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physics.ao-ph2026
Hybrid weather prediction using spectral nudging toward machine-learning forecasts
I. Polichtchouk, M. C. A. Clare, M. Chantry +4
A hybrid approach to numerical weather prediction is investigated, in which the unperturbed physics-based ECMWF Integrated Forecasting System (IFS) is spectrally nudged toward fore…
physics.ao-ph2023★ 5 cited
Post-processing output from ensembles with and without parametrised convection, to create accurate, blended, high-fidelity rainfall forecasts
Estíbaliz Gascón, Andrea Montani, Tim D. Hewson
Flash flooding is a significant societal problem, but related precipitation forecasts are often poor. To address this, one can try to use output from convection-parametrising (glob…