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Assessment of Three Dynamical Urban Climate Downscaling Methods

dc.contributor.authorHamdi, R.
dc.contributor.authorVan de Vyver,H.
dc.contributor.authorDe Troch,R.
dc.contributor.authorTermonia, P.
dc.contributor.authorDelcloo, A.
dc.coverage.temporal2014
dc.date2014
dc.date.accessioned2016-03-07T16:17:15Z
dc.date.accessioned2021-12-09T09:54:58Z
dc.date.available2016-03-07T16:17:15Z
dc.date.available2021-12-09T09:54:58Z
dc.identifier.urihttps://orfeo.belnet.be/handle/internal/9023
dc.descriptionA new high-resolution dynamical downscaling strategy to examine how rural and urban areas respond to change in future climate, is presented. The regional climate simulations have been performed with a new version of the limited-area model of the ARPEGE-IFS system running at 4-km resolution coupled with the Town Energy Balance scheme (TEB). In order to downscale further the regional climate projections to a urban scale, at 1 km resolution, a stand-alone surface scheme is employed in offline mode. We performed downscaling simulations according to three model set-ups: (i) reference run, where TEB is not activated neither in 4-km simulations nor in 1-km urban simulation, (ii) offline run, where TEB is activated only for 1-km urban simulation and (iii) inline run, where TEB is activated both for regional and urban simulations. The applicability of this method is demonstrated for Brussels Capital Region, Belgium. For present climate conditions, another set of simulations were performed using European Center for Medium-Range Weather Forecasts global reanalysis ERA40 data. Results from our simulations indicate that the reference and offline runs have comparable values of daytime and nocturnal urban heat island (UHI) and lower values than the inline run. The inline values are closer to observations. In the future climate, under and A1B emission scenario, the three downscaling methods project a decrease of daytime UHI between −0.24 and −0.20 °C, however, their responses are different for nocturnal UHI: (i) reference run values remains unaltered, (ii) for the offline runs, the frequency of present climate weak nocturnal UHI decreases to the benefit of negative UHIs leading to a significant decrease in the nocturnal UHI over the city, (iii) for the inline run, nocturnal UHIs stays always positive but the frequency of the strong UHI decreases significantly in the future by 1 °C.
dc.languageeng
dc.publisherIRM
dc.publisherKMI
dc.publisherRMI
dc.relation.ispartofseriesAir Pollution Modeling and its Application XXIII ; NATO Science for Peace and Security Series C: Environmental Security
dc.titleAssessment of Three Dynamical Urban Climate Downscaling Methods
dc.typeArticle
dc.subject.frascatiEarth and related Environmental sciences
dc.audienceGeneral Public
dc.audienceScientific
dc.subject.freeNatural sciences
dc.subject.freeEarth and related Environmental sciences
dc.source.issueAir Pollution Modeling and its Application XXIII ; NATO Science for Peace and Security Series C: Environmental Security
dc.source.page379-383
Orfeo.peerreviewedYes


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