Statistical Post-Processing with Standardized Anomalies Based on a 1 km Gridded Analysis
Statistical post-processing is necessary to correct systematic errors of numerical weather prediction models, especially in complex terrains such as the Alps. However, this post-processing is usually applied on every grid point individually, which can be computationally expensive. We want to present...
| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Borntraeger
2020-10-01
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| Series: | Meteorologische Zeitschrift |
| Subjects: | |
| Online Access: | http://dx.doi.org/10.1127/metz/2020/1022 |