Supervised Calibration and Uncertainty Quantification of Subgrid Closure Parameters using Ensemble Kalman Inversion
Data-driven approaches are increasingly being used to identify and remove structural biases in dynamical models for real-world systems. However, because model updates alter the dependency of a model on its free parameters, evidence about structural biases is often muddied by the variable influences...
Main Author: | Hillier, Adeline |
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Other Authors: | Ferrari, Raffaele |
Format: | Thesis |
Published: |
Massachusetts Institute of Technology
2022
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Online Access: | https://hdl.handle.net/1721.1/145140 |
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