Abstract
The temperature profile model is based on a neural network algorithm that uses archived radiosonde data, retrieved temperature profiles from remote sounders, climatological information and the solar insolation at the top of the earth’s atmosphere. Neural networks have successfully been employed to retrieve temperature profiles from satellite and ground based measurements (Blackwell and Chen 2009). A neural network refers to interconnecting artificial neurons that mimic the properties of biological neurons to perform sophisticated, intelligent tasks.
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References
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Yee, Y.P., Yee, K.Y., Yee, E.Y. (2012). Methodology for Models. In: Atmospheric Temperature Profiles of the Northern Hemisphere. Springer Atmospheric Sciences. Springer, Dordrecht. https://doi.org/10.1007/978-94-007-4029-7_2
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DOI: https://doi.org/10.1007/978-94-007-4029-7_2
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