This project delves into the application of advanced machine learning techniques to reconstruct historical precipitation patterns from tree-ring data, with a prime example being the study conducted on Slovenia's Sava River Basin, titled "Machine-Learning-Based Precipitation Reconstructions." The focus is on harnessing Artificial Intelligence and Machine Learning to interpret tree-ring proxies, which serve as natural archives of past climatic conditions, providing valuable insights into climate variability over centuries.
The primary goal of this research is to refine our understanding of historical climate dynamics and their impact on regional hydrology, particularly in areas like the Sava River Basin that are crucial for water resource management and environmental planning. By achieving more precise reconstructions of past climates, this project supports improved forecasting and strategic resource management, ensuring that regions are better equipped to handle climatic shifts and their implications on water availability and ecosystem health.