Mathematical Regression Modeling for Smart
Environmental Weather Forecasting

Haftamu Menker GebreYohannes

doi:https://doi.org/10.14445/22315373/IJMTT-V38P526

International Journal of Mathematics Trends and Technology

Research Article | Open Access | Download PDF

Volume 38 | Number 3 | Year 2016 | Article Id. IJMTT-V38P526 | DOI : https://doi.org/10.14445/22315373/IJMTT-V38P526

Mathematical Regression Modeling for Smart Environmental Weather Forecasting

Haftamu Menker GebreYohannes

Abstract

Environmental weather forecasts have been increase the city’s ability to be self-sustaining and lowering environmental impact as well as metrological support for critical decisions as climate change brings more extreme weather events. To predict weather meteorologists form models based on the land’s geography and starting weather conditions and they can calculate future forecast by entering it into a computer to be processed. In this paper we will describe a survey of Mathematical techniques and Practices used to model weather forecasting today.

Keywords

Weather forecasting; Multiple Linear Regression Model; Time Series Data; Moving Average Model; Exponential Smoothing Model.

References

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Citation :

Haftamu Menker GebreYohannes, "Mathematical Regression Modeling for Smart Environmental Weather Forecasting," International Journal of Mathematics Trends and Technology (IJMTT), vol. 38, no. 3, pp. 146-150, 2016. Crossref, https://doi.org/10.14445/22315373/IJMTT-V38P526