Show simple item record

dc.contributor.authorAtencia, Aitor
dc.contributor.authorZawadzki, Isztar
dc.contributor.authorBerenguer Ferrer, Marc
dc.contributor.otherUniversitat Politècnica de Catalunya. Departament d'Enginyeria Civil i Ambiental
dc.date.accessioned2017-10-17T13:44:08Z
dc.date.available2018-10-02T00:30:31Z
dc.date.issued2017-09
dc.identifier.citationAtencia, A., Zawadzki, I., Berenguer, M. Scale characterization and correction of diurnal cycle errors in MAPLE. "Journal of applied meteorology and climatology", Setembre 2017, vol. 56, núm. 9, p. 2561-2575.
dc.identifier.issn1558-8424
dc.identifier.urihttp://hdl.handle.net/2117/108756
dc.description.abstractThe most widely used technique for nowcasting of quantitative precipitation in operational and research centers is the Lagrangian extrapolation of the latest radar observations. However, this technique has a limited forecast skill because of the assumptionmade on its formulation, such as the fact that the motion vectors do not change and, evenmore important for convective events, neglect any growth or decay in the precipitation field. In this work, the McGill Algorithm for Precipitation Nowcasting by Lagrangian Extrapolation (MAPLE) errors have been computed for 10 yr of radar composite data over the continental United States. The study of these errors shows systematic bias depending on the time of day. This effect is related to the solar cycle, whose heating energy results in an increase in the average rainfall in the afternoon. This external forcing interacts with the atmospheric system, creating local initiation and dissipation of convection depending on orography, land use, cloud coverage, etc. The signal of the diurnal cycle inMAPLEprecipitation forecast has been studied in different locations and spatial scales as a function of lead time in order to recognize where, when, and for which spatial scales the signal is significant. This information has been used in the development of a scaling correction scheme where the mean errors due to the diurnal cycle are adjusted. The results show that the developed methodology improves the forecast for the spatial scales and locations where the diurnal cycle signal is significant.
dc.format.extent15 p.
dc.language.isoeng
dc.subjectÀrees temàtiques de la UPC::Enginyeria agroalimentària::Ciències de la terra i de la vida::Climatologia i meteorologia
dc.subject.lcshPrecipitation forecasting
dc.subject.otherAdaptive models
dc.subject.otherBias
dc.subject.otherError analysis
dc.subject.otherNowcasting
dc.subject.otherOptimization
dc.titleScale characterization and correction of diurnal cycle errors in MAPLE
dc.typeArticle
dc.subject.lemacPrecipitacions (Meteorologia) -- Teledetecció
dc.contributor.groupUniversitat Politècnica de Catalunya. CRAHI - Centre de Recerca Aplicada en Hidrometeorologia
dc.identifier.doi10.1175/JAMC-D-16-0344.1
dc.description.peerreviewedPeer Reviewed
dc.relation.publisherversionhttp://journals.ametsoc.org/doi/abs/10.1175/JAMC-D-16-0344.1
dc.rights.accessOpen Access
drac.iddocument21575923
dc.description.versionPostprint (published version)
upcommons.citation.authorAtencia, A., Zawadzki, I., Berenguer, M.
upcommons.citation.publishedtrue
upcommons.citation.publicationNameJournal of applied meteorology and climatology
upcommons.citation.volume56
upcommons.citation.number9
upcommons.citation.startingPage2561
upcommons.citation.endingPage2575


Files in this item

Thumbnail

This item appears in the following Collection(s)

Show simple item record

All rights reserved. This work is protected by the corresponding intellectual and industrial property rights. Without prejudice to any existing legal exemptions, reproduction, distribution, public communication or transformation of this work are prohibited without permission of the copyright holder