Articles | Volume 13, issue 1
https://doi.org/10.5194/acp-13-429-2013
© Author(s) 2013. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
https://doi.org/10.5194/acp-13-429-2013
© Author(s) 2013. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
Comparison of global 3-D aviation emissions datasets
S. C. Olsen
Department of Atmospheric Science, University of Illinois Urbana-Champaign, Urbana Il 61801, USA
D. J. Wuebbles
Department of Atmospheric Science, University of Illinois Urbana-Champaign, Urbana Il 61801, USA
B. Owen
Dalton Research Institute, Manchester Metropolitan University, John Dalton Building, Chester Street, Manchester M1 5GD, UK
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- Multiscale predictions of aviation-attributable PM2.5 for U.S. airports modeled using CMAQ with plume-in-grid and an aircraft-specific 1-D emission model M. Woody et al. 10.1016/j.atmosenv.2016.10.016
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- The Open-source Data Inventory for Anthropogenic CO<sub>2</sub>, version 2016 (ODIAC2016): a global monthly fossil fuel CO<sub>2</sub> gridded emissions data product for tracer transport simulations and surface flux inversions T. Oda et al. 10.5194/essd-10-87-2018
- Trading off Aircraft Fuel Burn and NOx Emissions for Optimal Climate Policy S. Freeman et al. 10.1021/acs.est.7b05719
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- Fuel Estimation in Air Transportation: Modeling global fuel consumption for commercial aviation K. Seymour et al. 10.1016/j.trd.2020.102528
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- HERMESv3, a stand-alone multi-scale atmospheric emission modelling framework – Part 1: global and regional module M. Guevara et al. 10.5194/gmd-12-1885-2019
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- Evaluation of commuter airplane emissions: A European case study A. Filippone & B. Parkes 10.1016/j.trd.2021.102979
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- Modeling the present and future impact of aviation on climate: an AOGCM approach with online coupled chemistry P. Huszar et al. 10.5194/acp-13-10027-2013
- Multimodel Integration for Fuel-Related Aircraft Emission Estimation on Boeing 777 E. Schuster & M. Uijt de Haag 10.2514/1.I011042
- The high-resolution Global Aviation emissions Inventory based on ADS-B (GAIA) for 2019–2021 R. Teoh et al. 10.5194/acp-24-725-2024
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