A drought prediction model is a computational system designed to forecast the likelihood and severity of future drought events by analyzing historical climate data, including precipitation, temperature, soil moisture, and other relevant environmental factors, using statistical and machine learning techniques to identify patterns and trends that can indicate potential drought conditions. These models aim to provide early warning systems, allowing water management authorities and communities to prepare for potential water shortages and take proactive measures to mitigate the impacts of drought.
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