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Assimilation and Ensembles
Assimilation and Ensembles
Dale leads Data Assimilation and Ensembles (DAE) section of Weather Science, which undertakes research and development in observations processing, data assimilation and ensemble forecasting.
Neill works as manager of the data assimilation methods group, which looks to improve weather forecasts by improving techniques for assimilating observations.
Brett's research is aimed at improving Met Office forecasts through better use of land surface data.
Adam works on coupled variational/ensemble data assimilation.
Mike leads a Met Office data assimilation research group and also works on theoretical atmospheric dynamics and nonlinear partial differential equations.
Kerry researches the impact of data assimilation in limited area models to improve forecasts and products delivered to customers.
Gareth works with data assimilation development for the 4 km & 1.5 km hi-res UK models, aiming to improve forecasts of key weather elements such as rain, cloud, visibility, screen temperature and 10-metre wind
Jonathan is a research scientist focusing on the interaction between ensembles and data assimilation for convective-scale weather forecasts.
Gordon improves the accuracy and efficiency of the analysis (forecast initial conditions).
Peter performs validation of the regional reanalysis.
Andrew leads some innovative research in Data Assimilation and Ensembles and advises Met Office research projects across a wide area.
Bruce leads the development of operational systems for data assimilation in high-resolution Numerical Weather Prediction (NWP) and land surface models in the Met Office.
Richard works on improving observation usage to positively impact forecast products.
Adam manages the Office Observation Processing System (OPS) and co-ordinates its implementation within the operational NWP forecasting suite.
Stephen manages the Variational Data Assimilation (VAR) system and co-ordinates its implementation within the operational NWP forecasting suite.
Colin is a scientist working on the monitoring of observations used within the Met Office's data assimilation system.
Tim works on four dimensional variational data assimilation (4D-Var).
Chiara works on improving the estimation of the climatological background error covariance using different types of training datasets such as Met Office Global and Regional Ensemble System, ensembles of analyses and analysis increments.
Rick leads the development and implementation of data assimilation upgrades for the Met Office operational global model.
Richard leads work on atmospheric reanalysis and on data assimilation for the land surface.
Kelvyn updates the MOGREPS forecast suite to implement scientific and technical improvements.
Adrian investigates causes of major poor forecasts with an emphasis on data assimilation.
Richard leads the ensemble forecasting research group.
Warren works in the Ensemble Forecasting Group with particular interest in understanding and estimating model forecast error.
Simon A Thompson
Simon maintains and develops the Met Office medium-range ensemble suite.
Mike works in global data assimilation with a special interest in operational NWP suites.
Last updated: 10 April 2014
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