Abstract
Water is one of the indispensable resources for continuing life on earth. For about 4 billion years, the amount of water on earth has been constant, and this amount is accepted as stable over time. This shows us that today’s water belongs to a cycle of billions of years. In this cycle, snowfall and snow cover on land are among the best clean water resources. The fact that the hydro-meteorological parameters are not constant over time necessitates the analysis of these parameters. These analyses are crucial for detecting anomalies in these parameters and monitoring climate change. But most trend analysis studies are performed on precipitation and temperature data, and snowfall data is often overlooked. In this study, the Şen trend test was applied to the winter season data (snow-covered days, number of days with snowfall, average snow height) of 12 Turkish State Meteorological Service (TSMS) stations in the central Anatolia Region at 95% of the confidence interval between 1976 and 2020. According to the results obtained for the number of days covered with snow, there is a decreasing trend in all 12 stations, but only 1 (Kayseri station) is statistically significant. No trend has been observed for the number of days with snowfall, and for the average snow height, only 1 (Niğde station) station shows an increasing trend.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
Chenchouni, H., Chaminé, H.I., Khan, M.F., et al. (2022). New Prospects in Environmental Geosciences and Hydrogeosciences. Cham, Springer. https://doi.org/10.1007/978-3-030-72543-3
Demir, V. (2018). Trend analysis of precipitation in Black Sea Region [Master’s Thesis]. Ondokuz Mayıs University, Graduate School of Sciences, p. 161 (in Turkish).
Kızılelma, Y., Çelik, M. A., & Karabulut, M. (2015). Trend analyses of temperature and precipitations in Central Anatolia. Turkish Geographical Review, 64, 1–10.
Koç, T., & Kartum, Ş. (2008). The characteristics and distribution of snowy days in Turkey (pp. 339–348). Turkish Geography Research and Application Center V. National Geography Symposium.
Negm, A., Bouderbala, A., Chenchouni, H., & Barcelo, D. (2020). Water Resources in Algeria - Part I: Assessment of Surface and Groundwater. Springer, Cham. http://doi.org/10.1007/978-3-030-57895-4
Özgür, E. (2013). Annual and regional trend analysis of ratio of snowfall days to total precipitation days [Master’s Thesis]. İstanbul Technical University Graduate School of Sciences, p. 118 (in Turkish).
Şen, Z. (2012). Innovative trend analysis methodology. Journal of Hydrologic Engineering, 17(9), 1042–1046.
Şen, Z. (2014). Trend identification simulation and application. Journal of Hydrologic Engineering, 19(3), 635–642.
Şen, Z. (2015). Innovative trend significance test and applications. Theoretical and Applied Climatology, 127, 939–947.
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2023 The Author(s), under exclusive license to Springer Nature Switzerland AG
About this paper
Cite this paper
Yılmaz, C.B., Demir, V., Sevimli, M.F., Demir, F. (2023). Trend Analysis of Snowfall Data for the Central Anatolian Region. In: Chenchouni, H., et al. Recent Research on Hydrogeology, Geoecology and Atmospheric Sciences . MedGU 2021. Advances in Science, Technology & Innovation. Springer, Cham. https://doi.org/10.1007/978-3-031-43169-2_52
Download citation
DOI: https://doi.org/10.1007/978-3-031-43169-2_52
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-031-43168-5
Online ISBN: 978-3-031-43169-2
eBook Packages: Earth and Environmental ScienceEarth and Environmental Science (R0)