Shima Azimi

Shima Azimi is a Research Fellow at the University of Trento's Agriculture, Food, and Environment Center (C3A). Her work focuses on hydrology, remote sensing, and data assimilation in mountainous and Mediterranean environments. She utilizes satellite-based observations and computational models like GEOframe-NewAGE to improve water budget analysis, snowfall estimation, and flood modeling. Her research addresses challenges in spatial resolution, climate data correction, and karst basin dynamics.

• Institution: University of Trento
• Role: Research Fellow
• Email: shima.azimi@unitn.it

Research Interests: Shima Azimi specializes in hydrology, integrating remote sensing data with advanced modeling systems to analyze mountain hydrology, snow depth patterns, and water resource management. Her studies often involve data assimilation techniques, satellite soil moisture and evapotranspiration validation, and assessing the impacts of climate variability on hydrological cycles.

Publication Trends: Her recent work (2023–2025) emphasizes hydrological model benchmarking, flux consistency across spatial resolutions, and the use of Sentinel-1 and SMAP satellite data for snow depth and soil moisture assimilation. Earlier studies (2014–2020) focus on streamflow forecasting, wavelet transforms, and flood modeling in earthquake-affected regions.