2010
DOI: 10.1016/j.jqsrt.2009.10.018
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Efficient radiative transfer simulations for a broadband infrared radiometer—Combining a weighted mean of representative frequencies approach with frequency selection by simulated annealing

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Cited by 31 publications
(30 citation statements)
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“…In reptran integrals over spectral intervals, e.g. integrated over a narrow spectral band or an instrument channel response function, are parameterized as weighted means over representative wavelengths similar to the method described by Buehler et al (2010). The selection of an optimum set of representative wavelengths is based on accurate line-by-line simulations for top-of-atmosphere radiances of a highly variable set of atmospheric states.…”
Section: Molecular Absorption Parameterizationsmentioning
confidence: 99%
“…In reptran integrals over spectral intervals, e.g. integrated over a narrow spectral band or an instrument channel response function, are parameterized as weighted means over representative wavelengths similar to the method described by Buehler et al (2010). The selection of an optimum set of representative wavelengths is based on accurate line-by-line simulations for top-of-atmosphere radiances of a highly variable set of atmospheric states.…”
Section: Molecular Absorption Parameterizationsmentioning
confidence: 99%
“…ARTS was originally developed for applications in the microwave range but is also suitable for applications in the mid-and far-infrared range [see e.g. 32,33]. In this study we used the stable version 2.2 [18].…”
Section: Arts -Atmospheric Radiative Transfer Simulatormentioning
confidence: 99%
“…To include the influence CO 2 , four sets of simulations are produced using CO 2 concentrations of 330, 350, 370, and 390 ppm. The influence of other greenhouse gases such as NO 2 or CH 4 is neglected, but it is only expected to have a minor effect (Buehler et al 2010). We do not study the influence of sea ice or land emissivity as this study is mainly focused on tropical oceans.…”
Section: Olr Retrievals Using Hirs a Multivariate Regression Of Cleamentioning
confidence: 99%