MarsNet learns the Martian atmosphere from observations alone: 4.2 K near-surface temperature error and the best surface pressures of four products
The Martian atmosphere has been described by reanalyses that assimilate spacecraft retrievals into general circulation models, so where observations are sparse their fields largely reflect the model. MarsNet trains a two-hour forecast and a per-window observation update jointly inside a fixed physical structure, using no reanalysis or model field as input or target. On MGS radio-occultation temperatures assimilated by no dataset, it matches or improves on the three reanalyses in the lowest three scale heights, with a near-surface RMSE of 4.2 K against 4.4–5.4 K, but is less accurate aloft.