معرفی
Manfred Dorninger serves as Associate Professor in the Department of Meteorology and Geophysics at the University of Vienna's Faculty of Earth Sciences, Geography and Astronomy. His research spans meteorological modeling, renewable energy systems, and atmospheric observation techniques.
His primary research interests focus on weather forecasting in complex terrain, cloud physics and classification, lightning phenomena, and renewable energy integration. Recent work leverages machine learning for ground-based cloud observations and improves photovoltaic efficiency under variable cloud conditions. His fingerprint analysis reveals significant contributions to Complex Terrain (100%), Lightning (72%), and Weather Forecast (42%) research domains.
Analysis of his 111 publications shows increasing emphasis on AI-driven meteorological analysis (2024-2025), with recent papers developing neural network ensembles for cloud classification and novel metrics for ensemble forecast verification. His work bridges fundamental atmospheric science with practical applications in renewable energy and weather impact assessment.
He has led significant research projects including NWP-Modellverifikation (2008-2011) and actively participates in the MesoVICT (Mesoscale Verification in Complex Terrain) initiative. His 120 recorded activities include 78 scientific talks and 38 poster presentations, demonstrating extensive knowledge dissemination.
Dorninger maintains strong collaborative networks with researchers like Markus Rosenberger and Martin Weißmann, focusing on computational meteorology and atmospheric observation systems. His laboratory work centers on ground-based optical radar systems and neural network applications for weather parameter analysis.
