Metodija (Meto) Shapkalijevski
Ph.D., Researcher.
Fields of work
Theoretical and computational meteorology; development of numerical weather prediction systems with focus on atmospheric boundary-layer processes and surface-atmosphere continuum.
Research interests
- Atmospheric boundary-layer turbulence, clouds, and chemistry
- Surface-vegetation-atmosphere exchange processes (momentum, energy, reactive chemical compounds)
- Transport interaction in multiscale atmospheric processes (from meso to micro)
Special competences
- Using a set of models: conceptual models, large-eddy simulations, numerical weather prediction systems
- Retrieval and analysis of meteorological data from point and remote sensing instruments
- Using and developing data-driven stochastic parameterizations
Latest publications
Increasing complexity in Aerodynamic Gradient flux calculations inside the roughness sublayer applied on a two-year dataset
E. A. Melman, S. Rutledge-Jonker, M. Braam, K. F. A. Frumau, A. F. Moene, Metodija Shapkalijevski, J. Vila-Guerau de Arellano, M. C. van Zanten
Perspectives toward Stochastic and Learned-by-Data Turbulence in Numerical Weather Prediction
Metodija Shapkalijevski
Modeling the Flow Response to Surface Heterogeneity during a Semi-Idealized Diurnal Cycle
Erik Janzon, Johan Arnqvist, Metodija Shapkalijevski, Heiner Körnich, Anna Rutgersson