Axial-UNet: A Neural Weather Model for Precipitation Nowcasting
Accurately predicting short-term precipitation is critical for weather-sensitive applications such as disaster management, aviation, and urban planning. Traditional numerical weather prediction can be computationally intensive at high resolution and short lead times. In this work, we propose a lightweight UNet-based encoder-decoder augmented with axial-
Sumit Mamtani, Maitreya Sonawane
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Precipitation in the Mediterranean Region Observed with TRMM Microwave Data [PDF]
, 2004 Kästner, Martina, Steinwagner, Jörg
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GSMaP RIKEN Nowcast: Global Precipitation Nowcasting with Data Assimilation
Journal of the Meteorological Society of Japan. Ser. II, 2019 OTSUKA, Shigenori +3 more
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Retraction: Effects of the Forecasting Methods, Precipitation Character, and Satellite Resolution on the Predictability of Short-Term Quantitative Precipitation Nowcasting (QPN) from a Geostationary Satellite. [PDF]
PLoS One, 2018 PLOS ONE Editors.
europepmc +1 more source
On the challenge of precipitation nowcasting in the Canary Islands
, 2022 Presentación realizada en: 4th European Nowcasting Conference, celebrada del 21 al 25 de marzo de 2022.
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Hybrid physics-AI outperforms numerical weather prediction for extreme precipitation nowcasting. [PDF]
NPJ Clim Atmos SciDas P +8 more
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Experiences in using INCA-CH precipitation nowcasting for Urban Flood Nowcasting
, 2019 Presentación realizada en la 3rd European Nowcasting Conference, celebrada en la sede central de AEMET en Madrid del 24 al 26 de abril de 2019.
Jordan, Frédéric +3 more
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Enhancing Radar Echo Extrapolation by ConvLSTM2D for Precipitation Nowcasting. [PDF]
Sensors (Basel)Naz F, She L, Sinan M, Shao J.
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trajPredRNN+: A new approach for precipitation nowcasting with weather radar echo images based on deep learning. [PDF]
HeliyonJi C, Xu Y.
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