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dc.contributor.author | López Reyes, M | |
dc.contributor.author | González Alemán, Juan Jesús | |
dc.contributor.author | Sastre Marugán, Mariano | |
dc.contributor.author | Insua Costa, D | |
dc.contributor.author | Bolgiani, Pedro | |
dc.contributor.author | Martín Pérez, María Luisa | |
dc.date.accessioned | 2023-09-18T09:01:43Z | |
dc.date.available | 2023-09-18T09:01:43Z | |
dc.date.issued | 2023 | |
dc.identifier.citation | Atmospheric Research, 2023, vol. 295, 107020 | es |
dc.identifier.issn | 0169-8095 | es |
dc.identifier.uri | https://uvadoc.uva.es/handle/10324/61608 | |
dc.description | Producción Científica | es |
dc.description.abstract | Hurricane Leslie (2018) was a non-tropical system that lasted for a long time undergoing several transitions between tropical and extratropical states. Its trajectory was highly uncertain and difficult to predict. Here the extratropical transition of Leslie is simulated using the Model for Prediction Across Scales (MPAS) with two different sets of initial conditions (IC): the operational analysis of the Integrate Forecast System (IFS) and the Global Forecast System (GFS). Discrepancies in Leslie position are found in the IC patterns, and in the intensity and amplitude of the dorsal-trough system in which Leslie is found. Differences are identified both in the geopotential height at 300 hPa and the geopotential thickness. Potential temperature in the dynamic tropopause shows a broader, more intense trough displaced western when using the IC-IFS. The IC-IFS simulation shows lesser trajectory errors but wind speed overestimation than the IC-GFS one. The complex situation of the extratropical transition, where Leslie interacts with a trough, increases the uncertainty associated with the intensification process. The disparities observed in the simulations are attributed to inaccuracies in generating the ICs. Both ICs generate different atmospheric configurations when propagated in time. Results suggest that during an extratropical transition in a highly baroclinic atmosphere, the IFS model's data assimilation method produced a more precise analysis than GFS due to the greater number of observations assimilated by the IFS, the greater spatial resolution of the model and the continuous adjustment of the simulations with the field of observations. | es |
dc.format.mimetype | application/pdf | es |
dc.language.iso | eng | es |
dc.publisher | Elsevier | es |
dc.rights.accessRights | info:eu-repo/semantics/openAccess | es |
dc.rights.uri | http://creativecommons.org/licenses/by-nc/4.0/ | * |
dc.subject | Meteorología | es |
dc.subject | Climatología | es |
dc.subject.classification | Extratropical transition | es |
dc.subject.classification | Hurricane Leslie | es |
dc.subject.classification | Initial conditions | es |
dc.subject.classification | Transición extratropical | es |
dc.subject.classification | Huracán leslie | es |
dc.subject.classification | Condiciones iniciales | es |
dc.title | On the impact of initial conditions in the forecast of Hurricane Leslie extratropical transition | es |
dc.type | info:eu-repo/semantics/article | es |
dc.rights.holder | © 2023 The Authors | es |
dc.identifier.doi | 10.1016/j.atmosres.2023.107020 | es |
dc.relation.publisherversion | https://www.sciencedirect.com/science/article/pii/S0169809523004179?via%3Dihub | es |
dc.identifier.publicationfirstpage | 107020 | es |
dc.identifier.publicationtitle | Atmospheric Research | es |
dc.identifier.publicationvolume | 295 | es |
dc.peerreviewed | SI | es |
dc.description.project | Ministerio de Ciencia e Innovación- AEI (PID2019-105306RB-I00) | |
dc.rights | Atribución-NoComercial 4.0 Internacional | * |
dc.type.hasVersion | info:eu-repo/semantics/publishedVersion | es |
dc.subject.unesco | 2509 Meteorología | es |
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