Articles | Volume 10, issue 4
https://doi.org/10.5194/amt-10-1281-2017
© Author(s) 2017. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
https://doi.org/10.5194/amt-10-1281-2017
© Author(s) 2017. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
Research article
| 
03 Apr 2017
Research article |
| 03 Apr 2017
Potential of multispectral synergism for observing ozone pollution by combining IASI-NG and UVNS measurements from the EPS-SG satellite
Lorenzo Costantino
CORRESPONDING AUTHOR
Laboratoire Interuniversitaire des Systèmes Atmosphériques (LISA), CNRS UMR7583,
Université Paris Est Créteil, Université Paris Diderot, Créteil, France
Juan Cuesta
Laboratoire Interuniversitaire des Systèmes Atmosphériques (LISA), CNRS UMR7583,
Université Paris Est Créteil, Université Paris Diderot, Créteil, France
Emanuele Emili
Centre Européen de Recherche et de Formation Avancée en Calcul Scientifique (CERFACS), Toulouse, France
Adriana Coman
Laboratoire Interuniversitaire des Systèmes Atmosphériques (LISA), CNRS UMR7583,
Université Paris Est Créteil, Université Paris Diderot, Créteil, France
Gilles Foret
Laboratoire Interuniversitaire des Systèmes Atmosphériques (LISA), CNRS UMR7583,
Université Paris Est Créteil, Université Paris Diderot, Créteil, France
Gaëlle Dufour
Laboratoire Interuniversitaire des Systèmes Atmosphériques (LISA), CNRS UMR7583,
Université Paris Est Créteil, Université Paris Diderot, Créteil, France
Maxim Eremenko
Laboratoire Interuniversitaire des Systèmes Atmosphériques (LISA), CNRS UMR7583,
Université Paris Est Créteil, Université Paris Diderot, Créteil, France
Yohann Chailleux
Laboratoire Interuniversitaire des Systèmes Atmosphériques (LISA), CNRS UMR7583,
Université Paris Est Créteil, Université Paris Diderot, Créteil, France
Matthias Beekmann
Laboratoire Interuniversitaire des Systèmes Atmosphériques (LISA), CNRS UMR7583,
Université Paris Est Créteil, Université Paris Diderot, Créteil, France
Jean-Marie Flaud
Laboratoire Interuniversitaire des Systèmes Atmosphériques (LISA), CNRS UMR7583,
Université Paris Est Créteil, Université Paris Diderot, Créteil, France
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Cited
16 citations as recorded by crossref.
- A simulated observation database to assess the impact of the IASI-NG hyperspectral infrared sounder J. Andrey-Andrés et al. 10.5194/amt-11-803-2018
- 大气甲烷卫星传感器和遥感算法研究综述 何. He Zhuo et al. 10.3788/AOS230429
- A spectral synergy method to retrieve martian water vapor column-abundance and vertical distribution applied to Mars Express SPICAM and PFS nadir measurements F. Montmessin & S. Ferron 10.1016/j.icarus.2018.07.022
- Generalization of the complete data fusion to multi-target retrieval of atmospheric parameters and application to FORUM and IASI-NG simulated measurements C. Tirelli et al. 10.1016/j.jqsrt.2021.107925
- Combined UV and IR ozone profile retrieval from TROPOMI and CrIS measurements N. Mettig et al. 10.5194/amt-15-2955-2022
- Can Column Formaldehyde Observations Inform Air Quality Monitoring Strategies for Ozone and Related Photochemical Oxidants? K. Travis et al. 10.1029/2022JD036638
- Comparison of Distributions of Atmospheric Gas Admixture Concentrations Measured by Remote and In Situ Instruments over the Russian Sector of the Arctic O. Antokhina et al. 10.1134/S1024856018060027
- Diagonal Born–Oppenheimer corrections to the ground electronic state potential energy surfaces of ozone: improvement of ab initio vibrational band centers for the 16O3, 17O3 and 18O3 isotopologues A. Tajti et al. 10.1039/D0CP02457K
- Vertical profile of tropospheric ozone derived from synergetic retrieval using three different wavelength ranges, UV, IR, and microwave: sensitivity study for satellite observation T. Sato et al. 10.5194/amt-11-1653-2018
- Data Fusion Analysis of Sentinel-4 and Sentinel-5 Simulated Ozone Data C. Tirelli et al. 10.1175/JTECH-D-19-0063.1
- High Spatial Resolution Ozone Profiles Retrieved from the First Chinese Ultraviolet–Visible Hyperspectral Satellite Instrument F. Zhao et al. 10.1016/j.eng.2023.02.020
- Tropospheric ozone retrieval from thermal infrared nadir satellite measurements: Towards more adaptability of the constraint using a self-adapting regularization M. Eremenko et al. 10.1016/j.jqsrt.2019.106577
- Synergistic retrieval and complete data fusion methods applied to simulated FORUM and IASI-NG measurements M. Ridolfi et al. 10.5194/amt-15-6723-2022
- Retrievals of tropospheric ozone profiles from the synergism of AIRS and OMI: methodology and validation D. Fu et al. 10.5194/amt-11-5587-2018
- Synergetic use of IASI profile and TROPOMI total-column level 2 methane retrieval products M. Schneider et al. 10.5194/amt-15-4339-2022
- Importance of interpolation and coincidence errors in data fusion S. Ceccherini et al. 10.5194/amt-11-1009-2018
16 citations as recorded by crossref.
- A simulated observation database to assess the impact of the IASI-NG hyperspectral infrared sounder J. Andrey-Andrés et al. 10.5194/amt-11-803-2018
- 大气甲烷卫星传感器和遥感算法研究综述 何. He Zhuo et al. 10.3788/AOS230429
- A spectral synergy method to retrieve martian water vapor column-abundance and vertical distribution applied to Mars Express SPICAM and PFS nadir measurements F. Montmessin & S. Ferron 10.1016/j.icarus.2018.07.022
- Generalization of the complete data fusion to multi-target retrieval of atmospheric parameters and application to FORUM and IASI-NG simulated measurements C. Tirelli et al. 10.1016/j.jqsrt.2021.107925
- Combined UV and IR ozone profile retrieval from TROPOMI and CrIS measurements N. Mettig et al. 10.5194/amt-15-2955-2022
- Can Column Formaldehyde Observations Inform Air Quality Monitoring Strategies for Ozone and Related Photochemical Oxidants? K. Travis et al. 10.1029/2022JD036638
- Comparison of Distributions of Atmospheric Gas Admixture Concentrations Measured by Remote and In Situ Instruments over the Russian Sector of the Arctic O. Antokhina et al. 10.1134/S1024856018060027
- Diagonal Born–Oppenheimer corrections to the ground electronic state potential energy surfaces of ozone: improvement of ab initio vibrational band centers for the 16O3, 17O3 and 18O3 isotopologues A. Tajti et al. 10.1039/D0CP02457K
- Vertical profile of tropospheric ozone derived from synergetic retrieval using three different wavelength ranges, UV, IR, and microwave: sensitivity study for satellite observation T. Sato et al. 10.5194/amt-11-1653-2018
- Data Fusion Analysis of Sentinel-4 and Sentinel-5 Simulated Ozone Data C. Tirelli et al. 10.1175/JTECH-D-19-0063.1
- High Spatial Resolution Ozone Profiles Retrieved from the First Chinese Ultraviolet–Visible Hyperspectral Satellite Instrument F. Zhao et al. 10.1016/j.eng.2023.02.020
- Tropospheric ozone retrieval from thermal infrared nadir satellite measurements: Towards more adaptability of the constraint using a self-adapting regularization M. Eremenko et al. 10.1016/j.jqsrt.2019.106577
- Synergistic retrieval and complete data fusion methods applied to simulated FORUM and IASI-NG measurements M. Ridolfi et al. 10.5194/amt-15-6723-2022
- Retrievals of tropospheric ozone profiles from the synergism of AIRS and OMI: methodology and validation D. Fu et al. 10.5194/amt-11-5587-2018
- Synergetic use of IASI profile and TROPOMI total-column level 2 methane retrieval products M. Schneider et al. 10.5194/amt-15-4339-2022
- Importance of interpolation and coincidence errors in data fusion S. Ceccherini et al. 10.5194/amt-11-1009-2018
Latest update: 25 Apr 2024
Short summary
Using current space-borne measurements from one spectral domain (TIR or UV), only ozone down to 3–4 km altitude may be observed with adequate vertical sensitivity. Here, we evaluate the potential of a new multispectral retrieval method that combines the information from TIR and UV measurements provided by the new-generation sensors IASI-NG and UVNS. Both are on board the upcoming EPS-SG satellite. This new IASI-NG+UVNS retrieval approach allows observations of ozone layers down to 2 km a.s.l.
Using current space-borne measurements from one spectral domain (TIR or UV), only ozone down to...
