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TempNet -- Temporal Super Resolution of Radar Rainfall Products with Residual CNNs. (arXiv:2109.09289v2 [cs.CV] UPDATED)
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