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Linnia Hawkins
Columbia UniversityMeeting roles in:
Diagnosing Parametric Controls on CLM Ecohydrology Using Machine Learning Emulators
Resilience and Recovery from an Extreme Heatwave: The Role of Canopy Structure and Stature
Comparison of Machine Learning-Based Pedotransfer Functions Using High-Resolution Soil Water Retention Data for Improved Ecohydrological Modeling
Tree rings Show Global CO2-driven Rise in Leaf Photosynthesis and Increased Stomatal Regulation Since 1901
Integrating Transformer-Based Land Surface Phenology into the Community Land Model for Climate-Responsive Vegetation Dynamics
Investigating Snowpack-Shrub Interactions in the Arctic Tundra using Machine Learning and Process Models
Leveraging Machine Learning and MCMC to Optimize Community Land Model Parameters for Accurate Gross Primary Productivity Estimates
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