Navigating Drought Patterns: Time Series Analysis and Heat-map Visualisation of PDSI with Python

The Palmer Drought Severity Index (PDSI) is a crucial meteorological scale for measuring drought severity, developed by Wayne Palmer in the 1960s. It calculates drought conditions using a balance of precipitation, temperature, and other climatic factors. Positive PDSI values indicate wet conditions, negative values signify drought, and zero represents normal moisture levels. PDSI is significant for drought assessment, environmental studies, and policy-making, aiding in water resource management and agricultural planning. However, it has limitations in complex climates and may not effectively represent short-term droughts. Despite these limitations, PDSI remains a key tool in understanding and managing climate and weather-related impacts. <a href="https://medium.com/@trinath27071988/navigating-drought-patterns-time-series-analysis-and-heat-map-visualisation-of-pdsi-with-python-232260527cba">Learn More</a>