@Article{CassolDSBMTACAMGAAG:2020:DeReIn,
author = "Cassol, Henrique Luis Godinho and Domingues, Lucas Gatti and
Sanchez Ipia, Alber Hamersson and Basso, Luana Santamaria and
Marani, Luciano and Tejada Pinell, Graciela and Arai,
Eg{\'{\i}}dio and Correia, Caio and Alden, Caroline B. and
Miller, John B. and Gloor, Manuel and Anderson, Liana O. and
Arag{\~a}o, Luiz Eduardo Oliveira e Cruz de and Gatti, Luciana
Vanni",
affiliation = "{Instituto Nacional de Pesquisas Espaciais (INPE)} and {Instituto
Nacional de Pesquisas Espaciais (INPE)} and {Instituto Nacional de
Pesquisas Espaciais (INPE)} and {Instituto Nacional de Pesquisas
Espaciais (INPE)} and {Instituto Nacional de Pesquisas Espaciais
(INPE)} and {Instituto Nacional de Pesquisas Espaciais (INPE)} and
{Instituto Nacional de Pesquisas Espaciais (INPE)} and {Instituto
Nacional de Pesquisas Espaciais (INPE)} and {University of
Colorado Boulder} and {NOAA Global Monitoring Laboratory} and
{University of Leeds} and {Centro Nacional de Monitoramento e
Alertas de Desastres Naturais (CEMADEN)} and {Instituto Nacional
de Pesquisas Espaciais (INPE)} and {Instituto Nacional de
Pesquisas Espaciais (INPE)}",
title = "Determination of region of influence obtained by aircraft vertical
profiles using the density of trajectories from the hysplit
model",
journal = "Atmosphere",
year = "2020",
volume = "11",
number = "10",
pages = "e1073",
month = "Oct",
keywords = "footprint, transport pathway, carbon dioxide, greenhouse gases,
atmospheric aircraft profiles.",
abstract = "Aircraft atmospheric profiling is a valuable technique for
determining greenhouse gas fluxes at regional scales (104106 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 8393% for all sites,
while in the second and third quarters, it was 5775%. 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 4252.2% of the
Amazon. In contrast, eastern Amazon sites are sensitive to only
10.925.3%. These results may help to spatially resolve the
response of greenhouse gas emissions to climate variability over
Amazon.",
doi = "10.3390/atmos11101073",
url = "http://dx.doi.org/10.3390/atmos11101073",
issn = "2073-4433",
language = "en",
urlaccessdate = "27 abr. 2024"
}