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dc.contributor.authorBazo, Elena
dc.contributor.authorGranados Muñoz, María José 
dc.contributor.authorRomán, Roberto
dc.contributor.authorBravo Aranda, Juan Antonio 
dc.contributor.authorCazorla Cabrera, Alberto 
dc.contributor.authorValenzuela Gutiérrez, Antonio 
dc.contributor.authorGonzález, Ramiro
dc.contributor.authorOlmo Reyes, Francisco José 
dc.contributor.authorAlados Arboledas, Lucas 
dc.date.accessioned2023-11-14T09:38:50Z
dc.date.available2023-11-14T09:38:50Z
dc.date.issued2023
dc.identifier.urihttps://hdl.handle.net/10481/85654
dc.description.abstractThe aerosol radiative effect (ARE) is one of the atmospheric components still affected by large uncertainty. One of the causes is related to the fact that the longwave (LW) component is usually neglected, even though it is necessary for an accurate quantification of the ARE together with the shortwave component (SW). In this study we have developed a methodology based on the GAME (Global Atmospheric Model) radiative transfer model (RTM) that allows to obtain the radiative effect of the atmospheric aerosol for both spectral ranges in an automated way. The microphysical and optical properties necessary to feed the RTM have been obtained through the GRASP (Generalized Retrieval of Aerosol and Surface Properties) algorithm, with the combination of ceilometer and sun-sky photometer data. Data measured in Granada (Spain) during 2017 have been used for the evaluation and implementation of this methodology. According to the results, the ARE in the SW spectral range (ARESW) varies between 0 and -50 Wm-2 for most of the data, whereas the ARE in the LW range (ARELW) varies between 0 and 5 Wm-2, at heights near the surface. In general, the obtained results agree with those found in the literature, with negative values in the SW range (cooling effect) and positive values in the LW (heating effect). The seasonal analysis shows that, for both components, the ARE is more important during the spring and summer seasons, when the aerosol load is greater, as expected. The analysis of the aerosol heating rate (AHR) shows positive values in the SW and negative values in the LW range. The majority of the AHRSW data varies between 0 and 1 Kd-1 during the year whereas the AHRLW does it between 0 and -0.15 Kd-1. The seasonal analysis of the AHR shows that the greater monthly average values are found during spring, however there is not much variability along the year, with the exception of February, under the effects of an extreme dust intrusion. The mineral dust particles in this event cause an ARESW of -130 Wm-2 and an ARELW of 23 Wm-2 (ARELW/ARESW = 17%), thus pointing out that the LW component should not be neglected for coarse mode particles. Additionally, it is observed that the vertical distribution of the aerosol layers strongly influences the ARE and the AHR obtained profiles, affecting the way the atmospheric cooling/heating occurs in the vertical coordinate.es_ES
dc.description.sponsorshipPID2020-120015RB-100es_ES
dc.description.sponsorshipP20-00136es_ES
dc.description.sponsorshipP18-RT-3820es_ES
dc.description.sponsorshipACTRIS-IMPes_ES
dc.description.sponsorshipScientific Unit of Excellence: Earth System (UCE-PP2017-02)es_ES
dc.language.isoenges_ES
dc.publisherElsevieres_ES
dc.rightsCreative Commons Attribution-NonCommercial-NoDerivs 3.0 Licenseen_EN
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/3.0/en_EN
dc.subjectAerosol radiative propertieses_ES
dc.subjectLongwave radiative effectes_ES
dc.subjectGRASPes_ES
dc.subjectGAMEes_ES
dc.subjectSun-sky photometeres_ES
dc.subjectCeilometeres_ES
dc.titleEvaluation of the vertically-resolved aerosol radiative effect on shortwave and longwave ranges using sun-sky photometer and ceilometer measurementses_ES
dc.typejournal articlees_ES
dc.rights.accessRightsopen accesses_ES
dc.identifier.doihttps://doi.org/10.1016/j.atmosres.2022.106517
dc.type.hasVersionAMes_ES


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