Excited to share our new publication on applying explainable machine learning techniques for the detection and attribution of climate variables (like temperature/precipitation) to different future scenarios.

+ Broader Overview https://zacklabe.com/climate-signals-and-explainable-ai/
+ #OpenAccess Study https://doi.org/10.1029/2024JH000327

#OpenScience #ClimateChange #DataViz #MachingLearning #Python

Research on Climate Signals and Explainable AI

By applying nonlinear neural networks and explainable machine learning methods (e.g., layer-wise relevance propagation or integrated gradients), we aim to disentangle forced climate patterns from i…

Zachary Labe