16 citations · 16 across the 4 of their papers we have counts for
4 papers
Windows of opportunity in subseasonal weather regime forecasting: A statistical-dynamical approach
Fabian Mockert, Christian M. Grams, Sebastian Lerch +1
MJO and SPV are prominent sources of subseasonal predictability in the Extratropics. With relevance for European weather it has been shown that the joint interaction of MJO and the…
Improving Model Chain Approaches for Probabilistic Solar Energy Forecasting through Post-processing and Machine Learning
Nina Horat, Sina Klerings, Sebastian Lerch
Weather forecasts from numerical weather prediction models play a central role in solar energy forecasting, where a cascade of physics-based models is used in a model chain approac…
Multivariate post-processing of probabilistic sub-seasonal weather regime forecasts
Fabian Mockert, Christian M. Grams, Sebastian Lerch +2
Reliable forecasts of quasi-stationary, recurrent, and persistent large-scale atmospheric circulation patterns (weather regimes) are crucial for various socio-economic sectors. Des…
Uncertainty quantification for data-driven weather models
Christopher Bülte, Nina Horat, Julian Quinting +1
Artificial intelligence (AI)-based data-driven weather forecasting models have experienced rapid progress over the last years. Recent studies, with models trained on reanalysis dat…