Model error in weather forecasting
Operational forecasting is hampered both by the rapid divergence of nearby initial conditions and by error in the underlying model. Interest in chaos has fuelled much work on the first of these two issues; this paper focuses on the second. A new approach to quantifying state-dependent model erro...
| 主要な著者: | , , , |
|---|---|
| フォーマット: | 論文 |
| 言語: | English |
| 出版事項: |
Copernicus Publications
2001-01-01
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| シリーズ: | Nonlinear Processes in Geophysics |
| オンライン･アクセス: | http://www.nonlin-processes-geophys.net/8/357/2001/npg-8-357-2001.pdf |