Fu, Joshua S.Carmichael, Gregory R.Dentener, FrankAas, WencheAndersson, CamillaBarrie, Leonard A.Cole, AmandaGaly-Lacaux, CorinneGeddes, JeffreyItahashi, SyuichiKanakidou, MariaLabrador, LorenzoPaulot, FabienSchwede, DonnaTan, JianiVet, Robert2024-02-212024-02-212022-02-15J.S. Fu, G.R. Carmichael, F. Dentener, W. Aas, C. Andersson, L.A. Barrie, A. Cole, C. Galy-Lacaux, J. Geddes, S. Itahashi, M. Kanakidou, L. Labrador, F. Paulot, D. Schwede, J. Tan, R. Vet. 2022. "Improving Estimates of Sulfur, Nitrogen, and Ozone Total Deposition through Multi-Model and Measurement-Model Fusion Approaches." Environmental Science and Technology (Washington), Volume 56, Issue 4, pp.2134-2142. https://doi.org/10.1021/acs.est.1c059290013-936X1520-5851https://hdl.handle.net/2144/48137Earth 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.2134-2142Print-ElectronicenCopyright © 2022 The Authors. Published by American Chemical Society. This publication is licensed under CC-BY-NC-ND 4.0.http://creativecommons.org/licenses/by-nc-nd/4.0/Atmospheric depositionEarth-system modelingModel-measurement fusionMultimodel ensembleEnvironmental sciencesAir pollutantsEnvironmental monitoringNitrogenOzoneSulfurArticle2024-01-1010.1021/acs.est.1c059290000-0001-5464-9225 (Fu, Joshua S)0000-0001-7573-6133 (Geddes, Jeffrey)0000-0001-7567-7831 (Itahashi, Syuichi)759767