Barrett, S. R., Speth, R., Allroggen, F., Eastham, S. D., Dedoussi, I. C., Dasadhikari, K., Grobler, C., Wolfe, P. J., Agarwal, A., Staples, M., & Sabnis, J. (2020). Development of NAS Wide and Global Rapid Aviation Air Quality Tools - 20 [supporting datasets]. United States. Department of Transportation. Federal Aviation Administration. Center of Excellence for Alternative Jet Fuels and Environment. https://doi.org/10.6084/m9.figshare.9944954
Barrett, Steven R.H., Raymond Speth, Florian Allroggen, Sebastian D Eastham, Irene C Dedoussi, Kingshuk Dasadhikari, and Carla Grobler, et al.. Development of NAS Wide and Global Rapid Aviation Air Quality Tools - 20 [supporting datasets]. United States. Department of Transportation. Federal Aviation Administration. Center of Excellence for Alternative Jet Fuels and Environment, 2020. https://doi.org/10.6084/m9.figshare.9944954.
Barrett, Steven R.H., et al. Development of NAS Wide and Global Rapid Aviation Air Quality Tools - 20 [supporting datasets]. United States. Department of Transportation. Federal Aviation Administration. Center of Excellence for Alternative Jet Fuels and Environment, 2020, ROSA P. https://doi.org/10.6084/m9.figshare.9944954.
Details
Alternative Title:
Marginal Climate and Air Quality Costs of Aviation Emissions - Supplementary Dataset
This dataset defines the uncertainty bounds for Tables SI.13-SI.18 in the paper, by including the full Monte Carlo simulation output data. A CSV file is provided for each column in Table SI.13 to Table SI.18 in the paper. The CSV files include the ordered members of the Monte Carlo simulation, for instance the first row of each CSV file corresponds to the same Monte Carlo member. For net costs including air quality costs, central estimates should be calculated using the central estimates from Table SI.13 to Table SI.18 in the paper. This is because, for air quality, the central values are not derived using Monte Carlo simulation, but rather by selecting a central VSL value as described in Section SI.1.3.1 in the paper. This Monte Carlo dataset should be used to determine the uncertainty bounds for net costs due to changes in emissions of multiple species.
The project developed tools that enable rapid assessment of National Airspace System (NAS) wide and global impacts of aviation emissions on aviation-a
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Barrett, S. R., Speth, R., Allroggen, F., Eastham, S. D., Dedoussi, I. C., Dasadhikari, K., Grobler, C., Wolfe, P. J., Agarwal, A., Staples, M., & Sabnis, J. (2020). Development of NAS Wide and Global Rapid Aviation Air Quality Tools - 20 [supporting datasets]. United States. Department of Transportation. Federal Aviation Administration. Center of Excellence for Alternative Jet Fuels and Environment. https://doi.org/10.6084/m9.figshare.9944954
Barrett, Steven R.H., Raymond Speth, Florian Allroggen, Sebastian D Eastham, Irene C Dedoussi, Kingshuk Dasadhikari, and Carla Grobler, et al.. Development of NAS Wide and Global Rapid Aviation Air Quality Tools - 20 [supporting datasets]. United States. Department of Transportation. Federal Aviation Administration. Center of Excellence for Alternative Jet Fuels and Environment, 2020. https://doi.org/10.6084/m9.figshare.9944954.
Barrett, Steven R.H., et al. Development of NAS Wide and Global Rapid Aviation Air Quality Tools - 20 [supporting datasets]. United States. Department of Transportation. Federal Aviation Administration. Center of Excellence for Alternative Jet Fuels and Environment, 2020, ROSA P. https://doi.org/10.6084/m9.figshare.9944954.
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