19 citations · 19 across the 2 of their papers we have counts for
2 papers
cs.LG2023★ 19 cited
ClimSim-Online: A Large Multi-scale Dataset and Framework for Hybrid ML-physics Climate Emulation
Sungduk Yu, Zeyuan Hu, Akshay Subramaniam +44
Modern climate projections lack adequate spatial and temporal resolution due to computational constraints, leading to inaccuracies in representing critical processes like thunderst…
physics.ao-ph2022
Efficient Climate Simulation via Machine Learning Method
Xin Wang, Wei Xue, Yilun Han +1
Hybrid modeling combining data-driven techniques and numerical methods is an emerging and promising research direction for efficient climate simulation. However, previous works lac…