1 citations · 1 across the 3 of their papers we have counts for
5 papers
A dataset of one-dimensional idealized probabilistic fields
Gregor Skok, Romain Pic
Verification of probabilistic weather forecasts remains a crucial aspect of numerical weather prediction, as new AI-based models become more widely used alongside the more traditio…
WP-MIP: An Artificial Intelligence, Hybrid, and Physically Based Model Intercomparison Project for Weather Prediction
Ron McTaggart-Cowan, Linus Magnusson, Inna Polichtchouk +57
Rapid progress in the field of machine-learning for weather prediction has led to the emergence of algorithms whose forecasting skill can exceed that of traditional physically base…
A Neural-Network Model-Measurement-Based Observation Operator For Weather Radar Reflectivity Assimilation
Marco Stefanelli, Žiga Zaplotnik, Gregor Skok
In three-dimensional variational data assimilation (3DVar) for numerical weather prediction (NWP), the observation operator plays a central role by mapping model stat…
Approximating the universal thermal climate index using sparse regression with orthogonal polynomials
Sabin Roman, Ljupco Todorovski, Saso Dzeroski +1
The Universal Thermal Climate Index (UTCI) is a measure of thermal comfort that quantifies how humans experience environmental conditions. Due to its robustness and versatility as…
Forecast error diagnostics in neural weather models
Uros Perkan, Ziga Zaplotnik, Gregor Skok
Deep-learning (DL) weather prediction models offer some notable advantages over traditional physics-based models, including auto-differentiability and low computational cost, enabl…