Long-term climate anomalies in Türkiye and their relationships with the QBO, NAO and AO
THEORETICAL AND APPLIED CLIMATOLOGY, cilt.157, sa.10, 2026 (SCI-Expanded, Scopus)
- Yayın Türü: Makale / Tam Makale
- Cilt numarası: 157 Sayı: 10
- Basım Tarihi: 2026
- Doi Numarası: 10.1007/s00704-026-06541-z
- Dergi Adı: THEORETICAL AND APPLIED CLIMATOLOGY
- Derginin Tarandığı İndeksler: Science Citation Index Expanded (SCI-EXPANDED), Scopus, IBZ Online, Aerospace Database, Artic & Antarctic Regions, BIOSIS, Environment Index, Geobase, Index Islamicus, INSPEC, Academic Search Ultimate (EBSCO), Natural Science Collection (ProQuest), Biomedical Reference Collection: Corporate Edition (EBSCO), Earth, Atmospheric, & Aquatic Science Collection (ProQuest), Materials Science & Engineering Collection (ProQuest), Technology Collection (ProQuest)
- Karadeniz Teknik Üniversitesi Adresli: Evet
Özet
This study investigates the spatiotemporal variability of temperature, sea-level pressure, wind speed, and precipitation across T & uuml;rkiye during 1946-2025 using daily observations from 135 Global Surface Summary of the Day (GSOD) stations. Standardized anomalies were calculated using Z-transformation, and long-term trends, inter-variable correlations, and relationships with the Quasi-Biennial Oscillation (QBO), North Atlantic Oscillation (NAO), and Arctic Oscillation (AO) were examined. The results reveal a clear nationwide warming tendency, particularly in central and western T & uuml;rkiye, together with an overall decline in wind speed. Sea-level pressure and precipitation show weaker and more regionally variable trends. The climate variables are generally weakly correlated, indicating that they respond differently to regional atmospheric circulation and local geographical controls. The QBO shows no statistically significant relationship with the selected surface climate variables at either 10 hPa or 70 hPa. Annual correlation analysis between the NAO and precipitation and between the AO and sea-level pressure shows a significant positive relationship. The combined NAO-AO regression explains 8.0% of the variance in sea-level pressure and is statistically significant, whereas the models for temperature, wind speed, and precipitation remain weak or only marginally significant. These findings indicate that mid-latitude circulation modes, particularly the NAO and AO, are more relevant to annual climate variability over T & uuml;rkiye than the QBO.