4 papers
ACE2-NEMO: Coupling an ML atmospheric emulator to a full-depth dynamical ocean model
Bobby Antonio, Kristian Strommen, Pablo Ortega +1
Understanding how fast atmospheric variability shapes slow climate variability and sensitivity remains a central challenge in Earth-system science. Recent advances in machine-learn…
Investigating How the Fractions Skill Score and Brier Divergence Skill Score Reflect Forecast Error
Bobby Antonio
Meaningful scores for forecast verification are essential for developing reliable forecasts, and there has been much effort to develop scores that align well with human perceptions…
Role of the ocean for fast atmospheric evolution revealed by machine learning
Bobby Antonio, Kristian Strommen, Hannah M. Christensen
There have recently been many efforts to create machine learnt atmospheric emulators designed to replace physical models. So far these have mainly focused on medium-range weather f…
Error in ERA5 2m Temperature identified using GraphCast
Hannah M. Christensen, Jack Barker, Bobby Antonio +3
Reanalyses such as ERA5 have long been foundational for weather and climate science. They have also found a new use case, as training and verification data for machine-learnt weath…