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Convolutional autoencoders for spatially-informed ensemble
  post-processing

Convolutional autoencoders for spatially-informed ensemble post-processing

8 April 2022
Sebastian Lerch
K. Polsterer
ArXivPDFHTML

Papers citing "Convolutional autoencoders for spatially-informed ensemble post-processing"

5 / 5 papers shown
Title
Distributional Regression U-Nets for the Postprocessing of Precipitation
  Ensemble Forecasts
Distributional Regression U-Nets for the Postprocessing of Precipitation Ensemble Forecasts
Romain Pic
Clément Dombry
Philippe Naveau
Maxime Taillardat
42
0
0
02 Jul 2024
Proper Scoring Rules for Multivariate Probabilistic Forecasts based on
  Aggregation and Transformation
Proper Scoring Rules for Multivariate Probabilistic Forecasts based on Aggregation and Transformation
Romain Pic
Clément Dombry
Philippe Naveau
Maxime Taillardat
AI4TS
36
0
0
30 Jun 2024
Generative ensemble deep learning severe weather prediction from a
  deterministic convection-allowing model
Generative ensemble deep learning severe weather prediction from a deterministic convection-allowing model
Yingkai Sha
Ryan Sobash
David John Gagne
27
0
0
09 Oct 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
25
4
0
29 Mar 2023
Generative machine learning methods for multivariate ensemble
  post-processing
Generative machine learning methods for multivariate ensemble post-processing
Jieyu Chen
Tim Janke
Florian Steinke
Sebastian Lerch
30
25
0
26 Sep 2022
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