Modeling pan-Arctic seasonal and interannual landfast sea ice thickness and snow depth between 1979 and 2021 ...

• Main Authors: Wang, Zihan, Zhao, Jiechen, Cheng, Bin, Hui, Fengming, Su, Jie, Cheng, Xiao
• Format: Text
• Language: unknown
• Published: Taylor & Francis 2024
• Subjects: Environmental Sciences not elsewhere classified; Ecology; FOS Biological sciences; Biological Sciences not elsewhere classified; Climate change; Sea ice
• Online Access: https://dx.doi.org/10.6084/m9.figshare.26309888; https://tandf.figshare.com/articles/journal_contribution/Modeling_pan-Arctic_seasonal_and_interannual_landfast_sea_ice_thickness_and_snow_depth_between_1979_and_2021/26309888

Landfast sea ice (LFSI) is sensitive to local climate change, making it an important component of the cryosphere system. In this study, the LFSI around the pan-Arctic domain was simulated from 1979 to 2021 using a well-validated snow and ice thermodynamic model (HIGHTSI) under the framework of the Fast Ice Prediction System (FIPS), forced by the ERA5 reanalysis. The simulation results agree well with the in-situ observations in the Canadian Arctic, with a mean error of −0.06 ± 0.29 m for ice thickness and −0.04 ± 0.12 m for snow depth. A decrease of −2.8 ± 0.4 cm/10a in thickness and −16.2 ± 1.5 km 3 /a in volume for the Arctic LFSI was modeled during this period. There was significant spatial variability among the different domains, with the fastest decline found in the Vilkitsky Strait. The modeled snow depth shows large interannual and spatial variations, which was confirmed by other modeling results. The spatiotemporal variations in both air temperature and precipitation are the driving factors for the ...