Our research is focused on statistical analysis of hydrological and climate variability and mathematical modelling of related physical processes. The specific topics include:
Development and application of climate change impact assessment methods
- statistical downscaling/bias correction of climate model outputs for hydrological impact studies
- validation of control climate simulations, assessment of changes in climate model projections
- analysis of climate model ensembles, uncertainty assessment
Statistical analysis of extremes
- regional modelling of precipitation and runoff extremes, including drought
- non-stationary (regional) extreme value models
- multi-component extremal models
- links between surface climate extremes and atmospheric circulation
Spatio-temporal variability
- statistical modelling of spatial variability, interpolation techniques
- modelling of snow cover development, rain-on-snow events and avalanche risk
- modelling and monitoring of infiltration processes
- assessment of rainfall erosivity and space-time development of droughts
Development of mathematical and hydrological models
- identification of hydrological processes at the catchment scale, recessions analysis of baseflow, analysis of storage discharge relationships
- hydrological black box modelling – artificial neural networks models etc.
- development of nature inspired global optimization algorithms and gradient based optimization methods for calibration of hydrological models
Hydrodynamics of porous media
- modelling the transport problems in porous media (including snow) (water, soluble and non-soluble compounds and heat)
- development of adaptivity techniques for efficient solutions of large systems of linear equations arising from discretization and linearization of coupled systems of partial differential equations using finite element method and domain decomposition.