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COCCON Measurements of XCO₂, XCH₄ and XCO over Coal Mine Aggregation Areas in Shanxi, China, and Comparison to TROPOMI and CAMS Datasets

Tu, Qiansi ; Hase, Frank 1,2; Qin, Kai; Alberti, Carlos ORCID iD icon 1,2; Lu, Fan; Bian, Ze; Cao, Lixue; Fang, Jiaxin; Gu, Jiacheng; Guan, Luoyao; Jiang, Yanwu; Kang, Hanshu; Liu, Wang; Liu, Yanqiu; Lu, Lingxiao; Shan, Yanan; Si, Yuze; Xu, Qing; Ye, Chang
1 Institut für Meteorologie und Klimaforschung Atmosphärische Spurengase und Fernerkundung (IMKASF), Karlsruher Institut für Technologie (KIT)
2 Institut für Meteorologie und Klimaforschung (IMK), Karlsruher Institut für Technologie (KIT)

Abstract:

This study presents the first column-averaged dry-air mole fractions of carbon dioxide (XCO2), methane (XCH4) and carbon monoxide (XCO) in the coal mine aggregation area in Shanxi, China, using two portable Fourier transform infrared spectrometers (EM27/SUNs), in the framework of the Collaborative Carbon Column Observing Network (COCCON). The measurements, collected over two months, were analyzed. Significant daily variations were observed, particularly in XCH4, which highlight the impact of coal mining emissions as a major CH4 source in the region. This study also compares COCCON XCO with measurements from the TROPOspheric Monitoring Instrument (TROPOMI) onboard the Sentinel-5P satellite, revealing good agreement, with a mean bias of 7.15 ± 9.49 ppb. Additionally, comparisons were made between COCCON XCO2 and XCH4 data and analytical data from the Copernicus Atmosphere Monitoring Service (CAMS). The mean biases between COCCON and CAMS were −6.43 ± 1.75 ppm for XCO2 and 15.40 ± 31.60 ppb for XCH4. The findings affirm the stability and accuracy of the COCCON instruments for validating satellite observations and detecting local greenhouse gas sources. ... mehr


Verlagsausgabe §
DOI: 10.5445/IR/1000177642
Veröffentlicht am 20.12.2024
Originalveröffentlichung
DOI: 10.3390/rs16214022
Scopus
Zitationen: 3
Web of Science
Zitationen: 3
Dimensions
Zitationen: 2
Cover der Publikation
Zugehörige Institution(en) am KIT Institut für Meteorologie und Klimaforschung Atmosphärische Spurengase und Fernerkundung (IMKASF)
Publikationstyp Zeitschriftenaufsatz
Publikationsjahr 2024
Sprache Englisch
Identifikator ISSN: 2072-4292
KITopen-ID: 1000177642
HGF-Programm 12.11.13 (POF IV, LK 01) Long-term trends of global atmospheric composition
Erschienen in Remote Sensing
Verlag MDPI
Band 16
Heft 21
Seiten Art.-Nr.: 4022
Vorab online veröffentlicht am 29.10.2024
Schlagwörter greenhouse gas; XCO2; XCH4; XCO; COCCON; TROPOMI; CAMS
Nachgewiesen in Dimensions
OpenAlex
Web of Science
Scopus
Globale Ziele für nachhaltige Entwicklung Ziel 13 – Maßnahmen zum Klimaschutz
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