61 citations · 62 across the 6 of their papers we have counts for
3 papers · 1 filter
From Drops to Grid: Noise-Aware Spatio-Temporal Neural Process for Rainfall Estimation
Rafael Pablos Sarabia, Joachim Nyborg, Morten Birk +1
High-resolution rainfall observations are crucial for weather forecasting, water management, and hazard mitigation. Traditional operational measurements are often biased and low-re…
RainPro-8: An Efficient Deep Learning Model to Estimate Rainfall Probabilities Over 8 Hours
Rafael Pablos Sarabia, Joachim Nyborg, Morten Birk +3
We present a deep learning model for high-resolution probabilistic precipitation forecasting over an 8-hour horizon in Europe, overcoming the limitations of radar-only deep learnin…
Multi-Source Temporal Attention Network for Precipitation Nowcasting
Rafael Pablos Sarabia, Joachim Nyborg, Morten Birk +3
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 mod…