Comment on egusphere-2025-4716

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Authors: Gabriel Moldovan, Ewan Pinnington, Ana Prieto Nemesio, Simon T. K. Lang, Zied Ben Bouallègue, Jesper Dramsch, Mihai Alexe, Mario Santa Cruz, Sara Hahner, Harrison Cook, Helen Theissen, Mariana Clare
+9 more Cathal O’Brien, Jan Polster, Linus Magnusson, Gert Mertes, Florian Pinault, Baudouin Raoult, Patricia de Rosnay, RICHARD M. FORBES, Matthew Chantry
Cited by: 0

Abstract

Abstract. We present an update to ECMWF's machine-learned weather forecasting model AIFS Single with several key improvements. The model now incorporates physical consistency constraints through bounding layers, an updated training schedule, and an expanded set of variables. The physical constraints substantially improve precipitation forecasts and the new variables show a high level of skill. Upper-air headline scores also show improvement over the previous AIFS version. The AIFS has been fully operational at ECMWF since the 25th of February 2025.

Publication details

Publication date
5 January 2026