| タイトル | Singular Vectors for Moisture-Measuring Norms |
| 著者（英） | Ehrendorfer, Martin; Raeder, Kevin; Errico, Ronald M. |
| 著者所属（英） | NASA Goddard Space Flight Center |
| 発行日 | 2002-01-01 |
| 言語 | eng |
| 内容記述 | In dynamic meteorology, singular vectors (SVs) are the structures that maximize a given norm of a forecast perturbation given a tangent linear model and a quadratic constraint on the initial perturbation. That constraint is a prescription of the value of either the same or a different norm applied to the initial perturbations. In the sense that SVs maximize the forecast perturbations according to a specified measure, they may be considered as optimal perturbations. SVs are used to characterize predictability, to identify and correct possible initial errors given forecast errors, to create a set of significant perturbations for ensemble forecasting, or to determine locations for observation targeting. They are a specific application of generally defined singular vectors in mathematics. |
| NASA分類 | Meteorology and Climatology |
| 権利 | Copyright, Distribution as joint owner in the copyright |
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