Logo image
Improving Estimates of Sulfur, Nitrogen, and Ozone Total Deposition through Multi-Model and Measurement-Model Fusion Approaches
Journal article   Peer reviewed

Improving Estimates of Sulfur, Nitrogen, and Ozone Total Deposition through Multi-Model and Measurement-Model Fusion Approaches

Joshua S Fu, Gregory R Carmichael, Frank Dentener, Wenche Aas, Camilla Andersson, Leonard A Barrie, Amanda Cole, Corinne Galy-Lacaux, Jeffrey Geddes, Syuichi Itahashi, …
Environmental science & technology, Vol.56(4), pp.2134-2142
01/26/2022
DOI: 10.1021/acs.est.1c05929
PMCID: PMC8962501
PMID: 35081307
url
http://urn.kb.se/resolve?urn=urn:nbn:se:smhi:diva-6251View
Open Access

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.
atmospheric deposition model-measurement fusion multimodel ensemble earth-system modeling

Details

Metrics

Logo image