Machine Learning Enables Real‐Time Proactive Quality Control: A Proof‐Of‐Concept Study
Abstract To improve the forecast accuracy of numerical weather prediction, it is essential to obtain better initial conditions by combining simulations and available observations via data assimilation. It has been known that a part of observations degrade the forecast accuracy. Detecting and discard...
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| Main Authors: | T. Honda, A. Yamazaki |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Wiley
2024-03-01
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| Series: | Geophysical Research Letters |
| Subjects: | |
| Online Access: | https://doi.org/10.1029/2023GL107938 |
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