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"

26 / 26 papers shown

Title
Graph Neural Networks for Enhancing Ensemble Forecasts of Extreme Rainfall Christopher Bülte Sohir Maskey Philipp Scholl Jonas von Berg Gitta Kutyniok AI4CE 55 0 0 07 Apr 2025
Conditioning Diffusions Using Malliavin Calculus Jakiw Pidstrigach Elizabeth Baker Carles Domingo-Enrich George Deligiannidis Nikolas Nüsken DiffM 85 0 0 04 Apr 2025
Improving Predictions of Convective Storm Wind Gusts through Statistical Post-Processing of Neural Weather Models Antoine Leclerc Erwan Koch Monika Feldmann D. Nerini Tom Beucler 50 0 0 31 Mar 2025
Analogue Forecast System for Daily Precipitation Prediction Using Autoencoder Feature Extraction: Application in Hong Kong Yee Chun Tsoi Yu Ting Kwok Ming Chun Lam Wai Kin Wong 38 0 0 06 Jan 2025
Self-attentive Transformer for Fast and Accurate Postprocessing of Temperature and Wind Speed Forecasts Aaron Van Poecke Tobias Sebastian Finn Ruoke Meng Joris Van den Bergh Geert Smet Jonathan Demaeyer Piet Termonia Hossein Tabari Peter Hellinckx 95 0 0 18 Dec 2024
Distributional regression: CRPS-error bounds for model fitting, model selection and convex aggregation Clément Dombry Ahmed Zaoui 151 3 0 21 Nov 2024
Machine learning-based probabilistic forecasting of solar irradiance in Chile Sándor Baran Julio C. Marín Omar Cuevas Mailiu Díaz Marianna Dinyáné Szabó Orietta Nicolis Mária Lakatos 26 0 0 17 Nov 2024
Graph Neural Networks and Spatial Information Learning for Post-Processing Ensemble Weather Forecasts Moritz Feik Sebastian Lerch Jan Stühmer 30 0 0 08 Jul 2024
Distributional Regression U-Nets for the Postprocessing of Precipitation Ensemble Forecasts Romain Pic Clément Dombry Philippe Naveau Maxime Taillardat 76 0 0 02 Jul 2024
Proper Scoring Rules for Multivariate Probabilistic Forecasts based on Aggregation and Transformation Romain Pic Clément Dombry Philippe Naveau Maxime Taillardat AI4TS 70 0 0 30 Jun 2024
Improving Model Chain Approaches for Probabilistic Solar Energy Forecasting through Post-processing and Machine Learning Nina Horat Sina Klerings Sebastian Lerch AI4CE 24 4 0 06 Jun 2024
Evidential Deep Learning: Enhancing Predictive Uncertainty Estimation for Earth System Science Applications John S. Schreck D. Gagne Charlie Becker William E. Chapman K. Elmore ... Vanessa M. Pryzbylo Jacob T. Radford B. Saavedra Justin Willson Christopher D. Wirz BDL UD OOD UQCV EDL 30 9 0 22 Sep 2023
Postprocessing of Ensemble Weather Forecasts Using Permutation-invariant Neural Networks Kevin Höhlein Benedikt Schulz Rüdiger Westermann Sebastian Lerch 67 14 0 08 Sep 2023
Precipitation nowcasting with generative diffusion models Andrea Asperti Fabio Merizzi Alberto Paparella G. Pedrazzi M. Angelinelli Stefano Colamonaco DiffM 81 20 0 13 Aug 2023
Extreme heatwave sampling and prediction with analog Markov chain and comparisons with deep learning G. Miloshevich D. Lucente P. Yiou F. Bouchet BDL 98 7 0 18 Jul 2023
Isotonic conditional laws Sebastian Arnold J. Ziegel 19 2 0 18 Jul 2023
Statistical post-processing of visibility ensemble forecasts Sándor Baran Mária Lakatos 16 5 0 24 May 2023
Ensemble weather forecast post-processing with a flexible probabilistic neural network approach P. Mlakar J. Merse Jana Faganeli Pucer 59 4 0 29 Mar 2023
Stone's theorem for distributional regression in Wasserstein distance Clément Dombry Thibault Modeste Romain Pic 161 5 0 02 Feb 2023
Physics-constrained deep learning postprocessing of temperature and humidity Francesco Zanetta D. Nerini Tom Beucler M. Liniger AI4CE 30 5 0 07 Dec 2022
Generative machine learning methods for multivariate ensemble post-processing Jieyu Chen Tim Janke Florian Steinke Sebastian Lerch 95 31 0 26 Sep 2022
A two-step machine learning approach to statistical post-processing of weather forecasts for power generation Ágnes Baran Sándor Baran 24 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 70 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 100 5 0 09 May 2022
Convolutional autoencoders for spatially-informed ensemble post-processing Sebastian Lerch K. Polsterer 38 8 0 08 Apr 2022
Self-Attentive Ensemble Transformer: Representing Ensemble Interactions in Neural Networks for Earth System Models Tobias S. Finn 43 10 0 21 Jun 2021