Impact of Sea‐Ice Model Complexity on the Performance of an Unstructured‐Mesh Sea‐Ice/Ocean Model under Different Atmospheric Forcings

Abstract We have equipped the unstructured‐mesh global sea‐ice and ocean model FESOM2 with a set of physical parameterizations derived from the single‐column sea‐ice model Icepack. The update has substantially broadened the range of physical processes that can be represented by the model. The new fe...

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Autores principales: Lorenzo Zampieri, Frank Kauker, Jörg Fröhle, Hiroshi Sumata, Elizabeth C. Hunke, Helge F. Goessling
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Publicado: American Geophysical Union (AGU) 2021
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spelling oai:doaj.org-article:f27672604e9d4268a21a6309e1118e892021-11-24T08:11:41ZImpact of Sea‐Ice Model Complexity on the Performance of an Unstructured‐Mesh Sea‐Ice/Ocean Model under Different Atmospheric Forcings1942-246610.1029/2020MS002438https://doaj.org/article/f27672604e9d4268a21a6309e1118e892021-05-01T00:00:00Zhttps://doi.org/10.1029/2020MS002438https://doaj.org/toc/1942-2466Abstract We have equipped the unstructured‐mesh global sea‐ice and ocean model FESOM2 with a set of physical parameterizations derived from the single‐column sea‐ice model Icepack. The update has substantially broadened the range of physical processes that can be represented by the model. The new features are directly implemented on the unstructured FESOM2 mesh, and thereby benefit from the flexibility that comes with it in terms of spatial resolution. A subset of the parameter space of three model configurations, with increasing complexity, has been calibrated with an iterative Green's function optimization method to test the impact of the model update on the sea‐ice representation. Furthermore, to explore the sensitivity of the results to different atmospheric forcings, each model configuration was calibrated separately for the NCEP‐CFSR/CFSv2 and ERA5 forcings. The results suggest that a complex model formulation leads to a better agreement between modeled and the observed sea‐ice concentration and snow thickness, while differences are smaller for sea‐ice thickness and drift speed. However, the choice of the atmospheric forcing also impacts the agreement of the FESOM2 simulations and observations, with NCEP‐CFSR/CFSv2 being particularly beneficial for the simulated sea‐ice concentration and ERA5 for sea‐ice drift speed. In this respect, our results indicate that parameter calibration can better compensate for differences among atmospheric forcings in a simpler model (i.e., sea‐ice has no heat capacity) than in more realistic formulations with a prognostic sea‐ice thickness distribution and sea ice enthalpy.Lorenzo ZampieriFrank KaukerJörg FröhleHiroshi SumataElizabeth C. HunkeHelge F. GoesslingAmerican Geophysical Union (AGU)articleArcticFESOM2Green's functionparameter optimizationsea iceunstructured meshPhysical geographyGB3-5030OceanographyGC1-1581ENJournal of Advances in Modeling Earth Systems, Vol 13, Iss 5, Pp n/a-n/a (2021)
institution DOAJ
collection DOAJ
language EN
topic Arctic
FESOM2
Green's function
parameter optimization
sea ice
unstructured mesh
Physical geography
GB3-5030
Oceanography
GC1-1581
spellingShingle Arctic
FESOM2
Green's function
parameter optimization
sea ice
unstructured mesh
Physical geography
GB3-5030
Oceanography
GC1-1581
Lorenzo Zampieri
Frank Kauker
Jörg Fröhle
Hiroshi Sumata
Elizabeth C. Hunke
Helge F. Goessling
Impact of Sea‐Ice Model Complexity on the Performance of an Unstructured‐Mesh Sea‐Ice/Ocean Model under Different Atmospheric Forcings
description Abstract We have equipped the unstructured‐mesh global sea‐ice and ocean model FESOM2 with a set of physical parameterizations derived from the single‐column sea‐ice model Icepack. The update has substantially broadened the range of physical processes that can be represented by the model. The new features are directly implemented on the unstructured FESOM2 mesh, and thereby benefit from the flexibility that comes with it in terms of spatial resolution. A subset of the parameter space of three model configurations, with increasing complexity, has been calibrated with an iterative Green's function optimization method to test the impact of the model update on the sea‐ice representation. Furthermore, to explore the sensitivity of the results to different atmospheric forcings, each model configuration was calibrated separately for the NCEP‐CFSR/CFSv2 and ERA5 forcings. The results suggest that a complex model formulation leads to a better agreement between modeled and the observed sea‐ice concentration and snow thickness, while differences are smaller for sea‐ice thickness and drift speed. However, the choice of the atmospheric forcing also impacts the agreement of the FESOM2 simulations and observations, with NCEP‐CFSR/CFSv2 being particularly beneficial for the simulated sea‐ice concentration and ERA5 for sea‐ice drift speed. In this respect, our results indicate that parameter calibration can better compensate for differences among atmospheric forcings in a simpler model (i.e., sea‐ice has no heat capacity) than in more realistic formulations with a prognostic sea‐ice thickness distribution and sea ice enthalpy.
format article
author Lorenzo Zampieri
Frank Kauker
Jörg Fröhle
Hiroshi Sumata
Elizabeth C. Hunke
Helge F. Goessling
author_facet Lorenzo Zampieri
Frank Kauker
Jörg Fröhle
Hiroshi Sumata
Elizabeth C. Hunke
Helge F. Goessling
author_sort Lorenzo Zampieri
title Impact of Sea‐Ice Model Complexity on the Performance of an Unstructured‐Mesh Sea‐Ice/Ocean Model under Different Atmospheric Forcings
title_short Impact of Sea‐Ice Model Complexity on the Performance of an Unstructured‐Mesh Sea‐Ice/Ocean Model under Different Atmospheric Forcings
title_full Impact of Sea‐Ice Model Complexity on the Performance of an Unstructured‐Mesh Sea‐Ice/Ocean Model under Different Atmospheric Forcings
title_fullStr Impact of Sea‐Ice Model Complexity on the Performance of an Unstructured‐Mesh Sea‐Ice/Ocean Model under Different Atmospheric Forcings
title_full_unstemmed Impact of Sea‐Ice Model Complexity on the Performance of an Unstructured‐Mesh Sea‐Ice/Ocean Model under Different Atmospheric Forcings
title_sort impact of sea‐ice model complexity on the performance of an unstructured‐mesh sea‐ice/ocean model under different atmospheric forcings
publisher American Geophysical Union (AGU)
publishDate 2021
url https://doaj.org/article/f27672604e9d4268a21a6309e1118e89
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