Susan leads the Advanced Nowcasting Research Group 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.
Dale leads Data Assimilation and Ensembles (DAE) section of Weather Science, which undertakes research and development in observations processing, data assimilation and ensemble forecasting.
Helen is currently researching the use of the forecast sensitivity to observations (FSO) technique in the UK 1.5-km model (UKV).
Cristina works on high-resolution data assimilation with a specific focus on model cloud microphysics.
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.
Lee works on the assimilation of radar reflectivity.
Adam works on coupled variational/ensemble data assimilation.
Graeme works on Variational Analysis with a particular interest in the use of satellite data.
Sana works on improving the analysis of middle atmosphere observations and the simulation of stratospheric dynamics by numerical models.
David's current work focuses on the assimilation of doppler radar radial wind observations in high-resolution convective-scale NWP models.
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
Dingmin works on assimilating of various data, including satellite observations and novel observations, into NWP systems.
Jonathan is a research scientist focusing on the interaction between ensembles and data assimilation for convective-scale weather forecasts.
Robert works on assimilating satellite radiance data and satellite-derived cloud information into convective-scale NWP models.
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.
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).
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.
Simon maintains and develops the Met Office medium-range ensemble suite.
Warren manages the Global Data Assimilation and Ensembles Group with a research interest in understanding and estimating model forecast error.
Mike works in global data assimilation with a special interest in operational NWP suites.
Susanna works on the development of the UK ensemble forecasting model, MOGREPS-UK.
Larry develops methods for exploiting conventional observations within the global NWP suite and monitors their use and assimilation.
Jemma works on monitoring of surface observations for reanalysis.
Last updated: 15 May 2014