Mathematical modeling for local wind fields based on numerical analysis and data-driven modeling

This study presents a numerical simulation and a data-driven model of a local wind field over two small lakes in Jyvaskyla, Finland. Five temporary monitoring stations observed wind speed/direction around the two lakes. In addition, an official meteorological station located 15 km north of the lakes is permanently available. Numerical simulations based on digital elevation model (DEM) and laser-scanned height data provides characteristics of the local wind field around the targeted lakes. Based on a statistical analysis for the spatio-temporal wind data, we built two regression models for estimating spatial distribution of local wind speed and directions based on the DEM and official-station data. We compared the predicted wind speeds/directions by the proposed model with the corresponding observation data and a numerical result for model validation. We found that the proposed model could effectively simulate heterogeneous local wind fields and considers uncertainty of estimates.