Recent advances in TROPOMI-based methane source detection
a systematic review
Ruoqi Liu (China Agricultural University)
Siqi Li (China Agricultural University)
Geli Zhang (China Agricultural University)
Mengyao Liu (Royal Netherlands Meteorological Institute (KNMI))
Xiao Lu (Sun Yat-sen University)
Shushi Peng (Peking University)
Lu Shen (Peking University)
Yuzhong Zhang (Westlake University)
Minghao Zhuang (China Agricultural University)
Xiaoxing Zuo (TU Delft - Atmospheric Remote Sensing, Royal Netherlands Meteorological Institute (KNMI))
Jinwei Dong (Chinese Academy of Sciences)
More Info
expand_more
Other than for strictly personal use, it is not permitted to download, forward or distribute the text or part of it, without the consent of the author(s) and/or copyright holder(s), unless the work is under an open content license such as Creative Commons.
Abstract
The renewed increase in atmospheric methane (CH4) concentrations since 2007, culminating in record growth rates in 2021, poses a critical challenge to achieving global climate targets. The TROPOspheric Monitoring Instrument (TROPOMI) onboard the Sentinel-5 Precursor satellite provides unprecedented daily global observations of CH4 at a spatial resolution (7 × 7 km2, improved to 5.5 × 7 km2 since August 2019), enabling substantial advances in space-based CH4 monitoring and emission quantification. Here, we synthesize and categorize 133 published studies spanning global, regional and local scales and covering both anthropogenic and natural CH4 sources. Collectively, these studies demonstrate TROPOMI's capability to quantify emissions across diverse spatiotemporal scales, as well as its synergy with other satellite instruments for detecting and attributing facility-level sources, such as fossil fuel infrastructure and landfills. However, emission estimates remain challenged by uncertainties in column-averaged CH4 (XCH4) retrievals related to surface albedo effects and persistent cloud cover, particularly in tropical and high-latitude regions. These limitations can be mitigated through improved retrieval algorithms, refined quality filtering, multisatellite fusion, and integration with ground-based observations and airborne campaigns. Furthermore, we assess the suitability of different quantification approaches for specific source types, such as Gaussian plume models for large isolated emitters and inverse modeling for spatially diffuse emissions. Finally, we outline key methodological priorities and opportunities in the context of the recent MetOp-SG-A satellite, which will complement TROPOMI with a morning overpass. By consolidating current applications of TROPOMI XCH4 observations, this review provides guidance for enhancing space-based methane monitoring and supports targeted mitigation strategies aligned with achieving Sustainable Development Goal 13.
help_outline