A Non‐Intrusive Machine Learning Framework for Debiasing Long‐Time Coarse Resolution Climate Simulations and Quantifying Rare Events Statistics
Due to the rapidly changing climate, the frequency and severity of extreme weather is expected to increase over the coming decades. As fully‐resolved climate simulations remain computationally intractable, policy makers must rely on coarse‐models to quantify risk for extremes. However, coarse models...
| Main Authors: | , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
American Geophysical Union
2024
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| Subjects: | |
| Online Access: | https://hdl.handle.net/1721.1/154212 |