Finite Volume Community Ocean Model-based Arctic Ocean Forecast System: A Comprehensive Assessment of Sea Ice Forecast Results without Data Assimilation ...

• Main Authors: Zhang, Yu, Zha, Yufan, Chen, Changsheng, Beardsley, Robert C., Wang, Deshuai, Xu, Qichun, Qi, Jianhua, Zuo, Juncheng, Xu, Danya
• Format: Dataset
• Language: unknown
• Published: Zenodo 2023
• Subjects: Arctic; Arctic Ocean; Sea ice
• Online Access: https://dx.doi.org/10.5281/zenodo.10212132; https://zenodo.org/doi/10.5281/zenodo.10212132

The dataset contains sea ice forecast results from the Finite Volume Community Ocean Model-based Arctic Ocean Forecast System (FVCOM-AOFS) for the period 2019-2020. The output result of the system is presented as daily mean values. Each netCDF file within the dataset includes the following variables: lon, lat, lonc, latc, aice, vice, uuice, and vvice. Specifically, the variables of lon and lat represent the longitude and latitude of the unstructured triangular grid. The variables of lonc and latc represent the longitude and latitude of the unstructured triangular cell. The variables of aice and vice indicate sea ice concentration and sea ice thickness. The variables of uuice and vvice indicate eastward and northward sea ice drift velocity. The scalars including aice and vice use lon and lat coordinates, and the vectors including uuice and vvice use lonc and latc coordinates. ...