1 citations · 2 across the 5 of their papers we have counts for
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Extratropical Atmospheric Circulation Response to ENSO in Deep Learning Pacific Pacemaker Experiments
Zhanxiang Hua, Christina Karamperidou, Zilu Meng
Coupled atmosphere-ocean deep learning (DL) climate emulators are a new frontier but are known to exhibit weak ENSO variability, raising questions about their ability to simulate t…
Deep Learning Atmospheric Models Reliably Simulate Out-of-Sample Land Heat and Cold Wave Frequencies
Zilu Meng, Gregory J. Hakim, Wenchang Yang +1
Deep learning (DL)-based general circulation models (GCMs) are emerging as fast simulators, yet their ability to replicate extreme events outside their training range remains unkno…
Coupled Seasonal Data Assimilation of Sea Ice, Ocean, and Atmospheric Dynamics over the Last Millennium
Zilu Meng, Gregory J. Hakim, Eric J. Steig
"Online" data assimilation (DA) is used to generate a seasonal-resolution reanalysis dataset over the last millennium by combining forecasts from an ocean--atmosphere--sea-ice coup…