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arXiv · 2110.13812

Day-ahead Forecasts of Air Temperature

Hewei Wang·Muhammad Salman Pathan·Yee Hui Lee·Soumyabrata Dev
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Abstract

Air temperature is an essential factor that directly impacts the weather. Temperature can be counted as an important sign of climatic change, that profoundly impacts our health, development, and urban planning. Therefore, it is vital to design a framework that can accurately predict the temperature values for considerable lead times. In this paper, we propose a technique based on exponential smoothing method to accurately predict temperature using historical values. Our proposed method shows good performance in capturing the seasonal variability of temperature. We report a root mean square error of $4.62$ K for a lead time of $3$ days, using daily averages of air temperature data. Our case study is based on weather stations located in the city of Alpena, Michigan, United States.

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Hewei Wang, Muhammad Salman Pathan, Yee Hui Lee, Soumyabrata Dev. 2021-10-21. Day-ahead Forecasts of Air Temperature. https://arxiv.org/abs/2110.13812

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