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2106.09512
Cited By
Machine learning methods for postprocessing ensemble forecasts of wind gusts: A systematic comparison
Monthly Weather Review (MWR), 2021
17 June 2021
Benedikt Schulz
Sebastian Lerch
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Papers citing
"Machine learning methods for postprocessing ensemble forecasts of wind gusts: A systematic comparison"
31 / 31 papers shown
Achieving Skilled and Reliable Daily Probabilistic Forecasts of Wind Power at Subseasonal-to-Seasonal Timescales over France
Eloi Lindas
Yannig Goude
Philippe Ciais
190
0
0
20 Nov 2025
Quantile Regression, Variational Autoencoders, and Diffusion Models for Uncertainty Quantification: A Spatial Analysis of Sub-seasonal Wind Speed Prediction
Ganglin Tian
Anastase Alexandre Charantonis
Camille Le Coz
Alexis Tantet
Riwal Plougonven
DiffM
BDL
193
0
0
19 Oct 2025
CNN-based Surface Temperature Forecasts with Ensemble Numerical Weather Prediction
Takuya Inoue
Takuya Kawabata
AI4Cl
112
1
0
25 Jul 2025
Bayesian Deep Learning for Convective Initiation Nowcasting Uncertainty Estimation
Da Fan
David John Gagne II
S. Greybush
E. Clothiaux
John S. Schreck
Chaopeng Shen
UQCV
BDL
280
0
0
22 Jul 2025
Improving Medium Range Severe Weather Prediction through Transformer Post-processing of AI Weather Forecasts
Zhanxiang Hua
Ryan Sobash
David John Gagne II
Yingkai Sha
Alexandra Anderson-Frey
418
0
0
16 May 2025
Graph Neural Networks for Enhancing Ensemble Forecasts of Extreme Rainfall
Christopher Bülte
Sohir Maskey
Philipp Scholl
Jonas von Berg
Gitta Kutyniok
AI4CE
268
4
0
07 Apr 2025
Conditioning Diffusions Using Malliavin Calculus
Jakiw Pidstrigach
Elizabeth Baker
Carles Domingo-Enrich
George Deligiannidis
Nikolas Nüsken
DiffM
458
3
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
355
1
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
279
0
0
06 Jan 2025
Self-attentive Transformer for Fast and Accurate Postprocessing of Temperature and Wind Speed Forecasts
Artificial Intelligence for the Earth Systems (AI4ES), 2024
Aaron Van Poecke
Tobias Sebastian Finn
Ruoke Meng
Joris Van den Bergh
Geert Smet
Jonathan Demaeyer
Piet Termonia
Hossein Tabari
Peter Hellinckx
394
4
0
18 Dec 2024
Distributional regression: CRPS-error bounds for model fitting, model selection and convex aggregation
Neural Information Processing Systems (NeurIPS), 2024
Clément Dombry
Ahmed Zaoui
474
3
0
21 Nov 2024
Machine learning-based probabilistic forecasting of solar irradiance in Chile
Advances in Statistical Climatology, Meteorology and Oceanography (ASCMO), 2024
Sándor Baran
Julio C. Marín
Omar Cuevas
Mailiu Díaz
Marianna Dinyáné Szabó
Orietta Nicolis
Mária Lakatos
322
7
0
17 Nov 2024
Graph Neural Networks and Spatial Information Learning for Post-Processing Ensemble Weather Forecasts
Moritz Feik
Sebastian Lerch
Jan Stühmer
216
3
0
08 Jul 2024
Distributional Regression U-Nets for the Postprocessing of Precipitation Ensemble Forecasts
Romain Pic
Clément Dombry
Philippe Naveau
Maxime Taillardat
265
1
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
320
8
0
30 Jun 2024
Improving Model Chain Approaches for Probabilistic Solar Energy Forecasting through Post-processing and Machine Learning
Advances in Atmospheric Sciences (Adv. Atmos. Sci.), 2024
Nina Horat
Sina Klerings
Sebastian Lerch
AI4CE
155
25
0
06 Jun 2024
Evidential Deep Learning: Enhancing Predictive Uncertainty Estimation for Earth System Science Applications
Artificial Intelligence for the Earth Systems (AI4ES), 2023
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
437
26
0
22 Sep 2023
Postprocessing of Ensemble Weather Forecasts Using Permutation-invariant Neural Networks
Artificial Intelligence for the Earth Systems (AI4ES), 2023
Kevin Höhlein
Benedikt Schulz
Rüdiger Westermann
Sebastian Lerch
336
21
0
08 Sep 2023
Precipitation nowcasting with generative diffusion models
Andrea Asperti
Fabio Merizzi
Alberto Paparella
G. Pedrazzi
M. Angelinelli
Stefano Colamonaco
DiffM
316
40
0
13 Aug 2023
Extreme heatwave sampling and prediction with analog Markov chain and comparisons with deep learning
Environmental Data Science (EDS), 2023
G. Miloshevich
D. Lucente
P. Yiou
F. Bouchet
BDL
374
17
0
18 Jul 2023
Isotonic conditional laws
Bernoulli (Bernoulli), 2023
Sebastian Arnold
J. Ziegel
313
3
0
18 Jul 2023
Statistical post-processing of visibility ensemble forecasts
Meteorological Applications (Meteorol. Appl.), 2023
Sándor Baran
Mária Lakatos
117
6
0
24 May 2023
Ensemble weather forecast post-processing with a flexible probabilistic neural network approach
Quarterly Journal of the Royal Meteorological Society (QJRMS), 2023
P. Mlakar
J. Merse
Jana Faganeli Pucer
396
8
0
29 Mar 2023
Stone's theorem for distributional regression in Wasserstein distance
Clément Dombry
Thibault Modeste
Romain Pic
351
6
0
02 Feb 2023
Physics-constrained deep learning postprocessing of temperature and humidity
Artificial Intelligence for the Earth Systems (AIES), 2022
Francesco Zanetta
D. Nerini
Tom Beucler
M. Liniger
AI4CE
232
11
0
07 Dec 2022
Generative machine learning methods for multivariate ensemble post-processing
Annals of Applied Statistics (AOAS), 2022
Jieyu Chen
Tim Janke
Florian Steinke
Sebastian Lerch
318
41
0
26 Sep 2022
A two-step machine learning approach to statistical post-processing of weather forecasts for power generation
Quarterly Journal of the Royal Meteorological Society (QJRMS), 2022
Ágnes Baran
Sándor Baran
163
8
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
366
16
0
03 Jun 2022
Distributional regression and its evaluation with the CRPS: Bounds and convergence of the minimax risk
International Journal of Forecasting (IJF), 2022
Romain Pic
Clément Dombry
Philippe Naveau
Maxime Taillardat
487
8
0
09 May 2022
Convolutional autoencoders for spatially-informed ensemble post-processing
Sebastian Lerch
K. Polsterer
216
12
0
08 Apr 2022
Self-Attentive Ensemble Transformer: Representing Ensemble Interactions in Neural Networks for Earth System Models
Tobias S. Finn
243
12
0
21 Jun 2021
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