Improving weather forecast skill through reduced precision data assimilation
A new approach for improving the accuracy of data assimilation, by trading numerical precision for ensemble size, is introduced. Data assimilation is inherently uncertain due to the use of noisy observations and imperfect models. Thus, the larger rounding errors incurred from reducing precision may...
| Main Authors: | , , , |
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| Format: | Journal article |
| Published: |
American Meteorological Society
2017
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