AxiomOcean deploys a 3D encoder-backbone-decoder architecture that jointly predicts upper-ocean variables and outperforms prior AI models by 20-35% in day-1 RMSE while preserving eddy kinetic energy and vertical consistency.
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MOTIS estimates tropical cyclone central pressure from MODIS warm-core anomalies via multiple linear regression, reporting r²=0.945 and RMSE=4.3 hPa for high-intensity clear-eye cases.
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AxiomOcean: Forecasting the Three-Dimensional Structure of the Upper Ocean
AxiomOcean deploys a 3D encoder-backbone-decoder architecture that jointly predicts upper-ocean variables and outperforms prior AI models by 20-35% in day-1 RMSE while preserving eddy kinetic energy and vertical consistency.
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MODIS Thermal Infrared Sounding (MOTIS): Estimating Tropical Cyclone Central Pressure from Warm-Core Anomalies
MOTIS estimates tropical cyclone central pressure from MODIS warm-core anomalies via multiple linear regression, reporting r²=0.945 and RMSE=4.3 hPa for high-intensity clear-eye cases.