Articles | Volume 12, issue 12
https://doi.org/10.5194/amt-12-6771-2019
© Author(s) 2019. 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-12-6771-2019
© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
19 Dec 2019
Research article |
| 19 Dec 2019
| 19 Dec 2019
A scientific algorithm to simultaneously retrieve carbon monoxide and methane from TROPOMI onboard Sentinel-5 Precursor
Oliver Schneising
CORRESPONDING AUTHOR
Institute of Environmental Physics (IUP), University of Bremen FB1, Bremen, Germany
Michael Buchwitz
Institute of Environmental Physics (IUP), University of Bremen FB1, Bremen, Germany
Maximilian Reuter
Institute of Environmental Physics (IUP), University of Bremen FB1, Bremen, Germany
Heinrich Bovensmann
Institute of Environmental Physics (IUP), University of Bremen FB1, Bremen, Germany
John P. Burrows
Institute of Environmental Physics (IUP), University of Bremen FB1, Bremen, Germany
Tobias Borsdorff
SRON Netherlands Institute for Space Research, Earth Science Group (ESG), Utrecht, the Netherlands
Nicholas M. Deutscher
Centre for Atmospheric Chemistry, School of Earth, Atmosphere and Life Sciences, University of Wollongong, Wollongong, Australia
Dietrich G. Feist
Ludwig-Maximilians-Universität München, Lehrstuhl für Physik der Atmosphäre, Munich, Germany
Deutsches Zentrum für Luft- und Raumfahrt, Institut für Physik der Atmosphäre, Oberpfaffenhofen, Germany
Max Planck Institute for Biogeochemistry, Jena, Germany
David W. T. Griffith
Centre for Atmospheric Chemistry, School of Earth, Atmosphere and Life Sciences, University of Wollongong, Wollongong, Australia
Frank Hase
Karlsruhe Institute of Technology (KIT), Institute for Meteorology and Climate Research (IMK-ASF), Karlsruhe, Germany
Christian Hermans
Royal Belgian Institute for Space Aeronomy, Brussels, Belgium
Laura T. Iraci
Atmospheric Science Branch, NASA Ames Research Center, Moffett Field, USA
Rigel Kivi
Finnish Meteorological Institute, Space and Earth Observation Centre, Sodankylä, Finland
Jochen Landgraf
SRON Netherlands Institute for Space Research, Earth Science Group (ESG), Utrecht, the Netherlands
Isamu Morino
Satellite Remote Sensing Section and Satellite Observation Center, Center for Global Environmental Research, National Institute for Environmental Studies (NIES), Tsukuba, Japan
Justus Notholt
Institute of Environmental Physics (IUP), University of Bremen FB1, Bremen, Germany
Christof Petri
Institute of Environmental Physics (IUP), University of Bremen FB1, Bremen, Germany
David F. Pollard
National Institute of Water and Atmospheric Research (NIWA), Lauder, New Zealand
Sébastien Roche
Department of Physics, University of Toronto, Toronto, Canada
Kei Shiomi
Japan Aerospace Exploration Agency (JAXA), Tsukuba, Japan
Kimberly Strong
Department of Physics, University of Toronto, Toronto, Canada
Ralf Sussmann
Karlsruhe Institute of Technology (KIT), Institute for Meteorology and Climate Research (IMK-IFU), Garmisch-Partenkirchen, Germany
Voltaire A. Velazco
Centre for Atmospheric Chemistry, School of Earth, Atmosphere and Life Sciences, University of Wollongong, Wollongong, Australia
Thorsten Warneke
Institute of Environmental Physics (IUP), University of Bremen FB1, Bremen, Germany
Debra Wunch
Department of Physics, University of Toronto, Toronto, Canada
Data sets
TROPOMI/WFMD XCH4 and XCO v1.2 O. Schneising http://www.iup.uni-bremen.de/carbon_ghg/products/tropomi_wfmd
Short summary
We introduce an algorithm that is used to simultaneously derive the abundances of the important atmospheric constituents carbon monoxide and methane from the TROPOMI instrument onboard the Sentinel-5 Precursor satellite, which enables the determination of both gases with an unprecedented level of detail on a global scale. The quality of the resulting data sets is assessed and the first results are presented.
We introduce an algorithm that is used to simultaneously derive the abundances of the important...
