3 papers
physics.ao-ph2025
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…
physics.ao-ph2025
A unified neural background-error covariance model for midlatitude and tropical atmospheric data assimilation
Boštjan Melinc, Uroš Perkan, Žiga Zaplotnik
Estimating background-error covariances remains a core challenge in variational data assimilation (DA). Operational systems typically approximate these covariances by transformatio…
q-bio.PE2020
Simulation of the COVID-19 pandemic on the social network of Slovenia: estimating the intrinsic forecast uncertainty
Ziga Zaplotnik, Aleksandar Gavric, Luka Medic
In the article a virus transmission model is constructed on a simplified social network. The social network consists of more than 2 million nodes, each representing an inhabitant o…