Assimilation of surface pressure observations from personal weather stations in AROME-France

Demortier, Alan; Mandement, Marc; Pourret, Vivien; Caumont, Olivier

doi:https://doi.org/10.5194/nhess-24-907-2024

Articles | Volume 24, issue 3

https://doi.org/10.5194/nhess-24-907-2024

© Author(s) 2024. This work is distributed under
the Creative Commons Attribution 4.0 License.

https://doi.org/10.5194/nhess-24-907-2024

© Author(s) 2024. This work is distributed under
the Creative Commons Attribution 4.0 License.

Articles | Volume 24, issue 3

Research article

|

19 Mar 2024

Research article |

| 19 Mar 2024

Assimilation of surface pressure observations from personal weather stations in AROME-France

Alan Demortier, Marc Mandement, Vivien Pourret, and Olivier Caumont

Data sets

Animation mosaïque radar France métropole Météo-France https://donneespubliques.meteofrance.fr/?fond=produit&id_produit=98&id_rubrique=34

Observations du réseau sol de France Météo-France https://donneespubliques.meteofrance.fr/?fond=produit&id_produit=93&id_rubrique=32

Observations en mer (Messages SHIP, BUOY) Météo-France https://donneespubliques.meteofrance.fr/?fond=produit&id_produit=95&id_rubrique=32

Données de modèle AROME Météo-France https://donneespubliques.meteofrance.fr/?fond=produit&id_produit=131&id_rubrique=51

Short summary

Improvements in numerical weather prediction models make it possible to warn of hazardous weather situations. The incorporation of new observations from personal weather stations into the French limited-area model is evaluated. It leads to a significant improvement in the modelling of the surface pressure field up to 9 h ahead. Their incorporation improves the location and intensity of the heavy precipitation event that occurred in the South of France in September 2021.