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Surface Temperature Trends on the Central Siberian Plateau

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Abstract

Climate change does not occur in the same way worldwide; its effects display regional differences. Some regions with unique characteristics may experience dramatic changes, leading to significant indications for the global climate. The Siberian high, a system of high atmospheric pressure, is formed on the Central Siberian Plateau, affecting a significant part of the northern hemisphere from November to February. Climate changes in this region have significant influences on the global climate cycle. Hence, determining the temperature trends of this region will yield key indicators for climate change studies. Remote sensing provides useful databases for climate change studies, surface temperatures, temporal and spatial resolutions, and numerous advantages. In the present study, we aimed to determine the temporal and spatial surface temperature trends of the Central Siberian Plateau. As our data source, we used MODIS (Aqua and Terra) satellite images for 8 days between 2002- and 2021. The measurements from the region were arranged as monthly and annual values, presented as mean, minimum, maximum, and standard deviation. Then, using these data, we obtained the mean values for the region and performed Mann–Kendall trend analyses. Accordingly, there was an overall increase of more than 2 °C in the study area. We performed a pixel-based Mann–Kendall trend test to reveal the mean annual temperatures and detect local changes. Our findings showed significant rises in temperature in the northern part of the study area.

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Sample data and python program have shared as supplementary material.

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We do not feel the need to express gratitude to any specific individual or organization as this article was written without receiving support or funding from any institution, organization, or individual.

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This study was not supported by any institution or organization.

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Correspondence to Mehmet Özcan.

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Özcan, M., Kaya, Ö. & Doğan, İ. Surface Temperature Trends on the Central Siberian Plateau. J Indian Soc Remote Sens 51, 1343–1355 (2023). https://doi.org/10.1007/s12524-023-01706-z

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  • DOI: https://doi.org/10.1007/s12524-023-01706-z

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