The Data and Codes for Training, Testing, and Prognostic Validation of A ResNet Ensemble for Moist Physics (ResCu-en)
Authors/Creators
- 1. Department of Earth System Science, Tsinghua University, Beijing, China
- 2. Scripps Institution of Oceanography, La Jolla, CA, USA
Description
Note: the monthly averaged NCAM, SPCAM, and CAM5 results are uploaded as *_h0.tar.gz!
The data and codes for Training, Testing, and Prognostic Validation of A ResNet Ensemble for Moist Physics (ResCu-en) are stored in this repositary.
This project is built on python3.7 and tensorflow-gpu2.3.0, and the scripts for analysis and plots are on jupyter-notebook.
Please make sure to install all python packages used in an environment.
Please read the ReadME-2.txt.
For the entire training and testing datasets in both the baseline and +4K SST climates. Please download them from Dryad (https://doi.org/10.6075/J0CZ35PP and https://doi.org/10.6075/J03J3BGF), Onedrive (https://1drv.ms/u/s!ArKTPPs6U_9DjxPJeSReKlbsLzyh?e=PDlWYJ), and Dropbox (https://www.dropbox.com/s/yc4fx35laqwt0fu/SPCAM_ML_4K.tar.gz?dl=0 and https://www.dropbox.com/s/4pxahzwt9v55u2m/SPCAM_ML_RAD.tar.gz?dl=0).
Files
ReadME-2.txt
Files
(48.8 GB)
| Name | Size | Download all |
|---|---|---|
|
md5:9610c1aa75b969c0ac3fe3bd176d5252
|
497.1 MB | Download |
|
md5:e039e517c53d28cfc5ddd43f8660e180
|
544.5 MB | Download |
|
md5:4e2958bb4e7bcade82610599754ff4ed
|
982.7 MB | Download |
|
md5:c3261f6358533b24409b12f07ad5ab40
|
3.6 kB | Preview Download |
|
md5:f67ff7125fc7649fb24adb9efccbc27b
|
22.2 GB | Download |
|
md5:45ac58dbfc90949d14b6f4784c48ca84
|
22.3 GB | Download |
|
md5:427fdcbbb3717c28289269a4cd8e3061
|
1.8 GB | Download |
|
md5:cbd77db093f5afcaa30245af9d676b98
|
471.0 MB | Download |