Recent advances in TROPOMI-based methane source detection: a systematic review
文献类型：期刊论文
| 作者 | Liu, Ruoqi9; Li, Siqi9; Zhang, Geli9; Liu, Mengyao8; Lu, Xiao7; Peng, Shushi6; Shen, Lu5; Zhang, Yuzhong4; Zhuang, Minghao3; Zuo, Xiaoxing2,8 |
| 刊名 | GISCIENCE & REMOTE SENSING
 |
| 出版日期 | 2026-12-31 |
| 卷号 | 63期号:1页码:2650822 |
| 关键词 | Methane (CH4) TROPOMI emission monitoring source detection atmospheric inversion |
| ISSN号 | 1548-1603 |
| DOI | 10.1080/15481603.2026.2650822 |
| 产权排序 | 9 |
| 文献子类 | Review |
| 英文摘要 | 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 & times; 7 km(2), improved to 5.5 & times; 7 km(2) 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. |
| URL标识 | 查看原文 |
| WOS关键词 | HIGH-RESOLUTION INVERSION ; ATMOSPHERIC METHANE ; SENTINEL-5 PRECURSOR ; SATELLITE QUANTIFICATION ; QUANTIFYING METHANE ; POINT SOURCES ; RETRIEVAL ALGORITHM ; AUTOMATED DETECTION ; CARBON-DIOXIDE ; CH4 EMISSIONS |
| WOS研究方向 | Physical Geography ; Remote Sensing |
| 语种 | 英语 |
| WOS记录号 | WOS:001736095700001 |
| 出版者 | TAYLOR & FRANCIS LTD |
| 源URL | [http://ir.igsnrr.ac.cn/handle/311030/221460]  |
| 专题 | 资源利用与环境修复重点实验室_外文论文 |
| 通讯作者 | Zhang, Geli |
| 作者单位 | 1.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, Key Lab Resource Use & Environm Remediat, Beijing, Peoples R China 2.Delft Univ Technol TUD, Dept Geosci & Remote Sensing, Delft, Netherlands; 3.China Agr Univ, Coll Resources & Environm Sci, Dept Plant Nutr, State Key Lab Nutrient Use & Management, Beijing, Peoples R China; 4.Westlake Univ, Sch Engn, Key Lab Coastal Environm & Resources Zhejiang Prov, Hangzhou, Peoples R China; 5.Peking Univ, Sch Phys, Dept Atmospher & Ocean Sci, Beijing, Peoples R China; 6.Peking Univ, Coll Urban & Environm Sci, Dept Phys Geog & Nat Resources, Beijing, Peoples R China; 7.Sun Yat Sen Univ, Sch Atmospher Sci, Dept Atmospher Phys & Chem, Zhuhai, Peoples R China; 8.Royal Netherlands Meteorol Inst, R&D Satellite Observat, KNMI, De Bilt, Netherlands; 9.China Agr Univ, Coll Land Sci & Technol, Dept Land Resources, Beijing, Peoples R China; |
| 推荐引用方式 GB/T 7714 | Liu, Ruoqi,Li, Siqi,Zhang, Geli,et al. Recent advances in TROPOMI-based methane source detection: a systematic review[J]. GISCIENCE & REMOTE SENSING,2026,63(1):2650822. |
| APA | Liu, Ruoqi.,Li, Siqi.,Zhang, Geli.,Liu, Mengyao.,Lu, Xiao.,...&Dong, Jinwei.(2026).Recent advances in TROPOMI-based methane source detection: a systematic review.GISCIENCE & REMOTE SENSING,63(1),2650822. |
| MLA | Liu, Ruoqi,et al."Recent advances in TROPOMI-based methane source detection: a systematic review".GISCIENCE & REMOTE SENSING 63.1(2026):2650822. |
入库方式： OAI收割
来源：地理科学与资源研究所
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