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The Mann-Kendall Test for Weather Forecasting in Smart Cities
Abstract:
In smart cities, predicting and responding to the coming of severe weather is one of the most important advantages that can be gained from precise weather forecasting. As a direct consequence of climate change, the planet is experiencing an increased frequency of heatwaves, storms, and floods more often than in the past. To be able to respond promptly, local government agencies must have access to precise weather predictions, which would help them in decision making and effectively delivering emergency aid, and, if necessary, evacuating areas that are at a larger risk of danger. In addition to this, people can use mobile apps to get weather forecasts in a short amount of time. This article employs the Mann-Kendall test to analyse monthly time series data, specifically focusing on weather parameters like temperature, soil moisture, and precipitation. This test will certainly provide useful insights to choose the best appropriate model for predicting drought-related parameters, which will be later visualized and presented to decision makers.
CITATION:
IEEE format
M. Todorov, N. Tihi, M. Pavlović, S. Suljević, “The Mann-Kendall Test for Weather Forecasting in Smart Cities,” in Sinteza 2025 - International Scientific Conference on Information Technology, Computer Science, and Data Science, Belgrade, Singidunum University, Serbia, 2025, pp. 228-232. doi:10.15308/Sinteza-2025-228-232
APA format
Todorov, M., Tihi, N., Pavlović, M., Suljević, S. (2025). The Mann-Kendall Test for Weather Forecasting in Smart Cities. Paper presented at Sinteza 2025 - International Scientific Conference on Information Technology, Computer Science, and Data Science. doi:10.15308/Sinteza-2025-228-232
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