Calibration and Uncertainty Quantification of Convective Parameters in an Idealized GCM
Abstract Parameters in climate models are usually calibrated manually, exploiting only small subsets of the available data. This precludes both optimal calibration and quantification of uncertainties. Traditional Bayesian calibration methods that allow uncertainty quantification are too expensive fo...
Main Authors: | Oliver R. A. Dunbar, Alfredo Garbuno‐Inigo, Tapio Schneider, Andrew M. Stuart |
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Format: | Article |
Language: | English |
Published: |
American Geophysical Union (AGU)
2021-09-01
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Series: | Journal of Advances in Modeling Earth Systems |
Subjects: | |
Online Access: | https://doi.org/10.1029/2020MS002454 |
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