Chemical Data Assimilation-An Overview

dc.contributor.authorSandu, Adrianen
dc.contributor.authorChai, Tianfengen
dc.contributor.departmentComputer Scienceen
dc.date.accessed2014-05-08en
dc.date.accessioned2014-05-14T13:12:28Zen
dc.date.available2014-05-14T13:12:28Zen
dc.date.issued2011-08-29en
dc.description.abstractChemical data assimilation is the process by which models use measurements to produce an optimal representation of the chemical composition of the atmosphere. Leveraging advances in algorithms and increases in the available computational power, the integration of numerical predictions and observations has started to play an important role in air quality modeling. This paper gives an overview of several methodologies used in chemical data assimilation. We discuss the Bayesian framework for developing data assimilation systems, the suboptimal and the ensemble Kalman filter approaches, the optimal interpolation (OI), and the three and four dimensional variational methods. Examples of assimilation real observations with CMAQ model are presented.en
dc.description.sponsorshipNSF NSF OCI-0904397, NSF CCF-0916493, NSF DMSipound0915047en
dc.description.versionPublished versionen
dc.format.mimetypeapplication/pdfen
dc.identifier.citationSandu, A.; Chai, T. F., "Chemical Data Assimilation-An Overview," Atmosphere 2011, 2(3), 426-463; doi:10.3390/atmos2030426.en
dc.identifier.doihttps://doi.org/10.3390/atmos2030426en
dc.identifier.issn2073-4433en
dc.identifier.urihttp://hdl.handle.net/10919/47972en
dc.identifier.urlhttp://www.mdpi.com/2073-4433/2/3/426en
dc.language.isoenen
dc.publisherMDPIen
dc.rightsCreative Commons Attribution 4.0 Internationalen
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/en
dc.subjectChemical transport modelingen
dc.subjectData assimilationen
dc.subjectKalman filteringen
dc.subjectVariational methodsen
dc.subjectEnsemble kalman filteren
dc.subjectVariational data assimilationen
dc.subjectAdjointen
dc.subjectSensitivity analysisen
dc.subjectAir-quality modelsen
dc.subjectDynamically consistenten
dc.subjectFormulationsen
dc.subjectBound-constrained optimizationen
dc.subjectAtmospheric dataen
dc.subjectAssimilationen
dc.subjectSequential data assimilationen
dc.subjectDiscrete advection adjointsen
dc.subjectChemistry-transport modelen
dc.subjectMeteorology & atmospheric sciencesen
dc.titleChemical Data Assimilation-An Overviewen
dc.title.serialAtmosphereen
dc.typeArticle - Refereeden
dc.type.dcmitypeTexten

Files

Original bundle
Now showing 1 - 1 of 1
Loading...
Thumbnail Image
Name:
atmosphere-02-00426.pdf
Size:
1.79 MB
Format:
Adobe Portable Document Format
Description:
Main article