Imitation or identification: limitations of deep learning in extrapolating to future climate-carbon cycle change
A new frontier in Earth system modeling has emerged, with machine learning (ML) and deep learning (DL) holding great promise to overcome long-standing challenges in future climate change projections. Yet, a fundamental question persists: Can these DL models reliably extrapolate to unseen climatic co...
שמור ב:
| Principais autores: | , , , , , |
|---|---|
| פורמט: | Artigo |
| שפה: | Inglês |
| יצא לאור: |
IOP Publishing
2025-01-01
|
| סדרה: | Machine Learning. Earth |
| נושאים: | |
| גישה מקוונת: | https://doi.org/10.1088/3049-4753/ae2279 |
| תגים: |
אין תגיות, היה/י הראשונ/ה לתייג את הרשומה!
|