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

Authors :
Henrique L. G. Cassol
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
Luciana V. Gatti
Source :
Atmosphere, Vol 11, Iss 10, p 1073 (2020)
Publication Year :
2020
Publisher :
MDPI AG, 2020.

Abstract

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.

Details

Language :
English
ISSN :
20734433 and 01291084
Volume :
11
Issue :
10
Database :
Directory of Open Access Journals
Journal :
Atmosphere
Publication Type :
Academic Journal
Accession number :
edsdoj.faa9f01291084a138bf512a17660655a
Document Type :
article
Full Text :
https://doi.org/10.3390/atmos11101073