Retrieval of tropospheric ozone: The synergistic use of thermal infrared emission and ultraviolet reflectivity measurements from space

Landgraf, Jochen; Hasekamp, Otto

doi:10.1029/2006jd008097

Cited by 62 publications

(58 citation statements)

References 21 publications

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“…In addition, there is a substantial improvement in the vertical resolution of ozone in the free troposphere (between 20 % and 60 %) as compared to the TES vertical resolution. Landgraf and Hasekamp (2007) investigated the synergistic use of TIR (ozone band near 9.6 µm) and UV spectral region (290-320 nm) for the retrieval of vertical distribution of tropospheric ozone from satellite observations. The study also led to the conclusion that combining TIR and UV spectral ranges can improve significantly the retrieved ozone in the lowest 5 km of the troposphere.…”

Section: Introductionmentioning

confidence: 99%

Characterization of ozone profiles derived from Aura TES and OMI radiances

Worden

Liu

et al. 2013

Atmos. Chem. Phys.

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We present satellite based ozone profile estimates derived by combining radiances measured at thermal infrared (TIR) wavelengths from the Aura Tropospheric Emission Spectrometer (TES) and ultraviolet (UV) wavelengths measured by the Aura Ozone Monitoring Instrument (OMI). The advantage of using these combined wavelengths and instruments for sounding ozone over either instrument alone is improved sensitivity near the surface as well as the capability to consistently resolve the lower troposphere, upper troposphere, and lower stratosphere for scenes with varying geophysical states. For example, the vertical resolution of ozone estimates from either TES or OMI varies strongly by surface albedo and temperature. Typically, TES provides 1.6 degrees of freedom for signal (DOFS) and OMI provides less than 1 DOFS in the troposphere. The combination provides 2 DOFS in the troposphere with approximately 0.4 DOFS for near surface ozone (surface to 700 hPa). We evaluated these new ozone profile estimates with ozonesonde measurements and found that calculated errors for the joint TES and OMI ozone profile estimates are in reasonable agreement with actual errors as derived by the root-mean-square (RMS) difference between the ozonesondes and the joint TES/OMI ozone estimates. We also used a common a priori profile in the retrievals in order to evaluate the capability of different retrieval approaches on capturing near-surface ozone variability. We found that the vertical resolution of the joint TES/OMI ozone profile estimates shows significant improvements on quantifying variations in near-surface ozone with RMS differences of 49.9% and correlation coefficient of R = 0.58 for the TES/OMI near-surface estimates as compared to 67.2% RMS difference and R = 0.33 for TES and 115.8% RMS difference and R = 0.09 for OMI. This comparison removes the impacts of using the climatological a priori in the retrievals. However, it results in artificially large sonde/retrieval differences. The TES/OMI ozone profiles from the production code of joint retrievals will use climatological a priori and therefore will have more realistic ozone estimates than those from using a common a priori volume mixing ratio profile

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Section: Introductionmentioning

confidence: 99%

Characterization of ozone profiles derived from Aura TES and OMI radiances

Worden

Liu

et al. 2013

Atmos. Chem. Phys.

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“…In a complementary study, we perform observing system simulation experiments (OSSEs) to further quantify the impact of such a satellite instrument on AQ analyses and forecasts (Claeyman et al, 2011). Future work will also concern multispectral retrievals to improve these measurements at the surface, with a methodology similar to that of Worden et al (2007); Landgraf and Hasekamp (2007) for TES and OMI concerning TIR and the ultraviolet spectral region. In particular, adding channels in the visible (Chappuis bands) as for the MAGEAQ instrument, should improve sensitivity to O 3 concentrations in the near surface, likely reaching between 2.5 and 3 DOFs for O 3 in the troposphere, and thus providing effective sounding capability for the LmT.…”

Section: Discussionmentioning

confidence: 99%

“…For example, Deeter et al (2007) show that the sensitivity of MOPITT observations to CO concentrations in the lower troposphere varies widely as a result of variability in thermal contrast conditions. Landgraf and Hasekamp (2007) demonstrate using simulated radiances from TES that a positive thermal contrast enhances O 3 sensitivity close to the surface and reduces sensitivity at higher altitudes. For a positive thermal contrast (Fig.…”

Section: Optimum Instrument Characteristics Onboard a Geostationary Pmentioning

confidence: 99%

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

et al. 2011

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Abstract. This paper describes the capabilities of a nadir thermal infrared (TIR) sensor proposed for deployment onboard a geostationary platform to monitor ozone (O 3 ) and carbon monoxide (CO) for air quality (AQ) purposes. To assess the capabilities of this sensor we perform idealized retrieval studies considering typical atmospheric profiles of O 3 and CO over Europe with different instrument configuration (signal to noise ratio, SNR, and spectral sampling interval, SSI) using the KOPRA forward model and the KOPRA-fit retrieval scheme. We then select a configuration, referred to as GEO-TIR, optimized for providing information in the lowermost troposphere (LmT; 0-3 km in height). For the GEO-TIR configuration we obtain ∼1.5 degrees of freedom for O 3 and ∼2 for CO at altitudes between 0 and 15 km. The error budget of GEO-TIR, calculated using the principal contributions to the error (namely, temperature, measurement error, smoothing error) shows that information in the LmT can be achieved by GEO-TIR. We also retrieve analogous profiles from another geostationary infrared instrument with SNR and SSI similar to the Meteosat Third Generation Infrared Sounder (MTG-IRS) which is dedicated to numerical weather prediction, referred to as GEO-TIR2. We quantify the added value of GEO-TIR over GEO-TIR2 for a realistic atmosphere, simulated using the chemistry transport model MOCAGE (MOdèle de Chimie Atmospheriquè a Grande Echelle). Results show that GEO-TIR is ableCorrespondence to: M. Claeyman (marine.claeyman@aero.obs-mip.fr) to capture well the spatial and temporal variability in the LmT for both O 3 and CO. These results also provide evidence of the significant added value in the LmT of GEO-TIR compared to GEO-TIR2 by showing GEO-TIR is closer to MOCAGE than GEO-TIR2 for various statistical parameters (correlation, bias, standard deviation).

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“…We analyze this problem 5 using simulated measurements of ozone profiles obtained in the ultraviolet and in the thermal infrared in the framework of the Sentinel 4 (S4) mission (ESA, 2017) of the Copernicus programme (http://www.copernicus.eu/main/sentinels). The advantages to use a multispectral approach for observing the ozone profile from space by synergism of atmospheric radiances in the thermal infrared and in the ultraviolet has been studied by Landgraf and Hasekamp (2007), Worden et al (2007), Fu et al (2013), Natraj et al, (2011), Cuesta et al (2013 and Costantino et al (2017). 10…”

Section: Introductionmentioning

confidence: 99%

Importance of interpolation and coincidence errors in data fusion

Ceccherini

Carli

Tirelli

et al. 2017

Preprint

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Abstract. The Complete Data Fusion method is applied to ozone profiles obtained from simulated measurements in the ultraviolet and in the thermal infrared in the framework of the Sentinel 4 mission of the Copernicus programme. We observe 10 that the quality of the fused products is degraded when the fusing profiles are either retrieved on different vertical grids or referred to different true profiles. To address this shortcoming, a generalization of the complete data fusion method, which takes into account interpolation and coincidence errors, is presented. This upgrade overcomes the encountered problems and provides products of good quality when the fusing profiles are both retrieved on different vertical grids and referred to different true profiles. The impact of the interpolation and coincidence errors on number of degrees of freedom and errors of 15 the fused profile is also analyzed. The approach developed here to account for the interpolation and coincidence errors can also be followed to include other error components, such as forward model errors.

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Retrieval of tropospheric ozone: The synergistic use of thermal infrared emission and ultraviolet reflectivity measurements from space

Cited by 62 publications

References 21 publications

Characterization of ozone profiles derived from Aura TES and OMI radiances

Characterization of ozone profiles derived from Aura TES and OMI radiances

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

Importance of interpolation and coincidence errors in data fusion

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Retrieval of tropospheric ozone: The synergistic use of thermal infrared emission and ultraviolet reflectivity measurements from space

Cited by 62 publications

References 21 publications

Characterization of ozone profiles derived from Aura TES and OMI radiances

Characterization of ozone profiles derived from Aura TES and OMI radiances

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

Importance of interpolation and coincidence errors in data fusion

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