Innovative Polygonal Trend Analysis (IPTA) in detecting the seasonal trend behavior of statistically downscaled precipitation for the Eastern Black Sea Basin of Turkey
Yazarlar (4)
Doç. Dr. Sinan NACAR
Tokat Gaziosmanpaşa Üniversitesi, Türkiye
Gümüşhane Üniversitesi, Türkiye
Türkiye
Türkiye
| Makale Türü | Özgün Makale |
| Makale Alt Türü | SSCI, AHCI, SCI, SCI-Exp dergilerinde yayınlanan tam makale |
| Dergi Adı | Urban Water Journal |
| Dergi ISSN | 1573-062X Wos Dergi Scopus Dergi |
| Dergi Tarandığı Indeksler | SCI-Expanded |
| Dergi Grubu | Q3 |
| Makale Dili | İngilizce |
| Basım Tarihi | 01-2024 |
| Cilt No | 21 |
| Sayı | 4 |
| Sayfalar | 406 / 418 |
| DOI Numarası | 10.1080/1573062X.2024.2312496 |
| Makale Linki | http://dx.doi.org/10.1080/1573062x.2024.2312496 |
| Özet |
| This study compares projected and past seasonal precipitation trends in the Eastern Black Sea Basin, Turkey. Historical data from twelve stations representing the basin during 1981–2010 was used, while statistically downscaled data from two representative concentration pathway scenarios (RCP4.5 and RCP8.5) outputs of the GFDL-ESM2M general circulation model were utilized for 2021–2050. To determine the seasonal trend behaviors of precipitation variables and transitions between consecutive months, the Innovative Polygon Trend Analysis (IPTA) was implemented. Furthermore, the star concept was employed to illustrate the changing sizes between consecutive periods. Both scenarios showed considerable summer and autumn declines at almost all locations, with low seasonal precipitation variability. These scenarios indicated January to be the important month for trend shift, except for Rize, Pazar, and … |
| Anahtar Kelimeler |
| Climate change | Eastern Black Sea Basin | Innovative polygon trend method (IPTA) | star concept |
BM Sürdürülebilir Kalkınma Amaçları
| Atıf Sayıları | |
| WoS | 11 |
| Google Scholar | 12 |