KIT | KIT-Bibliothek | Impressum | Datenschutz

CH$_4$ Fluxes Derived from Assimilation of TROPOMI XCH$_4$ in CarbonTracker Europe-CH$_4$: Evaluation of Seasonality and Spatial Distribution in the Northern High Latitudes

Tsuruta, Aki; Kivimäki, Ella; Lindqvist, Hannakaisa; Karppinen, Tomi; Backman, Leif; Hakkarainen, Janne; Schneising, Oliver; Buchwitz, Michael; Lan, Xin; Kivi, Rigel; Chen, Huilin; Buschmann, Matthias; Herkommer, Benedikt ORCID iD icon 1; Notholt, Justus; Roehl, Coleen; Té, Yao; Wunch, Debra; Tamminen, Johanna; Aalto, Tuula
1 Institut für Meteorologie und Klimaforschung – Atmosphärische Spurenstoffe und Fernerkundung (IMK-ASF), Karlsruher Institut für Technologie (KIT)

Abstract:

Recent advances in satellite observations of methane provide increased opportunities for inverse modeling. However, challenges exist in the satellite observation optimization and retrievals for high latitudes. In this study, we examine possibilities and challenges in the use of the total column averaged dry-air mole fractions of methane (XCH$_4$) data over land from the TROPOspheric Monitoring Instrument (TROPOMI) on board the Sentinel 5 Precursor satellite in the estimation of CH4 fluxes using the CarbonTracker Europe-CH$_4$ (CTE-CH$_4$) atmospheric inverse model. We carry out simulations assimilating two retrieval products: Netherlands Institute for Space Research’s (SRON) operational and University of Bremen’s Weighting Function Modified Differential Optical Absorption Spectroscopy (WFM-DOAS). For comparison, we also carry out a simulation assimilating the ground-based surface data. Our results show smaller regional emissions in the TROPOMI inversions compared to the prior and surface inversion, although they are roughly within the range of the previous studies. The wetland emissions in summer and anthropogenic emissions in spring are lesser. ... mehr


Verlagsausgabe §
DOI: 10.5445/IR/1000160377
Veröffentlicht am 11.07.2023
Originalveröffentlichung
DOI: 10.3390/rs15061620
Scopus
Zitationen: 7
Web of Science
Zitationen: 8
Dimensions
Zitationen: 10
Cover der Publikation
Zugehörige Institution(en) am KIT Institut für Meteorologie und Klimaforschung – Atmosphärische Spurenstoffe und Fernerkundung (IMK-ASF)
Publikationstyp Zeitschriftenaufsatz
Publikationsmonat/-jahr 03.2023
Sprache Englisch
Identifikator ISSN: 2072-4292
KITopen-ID: 1000160377
HGF-Programm 12.11.13 (POF IV, LK 01) Long-term trends of global atmospheric composition
Erschienen in Remote Sensing
Verlag MDPI
Band 15
Heft 6
Seiten Art.-Nr.: 1620
Vorab online veröffentlicht am 16.03.2023
Schlagwörter methane, atmospheric inversion, TROPOMI XCH4, northern high latitudes
Nachgewiesen in Web of Science
Dimensions
Scopus
KIT – Die Forschungsuniversität in der Helmholtz-Gemeinschaft
KITopen Landing Page