SITool (v1.0) – a new evaluation tool for large-scale sea ice simulations: application to CMIP6 OMIP
The Sea Ice Evaluation Tool (SITool) described in this paper is a performance metrics and diagnostics tool developed to evaluate the skill of Arctic and Antarctic model reconstructions of sea ice concentration, extent, edge location, drift, thickness, and snow depth. It is a Python-based software an...
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ftdoajarticles:oai:doaj.org/article:0ccd6d2fca2f437ba4ab93e3de0d5185 2023-05-15T13:46:46+02:00 SITool (v1.0) – a new evaluation tool for large-scale sea ice simulations: application to CMIP6 OMIP X. Lin F. Massonnet T. Fichefet M. Vancoppenolle 2021-10-01T00:00:00Z https://doi.org/10.5194/gmd-14-6331-2021 https://doaj.org/article/0ccd6d2fca2f437ba4ab93e3de0d5185 EN eng Copernicus Publications https://gmd.copernicus.org/articles/14/6331/2021/gmd-14-6331-2021.pdf https://doaj.org/toc/1991-959X https://doaj.org/toc/1991-9603 doi:10.5194/gmd-14-6331-2021 1991-959X 1991-9603 https://doaj.org/article/0ccd6d2fca2f437ba4ab93e3de0d5185 Geoscientific Model Development, Vol 14, Pp 6331-6354 (2021) Geology QE1-996.5 article 2021 ftdoajarticles https://doi.org/10.5194/gmd-14-6331-2021 2022-12-31T08:01:18Z The Sea Ice Evaluation Tool (SITool) described in this paper is a performance metrics and diagnostics tool developed to evaluate the skill of Arctic and Antarctic model reconstructions of sea ice concentration, extent, edge location, drift, thickness, and snow depth. It is a Python-based software and consists of well-documented functions used to derive various sea ice metrics and diagnostics. Here, SITool version 1.0 (v1.0) is introduced and documented, and is then used to evaluate the performance of global sea ice reconstructions from nine models that provided sea ice output under the experimental protocols of the Coupled Model Intercomparison Project phase 6 (CMIP6) Ocean Model Intercomparison Project with two different atmospheric forcing datasets: the Coordinated Ocean-ice Reference Experiments version 2 (CORE-II) and the updated Japanese 55-year atmospheric reanalysis (JRA55-do). Two sets of observational references for the sea ice concentration, thickness, snow depth, and ice drift are systematically used to reflect the impact of observational uncertainty on model performance. Based on available model outputs and observational references, the ice concentration, extent, and edge location during 1980–2007, as well as the ice thickness, snow depth, and ice drift during 2003–2007 are evaluated. In general, model biases are larger than observational uncertainties, and model performance is primarily consistent compared to different observational references. By changing the atmospheric forcing from CORE-II to JRA55-do reanalysis data, the overall performance (mean state, interannual variability, and trend) of the simulated sea ice areal properties in both hemispheres, as well as the mean ice thickness simulation in the Antarctic, the mean snow depth, and ice drift simulations in both hemispheres are improved. The simulated sea ice areal properties are also improved in the model with higher spatial resolution. For the cross-metric analysis, there is no link between the performance in one variable and the ... Article in Journal/Newspaper Antarc* Antarctic Arctic Sea ice Directory of Open Access Journals: DOAJ Articles Arctic Antarctic The Antarctic Geoscientific Model Development 14 10 6331 6354 |
institution |
Open Polar |
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Directory of Open Access Journals: DOAJ Articles |
op_collection_id |
ftdoajarticles |
language |
English |
topic |
Geology QE1-996.5 |
spellingShingle |
Geology QE1-996.5 X. Lin F. Massonnet T. Fichefet M. Vancoppenolle SITool (v1.0) – a new evaluation tool for large-scale sea ice simulations: application to CMIP6 OMIP |
topic_facet |
Geology QE1-996.5 |
description |
The Sea Ice Evaluation Tool (SITool) described in this paper is a performance metrics and diagnostics tool developed to evaluate the skill of Arctic and Antarctic model reconstructions of sea ice concentration, extent, edge location, drift, thickness, and snow depth. It is a Python-based software and consists of well-documented functions used to derive various sea ice metrics and diagnostics. Here, SITool version 1.0 (v1.0) is introduced and documented, and is then used to evaluate the performance of global sea ice reconstructions from nine models that provided sea ice output under the experimental protocols of the Coupled Model Intercomparison Project phase 6 (CMIP6) Ocean Model Intercomparison Project with two different atmospheric forcing datasets: the Coordinated Ocean-ice Reference Experiments version 2 (CORE-II) and the updated Japanese 55-year atmospheric reanalysis (JRA55-do). Two sets of observational references for the sea ice concentration, thickness, snow depth, and ice drift are systematically used to reflect the impact of observational uncertainty on model performance. Based on available model outputs and observational references, the ice concentration, extent, and edge location during 1980–2007, as well as the ice thickness, snow depth, and ice drift during 2003–2007 are evaluated. In general, model biases are larger than observational uncertainties, and model performance is primarily consistent compared to different observational references. By changing the atmospheric forcing from CORE-II to JRA55-do reanalysis data, the overall performance (mean state, interannual variability, and trend) of the simulated sea ice areal properties in both hemispheres, as well as the mean ice thickness simulation in the Antarctic, the mean snow depth, and ice drift simulations in both hemispheres are improved. The simulated sea ice areal properties are also improved in the model with higher spatial resolution. For the cross-metric analysis, there is no link between the performance in one variable and the ... |
format |
Article in Journal/Newspaper |
author |
X. Lin F. Massonnet T. Fichefet M. Vancoppenolle |
author_facet |
X. Lin F. Massonnet T. Fichefet M. Vancoppenolle |
author_sort |
X. Lin |
title |
SITool (v1.0) – a new evaluation tool for large-scale sea ice simulations: application to CMIP6 OMIP |
title_short |
SITool (v1.0) – a new evaluation tool for large-scale sea ice simulations: application to CMIP6 OMIP |
title_full |
SITool (v1.0) – a new evaluation tool for large-scale sea ice simulations: application to CMIP6 OMIP |
title_fullStr |
SITool (v1.0) – a new evaluation tool for large-scale sea ice simulations: application to CMIP6 OMIP |
title_full_unstemmed |
SITool (v1.0) – a new evaluation tool for large-scale sea ice simulations: application to CMIP6 OMIP |
title_sort |
sitool (v1.0) – a new evaluation tool for large-scale sea ice simulations: application to cmip6 omip |
publisher |
Copernicus Publications |
publishDate |
2021 |
url |
https://doi.org/10.5194/gmd-14-6331-2021 https://doaj.org/article/0ccd6d2fca2f437ba4ab93e3de0d5185 |
geographic |
Arctic Antarctic The Antarctic |
geographic_facet |
Arctic Antarctic The Antarctic |
genre |
Antarc* Antarctic Arctic Sea ice |
genre_facet |
Antarc* Antarctic Arctic Sea ice |
op_source |
Geoscientific Model Development, Vol 14, Pp 6331-6354 (2021) |
op_relation |
https://gmd.copernicus.org/articles/14/6331/2021/gmd-14-6331-2021.pdf https://doaj.org/toc/1991-959X https://doaj.org/toc/1991-9603 doi:10.5194/gmd-14-6331-2021 1991-959X 1991-9603 https://doaj.org/article/0ccd6d2fca2f437ba4ab93e3de0d5185 |
op_doi |
https://doi.org/10.5194/gmd-14-6331-2021 |
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Geoscientific Model Development |
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