Please use this identifier to cite or link to this item:
Title: Radar data assimilation impact over nowcasting a mesoscale convective system in Catalonia using the WRF model
Author: Cáceres León, Richard Humberto
Codina, Bernat
Keywords: Models matemàtics
Previsió del temps
Mathematical models
Weather forecasting
Issue Date: Dec-2018
Publisher: Associació Catalana de Meteorologia (ACAM)
Abstract: This study uses the Weather Research and Forecasting model (WRF) and the three-dimensional variational data assimilation system (WRF 3DVAR), in cold and warm starts, with the aimof finding out an appropriate nowcasting method that would have improved the forecast of precipitation maxima in the mesoscale convective system that occurred in Catalonia (NE Spain)on March 21, 2012 at 20 UTC. We assimilated radar data using different configurations, qualitatively verifying the increase of rainwater produced by the assimilation of reflectivity. While in cold starts the best result was obtained with a length scale of 0.75, in warm startsit was necessary to use a length scale of 0.25. We got better results in all cases when radar data assimilation was used, and although one of the cold starts achieved the best result and correctly located precipitation maxima, the forecast amount was still lower than the observations.
Note: Reproducció del document publicat a:
It is part of: Tethys: Journal of Mediterranean Meteorology & Climatology, 2018, num. 15, p. 3-17
Related resource:
ISSN: 1697-1523
Appears in Collections:Articles publicats en revistes (Física Aplicada)

Files in This Item:
File Description SizeFormat 
679953.pdf4.48 MBAdobe PDFView/Open

This item is licensed under a Creative Commons License Creative Commons