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Data Assimilation and Ensembles
- Our Scientists
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Dale leads Data Assimilation and Ensembles (DAE) section of Weather Science, which undertakes research and development in observations processing, data assimilation and ensemble forecasting.
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Susan leads the Convective-Scale Data Assimilation and Nowcasting group, responsible for research and development into convective-scale data assimilation and numerical weather prediction-based nowcasting for the Met Office, based at the Joint Centre for Mesoscale Meteorology at Reading University.
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Sarah works in the Ensemble Forecasting Group with particular interest in understanding and estimating model forecast error.
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Undertake modelling of land-surface to improve the quality of NWP forecasts and products delivered to customers.
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Neill works on ensemble forecasting, particularly on developing perturbations to the initial conditions of the forecast.
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Helen is currently trialling the 3D-Var assimilation of Doppler radial winds in the UK 4 km model (UK4), and will shortly be working on the assimilation of radar reflectivities.
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Jean-Francois works on atmospheric data assimilation for convective-scale modelling.
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Cristina works on high-resolution data assimilation with a specific focus on model cloud microphysics.
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Adam works on coupled variational/ensemble data assimilation.
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Mike leads a Met Office data assimilation research group and also works on theoretical atmospheric dynamics and nonlinear partial differential equations.
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Gareth works with data assimilation development for the 4km & 1.5km hi-res UK models, aiming to improve forecasts of key weather elements such as rain, cloud, visibility, screen temperature and 10-metre wind
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Jonathan is a research scientist working on the generation, use and verification of ensemble forecasts
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Lee works on the assimilation of radar reflectivity.
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Bruce is a senior scientist working on data assimilation.
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Gordon improves the accuracy and efficiency of the analysis (forecast initial conditions).
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Peter develops ensemble data assimilation techniques.
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Christine is researching ensemble forecasts for application in data assimilation.
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Graeme works on Variational Analysis with a particular interest in the use of satellite data.
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Zhihong works on data assimilation methods for 1.5 km resolution NWP-based nowcasting systems.
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Andrew leads some innovative research in Data Assimilation and Ensembles and advises Met Office research projects across a wide area.
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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.
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Richard works on improving observation usage to positively impact forecast products.
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Adam manages the Office Observation Processing System (OPS) and co-ordinates its implementation within the operational NWP forecasting suite.
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Keith works on moist physics and four-dimensional variational assimilation (4D-Var).
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Stephen manages the Variational Data Assimilation (VAR) system and co-ordinates its implementation within the operational NWP forecasting suite.
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Colin is a scientist working on the monitoring of observations used within the Met Office's data assimilation system.
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Tim works on four dimensional variational data assimilation (4D-Var).
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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.
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Rick leads the development and implementation of data assimilation upgrades for the Met Office operational global model.
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Richard works on assimilation of observations into limited area models, with particular interest in cloud and precipitation.
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Kelvyn updates the MOGREPS forecast suite to implement scientific and technical improvements.
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Adrian investigates causes of major poor forecasts with an emphasis on data assimilation.
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David's current work focuses on the assimilation of doppler radar radial wind observations in high-resolution convective-scale NWP models.
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Richard leads the ensemble forecasting research group.
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Warren works in the Ensemble Forecasting Group with particular interest in understanding and estimating model forecast error.
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Simon maintains and develops the Met Office medium-range ensemble suite.
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Mike works in global data assimilation with a special interest in operational NWP suites.
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Robert works on assimilating infrared satellite data into convective-scale NWP models, as well as managing the website of the NWP SAF.
