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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Published in:Geoscientific Model Development
Main Authors: Lin, Xia, Massonnet, François, Fichefet, Thierry, Vancoppenolle, Martin
Format: Text
Language:English
Published: 2021
Subjects:
Online Access:https://doi.org/10.5194/gmd-14-6331-2021
https://gmd.copernicus.org/articles/14/6331/2021/
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spelling ftcopernicus:oai:publications.copernicus.org:gmd93789 2023-05-15T14:02:17+02:00 SITool (v1.0) – a new evaluation tool for large-scale sea ice simulations: application to CMIP6 OMIP Lin, Xia Massonnet, François Fichefet, Thierry Vancoppenolle, Martin 2021-10-21 application/pdf https://doi.org/10.5194/gmd-14-6331-2021 https://gmd.copernicus.org/articles/14/6331/2021/ eng eng doi:10.5194/gmd-14-6331-2021 https://gmd.copernicus.org/articles/14/6331/2021/ eISSN: 1991-9603 Text 2021 ftcopernicus https://doi.org/10.5194/gmd-14-6331-2021 2021-10-25T16:22:29Z 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 performance in another. SITool is an open-access version-controlled software that can run on a wide range of CMIP6-compliant sea ice outputs. The current version of SITool (v1.0) is primarily developed to evaluate atmosphere-forced simulations and it could be eventually extended to fully coupled models. Text Antarc* Antarctic Arctic Sea ice Copernicus Publications: E-Journals Antarctic Arctic The Antarctic Geoscientific Model Development 14 10 6331 6354
institution Open Polar
collection Copernicus Publications: E-Journals
op_collection_id ftcopernicus
language English
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 performance in another. SITool is an open-access version-controlled software that can run on a wide range of CMIP6-compliant sea ice outputs. The current version of SITool (v1.0) is primarily developed to evaluate atmosphere-forced simulations and it could be eventually extended to fully coupled models.
format Text
author Lin, Xia
Massonnet, François
Fichefet, Thierry
Vancoppenolle, Martin
spellingShingle Lin, Xia
Massonnet, François
Fichefet, Thierry
Vancoppenolle, Martin
SITool (v1.0) – a new evaluation tool for large-scale sea ice simulations: application to CMIP6 OMIP
author_facet Lin, Xia
Massonnet, François
Fichefet, Thierry
Vancoppenolle, Martin
author_sort Lin, Xia
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
publishDate 2021
url https://doi.org/10.5194/gmd-14-6331-2021
https://gmd.copernicus.org/articles/14/6331/2021/
geographic Antarctic
Arctic
The Antarctic
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Arctic
The Antarctic
genre Antarc*
Antarctic
Arctic
Sea ice
genre_facet Antarc*
Antarctic
Arctic
Sea ice
op_source eISSN: 1991-9603
op_relation doi:10.5194/gmd-14-6331-2021
https://gmd.copernicus.org/articles/14/6331/2021/
op_doi https://doi.org/10.5194/gmd-14-6331-2021
container_title Geoscientific Model Development
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