Improving E3SM Land Model Photosynthesis Parameterization via Satellite SIF, Machine Learning, and Surrogate Modeling
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DOI: 10.1029/2022ms003135
Abstract: The parameterization of key photosynthesis parameters is one of the key uncertain sources in modeling ecosystem gross primary productivity (GPP). Solar‐induced chlorophyll fluorescence (SIF) offers a good proxy for GPP since it marks the actual… read more here.
Keywords: satellite sif; sif; surrogate modeling; gpp ... See more keywords