报告时间: 2026年11月06日14:00-15:00

报告地点：北辰楼312会议室

主持人：刘超 教授

报告题目: Earth Intelligence from Space: Satellite Remote Sensing in the Age of AI

专家简介：Dr. Jonathan H. Jiang is an atmospheric and space scientist whose research spans satellite remote sensing, climate dynamics, clouds, aerosols, water vapor, radiation, climate-model evaluation, and planetary habitability. He has had a long scientific career at NASA’s Jet Propulsion Laboratory, California Institute of Technology, where his work has contributed to major Earth-observing missions and satellite-based studies of the climate system. His research has used observations from missions such as Aura MLS, A-Train, CloudSat/CALIPSO, CERES, DSCOVR and other satellite systems to understand cloud–aerosol–radiation interactions, upper-tropospheric and lower-stratospheric water vapor, and climate-model biases. Dr. Jiang has authored or co-authored hundreds of scientific publications and has received major recognitions including NASA achievement medals and election as a Fellow of the American Meteorological Society.

报告摘要：Satellite remote sensing has evolved from spaceborne imaging into a quantitative observing system for the coupled Earth system. This seminar traces that evolution from spectral physics, radiative transfer and physical retrievals to today’s multi-sensor observations of clouds, aerosols, water vapor, radiation, ocean, land and ice. Using examples from Aura MLS, A-Train, CERES, CloudSat/CALIPSO, CMIP model diagnosis, and new missions such as PACE, EarthCARE and NISAR, I will show how satellites reveal climate processes and expose model uncertainties. Looking forward, I argue that the next breakthrough will come from physics-aware AI: combining forward models, uncertainty quantification, satellite simulators and machine learning to build trusted Earth-system intelligence. This hybrid approach can accelerate retrievals, fuse observations, constrain climate feedbacks, evaluate models and support climate digital twins for a rapidly changing planet.