MotifGen is the first multi-source generative model for spatiotemporal interpolation of misaligned microwave cyclone images from heterogeneous instruments at irregular intervals, achieving lower CRPS via self-supervised training and closer power spectra than deterministic baselines when combining in
Gprof-nn: a neural-network-based implementation of the goddard profiling algorithm
3 Pith papers cite this work. Polarity classification is still indexing.
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2026 3verdicts
UNVERDICTED 3representative citing papers
GPROF-IR is a CNN-based retrieval that uses temporal context in geostationary IR observations to produce precipitation estimates with lower error than prior IR methods and climatological consistency with PMW retrievals for integration into IMERG V08.
Cellular base station signals can be repurposed as distributed opportunistic radars to retrieve standard weather-radar moments for rainfall at few-meter spatial and tens-of-seconds temporal resolution in urban areas.
citing papers explorer
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Mobile Radio Networks and Weather Radars Dualism: Rainfall Measurement Revolution in Densely Populated Areas
Cellular base station signals can be repurposed as distributed opportunistic radars to retrieve standard weather-radar moments for rainfall at few-meter spatial and tens-of-seconds temporal resolution in urban areas.