The Signal‐to‐Noise Paradox for Interannual Surface Atmospheric Temperature Predictions
Abstract The “signal‐to‐noise paradox” implies that climate models are better at predicting observations than themselves. Here, it is shown that this apparent paradox is expected when the relative level of predicted signal is weaker in models than in observations. In the presence of model error, the...
| Published in: | Geophysical Research Letters |
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| Main Authors: | , |
| Format: | Article |
| Language: | English |
| Published: |
Wiley
2019-08-01
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| Subjects: | |
| Online Access: | https://doi.org/10.1029/2019GL083855 |