A convolutional recurrent neural network predicts infrasound transmission loss over 4,000 km with 4.3 dB average error versus parabolic equation simulations, and generalizes to the 2022 Hunga Tonga eruption and new frequencies.
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Towards real-time assessment of infrasound event detection capability using deep learning-based transmission loss estimation
A convolutional recurrent neural network predicts infrasound transmission loss over 4,000 km with 4.3 dB average error versus parabolic equation simulations, and generalizes to the 2022 Hunga Tonga eruption and new frequencies.