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A New Divergence Method to Quantify Methane Emissions Using Observations of Sentinel-5P TROPOMI

Journal Article (2021)
Authors

Mengyao Liu (Royal Netherlands Meteorological Institute (KNMI))

Ronald van der A (Nanjing University of Information Science and Technology, Royal Netherlands Meteorological Institute (KNMI))

Michiel van Weele (Royal Netherlands Meteorological Institute (KNMI))

Henk Eskes (Royal Netherlands Meteorological Institute (KNMI))

Xiao Lu (Sun Yat-sen University)

J. Pepijn Pepijn Veefkind (TU Delft - Atmospheric Remote Sensing, Royal Netherlands Meteorological Institute (KNMI))

Jos de Laat (Royal Netherlands Meteorological Institute (KNMI))

Hao Kong (Peking University)

Jingxu Wang (Ocean University of China)

G.B. Cavadini (External organisation)

Research Group
Atmospheric Remote Sensing
Copyright
© 2021 Mengyao Liu, Ronald van der A, Michiel van Weele, Henk Eskes, Xiao Lu, j. Pepijn Veefkind, Jos de Laat, Hao Kong, Jingxu Wang, More Authors
To reference this document use:
https://doi.org/10.1029/2021GL094151
More Info
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Publication Year
2021
Language
English
Copyright
© 2021 Mengyao Liu, Ronald van der A, Michiel van Weele, Henk Eskes, Xiao Lu, j. Pepijn Veefkind, Jos de Laat, Hao Kong, Jingxu Wang, More Authors
Research Group
Atmospheric Remote Sensing
Issue number
18
Volume number
48
DOI:
https://doi.org/10.1029/2021GL094151
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Abstract

We present a new divergence method to estimated methane (CH4) emissions from satellite observed mean mixing ratio of methane (XCH4) by deriving the regional enhancement of XCH4 in the Planetary Boundary Layer (PBL). The applicability is proven by comparing the estimated emissions with its known emission inventory from a 3-month GEOS-Chem simulation. When applied to TROPOspheric Monitoring Instrument observations, sources from well-known oil/gas production areas, livestock farms and wetlands in Texas become clearly visible in the emission maps. The calculated yearly averaged total CH4 emission over the Permian Basin is 3.06 (2.82, 3.78) Tg a−1 for 2019, which is consistent with previous studies and double that of EDGAR v4.3.2 for 2012. Sensitivity tests on PBL heights, on the derived regional background and on wind speeds suggest our divergence method is quite robust. It is also a fast and simple method to estimate the CH4 emissions globally.