Precipitation nowcasting with orographic enhanced stacked generalization: Improving deep learning predictions on extreme events G Franch, D Nerini, M Pendesini, L Coviello, G Jurman, C Furlanello Atmosphere 11 (3), 267, 2020 | 63 | 2020 |
TAASRAD19, a high-resolution weather radar reflectivity dataset for precipitation nowcasting G Franch, V Maggio, L Coviello, M Pendesini, G Jurman, C Furlanello Scientific Data 7 (1), 234, 2020 | 26 | 2020 |
Latent diffusion models for generative precipitation nowcasting with accurate uncertainty quantification J Leinonen, U Hamann, D Nerini, U Germann, G Franch arXiv preprint arXiv:2304.12891, 2023 | 19 | 2023 |
Multiple geometry atmospheric correction for image spectroscopy using deep learning F Xu, G Cervone, G Franch, M Salvador Journal of Applied Remote Sensing 14 (2), 024518-024518, 2020 | 11 | 2020 |
MASS-UMAP: Fast and accurate analog ensemble search in weather radar archives G Franch, G Jurman, L Coviello, M Pendesini, C Furlanello Remote Sensing 11 (24), 2922, 2019 | 10 | 2019 |
Meteonetwork: An open crowdsourced weather data system M Giazzi, G Peressutti, L Cerri, M Fumi, IF Riva, A Chini, G Ferrari, G Cioni, ... Atmosphere 13 (6), 928, 2022 | 9 | 2022 |
Ensemble precipitation nowcasting by combination of generative and transformer deep learning models G Franch, E Tomasi, V Poli, C Cardinali, M Cristoforetti, PP Alberoni EGU General Assembly Conference Abstracts, EGU-15153, 2023 | 2 | 2023 |
TAASRAD19 Radar Scans 2017-2019 G Franch, V Maggio, L Coviello, G Jurman, C Furlanello, P Marta | 2 | 2019 |
Deep learning for rain and lightning nowcasting G Franch, A Nardelli, C Zarbo, V Maggio, G Jurman, C Furlanello Advances in Neural Information Processing Systems 29, 2016 | 2 | 2016 |
TAASRAD19 Radar Sequences 2010-2019 HDF5 G Franch, V Maggio, L Coviello, G Jurman, C Furlanello, M Pendesini | 1 | 2020 |
TAASRAD19 Radar Sequences 2010-2019 NetCDF G Franch, V Maggio, L Coviello, G Jurman, C Furlanello, M Pendesini | 1 | 2020 |
Can AI be enabled to dynamical downscaling? Training Deep Generative Models to downscale ERA5 to high-resolution COSMO-CLM dynamical reanalyses over Italy E Tomasi, G Franch, M Cristoforetti EGU24, 2024 | | 2024 |
Nowcasting of extreme precipitation events: performance assessment of Generative Deep Learning methods G Franch, E Tomasi, RU Wanjari, M Cristoforetti EGU24, 2024 | | 2024 |
Can AI Models Perform Dynamical Downscaling? Training Deep Generative Models to Downscale ERA5 Variables to High-Resolution COSMO-CLM Dynamical Reanalyses over Italy E Tomasi, G Franch, M Cristoforetti 104th AMS Annual Meeting, 2024 | | 2024 |
Automating global landslide detection with heterogeneous ensemble deep-learning classification AJ Ganerød, G Franch, E Lindsay, M Calovi arXiv preprint arXiv:2310.05959, 2023 | | 2023 |
Automating global landslide detection with heterogeneous ensemble deep-learning classification A Jarna Ganerød, G Franch, E Lindsay, M Calovi arXiv e-prints, arXiv: 2310.05959, 2023 | | 2023 |
Deep Learning for Spatiotemporal Nowcasting G Franch Università degli studi di Trento, 2021 | | 2021 |
TAASRAD19 Radar Sequences 2010-2019 G Franch, V Maggio, L Coviello, G Jurman, C Furlanello, P Marta | | 2019 |
Wireless mapping and localization in urban areas: a practical approach G Franch, D De Martini | | 2010 |