Assimilation of non-conventional data to improve model initialization for the study of severe weather events using the WRF and/or ICON numerical models.

Ente: Italian Ministry of Education, University and Research

Scadenza: 2026-08-31

Paese: IT

Descrizione

Weather forecasting, and in particular the forecasting of severe events, depends strongly on the quality of the initial conditions and on the physical complexity of the numerical models, especially over complex-terrain regions. The research aims to improve the initialization of the WRF and/or ICON...

Settori: Physics

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