Data underlying the publication "Regional sensitivities of air quality and human health impacts to aviation emissions"

Datacite citation style:
Domingos de Azevedo Quadros, Flavio; Snellen, M. (Mirjam); Irene C Dedoussi (2020): Data underlying the publication "Regional sensitivities of air quality and human health impacts to aviation emissions". Version 1. 4TU.ResearchData. dataset. https://doi.org/10.4121/uuid:842594f5-6ebc-4150-afbd-7fcaa407aadb
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Dataset
Delft University of Technology logo
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time coverage
2005, 2013
licence
cc-by.png logo CC BY 4.0
Data used to quantify the differences in the regional air quality responses to aviation emissions. The GEOS-Chem atmospheric chemistry-transport model was used to quantify the global and regional fine particulate matter (PM2.5) and ozone sensitivity to aviation emissions over Asia, Europe, and North America for 2005 and 2013. Simulations with perturbed regional aviation emissions inputs were used to isolate the air quality and associated human health impacts of increases in aviation emissions originating from and occurring in the different regions. This dataset consists of the atmospheric model outputs used in the calculations, the baseline mortality rates considered, and the Monte-Carlo estimates of health impacts in 2005 for various concentration-response functions (CRF).
history
  • 2020-09-15 first online, published, posted
publisher
4TU.ResearchData
format
media types: application/x-netcdf
organizations
TU Delft, Faculty of Aerospace Engineering, Department of Control & Operations

DATA

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