Our OPEN dataset was cited by IPCC's Sixth Assessment Report (AR6), among the direct estimations of global OHC!! Check it out in P502 and P627 of the full report!!
Cheers!!
Ocean Projection and Extension neural Network (OPEN) by Dr. Wenfang Lu, Sun Yat-sen University (:e-mail:luwf6@sysu.edu.cn), and colleagues. Please feel free to contact 😏!
The code is for pre-processing, training, testing, and visualization of OPEN-OHC dataset. The work was published in Remote Sensing (:book:Su et al, 2020, RS).
With a neural network method, the OPEN estimates OHC anomalies over four different depths down to 2000 m covering the near-global ocean, excluding the polar regions, from remote sensing-based products (SSH,SST,and Winds) to Argo-gridded OHC as training data.
<-download image for better visulization->
- Several links to our data are provided:
Google Drive | Baidu Cloud with extraction code o4qy | Global OHC in .txt format (see above OPENv1.1.1.txt)
Science Data Bank for NetCDF files.
- If any data downloaded, please let me know by email. These help in scientific communication and improvement of our data.
- Main: Main of Main
- DataFetching: For downloading some of the data used
- Preprocessing: Read data, structure
- Utilities: Some tools
- Data: Argo data that structured
- Visualization
Major contributers of this study are:
Mr Haojie Zhang, Gratudate student in Fuzhou University (https://github.com/fzu-zhj)
Dr Hua Su, Fuzhou University (suhua@fzu.edu.cn)
Dr Xiao-Hai Yan, University of Delaware (xiaohai@udel.edu, website)
Ms Tian Qin, Gratudate student in Fuzhou University
Dr Xupu Geng, Xiamen University (gengxp@xmu.edu.cn)