CASCIARO, GABRIELE

CASCIARO, GABRIELE  

100024 - Dipartimento di Ingegneria civile, chimica e ambientale  

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Titolo Data di pubblicazione Autore(i) File
Calibrating the CAMS European multi-model air quality forecasts for regional air pollution monitoring 1-gen-2022 Casciaro, G; Cavaiola, M; Mazzino, A
Ensemble Machine Learning greatly improves ERA5 skills for wind energy applications 1-gen-2023 Cavaiola, M.; Tuju, P. E.; Ferrari, F.; Casciaro, G.; Mazzino, A.
Increasing the skill of short-term wind speed ensemble forecasts combining forecasts and observations via a new dynamic calibration 1-gen-2022 Casciaro, G.; Ferrari, F.; Lagomarsino Oneto, D.; Lira Loarca, A.; Mazzino, A.
Increasing the skill of short-term wind speed ensemble forecasts combining forecasts and observations via a new dynamic calibration 1-gen-2022 Casciaro, Gabriele; Ferrari, Francesco; Lagomarsino-Oneto, Daniele; Lira-Loarca, Andrea; Mazzino, Andrea
Novel strategies of Ensemble Model Output Statistics (EMOS) for calibrating wind speed/power forecasts 1-gen-2022 Casciaro, Gabriele; Ferrari, Francesco; Cavaiola, Mattia; Mazzino, Andrea
The added value of high-resolution downscaling of the ECMWF-EPS for extreme precipitation forecasting 1-gen-2022 Tuju, Pe; Ferrari, F; Casciaro, G; Mazzino, A