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09/08/2023
Postprocessing of Ensemble Weather Forecasts Using Permutation-invariant Neural Networks
Statistical postprocessing is used to translate ensembles of raw numeric...
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04/24/2023
Direction Augmentation in the Evaluation of Armed Conflict Predictions
In many forecasting settings, there is a specific interest in predicting...
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06/21/2022
Comparison of multivariate post-processing methods using global ECMWF ensemble forecasts
An influential step in weather forecasting was the introduction of ensem...
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04/08/2022
Convolutional autoencoders for spatially-informed ensemble post-processing
Ensemble weather predictions typically show systematic errors that have ...
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04/05/2022
Aggregating distribution forecasts from deep ensembles
The importance of accurately quantifying forecast uncertainty has motiva...
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06/17/2021
Machine learning methods for postprocessing ensemble forecasts of wind gusts: A systematic comparison
Postprocessing ensemble weather predictions to correct systematic errors...
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01/17/2021
Post-processing numerical weather prediction ensembles for probabilistic solar irradiance forecasting
In order to enable the transition towards renewable energy sources, prob...
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09/29/2020
Evaluating Ensemble Post-Processing for Wind Power Forecasts
Capturing the uncertainty in probabilistic wind power forecasts is chall...
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04/14/2020
Statistical Postprocessing for Weather Forecasts – Review, Challenges and Avenues in a Big Data World
Statistical postprocessing techniques are nowadays key components of the...
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01/16/2020
Machine learning for total cloud cover prediction
Accurate and reliable forecasting of total cloud cover (TCC) is vital fo...
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05/23/2018
Neural networks for post-processing ensemble weather forecasts
Ensemble weather predictions require statistical post-processing of syst...
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09/14/2017