Segui
Gabriele Franch
Gabriele Franch
FBK, University of Trento
Email verificata su fbk.eu - Home page
Titolo
Citata da
Citata da
Anno
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
612020
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
252020
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
142023
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
102020
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
102019
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
72022
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
22023
TAASRAD19 Radar Scans 2017-2019
G Franch, V Maggio, L Coviello, G Jurman, C Furlanello, P Marta
22019
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
22016
TAASRAD19 Radar Sequences 2010-2019 HDF5
G Franch, V Maggio, L Coviello, G Jurman, C Furlanello, M Pendesini
12020
TAASRAD19 Radar Sequences 2010-2019 NetCDF
G Franch, V Maggio, L Coviello, G Jurman, C Furlanello, M Pendesini
12020
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
Il sistema al momento non può eseguire l'operazione. Riprova più tardi.
Articoli 1–19