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Article

Determination of Region of Influence Obtained by Aircraft Vertical Profiles Using the Density of Trajectories from the HYSPLIT Model

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Remote Sensing Division, National Institute for Space Research (INPE), Av. dos Astronautas, 1758, São José dos Campos 12.227-010, Brazil
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National Isotope Centre, GNS Science, Lower Hutt 5010, New Zealand
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Earth System Science Center (CCST), National Institute for Space Research (INPE), Av. dos Astronautas, 1758, São José dos Campos 12.227-010, Brazil
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Nuclear and Energy Research Institute (IPEN), Avenida Lineu Prestes, 2242, São Paulo 05508-000, Brazil
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CIRES, University of Colorado Boulder, 216 UCB, Boulder, CO 80309, USA
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NOAA Global Monitoring Laboratory, Boulder, CO 80305, USA
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School of Geography, University of Leeds, Leeds LS9 2JT, UK
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National Center for Monitoring and Early Warning of Natural Disasters—Cemaden, Estrada Doutor Altino Bondesan, 500—Distrito de Eugênio de Melo, São José dos Campos 12.247-016, Brazil
*
Authors to whom correspondence should be addressed.
These authors contributed equally to this work.
Atmosphere 2020, 11(10), 1073; https://doi.org/10.3390/atmos11101073
Received: 15 September 2020 / Revised: 29 September 2020 / Accepted: 30 September 2020 / Published: 9 October 2020
(This article belongs to the Section Atmospheric Techniques, Instruments, and Modeling)
Aircraft atmospheric profiling is a valuable technique for determining greenhouse gas fluxes at regional scales (104–106 km2). Here, we describe a new, simple method for estimating the surface influence of air samples that uses backward trajectories based on the Lagrangian model Hybrid Single-Particle Lagrangian Integrated Trajectory Model (HYSPLIT). We determined “regions of influence” on a quarterly basis between 2010 and 2018 for four aircraft vertical profile sites: SAN and ALF in the eastern Amazon, and RBA and TAB or TEF in the western Amazon. We evaluated regions of influence in terms of their relative sensitivity to areas inside and outside the Amazon and their total area inside the Amazon. Regions of influence varied by quarter and less so by year. In the first and fourth quarters, the contribution of the region of influence inside the Amazon was 83–93% for all sites, while in the second and third quarters, it was 57–75%. The interquarter differences are more evident in the eastern than in the western Amazon. Our analysis indicates that atmospheric profiles from the western sites are sensitive to 42–52.2% of the Amazon. In contrast, eastern Amazon sites are sensitive to only 10.9–25.3%. These results may help to spatially resolve the response of greenhouse gas emissions to climate variability over Amazon. View Full-Text
Keywords: footprint; transport pathway; carbon dioxide; greenhouse gases; atmospheric aircraft profiles footprint; transport pathway; carbon dioxide; greenhouse gases; atmospheric aircraft profiles
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MDPI and ACS Style

Cassol, H.L.G.; Domingues, L.G.; Sanchez, A.H.; Basso, L.S.; Marani, L.; Tejada, G.; Arai, E.; Correia, C.; Alden, C.B.; Miller, J.B.; Gloor, M.; Anderson, L.O.; Aragão, L.E.O.C.; Gatti, L.V. Determination of Region of Influence Obtained by Aircraft Vertical Profiles Using the Density of Trajectories from the HYSPLIT Model. Atmosphere 2020, 11, 1073. https://doi.org/10.3390/atmos11101073

AMA Style

Cassol HLG, Domingues LG, Sanchez AH, Basso LS, Marani L, Tejada G, Arai E, Correia C, Alden CB, Miller JB, Gloor M, Anderson LO, Aragão LEOC, Gatti LV. Determination of Region of Influence Obtained by Aircraft Vertical Profiles Using the Density of Trajectories from the HYSPLIT Model. Atmosphere. 2020; 11(10):1073. https://doi.org/10.3390/atmos11101073

Chicago/Turabian Style

Cassol, Henrique L.G., Lucas G. Domingues, Alber H. Sanchez, Luana S. Basso, Luciano Marani, Graciela Tejada, Egidio Arai, Caio Correia, Caroline B. Alden, John B. Miller, Manuel Gloor, Liana O. Anderson, Luiz E.O.C. Aragão, and Luciana V. Gatti 2020. "Determination of Region of Influence Obtained by Aircraft Vertical Profiles Using the Density of Trajectories from the HYSPLIT Model" Atmosphere 11, no. 10: 1073. https://doi.org/10.3390/atmos11101073

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