Susan leads the Data Assimilation @ Reading Group based at MetOffice@Reading Unit at the Department of Meteorology, University of Reading. The group undertakes collaborative research and development into use of novel observations such as radar reflectivity, refractivity and ceilometers backscatter and improved data assimilation for convective-scale data assimilation and numerical weather prediction-based nowcasting and flash flood prediction.
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.
Helen is currently researching the use of the forecast sensitivity to observations (FSO) technique in the UK 1.5-km model (UKV).
Brett's research is aimed at improving Met Office forecasts through better use of land surface data.
Cristina works on high-resolution data assimilation with a specific focus on the potential for assimilation of ceilometer backscatter profiles. She works in the Data Assimilation @ Reading Group based at MetOffice@Reading Unit at the Department of Meteorology, University of Reading
Adam works on ensemble data assimilation systems, and is currently on secondment to the Korea Meteorological Administration
Jemma works on monitoring of surface observations for reanalysis.
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.
Breogán is improving land surface data assimilation at MetOffice.
Susanna works on the development of the UK ensemble forecasting model, MOGREPS-UK.
Lee works on the assimilation of radar reflectivity. He works in the Data Assimilation @ Reading Group based at MetOffice@Reading Unit at the Department of Meteorology, University of Reading
Bruce is a senior scientist working on data assimilation.
Gordon leads a team developing data assimilation techniques to meet present and future customer requirements.
Mohamed is a research scientist developing and testing methods in data assimilation
Peter works on regional reanalysis.
Graeme works on Variational Analysis with a particular interest in the use of satellite data.
Dingmin works on improving high-resolution data assimilation. He works in the Data Assimilation @ Reading Group based at MetOffice@Reading Unit at the Department of Meteorology, University of Reading.
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 convective-scale data assimilation systems in Numerical Weather Prediction models in the Met Office.
Sana works on improving the analysis of middle atmosphere observations and the simulation of stratospheric dynamics by numerical models.
Adam maintains and develops DAE systems code.
Adam manages the DAE Systems Group, a team of five software engineers with responsibility for provision of Met Office Data Assimilation software for use in operational and research NWP suites. As well as development and provision of the current OPS, VAR and SURF systems, the group is currently planning for next generation DA systems, within the Met Office LFRic software infrastructure framework.
Anne works on improving the representation of model error in the Met Office ensemble prediction systems.
Martin works on convective scale model development. He is currently involved in setting up the data assimilation model for the Singapore SINGV project and works on research related to defence activities.
Larry develops methods for exploiting conventional observations within the global NWP suite and monitors their use and assimilation.
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 is a research scientist working on mathematical methods in data assimilation.
Laura's research focuses on improvements in convective scale weather forecasting for the UK and the tropics. She works in the Data Assimilation @ Reading Group based at MetOffice@Reading Unit at the Department of Meteorology, University of Reading
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.
Adrian investigates causes of major poor forecasts with an emphasis on data assimilation.
David's current work focuses on the assimilation of radar derived refractivity change observations in high-resolution convective-scale NWP models. He works in the Data Assimilation @ Reading Group based at MetOffice@Reading Unit at the Department of Meteorology, University of Reading.
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.
Robert works on assimilating satellite radiance data and satellite-derived cloud information into convective-scale NWP models.
Marco works in the convective scale data assimilation group at MetOffice.
Last updated: 6 January 2016