Articles | Volume 19, issue 7
https://doi.org/10.5194/amt-19-2407-2026
© Author(s) 2026. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/amt-19-2407-2026
© Author(s) 2026. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
14 Apr 2026
Research article |
| 14 Apr 2026
| 14 Apr 2026
TROPOMI/WFMD v2.0: Improved retrievals of XCH4 and XCO with XGBoost-based quality filtering
Oliver Schneising
CORRESPONDING AUTHOR
Institute of Environmental Physics (IUP), University of Bremen, Bremen, Germany
Heinrich Bovensmann
Institute of Environmental Physics (IUP), University of Bremen, Bremen, Germany
Michael Buchwitz
Institute of Environmental Physics (IUP), University of Bremen, Bremen, Germany
Matthias Buschmann
Institute of Environmental Physics (IUP), University of Bremen, Bremen, Germany
Nicholas M. Deutscher
Environmental Futures, School of Science, University of Wollongong, Wollongong, NSW, Australia
David W. T. Griffith
Environmental Futures, School of Science, University of Wollongong, Wollongong, NSW, Australia
Jonas Hachmeister
Institute of Environmental Physics (IUP), University of Bremen, Bremen, Germany
Frank Hase
Karlsruhe Institute of Technology (KIT), IMKASF, Karlsruhe, Germany
Laura T. Iraci
Earth Science Division, NASA Ames Research Center, Moffett Field, CA, USA
Rigel Kivi
Space and Earth Observation Centre, Finnish Meteorological Institute, Sodankylä, Finland
Isamu Morino
Satellite Remote Sensing Section and Satellite Observation Center, Earth System Division, National Institute for Environmental Studies (NIES), Tsukuba, Ibaraki, Japan
Hirofumi Ohyama
Satellite Remote Sensing Section and Satellite Observation Center, Earth System Division, National Institute for Environmental Studies (NIES), Tsukuba, Ibaraki, Japan
Christof Petri
Institute of Environmental Physics (IUP), University of Bremen, Bremen, Germany
Maximilian Reuter
Institute of Environmental Physics (IUP), University of Bremen, Bremen, Germany
John Robinson
Earth Sciences New Zealand, Omakau, New Zealand
Coleen Roehl
California Institute of Technology, Pasadena, CA, USA
Mahesh Kumar Sha
Royal Belgian Institute for Space Aeronomy (BIRA-IASB), Brussels, Belgium
Kei Shiomi
Earth Observation Research Center (EORC), Japan Aerospace Exploration Agency (JAXA), Tsukuba, Ibaraki, Japan
Kimberly Strong
Department of Physics, University of Toronto, Toronto, Ontario, Canada
Ralf Sussmann
Karlsruhe Institute of Technology (KIT), IMKIFU, Garmisch-Partenkirchen, Germany
Sorbonne Université, CNRS, MONARIS, UMR8233, Paris, France
Voltaire A. Velazco
Deutscher Wetterdienst (DWD), Meteorological Observatory Hohenpeissenberg, Hohenpeissenberg, Germany
Mihalis Vrekoussis
Climate and Atmosphere Research Centre (CARE-C), The Cyprus Institute, Nicosia, Cyprus
Institute of Environmental Physics (IUP), University of Bremen, Bremen, Germany
Center of Marine Environmental Sciences (MARUM), University of Bremen, Bremen, Germany
Wei Wang
Key Laboratory of Environmental Optics and Technology, Anhui Institute of Optics and Fine Mechanics, Chinese Academy of Sciences, Hefei, China
Thorsten Warneke
Institute of Environmental Physics (IUP), University of Bremen, Bremen, Germany
Damien Weidmann
STFC Rutherford Appleton Laboratory, Space Science and Technology Department, Harwell Campus, Didcot, UK
Debra Wunch
Department of Physics, University of Toronto, Toronto, Ontario, Canada
Minqiang Zhou
State Key Laboratory of Atmospheric Environment and Extreme Meteorology, Institute of Atmospheric Physics, Chinese Academy of Sciences, Beijing, China
Hartmut Bösch
Institute of Environmental Physics (IUP), University of Bremen, Bremen, Germany
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Short summary
We present an improved version of the TROPOMI/WFMD (TROPOspheric Monitoring Instrument/Weighting Function Modified Differential) algorithm for the simultaneous retrieval of atmospheric methane and carbon monoxide from satellite observations. The updated data product combines higher data yield with better precision and accuracy, expanding its suitability for a wider range of scientific applications. These substantial advances are mainly due to refined quality filtering, enabling more reliable identification of cloudy scenes and mitigating specific aerosol-related issues.
We present an improved version of the TROPOMI/WFMD (TROPOspheric Monitoring Instrument/Weighting...
