Investigación
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Investigación contiene los documentos generados por los docentes e investigadores de la Universidad en su labor de investigación. Este depósito tiene como objetivos el almacenamiento, la gestión, la preservación y la difusión de estos documentos, y pretende contribuir al aumento de la visibilidad del trabajo desarrollado por los miembros de la comunidad universitaria.
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Browsing Investigación by browse.metadata.subjectods "Objetivo 11: Ciudades y comunidades sostenibles"
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- PublicationOpen AccessContribution of fine particulate matter to present and future premature mortality over Europe: A non-linear response(Elsevier, 2021-03-08) Tarín Carrasco, Patricia; Im, Ulas; Geels, Camilla; Palacios Peña, Laura; Jiménez Guerrero, Pedro; Física
- PublicationOpen AccessOn the spin-up period in WRF simulations over Europe: trade-offs between length and seasonality(Wiley / American Geophysical Union, 2020-02-20) Jerez Rodríguez, Sonia; López Romero, José María; Turco, Marco; Lorente Plazas, Raquel; Gómez Navarro, Juan José; Jiménez Guerrero, Pedro; Montávez, Juan Pedro; Física; Facultades de la UMU::Facultad de Química; Facultades de la UMU::Facultad de BiologíaRegional climate models (RCMs) are usually initialized and driven through the boundaries of their limited area domain by data provided by global models (GCMs). The mismatch between the low-resolution GCM initial conditions and RCM’s high resolution introduces physical inconsistencies between the various components of the RCM. These inconsistencies can be resolved by running the RCM during a period that is considered unreliable: the spin-up period. There is no deterministic definition of the length that the spin-up period should have. Here we try to provide general guidelines that can be used to the advantage of the community. We base our analysis on Weather Research and Forecasting (WRF) simulations over a Euro-Cordex compliant domain and find that for 2-m temperature and precipitation, rather short spin-up periods (1 week) can be sufficient. Nevertheless, longer periods (6 months) are advisable, and start dates in non-winter months should be pursued, as this ensures a more realistic representation of the snow cover. Thus, the issue is not only about the spin-up length. As the soil subsystem evolves slowly and requires longer periods to reach equilibrium than the longest considered here (1 year), seasonality plays an important role in minimizing the impact of the unreliability of the soil initialization. Fortunately, except for goals where the deep soil-atmosphere feedbacks are critical, the lack of equilibrium between them can be ignored, as it seems to have little effect on the simulation of the atmospheric variables most frequently used in RCM studies.
- PublicationOpen AccessSensitivity of atmospheric rivers to aerosol treatment in regional climate simulations: insights from the AIRA identification algorithm(Copernicus Publications [Commercial Publisher], 2024-02-19) Raluy López, Eloisa; Montávez, Juan Pedro; Jiménez Guerrero, Pedro; FísicaThis study analyzed the sensitivity of atmospheric rivers (ARs) to aerosol treatment in regional climate simulations. Three experiments covering the Iberian Peninsula for the period from 1991 to 2010 were examined: (1) an experiment including prescribed aerosols (BASE); (2) an experiment including direct and semi-direct aerosol effects (ARI); and (3) an experiment including direct, semi-direct, and indirect aerosol effects (ARCI). A new regional-scale AR identification algorithm, AIRA, was developed and used to identify around 250 ARs in each experiment. The results showed that spring and autumn ARs were the most frequent, intense, and long-lasting and that ARs could explain up to 30 % of the total accumulated precipitation. The inclusion of aerosols was found to redistribute precipitation, with increases in the areas of AR occurrence. The analysis of common AR events showed that the differences between simulations were minimal in the most intense cases and that a negative correlation existed between mean direction and mean latitude differences. This implies that more zonal ARs in ARI or ARCI with respect to BASE could also be linked to northward deviations. The joint analysis and classification of dust and sea salt aerosol distributions allowed for the common events to be clustered into eight main aerosol configurations in ARI and ARCI. The sensitivity of ARs to different aerosol treatments was observed to be relevant, inducing spatial deviations and integrated water vapor transport (IVT) magnitude reinforcements/attenuations with respect to the BASE simulation depending on the aerosol configuration. Thus, the correct inclusion of aerosol effects is important for the simulation of AR behavior at both global and regional scales, which is essential for meteorological predictions and climate change projections.