Early forecasting of tsunami inundation from tsunami and geodetic observation data with convolutional neural networks
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DOI: 10.1038/s41467-021-22348-0
Abstract: Rapid and accurate hazard forecasting is important for prompt evacuations and reducing casualties during natural disasters. In the decade since the 2011 Tohoku tsunami, various tsunami forecasting methods using real-time data have been proposed. However,… read more here.
Keywords: tsunami inundation; neural networks; tsunami; convolutional neural ... See more keywords