Ensemble-based chemical data assimilation II: Real observations

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dc.contributor.authorConstantinescu, Emil M.en
dc.contributor.authorSandu, Adrianen
dc.contributor.authorChai, Tianfengen
dc.contributor.authorCarmichael, Gregory R.en
dc.contributor.departmentComputer Scienceen
dc.date.accessioned2013-06-19T14:37:00Zen
dc.date.available2013-06-19T14:37:00Zen
dc.date.issued2006-03-01en
dc.description.abstractData assimilation is the process of integrating observational data and model predictions to obtain an optimal representation of the state of the atmosphere. As more chemical observations in the troposphere are becoming available, chemical data assimilation is expected to play an essential role in air quality forecasting, similar to the role it has in numerical weather prediction. Considerable progress has been made recently in the development of variational tools for chemical data assimilation. In this paper we assess the performance of the ensemble Kalman filter (EnKF) and compare it with a state of the art 4D-Var approach. We analyze different aspects that affect the assimilation process, investigate several ways to avoid filter divergence, and investigate the assimilation of emissions. Results with a real model and real observations show that EnKF is a promising approach for chemical data assimilation. The results also point to several issues on which further research is necessary.en
dc.format.mimetypeapplication/pdfen
dc.identifierhttp://eprints.cs.vt.edu/archive/00000744/en
dc.identifier.sourceurlhttp://eprints.cs.vt.edu/archive/00000744/01/enkf_4dvar.pdfen
dc.identifier.trnumberTR-06-07en
dc.identifier.urihttp://hdl.handle.net/10919/20208en
dc.language.isoenen
dc.publisherDepartment of Computer Science, Virginia Polytechnic Institute & State Universityen
dc.relation.ispartofComputer Science Technical Reportsen
dc.rightsIn Copyrighten
dc.rights.urihttp://rightsstatements.org/vocab/InC/1.0/en
dc.subjectNumerical analysisen
dc.titleEnsemble-based chemical data assimilation II: Real observationsen
dc.typeTechnical reporten
dc.type.dcmitypeTexten

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