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.# 数据集标题：《利用高分辨率海洋模拟量化巴伦支海水体转化过程》论文配套模型输出数据集 # 作者：Kawasaki, T.、Hasumi, H.、Kimura, N. # 联系邮箱：[e-mail] # DOI：10.5281/zenodo.19561651 # 发布日期：2026-04-14 ## 1. 数据集概况 本数据集为《利用高分辨率海洋模拟量化巴伦支海水体转化过程》研究中所使用的模型输出数据的子集。为保障数据可复现性与可管理性，原始模型结果已被处理为月均数据，并裁剪至研究区域（巴伦支海）范围。 ## 2. 文件信息 - 文件命名规则：yYYYY.h5（示例：y2000.h5、y2001.h5） - 文件格式：分层数据格式5（Hierarchical Data Format 5，HDF5，.h5） - 时间分辨率：月均尺度 - 时间覆盖范围：1990年至2020年 - 空间覆盖范围：巴伦支海 ## 3. 变量列表与单位 所有变量均以HDF5格式存储，包含的核心变量如下： - [to]：海水温度 [℃] - [so]：海水盐度 [实用盐度单位（psu）] - [uo, vo]：海流速度（X向、Y向）[厘米每秒（cm/s）] - [aig]：海冰覆盖率 [0-1] - [ui, vi]：海冰速度（X向、Y向）[厘米每秒（cm/s）] - [fw]：海面淡水通量 [厘米每秒（cm/s）] - [ft]：海面热通量 [℃·厘米每秒（degC·cm/s）] - [longitude]：经度 [东经度数（degree E）] - [latitude]：纬度 [北纬度数（degree N）] - [depth]：水深 [米（m）] ## 4. 数据处理说明 - 本数据集从全球海洋模式COCO中裁剪至上述指定坐标范围。 - 网格信息（经度、纬度、水深）存储于gridinfo.h5文件中。 ## 5. 使用方法 可通过Python的HDF5库（如h5py、xarray）、MATLAB或其他标准分析软件读取此类文件。Python示例代码如下： import xarray as xr ds = xr.open_dataset('filename.h5', group='/') ## 6. 使用条款 本数据集采用知识共享署名4.0国际许可协议（Creative Commons Attribution 4.0 International，CC BY 4.0）进行授权。使用本数据集时，请引用原始论文及本数据集的DOI编号。