Por favor, use este identificador para citar o enlazar este ítem: http://hdl.handle.net/20.500.11765/15831
Use of CAMS near Real-Time Aerosols in the HARMONIE-AROME NWP Model
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dc.contributor.authorMartín Pérez, Danieles_ES
dc.contributor.authorGleeson, Emilyes_ES
dc.contributor.authorMaalampi, Panues_ES
dc.contributor.authorRontu, Lauraes_ES
dc.date.accessioned2024-05-13T07:44:41Z-
dc.date.available2024-05-13T07:44:41Z-
dc.date.issued2024-
dc.identifier.citationMeteorology. 2024, 3(2), p. 161-190es_ES
dc.identifier.issn2674-0494-
dc.identifier.urihttp://hdl.handle.net/20.500.11765/15831-
dc.description.abstractNear real-time aerosol fields from the Copernicus Atmospheric Monitoring Services (CAMS), operated by the European Centre for Medium-Range Weather Forecasts (ECMWF), are configured for use in the HARMONIE-AROME Numerical Weather Prediction model. Aerosol mass mixing ratios from CAMS are introduced in the model through the first guess and lateral boundary conditions and are advected by the model dynamics. The cloud droplet number concentration is obtained from the aerosol fields and used by the microphysics and radiation schemes in the model. The results show an improvement in radiation, especially during desert dust events (differences of nearly 100 W/m2 are obtained). There is also a change in precipitation patterns, with an increase in precipitation, mainly during heavy precipitation events. A reduction in spurious fog is also found. In addition, the use of the CAMS near real-time aerosols results in an improvement in global shortwave radiation forecasts when the clouds are thick due to an improved estimation of the cloud droplet number concentration.es_ES
dc.language.isoenges_ES
dc.publisherMDPIes_ES
dc.rightsLicencia CC: Reconocimiento CC BYes_ES
dc.subjectNear real-time aerosolses_ES
dc.subjectCAMSes_ES
dc.subjectNWPes_ES
dc.subjectRadiationes_ES
dc.subjectMicrophysicses_ES
dc.titleUse of CAMS near Real-Time Aerosols in the HARMONIE-AROME NWP Modeles_ES
dc.typeinfo:eu-repo/semantics/articlees_ES
dc.relation.publisherversionhttps://doi.org/10.3390/meteorology3020008es_ES
dc.rights.accessRightsinfo:eu-repo/semantics/openAccesses_ES
Colecciones: Artículos científicos 2023-2026


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