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The high-resolution Global Aviation emissions Inventory based on ADS-B (GAIA) for 2019 - 2021: High-resolution gridded outputs for 2020 - 2021 (Bi-monthly)
The high-resolution Global Aviation emissions Inventory based on ADS-B (GAIA) for 2019 – 2021: High-resolution gridded outputs for 2021 - 2021 (Bi-monthly) Roger Teoh, Zebediah Engberg, Marc Shapiro, Lynnette Dray and Marc E.J. Stettler These files contain the high-resolution global flight distance flown, fuel consumption, and various pollutants that are provided bi-monthly for 2020 and 2021. The data is provided in a tabular format and can be converted to a 4D grid with a maximum spatiotemporal resolution of 0.05° (longitude) x 0.05° (latitude), at altitude intervals of 100.0 m, and at an hourly temporal resolution. The global air traffic activity in GAIA was derived from Spire Aviation data. Non-commercial use and research purposes only. For further details, see README.txt
- University College London United Kingdom
- Imperial College London United Kingdom
Emissions, Air traffic, Climate change, Aviation
Emissions, Air traffic, Climate change, Aviation
citations This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).0 popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.Average influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).Average impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.Average visibility views 7 download downloads 3 - 7views3downloads
Data source Views Downloads ZENODO 7 3


