Franch, Gabriele
Franch, Gabriele
DSIP
AI for high-resolution climate data: downscaling climate projections and decadal predictions with a deep learning Latent Diffusion Model
2025-01-01 Tomasi, Elena; Franch, Gabriele; Calmanti, Sandro; Cristoforetti, Marco
AI-based reconstruction of European temperature and precipitation anomalies from the Euro-Atlantic weather regimes
2025-01-01 Camilletti, Alessandro; Tomasi, Elena; Franch, Gabriele; Cristoforetti, Marco
Automating global landslide detection with heterogeneous ensemble deep-learning classification
2024-01-01 Ganerød, Alexandra Jarna; Franch, Gabriele; Lindsay, Erin; Calovi, Martina
Can AI be enabled to dynamical downscaling? A Latent Diffusion Model to mimic km-scale COSMO5.0\_CLM9 simulations
2024-01-01 Tomasi, Elena; Franch, Gabriele; Cristoforetti, Marco
Can AI be enabled to dynamical downscaling? Training Deep Generative Models to downscale ERA5 to high-resolution COSMO-CLM dynamical reanalyses over Italy
2024-01-01 Tomasi, Elena; Franch, Gabriele; Cristoforetti, Marco
Deep Learning for rain and lightning nowcasting
2016-01-01 Franch, Gabriele; Nardelli, Andrea; Zarbo, Calogero; Maggio, Valerio; Jurman, Giuseppe; Furlanello, Cesare
Deep Learning for Spatiotemporal Nowcasting
2021-01-01 Franch, Gabriele
Ensemble precipitation nowcasting by combination of generative and transformer deep learning models
2023-01-01 Franch, Gabriele; Tomasi, Elena; Poli, Virginia; Cardinali, Chiara; Cristoforetti, Marco; Paolo Alberoni, Pier
GPTCast: a weather language model for precipitation nowcasting
2024-01-01 Franch, Gabriele; Tomasi, Elena; Wanjari, Rishabh; Poli, Virginia; Cardinali, Chiara; Paolo Alberoni, Pier; Cristoforetti, Marco
MASS-UMAP: Fast and Accurate Analog Ensemble Search in Weather Radar Archives
2019-01-01 Franch, Gabriele; Jurman, Giuseppe; Coviello, Luca; Pendesini, Marta; Furlanello, Cesare
Meteonetwork: An Open Crowdsourced Weather Data System
2022-01-01 Giazzi, Marco; Peressutti, Gianandrea; Cerri, Luca; Fumi, Matteo; Francesca Riva, Isabella; Chini, Andrea; Ferrari, Gianluca; Cioni, Guido; Franch, Gabriele; Tartari, Gianni; Galbiati, Flavio; Condemi, Vincenzo; Ceppi, Alessandro
Multiple geometry atmospheric correction for image spectroscopy using deep learning
2020-01-01 Xu, Fangcao; Cervone, Guido; Franch, Gabriele; Salvador, Mark
Nowcasting of extreme precipitation events: performance assessment of Generative Deep Learning methods
2024-01-01 Franch, Gabriele; Tomasi, Elena; Wanjari, Rishabh Umesh; Cristoforetti, Marco
Precipitation Nowcasting with Orographic Enhanced Stacked Generalization: Improving Deep Learning Predictions on Extreme Events
2020-01-01 Franch, Gabriele; Nerini, Daniele; Pendesini, Marta; Coviello, Luca; Jurman, Giuseppe; Furlanello, Cesare
RUSH: A Novel Fully AI-driven Framework for Seamless Integration of Observations and Global AI Forecasts in Short-term Weather Prediction
2025-01-01 Franch, Gabriele; Tomasi, Elena; de Kock, Simon; Angelinelli, Matteo; Cristoforetti, Marco
TAASRAD19 Radar Scans 2010-2016
2019-01-01 Franch, Gabriele; Maggio, Valerio; Coviello, Luca; Jurman, Giuseppe; Furlanello, Cesare; Pendesini, Marta
TAASRAD19 Radar Scans 2017-2019
2019-01-01 Franch, Gabriele; Maggio, Valerio; Coviello, Luca; Jurman, Giuseppe; Furlanello, Cesare; Pendesini, Marta
TAASRAD19 Radar Sequences 2010-2019
2019-01-01 Franch, Gabriele; Maggio, Valerio; Coviello, Luca; Jurman, Giuseppe; Furlanello, Cesare; Pendesini, Marta
TAASRAD19 Radar Sequences 2010-2019 HDF5
2020-01-01 Franch, Gabriele; Maggio, Valerio; Coviello, Luca; Jurman, Giuseppe; Furlanello, Cesare; Pendesini, Marta
TAASRAD19 Radar Sequences 2010-2019 NetCDF
2020-01-01 Franch, Gabriele; Maggio, Valerio; Coviello, Luca; Jurman, Giuseppe; Furlanello, Cesare; Pendesini, Marta
| Titolo | Data di pubblicazione | Autore(i) | File |
|---|---|---|---|
| AI for high-resolution climate data: downscaling climate projections and decadal predictions with a deep learning Latent Diffusion Model | 1-gen-2025 | Tomasi, Elena; Franch, Gabriele; Calmanti, Sandro; Cristoforetti, Marco | |
| AI-based reconstruction of European temperature and precipitation anomalies from the Euro-Atlantic weather regimes | 1-gen-2025 | Camilletti, Alessandro; Tomasi, Elena; Franch, Gabriele; Cristoforetti, Marco | |
| Automating global landslide detection with heterogeneous ensemble deep-learning classification | 1-gen-2024 | Ganerød, Alexandra Jarna; Franch, Gabriele; Lindsay, Erin; Calovi, Martina | |
| Can AI be enabled to dynamical downscaling? A Latent Diffusion Model to mimic km-scale COSMO5.0\_CLM9 simulations | 1-gen-2024 | Tomasi, Elena; Franch, Gabriele; Cristoforetti, Marco | |
| Can AI be enabled to dynamical downscaling? Training Deep Generative Models to downscale ERA5 to high-resolution COSMO-CLM dynamical reanalyses over Italy | 1-gen-2024 | Tomasi, Elena; Franch, Gabriele; Cristoforetti, Marco | |
| Deep Learning for rain and lightning nowcasting | 1-gen-2016 | Franch, Gabriele; Nardelli, Andrea; Zarbo, Calogero; Maggio, Valerio; Jurman, Giuseppe; Furlanello, Cesare | |
| Deep Learning for Spatiotemporal Nowcasting | 1-gen-2021 | Franch, Gabriele | |
| Ensemble precipitation nowcasting by combination of generative and transformer deep learning models | 1-gen-2023 | Franch, Gabriele; Tomasi, Elena; Poli, Virginia; Cardinali, Chiara; Cristoforetti, Marco; Paolo Alberoni, Pier | |
| GPTCast: a weather language model for precipitation nowcasting | 1-gen-2024 | Franch, Gabriele; Tomasi, Elena; Wanjari, Rishabh; Poli, Virginia; Cardinali, Chiara; Paolo Alberoni, Pier; Cristoforetti, Marco | |
| MASS-UMAP: Fast and Accurate Analog Ensemble Search in Weather Radar Archives | 1-gen-2019 | Franch, Gabriele; Jurman, Giuseppe; Coviello, Luca; Pendesini, Marta; Furlanello, Cesare | |
| Meteonetwork: An Open Crowdsourced Weather Data System | 1-gen-2022 | Giazzi, Marco; Peressutti, Gianandrea; Cerri, Luca; Fumi, Matteo; Francesca Riva, Isabella; Chini, Andrea; Ferrari, Gianluca; Cioni, Guido; Franch, Gabriele; Tartari, Gianni; Galbiati, Flavio; Condemi, Vincenzo; Ceppi, Alessandro | |
| Multiple geometry atmospheric correction for image spectroscopy using deep learning | 1-gen-2020 | Xu, Fangcao; Cervone, Guido; Franch, Gabriele; Salvador, Mark | |
| Nowcasting of extreme precipitation events: performance assessment of Generative Deep Learning methods | 1-gen-2024 | Franch, Gabriele; Tomasi, Elena; Wanjari, Rishabh Umesh; Cristoforetti, Marco | |
| Precipitation Nowcasting with Orographic Enhanced Stacked Generalization: Improving Deep Learning Predictions on Extreme Events | 1-gen-2020 | Franch, Gabriele; Nerini, Daniele; Pendesini, Marta; Coviello, Luca; Jurman, Giuseppe; Furlanello, Cesare | |
| RUSH: A Novel Fully AI-driven Framework for Seamless Integration of Observations and Global AI Forecasts in Short-term Weather Prediction | 1-gen-2025 | Franch, Gabriele; Tomasi, Elena; de Kock, Simon; Angelinelli, Matteo; Cristoforetti, Marco | |
| TAASRAD19 Radar Scans 2010-2016 | 1-gen-2019 | Franch, Gabriele; Maggio, Valerio; Coviello, Luca; Jurman, Giuseppe; Furlanello, Cesare; Pendesini, Marta | |
| TAASRAD19 Radar Scans 2017-2019 | 1-gen-2019 | Franch, Gabriele; Maggio, Valerio; Coviello, Luca; Jurman, Giuseppe; Furlanello, Cesare; Pendesini, Marta | |
| TAASRAD19 Radar Sequences 2010-2019 | 1-gen-2019 | Franch, Gabriele; Maggio, Valerio; Coviello, Luca; Jurman, Giuseppe; Furlanello, Cesare; Pendesini, Marta | |
| TAASRAD19 Radar Sequences 2010-2019 HDF5 | 1-gen-2020 | Franch, Gabriele; Maggio, Valerio; Coviello, Luca; Jurman, Giuseppe; Furlanello, Cesare; Pendesini, Marta | |
| TAASRAD19 Radar Sequences 2010-2019 NetCDF | 1-gen-2020 | Franch, Gabriele; Maggio, Valerio; Coviello, Luca; Jurman, Giuseppe; Furlanello, Cesare; Pendesini, Marta |