微软开源机器学习工具PBC，提升中长期天气预报准确率
原标题：Microsoft has a new machine learning tool to improve weather forecasts
AI 摘要
微软研究院联合MIT、ECMWF等机构在《Nature》发表研究，提出概率偏差校正（PBC）方法，用机器学习修正现有天气预报模型的系统性偏差，而非构建全新模型。该方法将ECMWF物理模型的降水与温度预报准确率分别提升98%和92%，并使其AI预报系统准确率翻倍，且仅需CPU即可运行。相关工具已开源，有望帮助资源有限的气象机构提升2至6周中长期预报能力。
正文节选
Old-school physics-based weather forecasting and even new AI models typically become less reliable beyond two weeks, a problem Microsoft claims to have solved using machine learning. Microsoft has a new machine learning tool to improve weather forecasts New open-source software could make AI-enhanced weather forecasting more affordable. Researchers with the company say they’ve found a new, cost-effective way to make more accurate weather forecasts two to six weeks in advance — allowing farmers a