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Surface Conditioning for Zero-Shot Multivariate Correction in a Marine Biogeochemistry Emulator
Bias correction in process-based models usually means iterative data assimilation with explicit covariance modelling. We propose a lightweight alternative based on a neural emulator of marine biogeochemistry (BGC), showing that the conditioning pathway of its autoencoder can serve as an observation
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