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Flood Inflow Forecast Using L2-norm Ensemble Weighting Sea Surface Feature. (arXiv:2112.03108v2 [stat.ML] UPDATED)
July 21, 2022, 1:11 a.m. | Takato Yasuno, Masazumi Amakata, Junichiro Fujii, Masahiro Okano, Riku Ogata
stat.ML updates on arXiv.org arxiv.org
It is important to forecast dam inflow for flood damage mitigation. The
hydrograph provides critical information such as the start time, peak level,
and volume. Particularly, dam management requires a 6-h lead time of the dam
inflow forecast based on a future hydrograph. The authors propose novel target
inflow weights to create an ocean feature vector extracted from the analyzed
images of the sea surface. We extracted 4,096 elements of the dimension vector
in the fc6 layer of the pre-trained …
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