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Advances in Science and Research The open-access proceedings of the European Meteorological Society (EMS)

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Adv. Sci. Res., 13, 137-144, 2016
http://www.adv-sci-res.net/13/137/2016/
doi:10.5194/asr-13-137-2016
© Author(s) 2016. This work is distributed
under the Creative Commons Attribution 3.0 License.
 
19 Aug 2016
Study of NWP parameterizations on extreme precipitation events over Basque Country
Iván R. Gelpi1,2, Santiago Gaztelumendi1,2, Sheila Carreño1,2, Roberto Hernández1,2, and Joseba Egaña1,2 1Basque Meteorology Agency (EUSKALMET), Parque tecnológico de Álava, Avda. Einstein 44 Ed. 6 Of. 303, 01510 Miñano, Álava, Spain
2TECNALIA, Meteorology Area, Parque tecnológico de Álava, Avda. Albert Einstein 28, 01510 Miñano, Álava, Spain
Abstract. The Weather Research and Forecasting model (WRF), like other numerical models, can make use of several parameterization schemes. The purpose of this study is to determine how available cumulus parameterization (CP) and microphysics (MP) schemes in the WRF model simulate extreme precipitation events in the Basque Country. Possible combinations among two CP schemes (Kain–Fritsch and Betts–Miller–Janjic) and five MP (WSM3, Lin, WSM6, new Thompson and WDM6) schemes were tested. A set of simulations, corresponding to 21st century extreme precipitation events that have caused significant flood episodes have been compared with point observational data coming from the Basque Country Automatic Weather Station Mesonetwork.

Configurations with Kain–Fritsch CP scheme produce better quantity of precipitation forecast (QPF) than BMJ scheme configurations. Depending on the severity level and the river basin analysed different MP schemes show the best behaviours, demonstrating that there is not a unique configuration that solve exactly all the studied events.


Citation: Gelpi, I. R., Gaztelumendi, S., Carreño, S., Hernández, R., and Egaña, J.: Study of NWP parameterizations on extreme precipitation events over Basque Country, Adv. Sci. Res., 13, 137-144, doi:10.5194/asr-13-137-2016, 2016.
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