Physical‐statistical modeling in geophysics

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Space‐time modelling of trends in temperature series (2011, methodology): “Following the standard convention of modelling processes hierarchically (e.g. Berliner, 2003) we start by expressing the distribution of the observation process conditional on the underlying latent process and some parameters characterizing the measurement mechanism.”
Quantifying and reducing model-form uncertainties in Reynolds-averaged Navier-Stokes simulations: A data-driven, physics-informed Bayesian approach (2015, result): “lly on the closure models, and not on the model output directly. Works from these groups will be reviewed in detailed below. These approaches have some similarities to earlier work of Berliner et al. [21, 22] in the context of geophysical uid dynamics, where uncertainties were introduced to the disc”