| Full text | |
| Author(s): Show less - |
Cassol, Henrique L. G.
[1]
;
Domingues, Lucas G.
[2, 3]
;
Sanchez, Alber H.
[3]
;
Basso, Luana S.
[3]
;
Marani, Luciano
[3]
;
Tejada, Graciela
[3]
;
Arai, Egidio
[1]
;
Correia, Caio
[3, 4]
;
Alden, Caroline B.
[5]
;
Miller, John B.
[6]
;
Gloor, Manuel
[7]
;
Anderson, Liana O.
[8]
;
Aragao, Luiz E. O. C.
[1]
;
Gatti, Luciana V.
[3, 4]
Total Authors: 14
|
| Affiliation: | [1] Natl Inst Space Res INPE, Remote Sensing Div, Ave Astronautas 1758, BR-12227010 Sao Jose Dos Campos - Brazil
[2] GNS Sci, Natl Isotope Ctr, Lower Hutt 5010 - New Zealand
[3] Natl Inst Space Res INPE, Earth Syst Sci Ctr CCST, Ave Astronautas 1758, BR-12227010 Sao Jose Dos Campos - Brazil
[4] Nucl & Energy Res Inst IPEN, Ave Lineu Prestes 2242, BR-05508000 Sao Paulo - Brazil
[5] Univ Colorado, CIRES, 216 UCB, Boulder, CO 80309 - USA
[6] NOAA Global Monitoring Lab, Boulder, CO 80305 - USA
[7] Univ Leeds, Sch Geog, Leeds LS9 2JT, W Yorkshire - England
[8] Natl Ctr Monitoring & Early Warning Nat Disasters, Estr Doutor Altino Bondesan 500, BR-12247016 Sao Jose Dos Campos - Brazil
Total Affiliations: 8
|
| Document type: | Journal article |
| Source: | ATMOSPHERE; v. 11, n. 10 OCT 2020. |
| Web of Science Citations: | 0 |
| Abstract | |
Aircraft atmospheric profiling is a valuable technique for determining greenhouse gas fluxes at regional scales (10(4)-10(6) km(2)). 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. (AU) | |
| FAPESP's process: | 16/02018-2 - Interannual variation of Amazon Basin greenhouse gas balances and their controls in a warming and increasingly variable climate – Carbam: the Amazon carbon balance long-term study |
| Grantee: | Luciana Vanni Gatti |
| Support Opportunities: | Research Program on Global Climate Change - Thematic Grants |
| FAPESP's process: | 18/14006-4 - Estimation of Amazon Greenhouse Gas balances from atmospheric concentrations using inverse modelling of atmospheric transport |
| Grantee: | Luana Santamaria Basso |
| Support Opportunities: | Scholarships in Brazil - Post-Doctoral |
| FAPESP's process: | 18/14423-4 - Modeling a decade of carbon gross emissions from forest fires in the Amazon: Conciliating the bottom-up and top-down views of the problem |
| Grantee: | Henrique Luis Godinho Cassol |
| Support Opportunities: | Scholarships in Brazil - Post-Doctoral |
| FAPESP's process: | 18/18493-7 - Correlation between greenhouse gases, natural processes and land use in the Amazon Basin region |
| Grantee: | Graciela Tejada Pinell |
| Support Opportunities: | Scholarships in Brazil - Post-Doctoral |