205 citations · 360 across the 4 of their papers we have counts for
6 papers
EC-EarthFlow: Probabilistic emulation of daily transient global climate model simulations with flow matching
Kirien Whan, Nikolaj T. Mücke, Karin van der Wiel
We introduce EC-EarthFlow, a generative flow matching model that emulates simulations from the physical climate model EC-Earth3. The model is trained on transient simulations from…
COBASE: A new copula-based shuffling method for ensemble weather forecast postprocessing
Maurits Flos, Bastien François, Irene Schicker +2
Weather predictions are often provided as ensembles generated by repeated runs of numerical weather prediction models. These forecasts typically exhibit bias and inaccurate depende…
Improving Statistical Postprocessing for Extreme Wind Speeds using Tuned Weighted Scoring Rules
Simon Hakvoort, Bastien Francois, Kirien Whan +1
Recent statistical postprocessing methods for wind speed forecasts have incorporated linear models and neural networks to produce more skillful probabilistic forecasts in the low-t…
Statistical post-processing of wind speed forecasts using convolutional neural networks
Simon Veldkamp, Kirien Whan, Sjoerd Dirksen +1
Current statistical post-processing methods for probabilistic weather forecasting are not capable of using full spatial patterns from the numerical weather prediction (NWP) model.…
Statistical Postprocessing for Weather Forecasts -- Review, Challenges and Avenues in a Big Data World
Stéphane Vannitsem, John Bjørnar Bremnes, Jonathan Demaeyer +21
Statistical postprocessing techniques are nowadays key components of the forecasting suites in many National Meteorological Services (NMS), with for most of them, the objective of…
Comparison of statistical post-processing methods for probabilistic NWP forecasts of solar radiation
Kilian Bakker, Kirien Whan, Wouter Knap +1
The increased usage of solar energy places additional importance on forecasts of solar radiation. Solar panel power production is primarily driven by the amount of solar radiation…