Pradnya Patil and Sunita Patil
Abstract
Rainfall prediction is a critical aspect of environmental sustainability, particularly in regions where agriculture and water resource management are heavily climate-dependent. This paper explores the integration of Traditional Ecological Knowledge (TEK) with modern scientific approaches to enhance the accuracy and reliability of rainfall forecasting. Rooted in centuries of observation and cultural wisdom, TEK encompasses indigenous practices, celestial observations, and ecological indicators that have historically guided communities in anticipating weather patterns. The study examines the historical significance and methodological foundations of TEK in Indian contexts and juxtaposes these with contemporary meteorological models and data-driven techniques. Through a comprehensive review of case studies and interdisciplinary frameworks, the paper illustrates how combining TEK with modern science fosters a more holistic understanding of climatic phenomena. This synergistic model not only strengthens predictive capabilities but also supports adaptive strategies for sustainable water management and climate resilience. The paper further underscores the importance f preserving and documenting traditional knowledge systems as vital resources for future environmental planning. The findings advocate for a collaborative approach that respects indigenous insights while leveraging the precision of modern technologies to address current and emerging climate challenges.