Assessment of Arctic sea ice and surface climate conditions in nine CMIP6 climate models

• Published in: Arctic, Antarctic, and Alpine Research
• Main Authors: Martin Henke, Felício Cassalho, Tyler Miesse, Celso M. Ferreira, Jinlun Zhang, Thomas M. Ravens
• Format: Article in Journal/Newspaper
• Language: English
• Published: Taylor & Francis Group 2023
• Subjects: Climate model assessment; sea ice; Arctic; Environmental sciences; GE1-350; Ecology; QH540-549.5; Antarctic and Alpine Research; laptev; Laptev Sea; Sea ice
• Online Access: https://doi.org/10.1080/15230430.2023.2271592; https://doaj.org/article/20823ce620ef4cbfae285f9717f17f25

ABSTRACTThe observed retreat and anticipated further decline in Arctic sea ice holds strong climate, environmental, and societal implications. In predicting climate evolution, ensembles of coupled climate models have demonstrated appreciable accuracy in simulating sea-ice area trends throughout the historical period, yet individual climate models still show significant differences in accurately representing the sea-ice thickness distribution. To better understand individual model performance in sea-ice simulation, nine climate models were evaluated in comparison with Arctic satellite and reanalysis-derived sea-ice thickness data, sea-ice area records, and atmospheric reanalysis data of surface wind and air temperature. This assessment found that the simulated spatial distribution of historical sea-ice thickness varies greatly between models and that several key limitations persist among models. Primarily, most models do not capture the thickest regimes of multiyear ice present in the Wandel and Lincoln seas; those that do often possess erroneous positive bias in other regions such as the Laptev Sea or along the Eurasian Arctic Shelf. This analysis provides enhanced understanding of individual model historical simulation performance, which is critical in informing the selection of coupled climate model projections for dependent future modeling efforts.