Dr Stamatios Christos Batelis

Job: Senior Associate – Data Scientist

Employer: Financial Conduct Authority

PhD Thesis: The impact of groundwater representation in land surface models under current and future scenarios in Great Britain

Supervisors: Dr Rafael Rosolem and Dr Mostaquimur Rahman


Land Surface Models (LSM) are based on physics principles and simulate the exchange of energy, water and biogeochemical cycles between the land surface and lower atmosphere. Such models are typically applied for climate studies or effects of land use changes but as the resolution of LSMs and supporting observations are continuously increasing, its representation of hydrological processes need to be addressed adequately. LSMs can be a powerful tool because of their ability to spatially represent a region with much finer resolution. However, despite such advantages, its performance has not been extensively assessed for flood forecasting simply because its representation of typical hydrological processes, such as overland flow and base flow, are still either ignored or roughly represented. This project focus on improving the hydrological representation of such land surface models to improve their flood forecasting skills, while making use of available high resolution hydrometeorological data.



  • MEng in Rural and Surveying Engineering, National Technical University of Athens (NTUA), Greece – Diploma Thesis: Impact of fires in the water potential of drainage basins. The case of Enipeas River in Thessaly.
  • MSc in Water Resources, Science and Technology, National Technical University of Athens (Distinction) – Master Thesis: Estimation of uncertainty in rating curves and its impact on the calibration of hydrological models.



  • Batelis, S.C., Rosolem, R., Han, D. and Rahman, M., 2017. Testing the Joint UK Land Environment Simulator (JULES) for flood forecasting. In EGU General Assembly Conference Abstracts (Vol. 19, p. 4118).
  • Markonis, Y., Batelis, S.C., Dimakos, Y., Moschou, E. and Koutsoyiannis, D., 2017. Temporal and spatial variability of rainfall over Greece. Theoretical and Applied Climatology, 130(1-2), pp.217-232.
  • C. Batelis and I. Nalbantis, (2014). Potential effects of Forest Fires on Streamflow in the Enipeas River Basin, Thessaly, Environmental Processes, 1(1), 73-85.
  • Dimakos, Y., Moschou, E., Batelis, S., Markonis, Y. and Koutsoyiannis, D., 2014. Monthly rainfall trends in Greece (1950-2012). In EGU General Assembly Conference Abstracts (Vol. 16).


Research Interests

  • Real time forecasting
  • Uncertainty in natural processes
  • Stochastic hydrology
  • Water resources management


2017 Summer School Research Presentation

2017 Summer School Research Poster


Linkedin: stamatis batelis