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Neural networks for post-processing ensemble weather forecasts

Neural networks for post-processing ensemble weather forecasts

23 May 2018
S. Rasp
Sebastian Lerch
ArXivPDFHTML

Papers citing "Neural networks for post-processing ensemble weather forecasts"

36 / 36 papers shown
Title
An Axiomatic Assessment of Entropy- and Variance-based Uncertainty Quantification in Regression
An Axiomatic Assessment of Entropy- and Variance-based Uncertainty Quantification in Regression
Christopher Bülte
Yusuf Sale
Timo Löhr
Paul Hofman
Gitta Kutyniok
Eyke Hüllermeier
UD
65
0
0
25 Apr 2025
Conditioning Diffusions Using Malliavin Calculus
Conditioning Diffusions Using Malliavin Calculus
Jakiw Pidstrigach
Elizabeth Baker
Carles Domingo-Enrich
George Deligiannidis
Nikolas Nüsken
DiffM
38
0
0
04 Apr 2025
Physically Constrained Generative Adversarial Networks for Improving Precipitation Fields from Earth System Models
Physically Constrained Generative Adversarial Networks for Improving Precipitation Fields from Earth System Models
P. Hess
Markus Drüke
S. Petri
Felix M. Strnad
Niklas Boers
38
60
0
03 Jan 2025
Regional Weather Variable Predictions by Machine Learning with Near-Surface Observational and Atmospheric Numerical Data
Regional Weather Variable Predictions by Machine Learning with Near-Surface Observational and Atmospheric Numerical Data
Yihe Zhang
Bryce Turney
Purushottam Sigdel
Xu Yuan
Eric Rappin
...
Lu Peng
Sercan Aygün
Yazhou Tu
M. H. Najafi
N. Tzeng
75
1
0
11 Dec 2024
MVG-CRPS: A Robust Loss Function for Multivariate Probabilistic Forecasting
MVG-CRPS: A Robust Loss Function for Multivariate Probabilistic Forecasting
Vincent Zhihao Zheng
Lijun Sun
AI4TS
40
1
0
11 Oct 2024
Improving probabilistic forecasts of extreme wind speeds by training statistical post-processing models with weighted scoring rules
Improving probabilistic forecasts of extreme wind speeds by training statistical post-processing models with weighted scoring rules
Jakob Benjamin Wessel
Christopher A. T. Ferro
Gavin R. Evans
F. Kwasniok
46
1
0
22 Jul 2024
Do AI models produce better weather forecasts than physics-based models?
  A quantitative evaluation case study of Storm Ciarán
Do AI models produce better weather forecasts than physics-based models? A quantitative evaluation case study of Storm Ciarán
A. Charlton-Perez
H. Dacre
Simon Driscoll
Suzanne L. Gray
Ben Harvey
...
Kieran M. R. Hunt
Robert W. Lee
Ranjini Swaminathan
R. Vandaele
Ambrogio Volonté
AI4Cl
38
29
0
05 Dec 2023
WeatherBench 2: A benchmark for the next generation of data-driven
  global weather models
WeatherBench 2: A benchmark for the next generation of data-driven global weather models
S. Rasp
Stephan Hoyer
Alexander Merose
I. Langmore
Peter W. Battaglia
...
Carla Bromberg
Jared Sisk
Luke Barrington
Aaron Bell
Fei Sha
AI4Cl
43
107
0
29 Aug 2023
Inductive biases in deep learning models for weather prediction
Inductive biases in deep learning models for weather prediction
Jannik Thümmel
Matthias Karlbauer
S. Otte
C. Zarfl
Georg Martius
...
Thomas Scholten
Ulrich Friedrich
V. Wulfmeyer
B. Goswami
Martin Volker Butz
AI4CE
43
5
0
06 Apr 2023
Ensemble weather forecast post-processing with a flexible probabilistic
  neural network approach
Ensemble weather forecast post-processing with a flexible probabilistic neural network approach
P. Mlakar
J. Merse
Jana Faganeli Pucer
19
4
0
29 Mar 2023
Spatial Mixture-of-Experts
Spatial Mixture-of-Experts
Nikoli Dryden
Torsten Hoefler
MoE
34
9
0
24 Nov 2022
DL-Corrector-Remapper: A grid-free bias-correction deep learning
  methodology for data-driven high-resolution global weather forecasting
DL-Corrector-Remapper: A grid-free bias-correction deep learning methodology for data-driven high-resolution global weather forecasting
Tao Ge
Jaideep Pathak
Akshay Subramaniam
K. Kashinath
AI4Cl
24
5
0
21 Oct 2022
A two-step machine learning approach to statistical post-processing of
  weather forecasts for power generation
A two-step machine learning approach to statistical post-processing of weather forecasts for power generation
Ágnes Baran
Sándor Baran
11
6
0
15 Jul 2022
Benchmark Dataset for Precipitation Forecasting by Post-Processing the
  Numerical Weather Prediction
Benchmark Dataset for Precipitation Forecasting by Post-Processing the Numerical Weather Prediction
Taehyeon Kim
Namgyu Ho
Donggyu Kim
Se-Young Yun
BDL
20
6
0
30 Jun 2022
Distributional regression and its evaluation with the CRPS: Bounds and
  convergence of the minimax risk
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
Forecast combinations: an over 50-year review
Forecast combinations: an over 50-year review
Xiaoqian Wang
Rob J. Hyndman
Feng Li
Yanfei Kang
AI4TS
35
139
0
09 May 2022
Convolutional autoencoders for spatially-informed ensemble
  post-processing
Convolutional autoencoders for spatially-informed ensemble post-processing
Sebastian Lerch
K. Polsterer
6
8
0
08 Apr 2022
Machine Learning Emulation of Urban Land Surface Processes
Machine Learning Emulation of Urban Land Surface Processes
David Meyer
S. Grimmond
P. Dueben
R. Hogan
M. Reeuwijk
17
17
0
21 Dec 2021
Evaluation of Machine Learning Techniques for Forecast Uncertainty
  Quantification
Evaluation of Machine Learning Techniques for Forecast Uncertainty Quantification
M. Sacco
J. J. Ruiz
M. Pulido
P. Tandeo
UQCV
23
10
0
29 Nov 2021
Skillful Twelve Hour Precipitation Forecasts using Large Context Neural
  Networks
Skillful Twelve Hour Precipitation Forecasts using Large Context Neural Networks
L. Espeholt
Shreya Agrawal
C. Sønderby
M. Kumar
Jonathan Heek
Carla Bromberg
Cenk Gazen
Jason Hickey
Aaron Bell
Nal Kalchbrenner
AI4Cl
25
47
0
14 Nov 2021
Climate Modeling with Neural Diffusion Equations
Climate Modeling with Neural Diffusion Equations
JeeHyun Hwang
Jeongwhan Choi
Hwan-Kyu Choi
Kookjin Lee
Dongeun Lee
Noseong Park
DiffM
29
22
0
11 Nov 2021
Short-term precipitation prediction using deep learning
Short-term precipitation prediction using deep learning
Guoxing Chen
Wei‐Chyung Wang
AI4Cl
27
30
0
05 Oct 2021
Machine Learning for Postprocessing Ensemble Streamflow Forecasts
Machine Learning for Postprocessing Ensemble Streamflow Forecasts
Sanjib Sharma
G. Ghimire
Ridwan Siddique
AI4Cl
13
13
0
15 Jun 2021
Multivariate Probabilistic Regression with Natural Gradient Boosting
Multivariate Probabilistic Regression with Natural Gradient Boosting
Michael O’Malley
A. Sykulski
R. Lumpkin
Alejandro Schuler
BDL
17
7
0
07 Jun 2021
Calibration of wind speed ensemble forecasts for power generation
Calibration of wind speed ensemble forecasts for power generation
Sándor Baran
Á. Baran
14
11
0
30 Apr 2021
Bridging observation, theory and numerical simulation of the ocean using
  Machine Learning
Bridging observation, theory and numerical simulation of the ocean using Machine Learning
Maike Sonnewald
Redouane Lguensat
Daniel C. Jones
P. Dueben
J. Brajard
Venkatramani Balaji
AI4Cl
AI4CE
46
100
0
26 Apr 2021
Combining distribution-based neural networks to predict weather forecast
  probabilities
Combining distribution-based neural networks to predict weather forecast probabilities
M. Clare
Omar Jamil
C. Morcrette
UQCV
22
41
0
26 Mar 2021
Flexible Model Aggregation for Quantile Regression
Flexible Model Aggregation for Quantile Regression
Rasool Fakoor
Tae-Soo Kim
Jonas W. Mueller
Alexander J. Smola
R. Tibshirani
22
19
0
26 Feb 2021
Copula-based synthetic data augmentation for machine-learning emulators
Copula-based synthetic data augmentation for machine-learning emulators
David Meyer
T. Nagler
R. Hogan
11
22
0
16 Dec 2020
Improving seasonal forecast using probabilistic deep learning
Improving seasonal forecast using probabilistic deep learning
B. Pan
G. Anderson
André Goncalves
Donald D. Lucas
C. Bonfils
Jiwoo Lee
BDL
AI4Cl
6
32
0
27 Oct 2020
A generative adversarial network approach to (ensemble) weather
  prediction
A generative adversarial network approach to (ensemble) weather prediction
Alexander Bihlo
AI4Cl
23
77
0
13 Jun 2020
Deep Learning for Post-Processing Ensemble Weather Forecasts
Deep Learning for Post-Processing Ensemble Weather Forecasts
Peter Grönquist
Chengyuan Yao
Tal Ben-Nun
Nikoli Dryden
P. Dueben
Shigang Li
Torsten Hoefler
17
165
0
18 May 2020
Improving data-driven global weather prediction using deep convolutional
  neural networks on a cubed sphere
Improving data-driven global weather prediction using deep convolutional neural networks on a cubed sphere
Jonathan A. Weyn
Dale Durran
R. Caruana
AI4Cl
29
256
0
15 Mar 2020
Deep Learning for Spatio-Temporal Data Mining: A Survey
Deep Learning for Spatio-Temporal Data Mining: A Survey
Senzhang Wang
Jiannong Cao
Philip S. Yu
AI4TS
26
549
0
11 Jun 2019
Applying machine learning to improve simulations of a chaotic dynamical
  system using empirical error correction
Applying machine learning to improve simulations of a chaotic dynamical system using empirical error correction
P. Watson
AI4Cl
AI4CE
24
63
0
24 Apr 2019
Countdown Regression: Sharp and Calibrated Survival Predictions
Countdown Regression: Sharp and Calibrated Survival Predictions
Anand Avati
Tony Duan
Sharon Zhou
Kenneth Jung
N. Shah
A. Ng
22
54
0
21 Jun 2018
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