A comparison of data-driven and model-driven approaches to brightness temperature diurnal cycle interpolation

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Abstract

This paper presents two new schemes for interpolating missing samples in satellite c temperature cycles. The first scheme, referred to here as the cosine model, is an improvement model proposed by Göttsche et at. (F. M. Göttsche and F. S. Olesen, "Characterization of landsurfaces by modelling diurnal temperature waves extracted from Meteosat-IR. data," in Proceedings of the 9th conference on Satellite Meteorology and Oceanography, (Boston, MA). pp. 426 427, American Meteorological Society. 1998) and combines a cosine and exponential function for modelling the diurnal temperature cycle. The second scheme employs a Reproducing Kernel Hubert Space interpolator (N. Aronszajn. "Theory of Reproducing Kernels." 7}nns. Am. Math. Soc., vol. 68, pp. 337 404, 1950) for interpolating the missing samples. The application of reproducing kernel hilbert space interpolators to the diurnal temperature cycle interpolation problem is novel. Results obtained by means of computer experiments are presented.

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Van Den Bergh, F., Van Wyk, M. A., Van Wyk, B. J., & Udahemuka, G. (2007). A comparison of data-driven and model-driven approaches to brightness temperature diurnal cycle interpolation. In SAIEE Africa Research Journal (Vol. 98, pp. 81–86). https://doi.org/10.23919/saiee.2007.9488131

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