physics.ao-ph · 2026-08-01 · No. 71

Atmospheric and Oceanic Physics, 2026-08-01.

2 new papers in physics.ao-ph. Titles, authors, abstracts. Links to arXiv. Want this in your inbox every morning? Subscribe →

01 — The papers

2 entries
  1. 01

    Weather Emulators at the Frontier of Heat Extremes Predictability

    Cas Decancq, Thomas Mortier, Jessica Keune, Diego G. Miralles

    physics.ao-ph · cs.LG

    Atmospheric predictability declines rapidly beyond the next ten days, such that forecasts at longer lead times primarily convey large-scale trends rather than specific states. Yet in a warming world, improving early warnings of extreme heat is an increasingly critical challenge. Here we evaluate six state-of-the-art deep learning weather emulators - Pangu-Weather, FuXi, ArchesWeather, AIFS, GraphCast and Aurora - alongside leading dynamical...

    arxiv.org/abs/2607.28220 · PDF

  2. 02

    Meteosat Third Generation imagery improves CNN-based SSI retrieval

    Gordei Pribõtkin, Piia Post, Velle Toll

    physics.ao-ph · cs.LG · physics.data-an

    Accurate Surface Solar Irradiance (SSI) estimation is increasingly important for photovoltaic energy monitoring and forecasting. The recently introduced Meteosat Third Generation (MTG) satellite constellation provides imaging data with higher spatial resolution compared to the Meteosat Second Generation (MSG) satellite constellation, but its benefits for machine-learning-based SSI retrieval have not been well established. In this work, we...

    arxiv.org/abs/2607.28093 · PDF

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