Assimilation of ground-based GNSS data using a local ensemble Kalman filter
Abstract Tropical cyclones become increasingly nonlinear and dynamically unstable in high-resolution models. The initial conditions are typically sub-optimal, leaving scope to improve the accuracy of forecasts with improved data assimilation. Simultaneously, the lack of real ground-based GNSS observ...
| Hoofdauteurs: | , |
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| Formaat: | Artikel |
| Taal: | English |
| Gepubliceerd in: |
Nature Portfolio
2024-09-01
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| Reeks: | Scientific Reports |
| Onderwerpen: | |
| Online toegang: | https://doi.org/10.1038/s41598-024-72915-w |