| Machine learning feature selection methods for landslide susceptibility mapping N Micheletti, L Foresti, S Robert, M Leuenberger, A Pedrazzini, ... Mathematical Geosciences 46 (1), 33-57, 2014 | 267 | 2014 |
| Pysteps: An open-source Python library for probabilistic precipitation nowcasting (v1. 0) S Pulkkinen, D Nerini, AA Pérez Hortal, C Velasco-Forero, A Seed, ... Geoscientific Model Development 12 (10), 4185-4219, 2019 | 201 | 2019 |
| Development and verification of a real-time stochastic precipitation nowcasting system for urban hydrology in Belgium L Foresti, M Reyniers, A Seed, L Delobbe Hydrology and Earth System Sciences 20 (1), 505-527, 2016 | 90 | 2016 |
| A non-stationary stochastic ensemble generator for radar rainfall fields based on the short-space Fourier transform D Nerini, N Besic, I Sideris, U Germann, L Foresti Hydrology and Earth System Sciences 21 (6), 2777-2797, 2017 | 64 | 2017 |
| Using a 10-year radar archive for nowcasting precipitation growth and decay: A probabilistic machine learning approach L Foresti, IV Sideris, D Nerini, L Beusch, U Germann Weather and Forecasting 34 (5), 1547-1569, 2019 | 59 | 2019 |
| Learning wind fields with multiple kernels L Foresti, D Tuia, M Kanevski, A Pozdnoukhov Stochastic Environmental Research and Risk Assessment 25, 51-66, 2011 | 50 | 2011 |
| Spatial prediction of monthly wind speeds in complex terrain with adaptive general regression neural networks. S Robert, L Foresti, M Kanevski International Journal of Climatology 33 (7), 2013 | 47 | 2013 |
| Retrieval of analogue radar images for ensemble nowcasting of orographic rainfall L Foresti, L Panziera, PV Mandapaka, U Germann, A Seed Meteorological Applications 22 (2), 141-155, 2015 | 45 | 2015 |
| Estimating the occurrence and severity of hail based on 10 years of observations from weather radar in B elgium M Lukach, L Foresti, O Giot, L Delobbe Meteorological Applications 24 (2), 250-259, 2017 | 40 | 2017 |
| A reduced-space ensemble Kalman filter approach for flow-dependent integration of radar extrapolation nowcasts and NWP precipitation ensembles D Nerini, L Foresti, D Leuenberger, S Robert, U Germann Monthly Weather Review 147 (3), 987-1006, 2019 | 39 | 2019 |
| Satellite-based rainfall retrieval: From generalized linear models to artificial neural networks L Beusch, L Foresti, M Gabella, U Hamann Remote Sensing 10 (6), 939, 2018 | 35 | 2018 |
| Exploration of alpine orographic precipitation patterns with radar image processing and clustering techniques L Foresti, A Pozdnoukhov Meteorological Applications 19 (4), 407-419, 2012 | 34 | 2012 |
| Landslide susceptibility mapping using adaptive support vector machines and feature selection N Micheletti, L Foresti, M Kanevski, A Pedrazzini, M Jaboyedoff Geophysical Research Abstracts, EGU 13, 2011 | 33 | 2011 |
| A 10‐year radar‐based analysis of orographic precipitation growth and decay patterns over the Swiss Alpine region L Foresti, IV Sideris, L Panziera, D Nerini, U Germann Quarterly Journal of the Royal Meteorological Society 144 (716), 2277-2301, 2018 | 30 | 2018 |
| NowPrecip: Localized precipitation nowcasting in the complex terrain of Switzerland IV Sideris, L Foresti, D Nerini, U Germann Quarterly Journal of the Royal Meteorological Society 146 (729), 1768-1800, 2020 | 29 | 2020 |
| Exploring the potential of multivariate depth‐damage and rainfall‐damage models L Van Ootegem, K Van Herck, T Creten, E Verhofstadt, L Foresti, ... Journal of Flood Risk Management 11, S916-S929, 2018 | 28 | 2018 |
| Data-driven topo-climatic mapping with machine learning methods A Pozdnoukhov, L Foresti, M Kanevski Natural hazards 50, 497-518, 2009 | 25 | 2009 |
| The effect of flow and orography on the spatial distribution of the very short-term predictability of rainfall from composite radar images L Foresti, A Seed Hydrology and Earth System Sciences 18 (11), 4671-4686, 2014 | 24 | 2014 |
| On the spatial distribution of rainfall nowcasting errors due to orographic forcing L Foresti, A Seed Meteorological Applications 22 (1), 60-74, 2015 | 21 | 2015 |
| Extreme precipitation modelling using geostatistics and machine learning algorithms L Foresti, A Pozdnoukhov, D Tuia, M Kanevski geoENV VII–Geostatistics for Environmental Applications, 41-52, 2010 | 21 | 2010 |
Daniele NeriniMeteoSwiss在 meteoswiss.ch 的电子邮件经过验证
