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05/24/2023
Statistical post-processing of visibility ensemble forecasts
To be able to produce accurate and reliable predictions of visibility ha...
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12/23/2022
Parametric post-processing of dual-resolution precipitation forecasts
Recently, all major weather centres issue ensemble forecasts which even ...
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07/15/2022
A two-step machine learning approach to statistical post-processing of weather forecasts for power generation
By the end of 2021, the renewable energy share of the global electricity...
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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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04/30/2021
Calibration of wind speed ensemble forecasts for power generation
In the last decades wind power became the second largest energy source i...
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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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08/26/2020
Truncated generalized extreme value distribution based EMOS model for calibration of wind speed ensemble forecasts
In recent years, ensemble weather forecasting have become a routine at a...
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01/23/2020
Statistical post-processing of heat index ensemble forecasts: is there a royal road?
We investigate the effect of statistical post-processing on the probabil...
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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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11/14/2018
Statistical post-processing of dual-resolution ensemble forecasts
The computational cost as well as the probabilistic skill of ensemble fo...
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09/11/2018
Statistical post-processing of ensemble forecasts of temperature in Santiago de Chile
Currently all major meteorological centres generate ensemble forecasts u...
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08/29/2018
Statistical post-processing of hydrological forecasts using Bayesian model averaging
Accurate and reliable probabilistic forecasts of hydrological quantities...
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08/10/2018