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Yang Song
University of ArizonaMeeting roles in:
Advancing Earth System Predictability: AI-Enhanced Integration of Models, Experiments, and Biogeochemical Processes I Poster
An Artificial Intelligence-based emulator for western US crop productivity and evapotranspiration in land surface and water resource models: The upper Colorado River basin as a testing case
Advancing Earth System Predictability: AI-Enhanced Integration of Models, Experiments, and Biogeochemical Processes II Oral
Assessing the Implication of Mineral Adsorption for Soil Carbon Stock and Emissions Across the CONUS: an integrated A.I. and process-based parameterization.
Climate smart agricultural management of guayule and its impact on water, energy, and carbon cycle: Insights from the parameterization of the dynamic guayule growth module in Community Land Model (CLM5)
Sensitivity of Gross Primary Production (GPP) prediction to Higher Spectral and Directional Resolution Radiative Forcing
Influence of changing hydrothermal conditions on microbial functions and their attribution to soil carbon dynamics across the CONUS
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