Earth Sciences
A low-cost post-processing technique improves weather forecasts around the world
T. D. Hewson and F. M. Pillosu
This study introduces ecPoint, a groundbreaking statistical post-processing method for ensemble weather forecasts developed by Timothy David Hewson and Fatima Maria Pillosu. By addressing sub-grid variability and leveraging extensive calibration datasets, ecPoint significantly enhances forecast accuracy, particularly for extreme rainfall, extending useful forecasting to five days ahead. Discover how this method can transform flash flood warnings and improve meteorological insights.
Playback language: English
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