Posters

Abstract

Orographic features play a crucial role in atmospheric dynamics, influencing processes such as boundary layer development, wind flow patterns, and turbulence. This study investigates the sensitivity of the Weather Research and Forecasting (WRF) model, configured with Large Eddy Simulation (LES), to various high-resolution orographic maps. Using a set of case studies over complex terrain, simulations are conducted with multiple orographic datasets differing in resolution and topographic detail. The results are evaluated in terms of key meteorological variables, including wind speed and direction. Model outputs are systematically compared against observational data, where applicable, field campaigns. Emphasis is placed on quantifying how differences in orographic detail influence the model’s ability to replicate observed phenomena, particularly under conditions of strong topographic forcing. Preliminary findings highlight that higher-resolution orographic maps enhance the representation of local wind circulations and turbulence structures, especially in regions with steep gradients. However, the improvements are case-dependent and vary with atmospheric stability and synoptic conditions. The study also explores potential trade-offs in computational cost versus accuracy when employing finer orographic datasets. This research provides valuable insights into optimizing WRF-LES setups for studies in complex terrains, contributing to improved weather prediction, air quality modeling, and climate studies. The findings underline the importance of integrating high-quality orographic data to capture terrain-induced dynamics accurately.