Model Output for the paper titled "Quantifying Water Transformation in the Barents Sea Using a High-Resolution Ocean Simulation"

# Dataset Title: Model Output for the paper titled "Quantifying Water Transformation in the Barents Sea Using a High-Resolution Ocean Simulation"# Author(s): Kawasaki, T., Hasumi, H., Kimura, N.# Contact: [e-mail]# DOI: 10.5281/zenodo.19561651# Date: 2026-04-14 ## 1. DescriptionThis dataset contains a subset of the model output used in the study titled "Quantifying Water Transformation in the Barents Sea Using a High-Resolution Oc\ean Simulation". To ensure data reproducibility and manageability, the original model results have been processed into monthly means and subsetted to focus\ on the study area (the Barents Sea). ## 2. File Information- File Name Pattern: yYYYY.h5 (e.g., y2000.h5, y2001.h5)- File Format: HDF5 (.h5)- Temporal Resolution: Monthly averages- Temporal Coverage: 1990 to 2020- Spatial Coverage: the Barents Sea ## 3. Variable List and UnitsAll variables are stored in HDF5 format. Key variables included are:- [to]: Ocean Temperature [degC]- [so]: Salinity [psu]- [uo, vo]: Ocean Velocity (X-ward, Y-ward) [cm/s]- [aig]: Sea Ice Concentration [0-1]- [ui, vi]: Sea Ice Velocity (X-ward, Y-ward) [cm/s]- [fw]: Sea surface freshwater flux [cm/s]- [ft]: Sea surface heat flux [degC cm/s]- [longitude]: Longitude [degree E]- [latitude]: Latitude [degree N]- [depth]: depth [m] ## 4. Data Processing Notes- The data were subsetted from the global model COCO to the specific coordinates mentioned above.- grid infomation (longitude, latitude, depth) is included in gridinfo.h5. ## 5. UsageThese files can be read using HDF5 libraries in Python (h5py, xarray), MATLAB, or other standard analysis software. For example, in Python: import xarray as xr ds = xr.open_dataset('filename.h5', group='/') ## 6. Terms of UseThis dataset is provided under the Creative Commons Attribution 4.0 International (CC BY 4.0) license. Please cite the original paper and this DOI when usi\ng these data.