science, Sun Yat-sen University, Southern Marine Science and Engineering Guangdong Laboratory (Zhuhai), Zhuhai 519082, China; Key Laboratory of Comprehensive Observation of Polar Environment (Sun Yat-sen University), Ministry of Education, Zhuhai 519082, ChinaSchool of Geospatial Engineering and Science, Sun Yat-sen University, Southern Marine Science and Engineering Guangdong Laboratory (Zhuhai), Zhuhai 519082, China; Key Laboratory of Comprehensive Observation of Polar Environment (Sun Yat-sen University), Ministry of Education, Zhuhai 519082, ChinaThe dynamics of the Antarctic ice sheet are key factors affecting global climate change. To project future sea level changes, ice sheet models are developed based on a discrete grid system, which profoundly impacts the accuracy of numerical simulations. To comprehensively explore the sensitivity of ice modeling performance to grid resolution, this study focused on the Amery Ice Shelf (AmIS), the largest glacial flow system in east Antarctica. Using ten grid resolutions (nine sets of structured grids ranging from 2 to 30 km and one set of adaptive unstructured grid from 1 to 20 km), we conducted a series of inversion experiments and diagnostic perturbation tests. Our findings reveal a high sensitivity of both inversion parameters, the rate factor A and basal slipperiness C, as well as Grounding Line Flux (GLF) and Volume Above Floatation (VAF), to the grid resolution. We observed that for the AmIS, grid resolutions coarser than 10 km in our model introduce considerable noise and reduce the ability to capture realistic dynamic processes. Additionally, we found that the inversion parameters were transferable between grid systems of different resolutions, and the AmIS exhibited a consistent response to idealized collapse scenarios across these grid systems, particularly for grids with a resolution of 10 km or finer. This study extends the previous ice sheet model intercomparison experiments from synthetic topography to realistic geometry and provides insights for future ice modeling studies on grid systems configurations.http://www.sciencedirect.com/science/article/pii/S1674927824001783Ice sheet modelGrid sensitivityAmery ice shelfNumerical simulation
spellingShingle Qian-Xi Wang
Teng Li
Xiao Cheng
Chen Zhao
Lei Zheng
Qi Liang
Exploring grid sensitivity in an ice sheet model: A case study of the Amery Ice Shelf
Advances in Climate Change Research
Ice sheet model
Grid sensitivity
Amery ice shelf
Numerical simulation
title Exploring grid sensitivity in an ice sheet model: A case study of the Amery Ice Shelf
title_full Exploring grid sensitivity in an ice sheet model: A case study of the Amery Ice Shelf
title_fullStr Exploring grid sensitivity in an ice sheet model: A case study of the Amery Ice Shelf
title_full_unstemmed Exploring grid sensitivity in an ice sheet model: A case study of the Amery Ice Shelf
title_short Exploring grid sensitivity in an ice sheet model: A case study of the Amery Ice Shelf
title_sort exploring grid sensitivity in an ice sheet model a case study of the amery ice shelf
topic Ice sheet model
Grid sensitivity
Amery ice shelf
Numerical simulation
url http://www.sciencedirect.com/science/article/pii/S1674927824001783
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