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Improving Estimates of Sulfur, Nitrogen, and Ozone Total Deposition through Multi-Model and Measurement-Model Fusion Approaches
Fu, Joshua S.
Carmichael, Gregory R.
Dentener, Frank
Aas, Wenche
Andersson, Camilla
SMHI, Research Department, Meteorology.
Barrie, Leonard A.
Cole, Amanda
Galy-Lacaux, Corinne
Geddes, Jeffrey
Itahashi, Syuichi
ORCID iD:
0000-0001-7567-7831
Kanakidou, Maria
Labrador, Lorenzo
Paulot, Fabien
Schwede, Donna
Tan, Jiani
Vet, Robert
Show others and affiliations
2022 (English)
In:
Environmental Science and Technology, ISSN 0013-936X, E-ISSN 1520-5851, Vol. 56, no 4, p. 2134-2142
Article in journal (Refereed) Published
Place, publisher, year, edition, pages
2022. Vol. 56, no 4, p. 2134-2142
National Category
Meteorology and Atmospheric Sciences
Research subject
Meteorology
Identifiers
URN:
urn:nbn:se:smhi:diva-6251
DOI:
10.1021/acs.est.1c05929
ISI:
000763099700006
PubMedID:
35081307
OAI: oai:DiVA.org:smhi-6251
DiVA, id:
diva2:1649834
Available from:
2022-04-05
Created:
2022-04-05
Last updated:
2022-04-05
Bibliographically approved
Open Access in DiVA
Improving Estimates of Sulfur, Nitrogen, and Ozone Total Deposition through Multi-Model and Measurement-Model Fusion Approaches
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200 downloads
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ieee
modern-language-association-8th-edition
vancouver
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ieee
modern-language-association-8th-edition
vancouver
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en-GB
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