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...
| 出版年: | Geophysical Research Letters |
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| 主要な著者: | , |
| フォーマット: | 論文 |
| 言語: | 英語 |
| 出版事項: |
Wiley
2019-08-01
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| 主題: | |
| オンライン･アクセス: | https://doi.org/10.1029/2019GL083855 |