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Using Regionalized Air Quality Model Performance and Bayesian Maximum Entropy data fusion to map global surface ozone concentration
Becker, J. S. ; DeLang, M. N. ; Chang, K.-L. ; Serre, M. L. ; Cooper, O. ; Wang, H. ; Schultz, M. G.FZJ* ; Schröder, S.FZJ* ; Lu, X. ; Zhang, L. ; Deushi, M. ; Josse, B. ; Keller, C. A. ; Lamarque, J.-F. ; Lin, M. ; Liu, J. ; Marécal, V. ; Strode, S. A. ; Sudo, K. ; Tilmes, S. ; Zhang, L. ; Brauer, M. ; Jason West, J. (Corresponding author)
2023
BioOne
Washington, DC
This record in other databases:
Please use a persistent id in citations: doi:10.1525/elementa.2022.00025 doi:10.34734/FZJ-2023-03945
Contributing Institute(s):
- Jülich Supercomputing Center (JSC)
Research Program(s):
- 5111 - Domain-Specific Simulation & Data Life Cycle Labs (SDLs) and Research Groups (POF4-511) (POF4-511)
- IntelliAQ - Artificial Intelligence for Air Quality (787576) (787576)
Appears in the scientific report
2023
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