Please use this identifier to cite or link to this item: http://hdl.handle.net/20.500.11765/10154
Characterization of spread in a mesoscale ensemble prediction system: multiphysics versus initial conditions
Title: Characterization of spread in a mesoscale ensemble prediction system: multiphysics versus initial conditions
Authors: Fernández-González, Sergio ORCID RESEARCHERID SCOPUSID Autor AEMETSastre, MarianoValero Rodríguez, FranciscoMerino Suances, AndrésGarcía Ortega, EduardoSánchez Gómez, José LuisLorenzana, JesúsMartín Pérez, María Luisa
Keywords: Wind; Physical parameterizations; Initial conditions; Uncertainty
Issue Date: 2019
Publisher: Schweizerbart science publishers
Citation: Meteorologische Zeitschrift. 2019, 28(1), p. 59-67
Publisher version: https://dx.doi.org/10.1127/metz/2018/0918
Abstract: In this research, uncertainty associated with initial and boundary conditions is evaluated for short-term wind speed prediction in complex terrain. The study area is the Alaiz mountain range, a windy region in the northern Iberian Peninsula. A multiphysics and multiple initial and boundary condition ensemble prediction system (EPS) was generated using the Weather Research and Forecasting model. Uncertainty of the EPS is analyzed using an index based on the spread between ensemble members, considering its behavior under different wind speed and direction events, and also during distinct atmospheric stability conditions. The results corroborate that physical parameterization uncertainty is greater for short-term forecasts (63.5%). However, it is also necessary to consider the uncertainty associated with initial conditions, not only for its quantitative importance (36.5%) but also for its behavior during thermal inversion conditions in the narrow valleys surrounded by mountains.
Sponsorship : This work was partially supported by research projects METEORISK (RTC-2014-1872-5), PCIN-2014-013-C07-04 and PCIN2016-080 (UE ERA-NET Plus NEWA Project), ESP2013 47816-C4-4-P, CGL2010-15930, CGL2016-78702-C2-1-R and CGL2016-78702-C2-2-R, CGL2016-81828-REDT, and the Instituto de Matemática Interdisciplinar (IMI) of the Universidad Complutense.
URI: http://hdl.handle.net/20.500.11765/10154
ISSN: 0941-2948
1610-1227
Appears in Collections:Artículos científicos 2019-2021


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