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Long-term hail risk assessment with deep neural networks. (arXiv:2209.01191v1 [physics.ao-ph])
Sept. 5, 2022, 1:12 a.m. | Ivan Lukyanenko (1), Mikhail Mozikov (2), Yury Maximov (3), Ilya Makarov (4) ((1) Moscow Institute of Physics and Technologies, (2) Skolkovo Institute
cs.LG updates on arXiv.org arxiv.org
Hail risk assessment is necessary to estimate and reduce damage to crops,
orchards, and infrastructure. Also, it helps to estimate and reduce consequent
losses for businesses and, particularly, insurance companies. But hail
forecasting is challenging. Data used for designing models for this purpose are
tree-dimensional geospatial time series. Hail is a very local event with
respect to the resolution of available datasets. Also, hail events are rare -
only 1% of targets in observations are marked as "hail". Models for …
arxiv long-term networks neural networks physics risk risk assessment
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