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 | 84 | 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 | 48 | 2023 |
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 | 31 | 2020 |
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 | 14 | 2022 |
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 | 13 | 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 | 13 | 2019 |
Latent diffusion models for generative precipitation nowcasting with accurate uncertainty quantification, arXiv J Leinonen, U Hamann, D Nerini, U Germann, G Franch arXiv preprint arXiv:2304.12891, 2023 | 7 | 2023 |
Automating global landslide detection with heterogeneous ensemble deep-learning classification AJ Ganerød, G Franch, E Lindsay, M Calovi Remote Sensing Applications: Society and Environment 36, 101384, 2024 | 3 | 2024 |
GPTCast: a weather language model for precipitation nowcasting G Franch, E Tomasi, R Wanjari, V Poli, C Cardinali, PP Alberoni, ... arXiv preprint arXiv:2407.02089, 2024 | 3 | 2024 |
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, M Pendesini | 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 |
Can AI be enabled to dynamical downscaling? A Latent Diffusion Model to mimic km-scale COSMO5. 0\_CLM9 simulations E Tomasi, G Franch, M Cristoforetti arXiv preprint arXiv:2406.13627, 2024 | 1 | 2024 |
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 a Latent Diffusion Model to mimic km-scale COSMO-CLM downscaling of ERA5 over Italy E Tomasi, G Franch, M Cristoforetti arXiv e-prints, arXiv: 2406.13627, 2024 | | 2024 |
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 EGU General Assembly Conference Abstracts, 10091, 2024 | | 2024 |
Nowcasting of extreme precipitation events: performance assessment of Generative Deep Learning methods G Franch, E Tomasi, R Umesh Wanjari, M Cristoforetti EGU General Assembly Conference Abstracts, 15431, 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 A Jarna Ganerød, G Franch, E Lindsay, M Calovi arXiv e-prints, arXiv: 2310.05959, 2023 | | 2023 |