Tim Palmer

A Stochastic Representation of Subgrid Uncertainty for Dynamical Core Development

Numerical weather prediction and climate models comprise a) a dynamical core describing resolved parts of the climate system and b) parameterizations describing unresolved …

aneesh-subramanian

Improving Weather Forecast Skill through Reduced-Precision Data Assimilation

A new approach for improving the accuracy of data assimilation, by trading numerical precision for ensemble size, is introduced. Data assimilation is inherently uncertain …

sam-hatfield

Seasonal and decadal forecasts of Atlantic Sea surface temperatures using a linear inverse model

Predictability of Atlantic Ocean sea surface temperatures (SST) on seasonal and decadal timescales is investigated using a suite of statistical linear inverse models (LIM). …

benjamin-huddart

Impact of stochastic physics on tropical precipitation in the coupled ECMWF model

Uncertainties in parametrized processes in general circulation models can be represented as stochastic perturbations to the model formulation. The European Centre for …

aneesh-subramanian