An overview of the AIRS radiative transfer model

Strow, L. Larrabee; Hannon, S.; Souza-Machado, S. De; Motteler, Howard E.; Tobin, D.

doi:10.1109/tgrs.2002.808244

Cited by 273 publications

(188 citation statements)

References 21 publications

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“…AIRS uses a physical algorithm for the retrieval of atmospheric profiles dependent on fast and accurate radiative transfer algorithm for computing clear-air radiances which uses approximately 300 channels to determine temperature, water, and ozone profiles [25]. The cross-track scanner of AIRS with 15 km resolution at nadir and 705 km orbital altitude, produces highly accurate global atmospheric profiles product twice every day [26,27].…”

Section: Multisensors Data Productsmentioning

confidence: 99%

A Study of Dust Aerosols Impact on Hurricanes with Multi-Sensors Measurement from Space

Kamal¹

2012

TORMSJ

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MODerate resolution Imaging Spectroradiometer (MODIS) Aerosol Optical Thickness (AOT) and the Atmospheric Infrared Sounder (AIRS) atmospheric profiles (temperature and moisture) Level 2 products are studied to investigate dust aerosols impacts on hurricanes through spatial analysis. Spatial regions were selected based on two concentric circles (an annulus) and segmented by left and right regions of 180° each around the hurricanes center. Statistical relationships between MODIS AOT, AIRS temperature and percent relative humidity (RH) of the hurricanes Isabel (2003), Frances (2004), Katrina (2005) and Helene (2006) are presented. The variation of temperature and RH values represented in static-left, static-right, dynamic-left and dynamic-right for the 500 mb, 700 mb and 850 mb pressure levels are analyzed to determine the impacts of dust aerosols on temperature and RH. Average AOT was found highest in Helene (0.27) than Isabel (0.23), Frances (0.18) and Katrina (0.16). Negative impacts on the atmospheric moisture levels and positive on the temperature was found by dust aerosols. This study concludes that in 2006 dust dampened the force of hurricane Helene contributing towards extremely dryer atmosphere and inhibiting the conductive to intensify the hurricane.

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Section: Multisensors Data Productsmentioning

confidence: 99%

A Study of Dust Aerosols Impact on Hurricanes with Multi-Sensors Measurement from Space

Kamal¹

2012

TORMSJ

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“…The N-T retrieval algorithm is applied to both AIRS and NAST-I data to minimize the impact of retrieval algorithm differences on the retrieval products. However, it should be noted that the forward radiative transfer models used differ in that the optimal spectral sampling (OSS) fast molecular radiative transfer model is used for the NAST-I retrieval Moncet et al, 2003) while the Stand-alone AIRS Radiative Transfer Algorithm (SARTA) is used for the AIRS retrieval (Strow et al, 2003). The A-T retrieval methodology uses eigenvector regression to obtain initial profiles as well (Goldberg et al, 2003;Susskind et al, 2003;Susskind et al, 2006).…”

Section: Retrieval Algorithmsmentioning

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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“…The RTM −1 (Zhou et al 2007(Zhou et al , 2009) used here only uses observed radiance and instrument random noise; no other 'truth' data from satellite or surface-based instruments or from numerical weather analysis/prediction models are utilized in assisting or constraining the retrieval products. The fast transmittance model used herein is a combination of the Stand-alone AIRS Radiative Transfer Algorithm (SARTA) Version 1.07 and the physically based cloud RTM based on the discrete ordinate radiative transfer (DISORT) calculations performed for a wide variety of cloud microphysical properties (Stamnes et al 1988, Yang et al 2001, Strow et al 2003. The studies presented here only deal with clear-sky conditions; therefore, DISORT (or the cloud radiative transfer) model error is not estimated.…”

Section: Analysis Demonstrationmentioning

confidence: 99%