| Full text | |
| Author(s): Show less - |
Gloor, M.
[1]
;
Gatti, V, L.
;
Wilson, C.
[2, 3]
;
Parker, R. J.
[4, 5]
;
Boesch, H.
[4, 5]
;
Popa, E.
[6]
;
Chipperfield, M. P.
[2, 3]
;
Poulter, B.
[7]
;
Zhang, Z.
[7]
;
Basso, L.
[8]
;
Miller, J.
[9]
;
McNorton, J.
[10]
;
Jimenez, C.
[11]
;
Prigent, C.
[11]
Total Authors: 14
|
| Affiliation: Show less - | [1] Univ Leeds, Sch Geog, Leeds, W Yorkshire - England
[2] Univ Leeds, Sch Earth & Environm, Leeds, W Yorkshire - England
[3] Univ Leeds, Natl Ctr Earth Observat, Leeds, W Yorkshire - England
[4] Univ Leicester, Natl Ctr Earth Observat, Leicester, Leics - England
[5] Univ Leicester, Earth Observat Sci, Sch Phys & Astron, Leicester, Leics - England
[6] Univ Utrecht, Utrecht - Netherlands
[7] Univ Maryland, Dept Geog Sci, College Pk, MD 20742 - USA
[8] Gatti, L., V, Natl Inst Space Res INPE, Earth Syst Sci Ctr CCST, Greenhouse Gases Lab LaGEE, Jose Dos Campos - Brazil
[9] NOAA, Global Monitoring Div, Earth Syst Res Lab, Boulder, CO - USA
[10] European Ctr Medium Range Weather Forecasts, Reading, Berks - England
[11] Observ Paris, Paris - France
Total Affiliations: 11
|
| Document type: | Journal article |
| Source: | GLOBAL BIOGEOCHEMICAL CYCLES; v. 35, n. 10 OCT 2021. |
| Web of Science Citations: | 0 |
| Abstract | |
The Pantanal region of Brazil is the largest seasonally flooded tropical grassland and, according to local chamber measurements, a substantial CH4 source. CH4 emissions from wetlands have recently become of heightened interest because global atmospheric (CH4)-C-13 data indicate they may contribute to the resumption of atmospheric CH4 growth since 2007. We have regularly measured vertical atmospheric profiles for 2 years in the center of the Pantanal with the objectives to obtain an estimate of CH4 emissions using an atmospheric approach, and provide information about flux seasonality and its relation to controlling factors. Boundary layer-free troposphere differences observed in the Pantanal are large compared to other wetlands. Total emissions based on a planetary boundary layer budgeting technique are 2.0-2.8 TgCH(4) yr(-1) (maximum flux similar to 0.4 gCH(4) m(-2) d(-1)) while those based on a Bayesian inversion using an atmospheric transport model are similar to 3.3 TgCH(4) yr(-1). Compared to recent estimates for Amazonia (similar to 41 +/- 3 TgCH(4) yr(,)(-1) maximum flux similar to 0.3 gCH(4) m(-2) d(-1)) these emissions are not that large. Our Pantanal data suggest a clear flux seasonality with CH4 being released in large amounts just after water levels begin to rise again after minimum levels have been reached. CH4 emissions decline substantially once the maximum water level has been reached. While predictions with prognostic wetland CH4 emission models agree well with the magnitude of the fluxes, they disagree with the phasing. Our approach shows promise for detecting and understanding longer-term trends in CH4 emissions and the potential for future wetlands CH4 emissions climate feedbacks. (AU) | |
| 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: | 19/23654-2 - Estimation of Amazon greenhouse gas balances from atmospheric concentrations using inverse modelling of atmospheric transport with TOMCAT model |
| Grantee: | Luana Santamaria Basso |
| Support Opportunities: | Scholarships abroad - Research Internship - Post-doctor |