Machine learning methods for postprocessing ensemble forecasts of wind gusts: A systematic comparison

17 June 2021

Papers citing "Machine learning methods for postprocessing ensemble forecasts of wind gusts: A systematic comparison"

9 / 9 papers shown

Title
Conditioning Diffusions Using Malliavin Calculus Jakiw Pidstrigach Elizabeth Baker Carles Domingo-Enrich George Deligiannidis Nikolas Nüsken DiffM 40 1 0 04 Apr 2025
Precipitation nowcasting with generative diffusion models Andrea Asperti Fabio Merizzi Alberto Paparella G. Pedrazzi M. Angelinelli Stefano Colamonaco DiffM 43 19 0 13 Aug 2023
Ensemble weather forecast post-processing with a flexible probabilistic neural network approach P. Mlakar J. Merse Jana Faganeli Pucer 22 4 0 29 Mar 2023
Stone's theorem for distributional regression in Wasserstein distance Clément Dombry Thibault Modeste Romain Pic 21 4 0 02 Feb 2023
A two-step machine learning approach to statistical post-processing of weather forecasts for power generation Ágnes Baran Sándor Baran 13 6 0 15 Jul 2022
Analysis, Characterization, Prediction and Attribution of Extreme Atmospheric Events with Machine Learning: a Review S. Salcedo-Sanz Jorge Pérez-Aracil G. Ascenso Javier Del Ser D. Casillas-Pérez ... D. Barriopedro R. García-Herrera Marcello Restelli M. Giuliani A. Castelletti AI4Cl 25 13 0 03 Jun 2022
Distributional regression and its evaluation with the CRPS: Bounds and convergence of the minimax risk Romain Pic Clément Dombry Philippe Naveau Maxime Taillardat 13 5 0 09 May 2022
Convolutional autoencoders for spatially-informed ensemble post-processing Sebastian Lerch K. Polsterer 13 8 0 08 Apr 2022
ranger: A Fast Implementation of Random Forests for High Dimensional Data in C++ and R Marvin N. Wright A. Ziegler 113 2,735 0 18 Aug 2015