DOE OSTI · 1769768
Process-based Neural Network to Forecast Vegetation Dynamics
Abstract
This white paper calls for an AI-based emulator of DOE’s dynamic vegetation model that is computationally efficient and accommodates/parameterizes the governing processes built in the model. This AI-based emulator is needed for model calibration, sensitivity analysis, prediction, uncertainty quantification, and decision making. This AI-based emulator will incorporate physics and biological information in the form of conservation laws and constitutive relationships.
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Xu, Chonggang, Lin, Youzuo, Panda, Nishant, Vesselinov, Monty, Vazquez, Humberto. 2021-04-15. Process-based Neural Network to Forecast Vegetation Dynamics. https://doi.org/10.2172/1769768
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