Web: http://arxiv.org/abs/2109.09289

Sept. 23, 2022, 1:12 a.m. | Muhammed Sit, Bong-Chul Seo, Ibrahim Demir

cs.LG updates on arXiv.org arxiv.org

The temporal and spatial resolution of rainfall data is crucial for
environmental modeling studies in which its variability in space and time is
considered as a primary factor. Rainfall products from different remote sensing
instruments (e.g., radar, satellite) have different space-time resolutions
because of the differences in their sensing capabilities and post-processing
methods. In this study, we developed a deep learning approach that augments
rainfall data with increased time resolutions to complement relatively lower
resolution products. We propose a neural …

arxiv cnns products radar rainfall super resolution temporal

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