Articles | Volume 15, issue 2
https://doi.org/10.5194/amt-15-297-2022
https://doi.org/10.5194/amt-15-297-2022
Research article
 | 
20 Jan 2022
Research article |  | 20 Jan 2022

Total water vapour columns derived from Sentinel 5P using the AMC-DOAS method

Tobias Küchler, Stefan Noël, Heinrich Bovensmann, John Philip Burrows, Thomas Wagner, Christian Borger, Tobias Borsdorff, and Andreas Schneider

Related authors

A study of measurement scenarios for the future CO2M mission: avoidance of detector saturation and the impact on XCO2 retrievals
Michael Weimer, Michael Hilker, Stefan Noël, Max Reuter, Michael Buchwitz, Blanca Fuentes Andrade, Rüdiger Lang, Bernd Sierk, Yasjka Meijer, Heinrich Bovensmann, John P. Burrows, and Hartmut Bösch
EGUsphere, https://doi.org/10.5194/egusphere-2024-3857,https://doi.org/10.5194/egusphere-2024-3857, 2025
This preprint is open for discussion and under review for Atmospheric Measurement Techniques (AMT).
Short summary
Comparing space-based to reported carbon monoxide emission estimates for Europe's iron and steel plants
Gijs Leguijt, Joannes D. Maasakkers, Hugo A. C. Denier van der Gon, Arjo J. Segers, Tobias Borsdorff, Ivar R. van der Velde, and Ilse Aben
Atmos. Chem. Phys., 25, 555–574, https://doi.org/10.5194/acp-25-555-2025,https://doi.org/10.5194/acp-25-555-2025, 2025
Short summary
Unleashing the potential of geostationary satellite observations in air quality forecasting through artificial intelligence techniques
Chengxin Zhang, Xinhan Niu, Hongyu Wu, Zhipeng Ding, Ka Lok Chan, Jhoon Kim, Thomas Wagner, and Cheng Liu
Atmos. Chem. Phys., 25, 759–770, https://doi.org/10.5194/acp-25-759-2025,https://doi.org/10.5194/acp-25-759-2025, 2025
Short summary
Retrieving the atmospheric concentrations of carbon dioxide and methane from the European Copernicus CO2M satellite mission using artificial neural networks
Maximilian Reuter, Michael Hilker, Stefan Noël, Antonio Di Noia, Michael Weimer, Oliver Schneising, Michael Buchwitz, Heinrich Bovensmann, John P. Burrows, Hartmut Bösch, and Ruediger Lang
Atmos. Meas. Tech., 18, 241–264, https://doi.org/10.5194/amt-18-241-2025,https://doi.org/10.5194/amt-18-241-2025, 2025
Short summary
Assessment of laboratory O4 absorption cross-sections at 360 nm using atmospheric long-path DOAS observations
Bianca Lauster, Udo Frieß, Jan-Marcus Nasse, Ulrich Platt, and Thomas Wagner
EGUsphere, https://doi.org/10.5194/egusphere-2024-3881,https://doi.org/10.5194/egusphere-2024-3881, 2025
Short summary

Related subject area

Subject: Gases | Technique: Remote Sensing | Topic: Instruments and Platforms
Tropospheric ozone sensing with a differential absorption lidar based on a single CO2 Raman cell
Guangqiang Fan, Yibin Fu, Juntao Huo, Yan Xiang, Tianshu Zhang, Wenqing Liu, and Zhi Ning
Atmos. Meas. Tech., 18, 443–453, https://doi.org/10.5194/amt-18-443-2025,https://doi.org/10.5194/amt-18-443-2025, 2025
Short summary
The Small Mobile Ozone Lidar (SMOL): instrument description and first results
Fernando Chouza, Thierry Leblanc, Patrick Wang, Steven S. Brown, Kristen Zuraski, Wyndom Chace, Caroline C. Womack, Jeff Peischl, John Hair, Taylor Shingler, and John Sullivan
Atmos. Meas. Tech., 18, 405–419, https://doi.org/10.5194/amt-18-405-2025,https://doi.org/10.5194/amt-18-405-2025, 2025
Short summary
Design study for an airborne N2O lidar
Christoph Kiemle, Andreas Fix, Christian Fruck, Gerhard Ehret, and Martin Wirth
Atmos. Meas. Tech., 17, 6569–6578, https://doi.org/10.5194/amt-17-6569-2024,https://doi.org/10.5194/amt-17-6569-2024, 2024
Short summary
The Pyrenean Platform for Observation of the Atmosphere: site, long-term dataset, and science
Marie Lothon, François Gheusi, Fabienne Lohou, Véronique Pont, Serge Soula, Corinne Jambert, Solène Derrien, Yannick Bezombes, Emmanuel Leclerc, Gilles Athier, Antoine Vial, Alban Philibert, Bernard Campistron, Frédérique Saïd, Jeroen Sonke, Julien Amestoy, Erwan Bargain, Pierre Bosser, Damien Boulanger, Guillaume Bret, Renaud Bodichon, Laurent Cabanas, Guylaine Canut, Jean-Bernard Estrampes, Eric Gardrat, Zaida Gomez Kuri, Jérémy Gueffier, Fabienne Guesdon, Morgan Lopez, Olivier Masson, Pierre-Yves Meslin, Yves Meyerfeld, Nicolas Pascal, Eric Pique, Michel Ramonet, Felix Starck, and Romain Vidal
Atmos. Meas. Tech., 17, 6265–6300, https://doi.org/10.5194/amt-17-6265-2024,https://doi.org/10.5194/amt-17-6265-2024, 2024
Short summary
SORAS, A ground-based 110 GHz microwave radiometer for measuring the stratospheric ozone vertical profile in Seoul
Soohyun Ka and Jung Jin Oh
Atmos. Meas. Tech. Discuss., https://doi.org/10.5194/amt-2024-108,https://doi.org/10.5194/amt-2024-108, 2024
Revised manuscript accepted for AMT
Short summary

Cited articles

Allan, R., Liu, C., Zahn, M., Lavers, D., Koukouvagias, E., and Bodas-Salcedo, A.: Physically Consistent Responses of the Global Atmospheric Hydrological Cycle in Models and Observations, Survey in Geophysics, 35, 533–552, https://doi.org/10.1007/s10712-012-9213-z, 2014. a
Anderson, G.: FASCODE/MODTRAN/LOWTRAN: Paste/Present/Future, in: 18th Annual Review Conference on Atmospheric Models, Bedford, Massachusetts, 6–8 June 1995, 1995. a
Apituley, A., Pedergnana, M., Sneep, M., Veefkind, J. P., Loyola, D., and Wang, P.: Sentinel-5 precursor/TROPOMI Level 2 Product User Manual KNMI level 2 support products, Tech. rep., Royal Netherlands Meteorological Institute, available at: https://sentinel.esa.int/documents/247904/2474726/Sentinel-5P-Level-2-Product-User-Manual-FRESCO-Cloud-Support (last access: 3 February 2021),​​​​​​​ 2017. a
Bennartz, R. and Fischer, J.: Retrieval of columnar water vapour over land from backscattered solar radiation using the Medium Resolution Imaging Spectrometer, Remote Sens. Environ., 78, 274–283, https://doi.org/10.1016/S0034-4257(01)00218-8, 2001. a
Bevis, M., Businger, S., Herring, T. A., Rocken, C., Anthes, R. A., and Ware, R. H.: GPS meteorology: Remote sensing of atmospheric water vapor using the global positioning system, J. Geophys. Res.-Atmos., 97, 15787–15801, https://doi.org/10.1029/92JD01517, 1992. a
Download
Short summary
We applied the air-mass-corrected differential optical absorption spectroscopy (AMC-DOAS) method to derive total column water vapour (TCWV) from Sentinel-5P measurements and compared it to independent data sets. The correlation coefficients of typically more than 0.9 and the small deviations up to 2.5 kg m−2 reveal good agreement between our data product and other TCWV data sets. In particular for the different Sentinel-5P water vapour products, the deviations are around 1 kg m−2.
Share