Please use this identifier to cite or link to this item: http://hdl.handle.net/10553/77153
DC FieldValueLanguage
dc.contributor.authorSuárez Molina, Daviden_US
dc.contributor.authorFernandez-Gonzalez, Sergioen_US
dc.contributor.authorMontero, Gustavoen_US
dc.contributor.authorOliver, Alberten_US
dc.contributor.authorSuarez Gonzalez, Juan Carlosen_US
dc.date.accessioned2021-01-14T14:00:19Z-
dc.date.available2021-01-14T14:00:19Z-
dc.date.issued2021en_US
dc.identifier.issn0169-8095en_US
dc.identifier.otherWoS-
dc.identifier.urihttp://hdl.handle.net/10553/77153-
dc.description.abstractCanary Islands and other regions have been greatly damaged by weather events during the last decades. For this reason, the main duty of National Meteorological Services is to minimize socio-economic losses by forecasting adverse weather episodes with enough time in advance. To achieve this goal, the use of numerical weather prediction models is highly relevant. And, even more crucial, is to comprehend the model accuracy.In this paper, an exhaustive sensitivity analysis of the Weather Research and Forecasting (WRF) model over the Canary Islands has been carried out. The complex terrain of the archipelago makes the islands a test bench of high interest. Four scores were used to assess the accuracy of the model configurations: Bias, mean absolute error (MAE), root of the Mean Squared Error (RMSE), and the correlation coefficient (r). Initially, twenty-five WRF model configurations were considered. However, a preliminary test discarded inadequate configurations, and reduced the number to six. The variables of interest were air temperature at 2 m (T2m), maximum 1-h wind gust at 10 m and 3-h rainfall accumulation. The results indicated a systematic wind speed underestimation. This underestimation is related to the influence of the location and the complex orography. The most accurate wind forecasts were obtained using the Mellor-Yamada-Janjic Planetary Boudary Layer (PBL) scheme with the WSM6 microphysics (MP) scheme. Another major conclusion is that, for precipitation, the PBL scheme has a greater impact than the MP scheme. Finally, the results show that the Boulac - Thompson combination is the most accurate regarding T2m forecast.en_US
dc.languageengen_US
dc.relation.ispartofAtmospheric Researchen_US
dc.sourceAtmospheric Research [ISSN 0169-8095], v. 247, (Enero 2021)en_US
dc.subject1206 Análisis numéricoen_US
dc.subject250909 Predicción numérica meteorológicaen_US
dc.subject.otherWRFen_US
dc.subject.otherSensitivity analysisen_US
dc.subject.otherComplex terrainen_US
dc.subject.otherPblen_US
dc.subject.otherMicrophysicsen_US
dc.subject.otherCanary Islandsen_US
dc.titleSensitivity analysis of the WRF model: assessment of performance in high resolution simulations in complex terrain in the Canary Islandsen_US
dc.typeinfo:eu-repo/semantics/Articleen_US
dc.typeArticleen_US
dc.identifier.doi10.1016/j.atmosres.2020.105157en_US
dc.identifier.isi000586020600017-
dc.identifier.eissn1873-2895-
dc.relation.volume247en_US
dc.investigacionIngeniería y Arquitecturaen_US
dc.type2Artículoen_US
dc.contributor.daisngid42275994-
dc.contributor.daisngid42270653-
dc.contributor.daisngid6236969-
dc.contributor.daisngid4484055-
dc.contributor.daisngid35811413-
dc.description.numberofpages18en_US
dc.utils.revisionen_US
dc.contributor.wosstandardWOS:Suarez-Molina, D-
dc.contributor.wosstandardWOS:Fernandez-Gonzalez, S-
dc.contributor.wosstandardWOS:Montero, G-
dc.contributor.wosstandardWOS:Oliver, A-
dc.contributor.wosstandardWOS:Gonzalez, JCS-
dc.date.coverdateEnero 2021en_US
dc.identifier.ulpgcen_US
dc.contributor.buulpgcBU-INFen_US
dc.description.sjr1,488
dc.description.jcr5,369
dc.description.sjrqQ1
dc.description.jcrqQ1
dc.description.scieSCIE
dc.description.miaricds11,0
item.grantfulltextnone-
item.fulltextSin texto completo-
crisitem.author.deptGIR SIANI: Modelización y Simulación Computacional-
crisitem.author.deptIU Sistemas Inteligentes y Aplicaciones Numéricas-
crisitem.author.deptDepartamento de Matemáticas-
crisitem.author.deptGIR SIANI: Modelización y Simulación Computacional-
crisitem.author.deptIU Sistemas Inteligentes y Aplicaciones Numéricas-
crisitem.author.deptDepartamento de Matemáticas-
crisitem.author.orcid0000-0001-5641-442X-
crisitem.author.orcid0000-0002-3783-8670-
crisitem.author.parentorgIU Sistemas Inteligentes y Aplicaciones Numéricas-
crisitem.author.parentorgIU Sistemas Inteligentes y Aplicaciones Numéricas-
crisitem.author.fullNameSuárez Molina, David-
crisitem.author.fullNameMontero García, Gustavo-
crisitem.author.fullNameOliver Serra, Albert-
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