Print Email Facebook Twitter A New Divergence Method to Quantify Methane Emissions Using Observations of Sentinel-5P TROPOMI Title A New Divergence Method to Quantify Methane Emissions Using Observations of Sentinel-5P TROPOMI Author Liu, Mengyao (Royal Netherlands Meteorological Institute (KNMI)) van der A, Ronald (Royal Netherlands Meteorological Institute (KNMI); Nanjing University of Information Sciences and Technology) van Weele, Michiel (Royal Netherlands Meteorological Institute (KNMI)) Eskes, Henk (Royal Netherlands Meteorological Institute (KNMI)) Lu, Xiao (Sun Yat-sen University) Veefkind, j. Pepijn (TU Delft Atmospheric Remote Sensing; Royal Netherlands Meteorological Institute (KNMI)) de Laat, Jos (Royal Netherlands Meteorological Institute (KNMI)) Kong, Hao (Peking University) Wang, Jingxu (Ocean University of China) Date 2021 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. Subject divergencemethane emissionsTexasTROPOMI To reference this document use: http://resolver.tudelft.nl/uuid:e1d5391b-e01e-40c9-b700-c852b9797b44 DOI https://doi.org/10.1029/2021GL094151 ISSN 0094-8276 Source Geophysical Research Letters, 48 (18) Part of collection Institutional Repository Document type journal article Rights © 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 Files PDF Geophysical_Research_Lett ... ons_of.pdf 2.61 MB Close viewer /islandora/object/uuid:e1d5391b-e01e-40c9-b700-c852b9797b44/datastream/OBJ/view