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dc.contributor.authorSolano-Farias, Feliciano
dc.contributor.authorGarcía Valdecasas Ojeda, Matilde María del Valle 
dc.contributor.authorDonaire-Montaño, David
dc.contributor.authorRosa-Cánovas, Juan José
dc.contributor.authorCastro Díez, Yolanda 
dc.contributor.authorEsteban Parra, María Jesús 
dc.contributor.authorGámiz Fortís, Sonia Raquel 
dc.date.accessioned2024-01-31T08:16:04Z
dc.date.available2024-01-31T08:16:04Z
dc.date.issued2023-12-13
dc.identifier.urihttps://hdl.handle.net/10481/87709
dc.description.abstractConvection-permitting models (CPMs) enable the representation of meteorological variables at horizontal high-resolution spatial scales (≤ 4 km), where convection plays a significant role. In this regard, physical schemes need to be evaluated considering factors in the studied region such as orography and climate variability. This study investigates the sensitivity of the Weather Research and Forecasting (WRF) model as CPM to the use of different physics schemes on Andalusia, a complex orography region in the southern part of the Iberian Peninsula (IP). To do that, a set of 1-year WRF simulations was completed based on two “one-way” nested domains: the parent domain (d01) spanning the entire IP with 5 km spatial resolution and the nested domain (d02) for the region of Andalusia at 1 km of spatial resolution. 12 physic schemes were examined from combinations of microphysics (MP) schemes including THOMPSON, WRF single moment 6-class (WSM6), and WRF single moment 7-class (WSM7), and different options for the convection in d01, the Grell 3D (G3), Grell-Freitas (GF), Kain-Fritsch (KF), and deactivated cumulus parameterization (OFF). The simulated precipitation and 2-m temperature for the year 2018, characterized to be a very wet year, were compared with observational datasets from different sources to determine the optimal WRF configuration, including point-to-point and station-point comparisons at different time aggregations (from annual to hourly). In general, greater differences were shown when comparing the results of convection schemes in d01. Simulations completed with GF or OFF presented better performance compared to the reference datasets. Concerning the MP, although THOMPSON showed a better fit in high mountain areas, it generally presents a worse agreement with the reference datasets. In terms of temperature, the results were very similar and, therefore, the selection of the “best” configuration was based mainly on the precipitation results with the WSM7-GF scheme being suitable for Andalusia region.es_ES
dc.description.sponsorshipThe authors would like to thank the anonymous reviewers for their help in improving the work. F. Solano Farías acknowledges the Mexican National Defense Secretary for the predoctoral fellowship. This research has been carried out in the framework of the projects PID2021-126401OB-I00, funded by MCIN/AEI/10.13039/501100011033/FEDER Una manera de hacer Europa, P20_00035 funded by FEDER/Junta de Andalucía-Consejería de Transformación Económica, Industria, Conocimiento y Universidades; and LifeWatch-2019-10-UGR-01 co-funded by the Ministry of Science and Innovation through the FEDER funds from the Spanish Pluriregional Operational Program 2014–2020 (POPE) LifeWatch-ERIC action line.Funding for open access charge was provided by Universidad de Granada/CBUA.es_ES
dc.language.isoenges_ES
dc.rightsAttribution-NonCommercial-NoDerivatives 4.0 Internacional*
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/*
dc.subjectConvection-permitting modelses_ES
dc.subjectWeather research and forecasting modeles_ES
dc.subjectSouthern Iberian Peninsulaes_ES
dc.subjectSensitivity analysises_ES
dc.subjectExtreme precipitationes_ES
dc.subjectTemperature es_ES
dc.titleAssessment of physical schemes for WRF model in convection-permitting mode over southern Iberian Peninsulaes_ES
dc.typejournal articlees_ES
dc.rights.accessRightsopen accesses_ES
dc.identifier.doihttps://doi.org/10.1016/j.atmosres.2023.107175
dc.type.hasVersionVoRes_ES


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Attribution-NonCommercial-NoDerivatives 4.0 Internacional
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