Adjoint sensitivity analysis is applied to a set of eddies in the Red Sea using a high-resolution Massachusetts Institute of Technology general circulation model and its adjoint …
A new approach for improving the accuracy of data assimilation, by trading numerical precision for ensemble size, is introduced. Data assimilation is inherently uncertain …
Atmospheric rivers (ARs) are mechanisms of strong moisture transport capable of bringing heavy precipitation to the West Coast of North America, which drives water resources and …
The Atmospheric River Tracking Method Intercomparison Project (ARTMIP) is an international collaborative effort to understand and quantify the uncertainties in atmospheric river …
Upper ocean processes play a key role in air‐sea coupling, with variability on both short and long time scales. The diurnal cycle associated with diurnal solar insolation and …
Members in ensemble forecasts differ due to the representations of initial uncertainties and model uncertainties. The inclusion of stochastic schemes to represent 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). …
As the current funding for climate process teams comes to an end, scientists emphasize the continuing need for teams that translate basic research into improved climate models.
Uncertainties in parametrized processes in general circulation models can be represented as stochastic perturbations to the model formulation. The European Centre for …
Stochastic schemes to represent model uncertainty in the European Centre for Medium‐Range Weather Forecasts (ECMWF) ensemble prediction system has helped improve its probabilistic …