Mon Oct 13, F. Flechtner
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Albuhaisi, Yousef A. Y., van der Velde, Ype, Pandey, Sudhanshu, and Houweling, Sander, 2024. Integrating Satellite Observations and Hydrological Models to Unravel Large TROPOMI Methane Emissions in South Sudan Wetlands. Remote Sensing, 16(24):4744, doi:10.3390/rs16244744.
• from the NASA Astrophysics Data System • by the DOI System •
@ARTICLE{2024RemS...16.4744A,
author = {{Albuhaisi}, Yousef A.~Y. and {van der Velde}, Ype and {Pandey}, Sudhanshu and {Houweling}, Sander},
title = "{Integrating Satellite Observations and Hydrological Models to Unravel Large TROPOMI Methane Emissions in South Sudan Wetlands}",
journal = {Remote Sensing},
keywords = {methane, South Sudan, wetlands, hydrological models, river height measurements, hydrological catchment, ENSO, TROPOMI, GRACE equivalent water thickness},
year = 2024,
month = dec,
volume = {16},
number = {24},
eid = {4744},
pages = {4744},
abstract = "{This study presents a comprehensive investigation of Methane (CH$_{4}$)
emissions in the wetlands of South Sudan, employing an
integrated approach that combines TROPOMI satellite data, river
altimetry, and hydrological model outputs. TROPOMI data show a
strong increase in CH$_{4}$ concentrations over the Sudd
wetlands from 2018 to 2022. We quantify CH$_{4}$ emissions using
these data. We find a twofold emission increase from 2018 to
2019 (9.2 {\ensuremath{\pm}} 2.4 Tg yr$^{‑1}$) to 2020 to 2022
(16.3 {\ensuremath{\pm}} 3.3 Tg yr$^{‑1}$). River altimetry data
analysis elucidates the interconnected dynamics of river systems
and CH$_{4}$ emissions. We identify correlations and temporal
alignments across South Sudan wetlands catchments. Our findings
indicate a clear signature of ENSO driving the wetland dynamics
and CH$_{4}$ emissions in the Sudd by altering precipitation
patterns, hydrology, and temperature, leading to variations in
anaerobic conditions conducive to CH$_{4}$ production.
Significant correlations are found between CH$_{4}$ emissions
and PCR-GLOBWB-simulated soil moisture dynamics, groundwater
recharge, and surface water parameters within specific
catchments, underscoring the importance of these parameters on
the catchment scale. Lagged correlations were found between
hydrological parameters and CH$_{4}$ emissions, particularly
with PCR-GLOBWB-simulated capillary rise. These correlations
shed light on the temporal dynamics of this poorly studied and
quantified source of CH$_{4}$. Our findings contribute to the
current knowledge of wetland CH$_{4}$ emissions and highlight
the urgency of addressing the complex interplay between
hydrology and carbon dynamics in these ecosystems that play a
critical role in the global CH$_{4}$ budget.}",
doi = {10.3390/rs16244744},
adsurl = {https://ui.adsabs.harvard.edu/abs/2024RemS...16.4744A},
adsnote = {Provided by the SAO/NASA Astrophysics Data System}
}
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