Articles | Volume 9, issue 8
https://doi.org/10.5194/amt-9-3921-2016
© Author(s) 2016. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
Special issue:
https://doi.org/10.5194/amt-9-3921-2016
© Author(s) 2016. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
Research article
| 
23 Aug 2016
Research article |
| 23 Aug 2016
HDO and H2O total column retrievals from TROPOMI shortwave infrared measurements
Remco A. Scheepmaker
SRON Netherlands Institute for Space Research, Utrecht,
the Netherlands
Joost aan de Brugh
SRON Netherlands Institute for Space Research, Utrecht,
the Netherlands
Haili Hu
SRON Netherlands Institute for Space Research, Utrecht,
the Netherlands
Tobias Borsdorff
SRON Netherlands Institute for Space Research, Utrecht,
the Netherlands
Christian Frankenberg
Jet Propulsion Laboratory (JPL), California Institute of
Technology, Pasadena, CA, USA
Camille Risi
Laboratoire de Météorologie Dynamique, Insitut Pierre Simon
Laplace, CNRS, Paris, France
Otto Hasekamp
SRON Netherlands Institute for Space Research, Utrecht,
the Netherlands
Ilse Aben
SRON Netherlands Institute for Space Research, Utrecht,
the Netherlands
SRON Netherlands Institute for Space Research, Utrecht,
the Netherlands
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Cited
14 citations as recorded by crossref.
- Carbon monoxide total column retrievals from TROPOMI shortwave infrared measurements J. Landgraf et al. 10.5194/amt-9-4955-2016
- A full-mission data set of H<sub>2</sub>O and HDO columns from SCIAMACHY 2.3 µm reflectance measurements A. Schneider et al. 10.5194/amt-11-3339-2018
- Retrieving H<sub>2</sub>O/HDO columns over cloudy and clear-sky scenes from the Tropospheric Monitoring Instrument (TROPOMI) A. Schneider et al. 10.5194/amt-15-2251-2022
- Estimating ground-level CH4 concentrations inferred from Sentinel-5P J. Qin et al. 10.1080/01431161.2023.2240028
- Comparison of the H2O, HDO and δD stratospheric climatologies between the MIPAS-ESA V8, MIPAS-IMK V5 and ACE-FTS V4.1/4.2 satellite datasets K. De Los Ríos et al. 10.5194/amt-17-3401-2024
- Intercomparison of arctic XH<sub>2</sub>O observations from three ground-based Fourier transform infrared networks and application for satellite validation Q. Tu et al. 10.5194/amt-14-1993-2021
- First data set of H<sub>2</sub>O/HDO columns from the Tropospheric Monitoring Instrument (TROPOMI) A. Schneider et al. 10.5194/amt-13-85-2020
- Total water vapour columns derived from Sentinel 5P using the AMC-DOAS method T. Küchler et al. 10.5194/amt-15-297-2022
- Editorial for the Special Issue “Remote Sensing of Atmospheric Components and Water Vapor” V. Cachorro & M. Antón 10.3390/rs12132074
- Impact of Molecular Spectroscopy on Carbon Monoxide Abundances from TROPOMI P. Hochstaffl et al. 10.3390/rs12213486
- On the consistency of methane retrievals using the Total Carbon Column Observing Network (TCCON) and multiple spectroscopic databases E. Malina et al. 10.5194/amt-15-2377-2022
- Investigation of spaceborne trace gas products over St Petersburg and Yekaterinburg, Russia, by using COllaborative Column Carbon Observing Network (COCCON) observations C. Alberti et al. 10.5194/amt-15-2199-2022
- Isotopic Composition of Tropospheric Water Vapor in the Vicinity of St. Petersburg Y. Virolainen & K. Shpak 10.1134/S1024856023060234
- The operational methane retrieval algorithm for TROPOMI H. Hu et al. 10.5194/amt-9-5423-2016
14 citations as recorded by crossref.
- Carbon monoxide total column retrievals from TROPOMI shortwave infrared measurements J. Landgraf et al. 10.5194/amt-9-4955-2016
- A full-mission data set of H<sub>2</sub>O and HDO columns from SCIAMACHY 2.3 µm reflectance measurements A. Schneider et al. 10.5194/amt-11-3339-2018
- Retrieving H<sub>2</sub>O/HDO columns over cloudy and clear-sky scenes from the Tropospheric Monitoring Instrument (TROPOMI) A. Schneider et al. 10.5194/amt-15-2251-2022
- Estimating ground-level CH4 concentrations inferred from Sentinel-5P J. Qin et al. 10.1080/01431161.2023.2240028
- Comparison of the H2O, HDO and δD stratospheric climatologies between the MIPAS-ESA V8, MIPAS-IMK V5 and ACE-FTS V4.1/4.2 satellite datasets K. De Los Ríos et al. 10.5194/amt-17-3401-2024
- Intercomparison of arctic XH<sub>2</sub>O observations from three ground-based Fourier transform infrared networks and application for satellite validation Q. Tu et al. 10.5194/amt-14-1993-2021
- First data set of H<sub>2</sub>O/HDO columns from the Tropospheric Monitoring Instrument (TROPOMI) A. Schneider et al. 10.5194/amt-13-85-2020
- Total water vapour columns derived from Sentinel 5P using the AMC-DOAS method T. Küchler et al. 10.5194/amt-15-297-2022
- Editorial for the Special Issue “Remote Sensing of Atmospheric Components and Water Vapor” V. Cachorro & M. Antón 10.3390/rs12132074
- Impact of Molecular Spectroscopy on Carbon Monoxide Abundances from TROPOMI P. Hochstaffl et al. 10.3390/rs12213486
- On the consistency of methane retrievals using the Total Carbon Column Observing Network (TCCON) and multiple spectroscopic databases E. Malina et al. 10.5194/amt-15-2377-2022
- Investigation of spaceborne trace gas products over St Petersburg and Yekaterinburg, Russia, by using COllaborative Column Carbon Observing Network (COCCON) observations C. Alberti et al. 10.5194/amt-15-2199-2022
- Isotopic Composition of Tropospheric Water Vapor in the Vicinity of St. Petersburg Y. Virolainen & K. Shpak 10.1134/S1024856023060234
- The operational methane retrieval algorithm for TROPOMI H. Hu et al. 10.5194/amt-9-5423-2016
Discussed (final revised paper)
Latest update: 23 Nov 2024
Short summary
We have developed an algorithm to measure HDO (heavy water) in the atmosphere using the TROPOMI satellite instrument, scheduled for launch in 2016. Giving an insight in the history of water vapour, these measurements will help to better understand the water cycle and its role in climate change. We use realistic measurement simulations to describe the performance of the algorithm, and show that TROPOMI will greatly improve and extend the HDO datasets from the previous SCIAMACHY and GOSAT missions.
We have developed an algorithm to measure HDO (heavy water) in the atmosphere using the TROPOMI...
Special issue