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16 October 2007 Cloud climatology in the Canary Islands region using NOAA-AVHRR data
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Abstract
In this work a threshold technique for cloud detection and classification is applied to 9 years NOAA-AVHRR imagery in order to obtain a cloud climatology of the Canary Islands region (Northeast Atlantic Ocean). Once the clouds are classified, a retrieval method is used to estimate cloud macro- and micro-physical parameters, such as, effective particle size, optical thickness and top temperature. This retrieval method is based on the inversion of the simulated radiances obtained by a numerical radiative transfer model, libRadtran, using artificial neural networks (ANNs). The ANNs, whose architecture was based on Multilayer Perceptron model, were trained with simulated theoretical radiances using backpropagation with momentum method, and their architectures were optimized through genetic algorithms. The global procedure was performed for both day and night overpasses and, from a set of more than 9000 images, maps of relative frequency were calculated. These results were compared with ISCCP data for the 21-year period 1984-2004. The relationships between the retrieved cloud properties and some climate and atmospheric variables were also considered.
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Albano González, Abidán Cerdeña, Juan C. Pérez, and Ana M. Díaz "Cloud climatology in the Canary Islands region using NOAA-AVHRR data", Proc. SPIE 6745, Remote Sensing of Clouds and the Atmosphere XII, 67450R (16 October 2007); https://doi.org/10.1117/12.737551
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