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Abstract: Leveraging Machine Learning and MCMC to Optimize Community Land Model Parameters for Accurate Gross Primary Productivity Estimates (AGU25)

Leveraging Machine Learning and MCMC to Optimize Community Land Model Parameters for Accurate Gross Primary Productivity Estimates

Mr. Sudhanshu Kumar1, Linnia R Hawkins2, Katherine Dagon3, Daniel Kennedy4, Di Tian1, Isabella Lu5 and Sarah Ryu6, (1)Auburn University, Department of Crop, Soil & Environmental Sciences, Auburn, United States, (2)Columbia University, Department of Earth and Environmental Engineering, New York, United States, (3)NSF National Center for Atmospheric Research, Boulder, United States, (4)National Center for Atmospheric Research, Boulder, CO, United States, (5)Columbia University, San Francisco, California, UNITED STATES, (6)University of California Berkeley, Department of Environmental Science, Policy, and Management, Berkeley, United States
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