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February 14, 2026RENDICONTI LINCEI

Assimilation of anisotropic GNSS observations in the WRF model: preliminary results of the NEW-ARGENT project

Rosa Claudia Torcasio Eugenio Realini Mattia Crespi Stefano Federico

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Key Points

Enhanced assimilation of GNSS observations improves meteorological predictions, highlighting a significant advancement.
The analysis reveals improvements in predictive accuracy, with GNSS data leading to more reliable weather forecasting.
This observational analysis employs GNSS observations in conjunction with the WRF model to refine weather predictions.
These findings suggest potential benefits for operational weather forecasting, warranting further investigation of GNSS data integration.

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Implication

Observational analysis demonstrates improved meteorological predictions using GNSS data in the WRF model, suggesting enhanced accuracy.

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Cite This Study

Torcasio et al. (2026) studied this question.

synapsesocial.com/papers/69a76118c6e9836116a2eaf2 https://doi.org/10.1007/s12210-025-01399-1

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