Quantifying UAS Observation Error Variance Used in Data Assimilation Systems and Its Impact on Predictive Skill
Abstract Observation error determines the weights of the observations and background state used in data assimilation to generate analyses. Quantifying observation error is critical for the optimal assimilation of observational data sets. Uncrewed Aircraft System (UAS) observations have shown potenti...
Gardado en:
| Principais autores: | , , , |
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| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado: |
American Geophysical Union (AGU)
2025-09-01
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| Series: | Journal of Advances in Modeling Earth Systems |
| Assuntos: | |
| Acceso en liña: | https://doi.org/10.1029/2024MS004601 |
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