Connecting the forward problem to the inverse problem in uncertainty quantification of Earth system models using fast emulators

Quantifying and reducing uncertainty in Earth system model parameterizations is essential to improving their reliability in decision-making. Forward uncertainty propagation is used to derive parameter sensitivity but requires physically plausible parameter distributions first be learned from observa