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Integrating Satellite Observations and Hydrological Models to Unravel Large TROPOMI Methane Emissions in South Sudan Wetlands

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.

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BibTeX

@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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