most citedDeep Learning Atmospheric Models Reliably Simulate Out-of-Sample Land Heat and Cold Wave Frequencies

1 citations · 1 across the 2 of their papers we have counts for

collaborators

2 papers

physics.ao-ph2026

Large-Ensemble Simulations Reveal Links Between Atmospheric Blocking Frequency and Sea Surface Temperature Variability

Zilu Meng, Gregory J. Hakim, Wenchang Yang +1

Atmospheric blocking events drive persistent weather extremes in midlatitudes, but isolating the influence of sea surface temperature (SST) from chaotic internal atmospheric variab…

physics.ao-ph2025★ 1 cited

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…