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

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.