PAPER NOTES · 2026

WeatherNext 3：利用原始观测提升全球天气预报

WeatherNext 3: Increasing resolution and performance of global weather models with raw observations

Stephan Rasp; Boris Babenko; Dominic Masters; Andrew El-Kadi; Samier Merchant; Guy Shalev; Ilan Price; Fred Zyda; Remi Lam; Sasha Shysheya; Matthew Willson; Stratis Markou; Shreya Agrawal; Suhani Vora; Mohammed Alewi Hassen; Sunny Mak; Tom R. Andersson; Megan Bela; Akib Uddin; Nofar Peled Levi; Ben Gaiarin; Ferran Alet; Aaron Bell; Peter Battaglia; Alvaro Sanchez-Gonzalez

这篇论文讲了什么

WeatherNext 3 将卫星、地面站点等原始观测与分析资料结合，用于全球概率天气预报。本文围绕更高分辨率、更及时的预报更新与局地预测展开，并从不同变量和观测来源评估模型表现。阅读包提供完整中文译文、中英对照，以及问题、设计和证据链导读。