2020-3 - Advances and applications of artificial intelligence in meteorology - Part 3
12:30 — Uncertainty-Aware Graph and Diffusion Models for Multi-Domain WindFarm Downscaling Tianxia Jia (University of Victoria) 12:42 — From Research to Operations: Real-Time Deep Learning Wind DownscalingAcross a Sub-Continental Grid Jean-Sébastien Giroux (Environment and Climate Change Canada) 12:54 — The Meteorological Service of Canada’s operationalisation of PROGNOS,a statistical and machine learning post-processing framework. Christian Saad (Environment and Climate Change Canada)

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