Abstract: article filtering methods for data assimilation may suffer from the ?curse of dimensionality,? where the required ensemble size grows rapidly as the dimension increases. It would, therefore, be useful to know a priori ...

Abstract: agrangian measurements from passive ocean instruments provide a useful source of data for estimating and forecasting the ocean?s state (velocity field, salinity field, etc.). However, trajectories from these instruments ...

Abstract: AbstractAn important issue in developing a forecast system is its sensitivity to additional observations for improving initial conditions, to the data assimilation (DA) method used, and to improvements in the forecast ...

Abstract: AbstractGiven the network of satellite and aircraft observations around the globe, do additional in situ observations impact analyses within a global forecast system? Despite the dense observational network at many levels ...

Abstract: Four state-of-the-art satellite-based estimates of ocean surface latent heat fluxes (LHFs) extending over three decades are analyzed, focusing on the interannual variability and trends of near-global averages and regional ...

Abstract: AbstractForecasts by mid-2015 for a strong El Niño during winter 2015/16 presented an exceptional scientific opportunity to accelerate advances in understanding and predictions of an extreme climate event and its impacts ...