On the challenge of precipitation nowcasting in the Canary Islands
Presentación realizada en: 4th European Nowcasting Conference, celebrada del 21 al 25 de marzo de 2022.
openaire +1 more source
This paper presents a deep learning architecture for nowcasting of precipitation almost globally every 30 min with a 4-hour lead time. The architecture fuses a U-Net and a convolutional long short-term memory (LSTM) neural network and is trained using ...
Ebtehaj, Ardeshir +5 more
core
Hybrid physics-AI outperforms numerical weather prediction for extreme precipitation nowcasting. [PDF]
Das P +8 more
europepmc +1 more source
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 Editors.
europepmc +1 more source
Experiences in using INCA-CH precipitation nowcasting for Urban Flood Nowcasting
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]
Naz F, She L, Sinan M, Shao J.
europepmc +1 more source
trajPredRNN+: A new approach for precipitation nowcasting with weather radar echo images based on deep learning. [PDF]
Ji C, Xu Y.
europepmc +1 more source
Multi-Source Temporal Attention Network for Precipitation Nowcasting
Precipitation nowcasting is crucial across various industries and plays a significant role in mitigating and adapting to climate change. We introduce an efficient deep learning model for precipitation nowcasting, capable of predicting rainfall up to 8 ...
Sjørup, Jeppe Liborius +5 more
core
Precipitation-aware sensor ecosystem modelling for performance-driven autonomous vehicle navigation. [PDF]
Kalra S, Beniwal R, Beniwal NS, Singh M.
europepmc +1 more source

