A global gridded climatological dataset (BOA_CLM) with horizontal resolutions of 1°, 1/2°, 1/4°, 1/6°, 1/8° and 1/10° (Version 2.1)

The dataset is a global gridded climatological (long-term annual mean) temperature and salinity (T & S) dataset with ten ensembles, named BOA_CLM. This dataset has 80 vertical levels (from 5 dbar to 1950 dbar) and different horizontal resolutions, including 1°, 1/2°, 1/4°, 1/6°, 1/8° to 1/10°. It is generated from over 7.2 million historical T & S profiles collected from 1900-2024.The gridded BOA_CLM can be accessed from figshare in the form of NetCDF, and the Matlab script 'read_BOA_CLM_nc.m' can be used to read these files. Here the variables (T & S) include 8 ensembles. Such as, the 1° global gridded T & S is BOA_CLIM_TEO10_stable_global_1_1_Ensemble_**.nc, and the 1/10° gridded data is BOA_CLIM_TEO10_stable_global_1_10_Ensemble_**.nc, and they include：1.latitude: latitudes for T and S2.longitude: longitude for T and S3.pressure: depths (unit:dbar) for T and S4.Conservative_temperature: Conservative temperature (unit:°C) (dimension:latitude*longitude*depth)5.Absolute_salinity: Absolute salinity (unit: g/kg)(dimension:latitude*longitude*depth)Copyright and Disclaimer:1. Copyright belongs to Tianjin University, any unit, website or individual without authorization may not be reproduced, modified and used for commercial purposes; authorized units, websites, in the use of the need to be marked the 'data source: Tianjin Key Laboratory for Marine Environmental Research and Service, School of Marine Science and Technology, Tianjin University.2. This data set is developed by the School of Marine Science and Technology of Tianjin University for ocean scientific research, and the user will not be responsible for any problems in the process of using it.3. Please note that we are only providing eight T & S ensembles here due to storage limitations on Figshare. The remaining two T & S ensembles can be made available by emailing the author.E-mail: [e-mail] Li*, Guihua Wang, Fanghua Xu, Lijing Cheng, Junde Li, LinLin Zhang, Yuntao Wang, Wei Li, Haiqing Yu, Zenghong Liu, Zhijin Li (2025). Representation of western boundary currents under different climatologies with varying horizontal resolutions, Progress In Oceanography, Under Review.

本数据集为一款名为BOA_CLM的全球网格化气候态（长期年平均）温盐（温度与盐度，T&S）数据集，包含10个集合成员。该数据集设有80个垂直层，深度范围为5 dbar至1950 dbar，并具备多种水平分辨率，涵盖1°、1/2°、1/4°、1/6°、1/8°至1/10°。其数据源自1900年至2024年间收集的超过720万条历史温盐剖面资料。

Figshare平台提供该网格化BOA_CLM数据集的NetCDF格式下载，用户可通过Matlab脚本'read_BOA_CLM_nc.m'读取相关文件。本次提供的温盐集合成员共8组。例如，1°全球网格化温盐数据的文件命名格式为BOA_CLIM_TEO10_stable_global_1_1_Ensemble_**.nc，1/10°网格化数据的文件命名格式为BOA_CLIM_TEO10_stable_global_1_10_Ensemble_**.nc，其包含的变量如下：
1. 纬度（latitude）：温盐数据的纬度坐标
2. 经度（longitude）：温盐数据的经度坐标
3. 压力（pressure）：数据对应的深度，单位为dbar
4. 保守温度（Conservative_temperature）：单位为°C，维度为纬度×经度×深度
5. 绝对盐度（Absolute_salinity）：单位为g/kg，维度为纬度×经度×深度

版权与免责声明：
1. 本数据集版权归天津大学所有，任何未经授权的单位、网站或个人不得擅自复制、修改该数据集并用于商业用途；经授权的单位、网站在使用时需标注"数据来源：天津大学海洋科学与技术学院天津海洋环境研究与服务重点实验室"。
2. 本数据集由天津大学海洋科学与技术学院开发，仅用于海洋科学研究，使用者需自行承担使用过程中产生的所有问题责任。
3. 请注意，由于Figshare平台的存储限制，本次仅提供8组温盐集合成员。剩余2组温盐集合成员可通过邮件联系作者获取，邮箱：[e-mail]

参考文献：
Hong Li*、Guihua Wang、Fanghua Xu、Lijing Cheng、Junde Li、LinLin Zhang、Yuntao Wang、Wei Li、Haiqing Yu、Zenghong Liu、Zhijin Li（2025）。不同水平分辨率下气候态对西边界流的表征，《海洋学进展》（Progress In Oceanography），已投稿待审。