1 citations · 1 across the 5 of their papers we have counts for
5 papers
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…
Participatory AI: A Scandinavian Approach to Human-Centered AI
Niklas Elmqvist, Eve Hoggan, Hans-Jörg Schulz +45
AI's transformative impact on work, education, and everyday life makes it as much a political artifact as a technological one. Current AI models are opaque, centralized, and overly…
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…
RainAI -- Precipitation Nowcasting from Satellite Data
Rafael Pablos Sarabia, Joachim Nyborg, Morten Birk +1
This paper presents a solution to the Weather4Cast 2023 competition, where the goal is to forecast high-resolution precipitation with an 8-hour lead time using lower-resolution sat…