Projection of sea ice conditions in the Canadian Arctic Archipelago based on CMIP6 assessments

The Canadian Arctic Archipelago (CAA) includes the critical region of the Northwest Passage (NWP) and is one of the areas with the most severe sea ice conditions in the Arctic. Currently, studies on sea ice projections focusing on the CAA are limited. Furthermore, the prediction results for the CAA from different models based on the Coupled Model Intercomparison Project Phase 6 (CMIP6) exhibit uncertainty due to the inter-model spread. This study evaluated the projected data for sea ice concentration (SIC) and thickness (SIT) within the CAA from 14 CMIP6 models for the period 2015–2022 under the SSP2-4.5 scenario based on the satellite and reanalysis data. Although most models can capture the major characteristics of spatiotemporal variations in SIC and SIT within the CAA, there are considerable numerical differences compared to observations and reanalysis. Additionally, there is a notable spread among 14 CMIP6 models. The assessment of SIC indicates that CESM2, GFDL-CM4, IPSL-CM6A-LR, and UKESM1-0-LL exhibit better performance, with a relatively low bias (less than 7%), a root mean square error (RMSE) below 22%, and a relatively high correlation coefficient (CC) exceeding 0.75. In the evaluation of SIT, the four best-performing models are GFDL-CM4, MPI-ESM1-2-HR, MPI-ESM1-2-LR, and MRI-ESM2-0. The multi-model ensemble of the best performance group (MMM BPG ) projects a declining trend in both sea ice area (SIA) and SIT for the CAA from 2025 to 2100, with respective trends of −0.21 × 10 5 km 2 per decade and −0.06 m per decade under the SSP2-4.5 scenario, and −0.56 × 10 5 km 2 per decade and −0.11 m per decade under the SSP5-8.5 scenario. Under both scenarios, the MMM BPG predicts a more notable reduction of sea ice in the NWP compared to the multi-model ensemble of all 14 models. Navigable conditions for the northern and southern routes are defined by SIA and SIT respectively, with each route’s SIA being less than 5% of its total area and the mean SIT being below 0.15 m. Based on the SIA threshold, under the SSP2-4.5 and SSP5-8.5 scenarios, MMM BPG projects that continuous annual navigability in the NWP, with at least three navigable months per year, will be achieved starting in 2060 and 2054, respectively. According to the SIT threshold, the MMM BPG projects that it will reach continuous annual navigability with at least one navigable month per year under both scenarios, starting in 2038 and 2036, respectively. This study enhances the understanding of CMIP6 model performance in projecting sea ice within the CAA and provides insights into future sea ice conditions in the region.

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Journal
Advances in Climate Change Research
Published
2025-03-08
DOI
https://doi.org/10.1016/j.accre.2025.02.008
Primary Topic
Arctic and Antarctic ice dynamics
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article
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article

Projection of sea ice conditions in the Canadian Arctic Archipelago based on CMIP6 assessments

Deshuai Wang, Weizeng Shao, Yujing Liang, Yu Zhang et al.
Advances in Climate Change Research
Arctic and Antarctic ice dynamics
article

Projection of sea ice conditions in the Canadian Arctic Archipelago based on CMIP6 assessments

Deshuai Wang, Weizeng Shao, Yujing Liang, Yu Zhang, Changsheng Chen, Hailong Guo, Yi Zhou
article en

Abstract

The Canadian Arctic Archipelago (CAA) includes the critical region of the Northwest Passage (NWP) and is one of the areas with the most severe sea ice conditions in the Arctic. Currently, studies on sea ice projections focusing on the CAA are limited. Furthermore, the prediction results for the CAA from different models based on the Coupled Model Intercomparison Project Phase 6 (CMIP6) exhibit uncertainty due to the inter-model spread. This study evaluated the projected data for sea ice concentration (SIC) and thickness (SIT) within the CAA from 14 CMIP6 models for the period 2015–2022 under the SSP2-4.5 scenario based on the satellite and reanalysis data. Although most models can capture the major characteristics of spatiotemporal variations in SIC and SIT within the CAA, there are considerable numerical differences compared to observations and reanalysis. Additionally, there is a notable spread among 14 CMIP6 models. The assessment of SIC indicates that CESM2, GFDL-CM4, IPSL-CM6A-LR, and UKESM1-0-LL exhibit better performance, with a relatively low bias (less than 7%), a root mean square error (RMSE) below 22%, and a relatively high correlation coefficient (CC) exceeding 0.75. In the evaluation of SIT, the four best-performing models are GFDL-CM4, MPI-ESM1-2-HR, MPI-ESM1-2-LR, and MRI-ESM2-0. The multi-model ensemble of the best performance group (MMM BPG ) projects a declining trend in both sea ice area (SIA) and SIT for the CAA from 2025 to 2100, with respective trends of −0.21 × 10 5 km 2 per decade and −0.06 m per decade under the SSP2-4.5 scenario, and −0.56 × 10 5 km 2 per decade and −0.11 m per decade under the SSP5-8.5 scenario. Under both scenarios, the MMM BPG predicts a more notable reduction of sea ice in the NWP compared to the multi-model ensemble of all 14 models. Navigable conditions for the northern and southern routes are defined by SIA and SIT respectively, with each route’s SIA being less than 5% of its total area and the mean SIT being below 0.15 m. Based on the SIA threshold, under the SSP2-4.5 and SSP5-8.5 scenarios, MMM BPG projects that continuous annual navigability in the NWP, with at least three navigable months per year, will be achieved starting in 2060 and 2054, respectively. According to the SIT threshold, the MMM BPG projects that it will reach continuous annual navigability with at least one navigable month per year under both scenarios, starting in 2038 and 2036, respectively. This study enhances the understanding of CMIP6 model performance in projecting sea ice within the CAA and provides insights into future sea ice conditions in the region.

Advances in Climate Change ResearchVol. 16(3)
University of Massachusetts Dartmouth (US), University of Maryland Center for Environmental Science (US), National University of Defense Technology (CN), Shanghai Jiao Tong University (CN), Shanghai Ocean University (CN)
Life below water
Openalex Percentile: Top 96%
Arctic and Antarctic ice dynamics
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