arXiv:2607. 05658v1 Announce Type: cross Abstract: Global Navigation Satellite Systems (GNSS), best known for positioning, also serve weather science, as atmospheric water vapour delays their signals.
By Leonardo Trentini, Fanny Lehmann, Laura Crocetti, Benedikt Soja
arXiv:2606. 26361v1 Announce Type: new Abstract: ML foundation models are able to emulate atmospheric dynamics accurately and efficiently but operate as opaque ``black boxes''.
By Emma Kasteleyn, Ana Lucic
arXiv:2605.24038v3 Announce Type: replace-cross
Abstract: Aurora visibility at a given location requires two physically distinct conditions to hold at once: aurora occurring overhead, governed by sol...
By Zongyuan Ge, Chenwaner Zhang, Haoyang Li, Hantai Zhang, Wei Zhou, Wenxin Gu, Zhaoming Wang
arXiv:2508. 18486v2 Announce Type: replace-cross Abstract: Over the past few years, machine learning-based data-driven weather prediction has been transforming operational weather forecasting by providing more accurate forecasts while using a mere fraction of computing power compared to traditional numerical weather prediction (NWP).
By Zekun Ni, Jonathan Weyn, Hang Zhang, Yanfei Xiang, Jiang Bian, Weixin Jin, Kit Thambiratnam, Qi Zhang, Haiyu Dong, Hongyu Sun
Aries is a proprietary medium‑range weather prediction model built with a SwinTransformer architecture by InCommodities. Trained on ERA5 reanalysis data at 0.25° resolution, it forecasts 74 prognostic and 11 diagnostic atmospheric variables. In out‑of‑sample tests using 2025 ECMWF Analysis initializations, Aries achieves lower RMSE than ECMWF HRES and AIFS for 10‑metre wind speed up to four days ahead, and comparable RMSE to AIFS for 2‑metre temperature.
By Lukas Hedegaard Morsing, Arian Bakhtiarnia, Jonas Lynge Olesen, T\'omas Bragi Bj\"ornsson Leth, Christian G{\o}bel Bach
arXiv:2607. 05100v1 Announce Type: cross Abstract: Data-driven models now rival numerical weather prediction in the medium range, but extending them to sub-seasonal lead times raises challenges absent at shorter horizons.
By Jakob Schloer, Steffen Tietsche, Christopher D. Roberts, Lorenzo Zampieri, Simon Lang, Gert Mertes, Gareth Jones, Matthew Chantry, Frederic Vitart