Characterization of Spread in a Mesoscale Ensemble Prediction System: Multiphysics versus Initial Conditions

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...

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Main Authors: Sergio Fernández-González, Mariano Sastre, Francisco Valero, Andrés Merino, Eduardo García-Ortega, José Luis Sánchez, Jesús Lorenzana, María Luisa Martín
Format: Article
Language:English
Published: Borntraeger 2019-03-01
Series:Meteorologische Zeitschrift
Subjects:
Online Access:http://dx.doi.org/10.1127/metz/2018/0918
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spelling doaj-3c8b3782454d408791daa9d98c6839402020-11-24T21:39:09ZengBorntraegerMeteorologische Zeitschrift0941-29482019-03-01281596710.1127/metz/2018/091890146Characterization of Spread in a Mesoscale Ensemble Prediction System: Multiphysics versus Initial ConditionsSergio Fernández-GonzálezMariano SastreFrancisco ValeroAndrés MerinoEduardo García-OrtegaJosé Luis SánchezJesús LorenzanaMaría Luisa MartínIn 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.http://dx.doi.org/10.1127/metz/2018/0918windphysical parameterizationsinitial conditionsuncertainty
collection DOAJ
language English
format Article
sources DOAJ
author Sergio Fernández-González
Mariano Sastre
Francisco Valero
Andrés Merino
Eduardo García-Ortega
José Luis Sánchez
Jesús Lorenzana
María Luisa Martín
spellingShingle Sergio Fernández-González
Mariano Sastre
Francisco Valero
Andrés Merino
Eduardo García-Ortega
José Luis Sánchez
Jesús Lorenzana
María Luisa Martín
Characterization of Spread in a Mesoscale Ensemble Prediction System: Multiphysics versus Initial Conditions
Meteorologische Zeitschrift
wind
physical parameterizations
initial conditions
uncertainty
author_facet Sergio Fernández-González
Mariano Sastre
Francisco Valero
Andrés Merino
Eduardo García-Ortega
José Luis Sánchez
Jesús Lorenzana
María Luisa Martín
author_sort Sergio Fernández-González
title Characterization of Spread in a Mesoscale Ensemble Prediction System: Multiphysics versus Initial Conditions
title_short Characterization of Spread in a Mesoscale Ensemble Prediction System: Multiphysics versus Initial Conditions
title_full Characterization of Spread in a Mesoscale Ensemble Prediction System: Multiphysics versus Initial Conditions
title_fullStr Characterization of Spread in a Mesoscale Ensemble Prediction System: Multiphysics versus Initial Conditions
title_full_unstemmed Characterization of Spread in a Mesoscale Ensemble Prediction System: Multiphysics versus Initial Conditions
title_sort characterization of spread in a mesoscale ensemble prediction system: multiphysics versus initial conditions
publisher Borntraeger
series Meteorologische Zeitschrift
issn 0941-2948
publishDate 2019-03-01
description 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.
topic wind
physical parameterizations
initial conditions
uncertainty
url http://dx.doi.org/10.1127/metz/2018/0918
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