2 citations · 3 across the 4 of their papers we have counts for
4 papers
Efficient Generative AI Boosts Probabilistic Forecasting of Sudden Stratospheric Warmings
Ningning Tao, Fei Xie, Baoxiang Pan +6
Sudden Stratospheric Warmings (SSWs) are key sources of subseasonal predictability and major drivers of extreme weather in winter. Accurate and efficient probabilistic forecasting…
Conditional diffusion models for downscaling and bias correction of Earth system model precipitation
Michael Aich, Philipp Hess, Baoxiang Pan +3
Climate change exacerbates extreme weather events like heavy rainfall and flooding. As these events cause severe socioeconomic damage, accurate high-resolution simulation of precip…
Fast, Scale-Adaptive, and Uncertainty-Aware Downscaling of Earth System Model Fields with Generative Machine Learning
Philipp Hess, Michael Aich, Baoxiang Pan +1
Accurate and high-resolution Earth system model (ESM) simulations are essential to assess the ecological and socio-economic impacts of anthropogenic climate change, but are computa…
Diffusion Model-based Probabilistic Downscaling for 180-year East Asian Climate Reconstruction
Fenghua Ling, Zeyu Lu, Jing-Jia Luo +6
As our planet is entering into the "global boiling" era, understanding regional climate change becomes imperative. Effective downscaling methods that provide localized insights are…