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Potential of shipborne GPS atmospheric delay data for prediction of Mediterranean intense weather events
Abstract : High spatial and temporal variability of mesoscale moisture fields is still a challenge for quantitative precipitation forecast within numerical weather prediction (NWP) models especially over ocean regions where observations are lacking. This study presents the comparison between integrated water vapor over the Mediterranean Sea determined from shipborne GPS, the NWP ALADIN/Météo-France model and MODIS retrieval during a 4-month campaign (autumn 2008). While moisture prediction of the NWP remains accurate during most of the observation period, there are significant periods with offsets between GPS data and model predictions. We analyze such events and discuss the associated meteorological situation.
Littérature citée [19 références]
https://hal.umontpellier.fr/hal-02884103
Contributeur : Cedric Champollion Connectez-vous pour contacter le contributeur
Soumis le : lundi 29 juin 2020 - 16:27:13
Dernière modification le : mardi 17 mai 2022 - 13:36:03
Contributeur : Cedric Champollion Connectez-vous pour contacter le contributeur
Soumis le : lundi 29 juin 2020 - 16:27:13
Dernière modification le : mardi 17 mai 2022 - 13:36:03
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