LSTM and 1D CNN emulators replicate a 1D marine biogeochemistry model at daily resolution, remain stable over decades, reproduce spring bloom timing years ahead, and outperform the parent model on reanalysis-driven forecasts for key variables.
arXiv preprint arXiv:2410.11807 , year=
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Deep learning model emulators for marine biogeochemistry forecasting from days to decades
LSTM and 1D CNN emulators replicate a 1D marine biogeochemistry model at daily resolution, remain stable over decades, reproduce spring bloom timing years ahead, and outperform the parent model on reanalysis-driven forecasts for key variables.