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Keyword: ECMWF ×Clear all

3 claims from 1 paper

1. Earth and Planetary Sciences › Meteorological Phenomena and Simulations

   AIFS Single 1.1.0: an update to ECMWF's machine-learned weather forecast model AIFS

   Moldovan, Pinnington, Nemesio et al. · Geoscientific model development · 2026

   Unchecked3 claims
   Show 3 claims

   1. Unchecked“Overall skill improves by 4 %–6 % in the upper air and near-surface variables without degradation of spatial variability.”
   2. Unchecked“The bounding framework delivers the largest precipitation improvements, up to 12 % and an approximately 1 d advantage using a categorical measure of skill.”
   3. Unchecked“We further show that enforcing precipitation non-negativity resolves a gradient ambiguity at the zero-precipitation boundary under MSE training, explaining the reduction in drizzle bias and the improvements in precipitation.”