Underestimated Dry Season Methane Emissions from Wetlands in the Pantanal
Abstract
Tropical wetlands contribute ∼30% of the global methane (CH4) budget. Limited observational constraints on tropical wetland CH4 emissions lead to large uncertainties and disparities in representing emissions. In this work, we combine remote sensing observations with atmospheric and wetland models to investigate dry season wetland CH4 emissions from the Pantanal region of South America. We incorporate inundation maps generated from the Cyclone Global Navigation Satellite System (CYGNSS) satellite constellation together with traditional inundation maps to generate an ensemble of wetland CH4 emission realizations. We challenge these realizations with daily satellite observations for May–July when wetland CH4 emission predictions diverge. We find that the CYGNSS inundation products predict larger emissions in May, in better agreement with observations. We use the model ensemble to generate an empirical observational constraint on CH4 emissions independent of choice of inundation map, finding large dry season wetland CH4 emissions (31.7 ± 13.6 and 32.0 ± 20.2 mg CH4/m2/day in May and June/July during 2018/2019, respectively). These May/June/July emissions are 2–3 times higher than current models, suggesting that annual wetland emissions may be higher than traditionally simulated. Observed trends in the early dry season indicate that dynamics during this period are of importance in representing tropical wetland CH4 behaviors.
Copyright and License
Acknowledgement
This work was supported by the National Aeronautics and Space Administration under Grant No. 80NSSC21K1005. Part of this work was carried out at the Jet Propulsion Laboratory, California Institute of Technology, under a contract with the National Aeronautics and Space Administration (NASA).
Data Availability
WetCHARTs model results can be downloaded from https://daac.ornl.gov/cgi-bin/dsviewer.pl?ds_id=1502 (version 1.3.1). The CYGNSS data are publicly available from NASA JPL: https://podaac.jpl.nasa.gov/dataset/CYGNSS_L1_V2.1 (version 2.1). TROPOMI data are publicly available from NASA Earth Data: https://www.earthdata.nasa.gov/ (last access: August 2022). X-STILT with TROPOMI modification is accessed from https://github.com/uataq/X-STILT. Python 3.9 was used for data analysis and plotting.
Additional Information
The Supporting Information is available free of charge at https://pubs.acs.org/doi/10.1021/acs.est.3c09250.
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Model ensemble code explanation; plots displaying the comparison of CH4 enhancements from CYE and CYS models; all models using 100 or 500 particles in X-STILT; illustration of modeled CH4 enhancement calculations; ranges of background CH4 concentrations; wetland CH4 flux estimation from WetCHARTs using CYGNSS, SWAMPS, and ERA5; and correlation of inferred wetland CH4 flux from WetCHARTs models and modeled CH4 enhancements by individual day in May and June
Conflict of Interest
The authors declare no competing financial interest.
Files
es3c09250.pdf
Additional details
Identifiers
- ISSN
- 1520-5851
- PMCID
- PMC10882965
Funding
- National Aeronautics and Space Administration
- 80NSSC21K1005