Development of a GPU-based High-Performance Radiative Transfer Model for the Infrared Atmospheric Sounding Interferometer (IASI)
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}
}
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
November 16, 2010 by hgpu