Published June 20, 2025
| Version v2025.6.0
Software
Open
Deep learning and variational inversion to quantify and attribute climate change (Jupyter Notebook) published in the Environmental Data Science book
- 1. University of Göttingen
- 2. University of Cambridge
Description
Notebook developed to demonstrate the computational reproduction of the paper Detection and attribution of climate change: A deep learning and variational approach, published in Environmental Data Science journal.
Notes
Please cite the following works when using this project.
Files
eds-book/93463cac-471a-469d-ad52-0514fd9b67f2-v2025.6.0.zip
Files
(1.3 MB)
| Name | Size | Download all |
|---|---|---|
|
md5:897d89a6013a1de9998666f34df585bc
|
1.3 MB | Preview Download |
Additional details
Related works
- Is supplement to
- Software: https://github.com/eds-book/93463cac-471a-469d-ad52-0514fd9b67f2/tree/v2025.6.0 (URL)