Evaluation of the suitability of NCEP/NCAR, ERA-Interim and, ERA5 reanalysis data sets for statistical downscaling in the Eastern Black Sea Basin, Turkey
Yazarlar (3)
Doç. Dr. Sinan NACAR
Tokat Gaziosmanpaşa Üniversitesi, Türkiye
Bursa Uludağ Üniversitesi, Türkiye
Türkiye
| Makale Türü | Özgün Makale |
| Makale Alt Türü | SSCI, AHCI, SCI, SCI-Exp dergilerinde yayınlanan tam makale |
| Dergi Adı | METEOROLOGY AND ATMOSPHERIC PHYSICS |
| Dergi ISSN | 0177-7971 Wos Dergi Scopus Dergi |
| Dergi Tarandığı Indeksler | SCI-Expanded |
| Dergi Grubu | Q4 |
| Makale Dili | Türkçe |
| Basım Tarihi | 04-2022 |
| Cilt No | 134 |
| Sayı | 2 |
| Sayfalar | 1 / 23 |
| DOI Numarası | 10.1007/s00703-022-00878-6 |
| Makale Linki | https://link.springer.com/article/10.1007/s00703-022-00878-6 |
| Özet |
| Climate community frequently uses gridded reanalysis data sets in their climate change impact studies. However, these studies for a region yield more realistic results depending on the rigorous analysis of the reanalysis data sets for this region. This study aims to determine the most suitable reanalysis data set for the statistical downscaling method in the Eastern Black Sea Basin, one of Turkey's most important hydrological basins owing to the precipitation it receives throughout the year. For this purpose, the monthly mean temperature and total precipitation data measured from the 12 meteorological stations and 12 large-scale predictors of the NCEP/NCAR, ERA-Interim, and ERA5 reanalysis data sets were used. The multivariate adaptive regression splines (MARS) and conventional regression analysis with linear and exponential functions were used to create effective statistical downscaling models. For evaluating … |
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BM Sürdürülebilir Kalkınma Amaçları
| Atıf Sayıları | |
| WoS | 26 |
| Google Scholar | 40 |