Daniele Nerini

发表

A Reduced-Space Ensemble Kalman Filter Approach for Flow-Dependent Integration of Radar Extrapolation Nowcasts and NWP Precipitation Ensembles

Daniele Nerini, Loris Foresti, Daniel Leuenberger, 2019, Monthly Weather Review.

pySTEPS/pysteps: pysteps 1.0.1

Petteri Karsisto, Daniele Nerini, Loris Foresti, 2019 .

Using a 10-Year Radar Archive for Nowcasting Precipitation Growth and Decay: A Probabilistic Machine Learning Approach

Daniele Nerini, Loris Foresti, Urs Germann, 2019, Weather and Forecasting.

Ensemble precipitation nowcasting: limits to prediction, localization and seamless blending

Daniele Nerini, 2019 .

Pysteps: an open-source Python library for probabilistic precipitation nowcasting (v1.0)

Daniele Nerini, Loris Foresti, Andrés A. Pérez Hortal, 2019 .

Stochastic Super-Resolution for Downscaling Time-Evolving Atmospheric Fields with a Generative Adversarial Network pdf

Jussi Leinonen, Daniele Nerini, Alexis Berne, 2020, ArXiv.

Precipitation Nowcasting with Orographic Enhanced Stacked Generalization: Improving Deep Learning Predictions on Extreme Events

Cesare Furlanello, Gabriele Franch, Luca Coviello, 2020, Atmosphere.

Nowcasting orographic precipitation growth and decay using machine learning algorithms on a 10-year radar archive in the Swiss Alps

Luca Panziera, Daniele Nerini, Loris Foresti, 2018 .

A Comparative Analysis of TRMM-Rain Gauge Data Merging Techniques at the Daily Time Scale for Distributed Rainfall-Runoff Modeling Applications

Christian Onof, Wouter Buytaert, Daniele Nerini, 2015 .