Journal article
Improving Estimates of Sulfur, Nitrogen, and Ozone Total Deposition through Multi-Model and Measurement-Model Fusion Approaches
Environmental science & technology, Vol.56(4), pp.2134-2142
01/26/2022
DOI: 10.1021/acs.est.1c05929
PMCID: PMC8962501
PMID: 35081307
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.
Details
- Title: Subtitle
- Improving Estimates of Sulfur, Nitrogen, and Ozone Total Deposition through Multi-Model and Measurement-Model Fusion Approaches
- Creators
- Joshua S Fu - Computational Earth Sciences Group, Computational Sciences and Engineering Division, Oak Ridge National Laboratory, Oak Ridge, Tennessee 37380, United StatesGregory R Carmichael - Center for Global and Regional Environmental Research, University of Iowa, Iowa City, Iowa 52242, United StatesFrank Dentener - European Commission, Joint Research Centre, 21027 Ispra VA ItalyWenche Aas - NILU - Norwegian Institute for Air Research, 2007 Kjeller, NorwayCamilla Andersson - Swedish Meteorological and Hydrological Institute, SE-601 76 Norrköping, SwedenLeonard A Barrie - Department of Atmosphere and Ocean Science, McGill University, Montreal, Quebec H3A 0B9, CanadaAmanda Cole - Air Quality Research Division, Science and Technology Branch, Environment and Climate Change Canada, Toronto, Ontario M3H 5T4, CanadaCorinne Galy-Lacaux - Laboratoire d'Aérologie, Université de Toulouse, CNRS, UPS, 31400 Toulouse, FranceJeffrey Geddes - Department of Earth & Environment, Boston University, Boston, Massachusetts 02215, United StatesSyuichi Itahashi - Environmental Science Research Laboratory, Central Research Institute of Electric Power Industry (CRIEPI), Chiba 270-1194, JapanMaria Kanakidou - Institute of Environmental Physics, University of Bremen, 28359 Bremen, GermanyLorenzo Labrador - Global Atmosphere Watch Programme, Science and Innovation Department, World Meteorological Organization, Case postale 2300, CH-1211 Geneva 2, SwitzerlandFabien Paulot - NOAA Geophysical Fluid Dynamics Laboratory, Princeton, New Jersey 08540, United StatesDonna Schwede - Center for Environmental Measurement and Modeling, Office of Research and Development, U.S. Environmental Protection Agency, Research Triangle Park, North Calonia 27709, United StatesJiani Tan - Jiani Tan is now in Max Planck Institute for Chemistry, 55128 Mainz, GermanyRobert Vet - Unaffiliated, Markham, Ontario L3R 1P5, Canada
- Resource Type
- Journal article
- Publication Details
- Environmental science & technology, Vol.56(4), pp.2134-2142
- DOI
- 10.1021/acs.est.1c05929
- PMID
- 35081307
- PMCID
- PMC8962501
- NLM abbreviation
- Environ Sci Technol
- eISSN
- 1520-5851
- Grant note
- DOI: 10.13039/501100001862, name: Svenska Forskningsr??det Formas, award: 2018-02436, 2018-02437, 2018-02438, 700 2018-02434; DOI: 10.13039/501100001665, name: Agence Nationale de la Recherche, award: ANR- 18-EBI4-0007; DOI: 10.13039/501100002347, name: Bundesministerium f??r Bildung und Forschung, award: 01LC1810A; DOI: 10.13039/501100004837, name: Ministerio de Ciencia e Innovaci??n, award: CI2018- 093149; DOI: 10.13039/501100002341, name: Academy of Finland, award: 326328; DOI: 10.13039/501100004357, name: Naturv??rdsverket, award: NV-037730-16; name: BiodivScen ERA-net COFUND
- Language
- English
- Date published
- 01/26/2022
- Academic Unit
- Civil and Environmental Engineering; Nursing; Chemical and Biochemical Engineering
- Record Identifier
- 9984211795202771
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