Surface emissivity effects on thermodynamic retrieval of IR spectral radiance

Zhou, Daniel K.; Larar, Allen M.; Smith, William L.; Liu, Xu

doi:10.1117/12.694283

Cited by 10 publications

(7 citation statements)

References 13 publications

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“…Surface emissivity for a given channel is often not updated simultaneously with profiles in the physical iterative process, for example, using emissivities from a regression approach [ Li et al , 2000; Zhou et al , 2006]. Some physical algorithms also retrieve emissivities together with the sounding, but only at selected channels and spectral bands.…”

Section: Introductionmentioning

confidence: 99%

“…The hyperspectral emissivity spectrum can be represented in the retrieval process by its EVs derived from laboratory measured hyperspectral emissivity database. Using EVs to represent radiances or parameters to be retrieved has been suggested and attempted by numerous researchers [ Smith and Woolf , 1976; Goldberg et al , 2003; Zhou et al , 2006; Liu et al , 2006].…”

Section: Introductionmentioning

confidence: 99%

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Physical retrieval of surface emissivity spectrum from hyperspectral infrared radiances

Weisz

et al. 2007

Geophysical Research Letters

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[1] Retrieval of temperature, moisture profiles and surface skin temperature from hyperspectral infrared (IR) radiances requires spectral information about the surface emissivity. Using constant or inaccurate surface emissivities typically results in large temperature and moisture profile errors, particularly over semi-arid or arid areas where the variation in emissivity is large both spectrally and spatially. A physically based algorithm has been developed to retrieve a hyperspectral IR emissivity spectrum simultaneously with the temperature and moisture profiles, as well as the surface skin temperature. To make the solution stable and efficient, the hyperspectral emissivity spectrum is represented by eigenvectors, derived from the laboratory measured hyperspectral emissivity database, in the retrieval process. Experience with Atmospheric InfraRed Sounder (AIRS) radiances shows that simultaneous retrieval of the emissivity spectrum and the sounding improves the surface skin temperature and temperature and moisture profiles, particularly in the near surface layer. Citation: Li, J.,

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Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Physical retrieval of surface emissivity spectrum from hyperspectral infrared radiances

Weisz

et al. 2007

Geophysical Research Letters

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“…A relatively large difference in surface skin temperature, shown in Figure 2(k), could be initiated by an error in the land surface emissivity of the retrieval. In a related study, Zhou et al (2006) found that the error in the surface emissivity (or skin temperature) resulted in a large moisture error near the surface, compensating for land surface uncertainty. For example, a large skin temperature difference existing in various points over land (e.g.…”

Section: -8 September Over Potenza Italymentioning

confidence: 99%

Retrieval validation during the European Aqua Thermodynamic Experiment

Zhou

Smith

Cuomo

et al. 2007

Q.J.R. Meteorol. Soc.

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Atmospheric and surface thermodynamic parameters retrieved with advanced hyperspectral remote sensors aboard Earth observing satellites are critical to weather prediction and scientific research. The retrieval algorithms and retrieved parameters from satellite sounders must be validated to demonstrate the capability and accuracy of both observation and data processing systems. The European Aqua Thermodynamic Experiment (EAQUATE) was conducted not only for validation of the Atmospheric InfraRed Sounder on the Aqua satellite, but also for assessment of validation systems of both ground-based and aircraft-based instruments that will be used for other satellite systems, such as the Infrared Atmospheric Sounding Interferometer on the European MetOp satellite, the Cross-track Infrared Sounder from the National Polar-orbiting Operational Environmental Satellite System (NPOESS) Preparatory Project and the continuing series of NPOESS satellites. Detailed intercomparisons were conducted and presented using different retrieval methodologies: measurements from airborne ultraspectral Fourier transform spectrometers, aircraft in situ instruments, dedicated dropsondes and radiosondes, ground-based Raman lidar, as well as the European Centre for Medium-range Weather Forecasting modelled thermal structures. The results of this study not only illustrate the quality of the measurements and retrieval products, but also demonstrate the capability of the validation systems put in place to validate current and future hyperspectral sounding instruments and their scientific products.

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“…These parameters are critical in obtaining accurate atmospheric profiles near the surface, especially over land where emissivities have a larger variation 17 . Figure 8 plots surface skin temperature and samples of emissivity images.…”

Section: Retrieval Algorithm and Performance Analysismentioning

confidence: 99%

Cloud and thermodynamic parameters retrieved from satellite ultraspectral infrared measurements

et al. 2008

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Atmospheric-thermodynamic parameters and surface properties are basic meteorological parameters for weather forecasting. A physical geophysical parameter retrieval scheme dealing with cloudy and cloud-free radiance observed with satellite ultraspectral infrared sounders has been developed and applied to the Infrared Atmospheric Sounding Interferometer (IASI) and the Atmospheric InfraRed Sounder (AIRS). The retrieved parameters presented herein are from radiance data gathered during the Joint Airborne IASI Validation Experiment (JAIVEx). JAIVEx provided intensive aircraft observations obtained from airborne Fourier Transform Spectrometer (FTS) systems, in-situ measurements, and dedicated dropsonde and radiosonde measurements for the validation of the IASI products. Here, IASI atmospheric profile retrievals are compared with those obtained from dedicated dropsondes, radiosondes, and the airborne FTS system. The IASI examples presented here demonstrate the ability to retrieve fine-scale horizontal features with high vertical resolution from satellite ultraspectral sounder radiance spectra.

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Surface emissivity effects on thermodynamic retrieval of IR spectral radiance

Cited by 10 publications

References 13 publications

Physical retrieval of surface emissivity spectrum from hyperspectral infrared radiances

Physical retrieval of surface emissivity spectrum from hyperspectral infrared radiances

Retrieval validation during the European Aqua Thermodynamic Experiment

Cloud and thermodynamic parameters retrieved from satellite ultraspectral infrared measurements

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