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Conference Paper: A gridding algorithm to improve satellite data on a regional model grid

TitleA gridding algorithm to improve satellite data on a regional model grid
Authors
Kuhlmann, GerritLam, Yun F.Cheung, Hung M.Hartl, Andreas
Issue Date2014
Citation
Proceedings of the Air and Waste Management Association's Annual Conference and Exhibition, AWMA, 2014, v. 3, p. 1724-1728 How to Cite?
AbstractChemistry transport models (CTM) and satellite observations are both important tools used to study the spatial distribution of air pollutants. NO2 is one particularly important air pollutant frequently the subject of pollution studies. A gridding algorithm was developed to derive more realistic distributions. This algorithm was tested mainly using simple test distributions. A more detailed discussion of the performance of model distributions is presented. The algorithm improves the distribution on a model grid. This is an abstract of a paper presented at the AWMA's 107th Annual Conference & Exhibition (Long Beach, CA 6/24-27/2014).
Persistent Identifierhttp://hdl.handle.net/10722/276498
ISSN
1052-6102
2020 SCImago Journal Rankings: 0.101

 

DC FieldValueLanguage
dc.contributor.authorKuhlmann, Gerrit-
dc.contributor.authorLam, Yun F.-
dc.contributor.authorCheung, Hung M.-
dc.contributor.authorHartl, Andreas-
dc.date.accessioned2019-09-18T08:33:48Z-
dc.date.available2019-09-18T08:33:48Z-
dc.date.issued2014-
dc.identifier.citationProceedings of the Air and Waste Management Association's Annual Conference and Exhibition, AWMA, 2014, v. 3, p. 1724-1728-
dc.identifier.issn1052-6102-
dc.identifier.urihttp://hdl.handle.net/10722/276498-
dc.description.abstractChemistry transport models (CTM) and satellite observations are both important tools used to study the spatial distribution of air pollutants. NO<inf>2</inf> is one particularly important air pollutant frequently the subject of pollution studies. A gridding algorithm was developed to derive more realistic distributions. This algorithm was tested mainly using simple test distributions. A more detailed discussion of the performance of model distributions is presented. The algorithm improves the distribution on a model grid. This is an abstract of a paper presented at the AWMA's 107th Annual Conference & Exhibition (Long Beach, CA 6/24-27/2014).-
dc.languageeng-
dc.relation.ispartofProceedings of the Air and Waste Management Association's Annual Conference and Exhibition, AWMA-
dc.titleA gridding algorithm to improve satellite data on a regional model grid-
dc.typeConference_Paper-
dc.identifier.scopuseid_2-s2.0-84940197702-
dc.identifier.volume3-
dc.identifier.spage1724-
dc.identifier.epage1728-
dc.identifier.issnl1052-6102-

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