A geostationary thermal infrared sensor to monitor the lowermost troposphere: O&amp;lt;sub&amp;gt;3&amp;lt;/sub&amp;gt; and CO retrieval studies

Claeyman, M.; Attié, Jean-Luc; Peuch, Vincent-Henri; Amraoui, L. El; Lahoz, W. A.; Josse, B.; Ricaud, Philippe; Clarmann, T. von; Höpfner, Michael; Orphal, J.; Flaud, J.‐M.; Edwards, D. P.; Chance, K.; Liu, Xueliang; Pasternak, F.; Cantie, R.

doi:10.5194/amt-4-297-2011

Cited by 23 publications

(32 citation statements)

References 57 publications

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“…MAGEAQ was a candidate for the ESA's Earth Explorer 8 call for proposals, but not selected. Owing to its high spectral resolution (0.05 cm −1 ) and small radiometric noise (6.04 nW (cm 2 sr cm −1 ) −1 ) in the infrared ozone band, it is meant to be dedicated to ozone retrieval in the lowermost troposphere (Claeyman et al, 2011b). In the present study only the thermal infrared part of the MAGEAQ observing system will be considered.…”

Section: Common Set-up Of the Simulationsmentioning

confidence: 99%

“…We investigate the degree to which the limited scene-dependence of PO approximations can be representative of the expected spatial and temporal variability of the observing system sensitivity, if compared to a reference set of POs produced with full RT calculations. Our simulation exercise is based on LT ozone column retrievals (from surface to 6 or 3 km) obtained from thermal infrared spectral measurements for the concept geostationary instrument MAGEAQ (Monitoring the Atmosphere from Geostationary orbit for European Air Quality) (Peuch et al, 2010;Claeyman et al, 2011b). This paper is structured in the following way.…”

Section: Called These Sensitivity Analyses Chemical Ossesmentioning

confidence: 99%

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The effect of using limited scene-dependent averaging kernels approximations for the implementation of fast observing system simulation experiments targeted on lower tropospheric ozone

et al. 2013

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Practical implementations of chemical OSSEs (Observing System Simulation Experiments) usually rely on approximations of the pseudo-observations by means of a predefined parametrization of the averaging kernels, which describe the sensitivity of the observing system to the target atmospheric species. This is intended to avoid the use of a computationally expensive pseudo-observations simulator, that relies on full radiative transfer calculations. Here we present an investigation on how no, or limited, scene dependent averaging kernels parametrizations may misrepresent the sensitivity of an observing system. We carried out the full radiative transfer calculation for a three-days period over Europe, to produce reference pseudo-observations of lower tropospheric ozone, as they would be observed by a concept geostationary observing system called MAGEAQ (Monitoring the Atmosphere from Geostationary orbit for European Air Quality). The selected spatio-temporal interval is characterised by an ozone pollution event. We then compared our reference with approximated pseudo-observations, following existing simulation exercises made for both the MAGEAQ and GEOstationary Coastal and Air Pollution Events (GEO-CAPE) missions. We found that approximated averaging kernels may fail to replicate the variability of the full radiative transfer calculations. In addition, we found that the approximations substantially overestimate the capability of MAGEAQ to follow the spatio-temporal variations of the lower tropospheric ozone in selected areas, during the mentioned pollution event. We conclude that such approximations may lead to false conclusions if used in an OSSE. Thus, we recommend to use comprehensive scene-dependent approximations of the averaging kernels, in cases where the full radiative transfer is computationally too costly for the OSSE being investigated

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Section: Common Set-up Of the Simulationsmentioning

confidence: 99%

Section: Called These Sensitivity Analyses Chemical Ossesmentioning

confidence: 99%

The effect of using limited scene-dependent averaging kernels approximations for the implementation of fast observing system simulation experiments targeted on lower tropospheric ozone

et al. 2013

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“…This study takes into account the different optical materials, focal planes, viewing geometry and integration time of two grating spectrometers (TIR and VIS). Claeyman et al (2011b) already described the TIR configuration and Fig. 1 presents the calibration curve showing the variation of SNR vs. the wavelength for the VIS grating spectrometer.…”

Section: Instrument Modelmentioning

confidence: 99%

“…Landgraf and Hasekamp, 2007;Worden et al, 2007;Natraj et al, 2011;Cuesta et al, 2013;Fu et al, 2013). In this paper, we build on the study of Claeyman et al (2011b) and consider the capabilities of the proposed MAGEAQ (Monitoring the Atmosphere from Geostationary orbit for European Air Quality) GEO mission that aimed to use thermal infrared (TIR) and visible (VIS) instruments onboard the same satellite (Peuch et al, 2009) to monitor ozone in the lowermost troposphere (surface and the 0-1 km height region) for AQ purposes.…”

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The added value of a visible channel to a geostationary thermal infrared instrument to monitor ozone for air quality

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Tourneur³

et al. 2014

Atmos. Meas. Tech.

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Abstract. Ozone is a tropospheric pollutant and plays a key role in determining the air quality that affects human wellbeing. In this study, we compare the capability of two hypothetical grating spectrometers onboard a geostationary (GEO) satellite to sense ozone in the lowermost troposphere (surface and the 0-1 km column). We consider 1 week during the Northern Hemisphere summer simulated by a chemical transport model, and use the two GEO instrument configurations to measure ozone concentration (1) in the thermal infrared (GEO TIR) and (2) in the thermal infrared and the visible (GEO TIR+VIS). These configurations are compared against each other, and also against an ozone reference state and a priori ozone information. In a first approximation, we assume clear sky conditions neglecting the influence of aerosols and clouds. A number of statistical tests are used to assess the performance of the two GEO configurations. We consider land and sea pixels and whether differences between the two in the performance are significant. Results show that the GEO TIR+VIS configuration provides a better representation of the ozone field both for surface ozone and the 0-1 km ozone column during the daytime especially over land.

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Retrieval of nitrous oxide from Atmospheric Infrared Sounder: Characterization and validation

et al. 2014

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This paper presents the retrieval algorithm of nitrous oxide (N 2 O) using the Atmospheric Infrared Sounder (AIRS) on EOS/Aqua, its validation using aircraft measurements, and one possible application for . This algorithm will be implemented in AIRS operational retrieval system, enabling the derivation of the N 2 O for over 20 years using the AIRS, the Infrared Atmospheric Sounding Interferometer, and the Cross-track Infrared Sounder. Such a unique product will be complementary to currently sparse ground-based observations for monitoring the N 2 O trend associated with climate change.

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A geostationary thermal infrared sensor to monitor the lowermost troposphere: O<sub>3</sub> and CO retrieval studies

Cited by 23 publications

References 57 publications

The effect of using limited scene-dependent averaging kernels approximations for the implementation of fast observing system simulation experiments targeted on lower tropospheric ozone

The effect of using limited scene-dependent averaging kernels approximations for the implementation of fast observing system simulation experiments targeted on lower tropospheric ozone

The added value of a visible channel to a geostationary thermal infrared instrument to monitor ozone for air quality

Retrieval of nitrous oxide from Atmospheric Infrared Sounder: Characterization and validation

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