Forecasting atmospheric turbulence conditions from prior environmental parameters using artificial neural networks.
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DOI: 10.1364/ao.487185
Abstract: Atmospheric turbulence (C n2) modeling has been proposed by physics-based models, but they are unable to capture the many cases. Recently, machine learning surrogate models have been used to learn the relationship between local meteorological… read more here.
Keywords: rnn; turbulence conditions; prior environmental; turbulence ... See more keywords