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Pendergrass, Drew C., Jacob, Daniel J., Balasus, Nicholas, Estrada, Lucas, Varon, Daniel J., East, James D., He, Megan, Mooring, Todd A., Penn, Elise, Nesser, Hannah, and Worden, John R., 2025. Trends and seasonality of 2019--2023 global methane emissions inferred from a localized ensemble transform Kalman filter (CHEEREIO v1.3.1) applied to TROPOMI satellite observations. Atmospheric Chemistry & Physics, 25(21):14353–14369, doi:10.5194/acp-25-14353-2025.
• from the NASA Astrophysics Data System • by the DOI System •
@ARTICLE{2025ACP....2514353P,
author = {{Pendergrass}, Drew C. and {Jacob}, Daniel J. and {Balasus}, Nicholas and {Estrada}, Lucas and {Varon}, Daniel J. and {East}, James D. and {He}, Megan and {Mooring}, Todd A. and {Penn}, Elise and {Nesser}, Hannah and {Worden}, John R.},
title = "{Trends and seasonality of 2019--2023 global methane emissions inferred from a localized ensemble transform Kalman filter (CHEEREIO v1.3.1) applied to TROPOMI satellite observations}",
journal = {Atmospheric Chemistry \& Physics},
year = 2025,
month = nov,
volume = {25},
number = {21},
pages = {14353-14369},
abstract = "{We use 2019â2023 TROPOMI satellite observations of atmospheric methane
to quantify global methane emissions at monthly 2{\textdegree}
{\texttimes} 2.5{\textdegree} resolution with a localized
ensemble transform Kalman filter (LETKF) inversion, deriving
monthly posterior estimates of emissions and year-to-year
evolution. We apply two alternative wetland inventories
(WetCHARTs and LPJ-wsl) as prior estimates. Our best posterior
estimate of global emissions shows a surge from 560 Tg
a$^{{\ensuremath{-}}1}$ in 2019 to 587â592 Tg
a$^{{\ensuremath{-}}1}$ in 2020â2021 before declining to 572â570
Tg a$^{{\ensuremath{-}}1}$ in 2022â2023. Posterior emissions
reproduce the observed 2019â2023 trends in methane
concentrations at NOAA surface sites and from TROPOMI with
minimal regional bias. Consistent with previous studies, we
attribute the 2020â2021 methane surge to a 14 Tg
a$^{{\ensuremath{-}}1}$ increase in emissions from sub-Saharan
Africa but find that previous attribution of this surge to
anthropogenic sources (livestock) reflects errors in the assumed
wetland spatial distribution. Correlation with GRACE-FO
inundation data suggests that wetlands in South Sudan played a
major role in the 2020â2021 surge but are poorly represented in
wetland models. By contrast, boreal wetland emissions decreased
over 2020â2023 consistent with drying measured by GRACE-FO. We
find that the global seasonality of methane emissions is driven
by northern tropical wetlands and peaks in September, later than
the July wetland model peak and consistent with GRACE-FO. We
find no global seasonality in oil/gas emissions, but US fields
show elevated cold season emissions that could reflect increased
leakage.}",
doi = {10.5194/acp-25-14353-2025},
adsurl = {https://ui.adsabs.harvard.edu/abs/2025ACP....2514353P},
adsnote = {Provided by the SAO/NASA Astrophysics Data System}
}
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