Print Email Facebook Twitter A multi-component data assimilation experiment directed to sulphur dioxide and sulphate over Europe Title A multi-component data assimilation experiment directed to sulphur dioxide and sulphate over Europe Author Barbu, A.L. Segers, A.J. Schaap, M. Heemink, A.W. Builtjes, P.J.H. TNO Bouw en Ondergrond Publication year 2009 Abstract Fine particulate matter (PM) is relevant for human health and its components are associated with climate effects. The performance of chemistry transport models for PM, its components and precursor gases is relatively poor. The use of these models to assess the state of the atmosphere can be strengthened using data assimilation. This study focuses on simultaneous assimilation of sulphate and its precursor gas sulphur dioxide into the regional chemistry transport model LOTOS-EUROS using an ensemble Kalman filter. The process of going from a single component setup for SO2 or SO4 to an experiment in which both components are assimilated simultaneously is illustrated. In these experiments, solely emissions, or a combination of emissions and the conversion rates between SO2 and SO4 were considered uncertain. In general, the use of sequential data assimilation for the estimation of the sulphur dioxide and sulphate distribution over Europe is shown to be beneficial. However, the single component experiments gave contradicting results in direction in which the emissions are adjusted by the filter showing the limitations of such applications. The estimates of the pollutant concentrations in a multi-component assimilation have found to be more realistic. We discuss the behavior of the assimilation system for this application. The model uncertainty definition is shown to be a critical parameter. The increased complexity associated with the simultaneous assimilation of strongly related species requires a very careful specification of the experiment, which will be the main challenge in the future data assimilation applications. © 2008 Elsevier Ltd. All rights reserved. Subject EnvironmentData assimilationEnsemble Kalman filterLOTOS-EUROS modelSulphateSulphur dioxideAir filtersApplicationsControl theoryExperimentsKalman filtersNonmetalsPermanent magnetsSulfurSulfur determinationUncertainty analysisData assimilationEnsemble Kalman filterLOTOS-EUROS modelSulphateSulphur dioxideSulfur dioxideatmospheric modelingclimate effectdata assimilationhealth impactKalman filterparticulate matterpollutant transportpollution monitoringsulfatesulfur dioxideEurasiaEurope To reference this document use: http://resolver.tudelft.nl/uuid:99bb4401-b9dc-41e8-a8fb-3d0c00c39ee7 TNO identifier 241423 ISSN 1352-2310 Source Atmospheric Environment, 43 (9), 1622-1631 Document type article Files To receive the publication files, please send an e-mail request to TNO Library.