Khachik Sargsyan
Khachik Sargsyan
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Physics-informed Machine Learning for Uncertainty Quantification in E3SM Land Model
Khachik Sargsyan, Cosmin Safta, Daniel Ricciuto
PDF
Date
Oct 16, 2020
Event
Earth System Model Development (ESMD) Energy Exascale Earth System Model (E3SM) PI Meeting
Location
virtual
neural-networks
surrogate-modeling
earth-system-models
Related
Dimensionality Reduction and Physics-Informed Recurrent Neural Networks for Climate Land Models
Surrogate Construction via Weight Parameterization of Residual Neural Networks
Coupled Lake-Atmosphere-Land Physics Uncertainties in a Great Lakes Regional Climate Model
Spatio-Temporal Surrogate Construction and Calibration of E3SM Land Model
Reduced-Dimensional Neural Network Surrogate Construction for the E3SM Land Model
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