Climate change impacts on sea surface temperature (SST) trend around Turkey seashores

Acta Geophysica

article

Dabanli, Ismail¹  Şişman, Eyüp¹  Güçlü, Yavuz Selim³  Birpınar, Mehmet Emin⁴  Şen, Zekai¹ 

[1] School of Engineering and Natural Sciences, Civil Engineering Department, Istanbul Medipol University;Climate Change Researches Application and Research Center, Istanbul Medipol University;Department of Civil Engineering, Engineering and Natural Sciences Faculty, Istanbul Medeniyet University;Ministry of Environment and Urbanization;Center of Excellence for Climate Change Research (CECCR), Faculty of Arid Lands, Meteorology and Agriculture, King Abdulaziz University

关键词: Climate change;    Sea surface temperature (SST);    Innovative trend analysis;    Mann–Kendall;    Turkey’s seashore;    Marine life;   

DOI  :  10.1007/s11600-021-00544-2

学科分类：地球科学(综合)

来源: Polska Akademia Nauk * Instytut Geofizyki

【 摘 要 】

This paper focuses on sea surface temperature (SST) trends due to the importance of temperature difference in climate change impact research. These trends are not only essential for climate, but they are also important for marine ecosystem. Immigration of fish population due to the temperature changes is expected to cause unexpected economical results. For this purpose, both classical Mann–Kendall, (MK) (Mann in Econom: J Econom Soc 13:245–259, 1945; Kendall in Rank Correlation Methods, Charless Griffin, London, 1975) and innovative trend analysis (ITA) (Şen in J Hydrol Eng 17(9):1042–1046, 2012) methodologies are applied for the SST data records. Monthly SST data are considered along the Black, Marmara, Aegean, and Mediterranean coastal areas in Turkey. SST data are categorized into five clusters considering fish life as “hot,” “warm-hot,” “warm,” “cold,” and “very cold.” According to ITA, SST in all coastal areas tends to increase except for winter season during “very cold” (0–10 °C) temperatures. The temperature changes in both winter and summer seasons are expected to change the marine life, fish population, tourism habit, precipitation regime, and drought feature.

【 授权许可】

Unknown