I enjoy using a variety of statistical methods to postprocess numerical weather
prediction models. Some recent focuses have been:
- Generating probabilistic forecasts from deterministic inputs using machine learning.
- Increasing the flexibility of traditional parametric postprocessing models by combining these with random forests.
- Developing joint distributional regressions for multivariate postprocessing.