Seasonal Temperature Prediction in Niamey: A Prophet Model Approach

Abstract

Precise seasonal temperature forecasting is basic for climate versatility agrarian planning and vitality administration in parched regions This study presents a data driven approach for foreseeing seasonal temperature trends in Niamey utilizing the Prophet model a vigorous timeseries forecasting method created by Facebook Historical climate data from the Climate Inquire about Unit CRU dataset was analyzed and Prophet was utilized to model long-term temperature patterns The results demonstrate a steady warming trend with temperature variances captured viably by the model The proposed approach illustrates the capability of Prophet in dealing with complex seasonal varieties whereas keeping up high predictive exactness These discoveries give important bits of knowledge for policymakers and partners in climate sensitive divisions Future work may explore hybrid models joining extra climatic factors to improve prescient execution.