报告形式：ZOOM（会议号: 343 165 8175；密码: 0525）
会议链接：https://us06web.zoom.us/j/3431658175?pwd=VWlXZHFiQjM0NnFmV3pVZW9uaE8rQT09
B站直播号：23115892
报告人简介
Dr. Louise Slater is Associate Professor at University of Oxford. She is a Future Leaders Fellow of UK Research and Innovation and the Chair of the Oxford Water Network. She serves as Editor for Hydrology and Earth System Sciences, and Associate Editor for Earth's Future. Dr. Slater develops computational approaches to detect, attribute, and predict how changes in climate and land cover may affect water-related extremes and society over sub-daily to multi-decadal timescales. She has published over 70 international journals, such as Science, Nature Sustainability, and Nature Communications. She has received the Hydrologic Sciences Early Career Award by AGU, the Outstanding Early Career Scientist Award by EGU, and the Gill Memorial Award for Outstanding Early Career Research in Physical Geography.
报告简介：
Hybrid hydroclimatic forecasting systems employ data-driven (statistical or machine learning) methods to harness and integrate a broad variety of predictions from dynamical, physics-based models – such as numerical weather prediction, climate, land, hydrology, and Earth system models – into a final prediction product. Hybrid forecasting methods are now receiving growing attention due to advances in weather and climate prediction systems at subseasonal to decadal scales, a better appreciation of the strengths of AI, and expanding access to computational resources and methods. Dr. Slater will present recent developments in hybrid hydroclimatic forecasting and outline key challenges and opportunities for further research.
