Climate model projections of aridity patterns in Turkiye: A comprehensive analysis using CMIP6 models and three aridity indices
Yazarlar (2)
Doç. Dr. Doğukan Doğu YAVAŞLI Kırşehir Ahi Evran Üniversitesi, Türkiye
Ecmel Erlat Ege Üniversitesi, Türkiye
| Makale Türü |
Özgün Makale
(SSCI, AHCI, SCI, SCI-Exp dergilerinde yayınlanan tam makale)
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| Dergi Adı | INTERNATIONAL JOURNAL OF CLIMATOLOGY (Q2) | ||
| Dergi ISSN | 0899-8418 Wos Dergi Scopus Dergi | ||
| Dergi Tarandığı Indeksler | SCI-Expanded | ||
| Makale Dili | Türkçe | Basım Tarihi | 08-2023 |
| Cilt / Sayı / Sayfa | 43 / 13 / 6207–6224 | DOI | 10.1002/joc.8201 |
| Makale Linki | https://rmets.onlinelibrary.wiley.com/doi/10.1002/joc.8201 | ||
| Özet |
| Climate change can alter the spatial and temporal distribution of aridity around the world through a combination of factors such as reduced precipitation, rising temperatures and decreased evapotranspiration. Especially the Mediterranean region has been identified as vulnerable to anthropogenic climate change due to a significant reduction in precipitation compared to other land regions in all climate models operated under different scenarios. Despite numerous studies on aridity trends, few have focused specifically on Türkiye and considered a comprehensive range of aridity indices and scenarios. This study aims to fill this research gap by providing a more detailed understanding of future aridity trends in Türkiye under various climate change scenarios and using multiple aridity indices. A novelty of this study lies in the simultaneous examination of three aridity indices (PCI, EAI and UNEP AI) for Türkiye, allowing for a more comprehensive assessment of future aridity trends. Furthermore, this study considers three future time periods (2011–2040, 2041–2070 and 2071–2100) and three shared socioeconomic pathways (SSPs) to evaluate the potential range of climate change impacts on aridity in Türkiye. Therefore, in this study, we aimed to determine the changes in aridity conditions in Türkiye until the end of the 21st century. We used three aridity indices: the Pinna combinative index, the Erinç aridity index and the UNEP aridity index. These indices were calculated for the baseline period of 1981–2010 using gridded data (CHELSA) and for the periods of 2011–2040, 2041–2070 and 2071–2100 using three climate models (GFDL-ESM4, MRI … |
| Anahtar Kelimeler |
| aridity index | CHELSA | CMIP6 | Erinc aridity index | Pinna combinative index | Turkiye | UNEP aridity index |
BM Sürdürülebilir Kalkınma Amaçları
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| Google Scholar | 36 |