dc.contributor.author | Fu, Joshua S. | |
dc.contributor.author | Carmichael, Gregory R. | |
dc.contributor.author | Dentener, Frank | |
dc.contributor.author | Aas, Wenche | |
dc.contributor.author | Vestøl, Anna Camilla Andersson | |
dc.contributor.author | Barrie, Leonard A. | |
dc.contributor.author | Cole, AS | |
dc.contributor.author | Galy-Lacaux, Corinne | |
dc.contributor.author | Geddes, Jeffrey | |
dc.contributor.author | Itahashi, Syuichi | |
dc.contributor.author | Kanakidou, Maria | |
dc.contributor.author | Labrador, Lorenzo | |
dc.contributor.author | Paulot, Fabien | |
dc.contributor.author | Schwede, Donna | |
dc.contributor.author | Tan, Jiani | |
dc.contributor.author | Vet, Robert | |
dc.date.accessioned | 2022-04-04T12:13:44Z | |
dc.date.available | 2022-04-04T12:13:44Z | |
dc.date.created | 2022-02-18T09:20:18Z | |
dc.date.issued | 2022 | |
dc.identifier.citation | Environmental Science and Technology. 2022, 56, 2134-2142. | en_US |
dc.identifier.issn | 0013-936X | |
dc.identifier.uri | https://hdl.handle.net/11250/2989639 | |
dc.description.abstract | Earth system and environmental impact studies need high quality and up-to-date estimates of atmospheric deposition. This study demonstrates the methodological benefits of multimodel ensemble and measurement-model fusion mapping approaches for atmospheric deposition focusing on 2010, a year for which several studies were conducted. Global model-only deposition assessment can be further improved by integrating new model-measurement techniques, including expanded capabilities of satellite observations of atmospheric composition. We identify research and implementation priorities for timely estimates of deposition globally as implemented by the World Meteorological Organization. | en_US |
dc.language.iso | eng | en_US |
dc.rights | Attribution-NonCommercial-NoDerivatives 4.0 Internasjonal | * |
dc.rights.uri | http://creativecommons.org/licenses/by-nc-nd/4.0/deed.no | * |
dc.title | Improving Estimates of Sulfur, Nitrogen, and Ozone Total Deposition through Multi-Model and Measurement-Model Fusion Approaches | en_US |
dc.type | Peer reviewed | en_US |
dc.type | Journal article | en_US |
dc.description.version | publishedVersion | en_US |
dc.rights.holder | © 2022 The Authors. Published by American Chemical Society. | en_US |
dc.source.pagenumber | 2134-2142 | en_US |
dc.source.volume | 56 | en_US |
dc.source.journal | Environmental Science and Technology | en_US |
dc.identifier.doi | 10.1021/acs.est.1c05929 | |
dc.identifier.cristin | 2003163 | |
dc.relation.project | EC/H2020/776810 | en_US |
cristin.ispublished | true | |
cristin.fulltext | original | |
cristin.qualitycode | 2 | |