Data Assimilation Meetings at Reading

Date Meeting type Speakers
5 November 2014
Maths 314
Internal speaker Polly Smith (University of Reading)
Exploring coupled 4D-Var data assimilation using an idealised atmosphere-ocean model ( pdf )
The successful application of data assimilation techniques to operational numerical weather prediction and ocean forecasting systems has led to an increased interest in their use for the initialisation of coupled atmosphere-ocean models in prediction on seasonal to decadal timescales. Coupled data assimilation presents a significant challenge but offers a long list of potential benefits, including improved use of near-surface observations, reduction of initialisation shocks in coupled forecasts, and generation of a consistent system state for the initialisation of coupled forecasts across all timescales. We have been exploring some of the fundamental questions in the design of coupled 4D-Var data assimilation systems within the context of an idealised one-dimensional coupled atmosphere-ocean model. Here, we describe the development of our simplified system and present results from a series of identical twin experiments devised to investigate and compare the behaviour and sensitivities of different coupled data assimilation methodologies.

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