Impact of increased resolution on Arctic Ocean simulations in Ocean Model Intercomparison Project phase 2 (OMIP-2)

• Main Authors: Wang, Qiang, Shu, Qi, Bozec, Alexandra, Chassignet, Eric P., Fogli, Pier Giuseppe, Fox-Kemper, Baylor, Hogg, Andy McC., Iovino, Doroteaciro, Kiss, Andrew E., Koldunov, Nikolay, Le Sommer, Julien, Li, Yiwen, Lin, Pengfei, Liu, Hailong, Polyakov, Igor, Scholz, Patrick, Sidorenko, Dmitry, Wang, Shizhu, Xu, Xiaobiao
• Other Authors: Ilmatieteen laitos, Finnish Meteorological Institute
• Format: Article in Journal/Newspaper
• Language: English
• Published: Copernicus Publications 2025
• Subjects: simulation; modelling (representation); models (objects); Arctic Ocean; mathematical models; simulointi; mallintaminen; Pohjoinen jäämeri; matemaattiset mallit; Arctic
• Online Access: http://hdl.handle.net/10138/591195

This study evaluates the impact of increasing resolution on Arctic Ocean simulations using five pairs of matched low- and high-resolution models within the OMIP-2 (Ocean Model Intercomparison Project phase 2) framework. The primary objective is to assess whether a higher resolution can mitigate typical biases in low-resolution models and improve the representation of key climate-relevant variables. We reveal that increasing the horizontal resolution contributes to a reduction in biases in mean temperature and salinity and improves the simulation of the Atlantic water layer and its decadal warming events. A higher resolution also leads to better agreement with observed surface mixed-layer depth, cold halocline base depth and Arctic gateway transports in the Fram and Davis straits. However, the simulation of the mean state and temporal changes in Arctic freshwater content does not show improvement with increased resolution. Not all models achieve improvements for all analyzed ocean variables when spatial resolution is increased so it is crucial to recognize that model numerics and parameterizations also play an important role in faithful simulations. Overall, a higher resolution shows promise in improving the simulation of key Arctic Ocean features and processes, but efforts in model development are required to achieve more accurate representations across all climate-relevant variables.