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Development of a GPU-based High-Performance Radiative Transfer Model for the Infrared Atmospheric Sounding Interferometer (IASI)

Bormin Huang, Jarno Mielikainen, Hyunjong Oh, Hung-Lung A. Huang
Space Science and Engineering Center, University of Wisconsin, Madison, USA
Journal of Computational Physics (17 September 2010)

@article{huang2010development,

   title={Development of a GPU-based High-Performance Radiative Transfer Model for the Infrared Atmospheric Sounding Interferometer (IASI)},

   author={Huang, B. and Mielikainen, J. and Oh, H. and Huang, H.L.A.},

   journal={Journal of Computational Physics},

   issn={0021-9991},

   year={2010},

   publisher={Elsevier}

}

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Satellite-observed radiance is a nonlinear functional of surface properties and atmospheric temperature and absorbing gas profiles as described by the radiative transfer equation (RTE). In the era of hyperspectral sounders with thousands of high-resolution channels, the computation of the radiative transfer model becomes more time-consuming. The radiative transfer model performance in operational numerical weather prediction systems still limits the number of channels we can use in hyperspectral sounders to only a few hundreds. To take the full advantage of such high resolution infrared observations, a computationally efficient radiative transfer model is needed to facilitate satellite data assimilation. In recent years the programmable commodity Graphics Processing Unit (GPU) has evolved into a highly parallel, multithreaded, many-core processor with tremendous computational speed and very high memory bandwidth. The radiative transfer model is very suitable for the GPU implementation to take advantage of the hardware

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