Ozone Profile Retrieval from Satellite Observation Using High Spectral Resolution Infrared Sounding Instrument

Qu, Yanni; Goldberg, Mitchell D.; Divakarla, Murty

doi:10.1007/bf03403516

Cited by 2 publications

(2 citation statements)

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“…However, these bands show little sensitivity to the changing tropospheric ozone, especially in the shortwave ozone absorption regions. The radiance spectra observed by the high-spectral-resolution infrared (IR) sounders, such as the Aqua Atmospheric Infrared Sounder (AIRS), the Aura Tropospheric Emission Spectrometer (TES), the Meteorological Operation (MetOp) Infrared Atmospheric Sounding Interferometer (IASI), and the National Polar-orbiting Operational Environmental Satellite System (NPOESS) Preparatory Project (NPP) Cross-Track Infrared Sounder (CrIS), which cover the 9.6-um ozone absorption band, have been used to retrieve upper-tropospheric ozone profiles because of the good sensitivity in this area (Seemann et al 2003;Clerbaux et al 2007;Wei et al 2010;Qu et al 2001). In addition, agreement between IR-retrieved ozone amounts near the tropopause and aircraft ozone measurements was found (Pittman et al 2009).…”

Section: Introductionmentioning

confidence: 99%

Impact of Terrain Altitude and Cloud Height on Ozone Remote Sensing from Satellite

Bai

et al. 2014

Journal of Atmospheric and Oceanic Technology

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Terrain and cloud height heavily impact ozone information despite ozone being concentrated in the stratosphere. The ozone weighting function (OWF) provides important information towards understanding the capabilities and limitations of a given channel. The factors that impact the OWF can be analyzed using radiative transfer theory and modeling. At the 9.6-mm infrared spectral region, both the OWF values and peaks are related to the surface temperature, terrain altitude, and cloud height. Warmer surface temperatures, lower terrain altitude, or lower cloud levels will give larger weighting function values, and the peak of the weighting function slightly increases with the increase in surface temperature, terrain altitude, or cloud height. For longer UV bands such as 306 and 318 nm, OWF shows smaller values for higher terrains, while showing larger values when clouds are present. However, in the shorter UV bands such as 274 and 288 nm, OWF has almost no relationship with the surface and clouds. Therefore, with satellite-based infrared ozone remote sensing, high terrain and cloud presence will reduce ozone sensitivity and information content. In addition, for UV bands, the effect is spectrally dependent: lower terrain altitude and the presence of clouds will increase the zone information content in the longer UV band, but they have no effect in the short UV band. A simulation of an ozone retrieval in the infrared band shows that higher terrain results in lower precision for colder emitting surface temperatures and less ozone absorption signal.

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Section: Introductionmentioning

confidence: 99%

Impact of Terrain Altitude and Cloud Height on Ozone Remote Sensing from Satellite

Bai

et al. 2014

Journal of Atmospheric and Oceanic Technology

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“…Meanwhile, large‐scale retrieval efforts from satellite‐borne instruments produce the inputs necessary to calculate fluxes and heating rate profiles: these products include temperature, water vapor, and ozone profiles and other trace gas descriptions along with some description of cloud cover [e.g., Qu et al , 2001; Susskind et al , 2006; Barnet et al , 2003; Li et al , 2005]. Several authors have explored the determination of fluxes such as OLR and total surface downwelling flux (more easily measurable quantities) from remote sensing products [e.g., Zhang et al , 1995, 2004].…”

Section: Introductionmentioning

confidence: 99%

On the information content of the thermal infrared cooling rate profile from satellite instrument measurements

et al. 2008

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[1] This work investigates how remote sensing of the quantities required to calculate clear-sky cooling rate profiles propagates into cooling rate profile knowledge. The formulation of a cooling rate profile error budget is presented for clear-sky scenes given temperature, water vapor, and ozone profile uncertainty. Using linear propagation of error analysis, an expression for the cooling rate profile covariance matrix is given. Some of the features of the cooling rate covariance matrix are discussed, and it is found that nonzero error correlations in the temperature, water vapor, and ozone retrieval profiles must be considered to produce an unbiased estimate of cooling rate profile variance and the covariance structure. To that end, the exclusion of the details of this error correlation leads to an underestimation of the cooling rate profile uncertainty. This work then examines the assumptions made in the course of deriving the expression for the cooling rate covariance matrix by using ERA-40 Reanalysis data. It is established that the assumptions of linear error propagation and Gaussian statistics are generally tenable. Next, the information content of thermal infrared spectra with respect to clear-sky cooling rate profiles is investigated. Several formerly-and currentlyoperational spectrometers are compared with different spectral coverage, resolution, signal-to-noise ratio. Among these, IASI is found to have the ability to provide the greatest amount of information on the cooling rate profile. Also, it may be scientifically useful to develop far-infrared missions in terms of cooling rate profile analysis.

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Ozone Profile Retrieval from Satellite Observation Using High Spectral Resolution Infrared Sounding Instrument

Cited by 2 publications

References 5 publications

Impact of Terrain Altitude and Cloud Height on Ozone Remote Sensing from Satellite

Impact of Terrain Altitude and Cloud Height on Ozone Remote Sensing from Satellite

On the information content of the thermal infrared cooling rate profile from satellite instrument measurements

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