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Dan Lu
Oak Ridge National LaboratoryMeeting roles in:
Deep learning based short to sub-seasonal streamflow forecast for the flood-prone regions in the United States.
Frontier AI Models Transforming Water Science I Oral
AGFormer: Adaptive Spatiotemporal Graph Learning for Enhanced Multi-Reservoir Inflow Forecasting
Bias Correction of MPAS-A Forecasts Using a Diffusion Model-Based Deep Learning Framework
Frontier AI Models Transforming Water Science II Poster
Applying a universal machine learning based surrogate model for multi-catchment permafrost simulation
Unveiling the Critical Scenarios of Sinking Towns and Cities in the Indian Himalayan Region with Multi-Temporal SAR Interferometry
Advancing Land Surface Modeling using AI/ML
Accelerating Earth System Simulations: Creating an AI-Powered Emulator for the E3SM Land Model
ORBIT-2: Scaling Exascale Vision FoundationModels for Weather and Climate Downscaling
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