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.
- Member of Met Office Weather Radar Network Renewal project board.
- Member of UKV 4DVAR project board.
- Management Committee member of COST concerted research action ES1303- Towards operational ground based profiling with ceilometers, doppler lidars and microwave radiometers for improving weather forecasts.
- Met Office supervisor to CASE student at the University of Reading, working on ceilometer backscatter
- Met Office coordinator for collaboration with NERC on Flooding from Intense Rainfall programme and Co-Investigator for work including assimilation of radar reflectivity and refractivity data, correlated observation errors and investigations of moist control variables and balance in convective scale data assimilation
She joined the Met Office and worked on vortex dynamics for fundamental fluid dynamics, before moving to work on the development of the formulation of the 15 km nonhydrostatic mesoscale model, particularly the dynamics and physical parametrizations, and training forecasters on the interactive mesoscale initialization.
Susan then had a short time at the Met Office/Oxford University Hooke Institute at the University of Oxford working on use of satellite data in NWP. She was promoted to lead that group before leading the Met Office group responsible for the development of the operational mesoscale NWP system, introducing first the original nonhydrostatic model and then the hydrostatic unified model for 15 km NWP forecasts over the UK.
She then worked at the JCMM at the University of Reading on development of a mixed phase microphysics scheme and led a group using mesoscale NWP in field study campaigns to validate and improve the model formulation, as well as to understand mesoscale processes.
Susan then lead the final development of the Met Office operational global 3D and then 4D-variational data assimilation schemes, and the development of the linear model for use in 4D-variational data assimilation.
In 2003 Susan returned to JCMM to lead the development of the convective scale data assimilation and nowcasting systems and exploitation of novel remote sensing data such as radar. In 2010 JCMM merged with Met Office climate science staff atUniversity of Reading to become MetOffice@Reading.
Since 2003 Susan has been Met Office supervisor to three CASE students at the University of Reading, working on radar refractivity data and ensemble techniques for data assimilation. Susan has also collaborated with the University of Reading FREE project on use of radar insect radial Doppler winds and refractivity data, the University of Reading NCEO data assimilation staff on ensemble methods and derivation of improved background error covariance, with UK universities funded by NERC on DIAMET and COPE projects and with KMA and BMRC on radar data assimilation.
Susan led the development of the The Nowcasting Demonstration Project for the London 2012 Olympic and Paralympic Games was run in real-time from March 2012 til April 2013 using hourly cycling 4DVAR plus 6 hour forecasts at 1.5km resolution over Southern England and Wales.
- Twice member of the Royal Meteorological Society (RMetS) Council.
- Former Associate Editor of Atmospheric Research Letters.
- Former Lead for SRNWP convective scale/variational data assimilation theme.
- Member of organising committee for many international meetings and conferences.
- Former Management Committee member of COST concerted research action 731 - Propagation of uncertainty in advanced meteo-hydrological forecast systems.
- Former Advisor to COST EG-CLIMNET - European Ground-Based Observations of Essential Variables for Climate and Operational Meteorology.