首页|Study Results from Bureau of Meteorology Broaden Understanding of Machine Learni ng (RainForests: A Machine Learning Approach to Calibrating NWP Precipitation Fo recasts)

Study Results from Bureau of Meteorology Broaden Understanding of Machine Learni ng (RainForests: A Machine Learning Approach to Calibrating NWP Precipitation Fo recasts)

扫码查看
By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Investigators discuss new findings in artificial intelligence. According to news originatingfrom Victoria, Australia, by NewsRx correspondents, research stated, “Probabilistic forecasts derivedfro m ensemble prediction systems (EPSs) have become the standard basis for many pro ducts and servicesproduced by modern operational forecasting centers. However, statistical postprocessing is generallyrequired to ensure forecasts have the de sired properties expected for probability-based outputs.”

Bureau of MeteorologyVictoriaAustral iaAustralia and New ZealandCyborgsEmerging TechnologiesMachine Learning

2024

Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

ISSN:
年,卷(期):2024.(Nov.28)