Probabilistic snow cover and ensemble streamflow estimations in the Upper Euphrates Basin
JOURNAL OF HYDROLOGY AND HYDROMECHANICS, cilt.67, sa.1, ss.82-92, 2019 (SCI-Expanded, Scopus)
- Yayın Türü: Makale / Tam Makale
- Cilt numarası: 67 Sayı: 1
- Basım Tarihi: 2019
- Doi Numarası: 10.2478/johh-2018-0025
- Dergi Adı: JOURNAL OF HYDROLOGY AND HYDROMECHANICS
- Derginin Tarandığı İndeksler: Science Citation Index Expanded (SCI-EXPANDED), Scopus
- Sayfa Sayıları: ss.82-92
- Anahtar Kelimeler: Euphrates River Basin, MODIS, Probabilistic snow maps, Hydrological modeling, Ensemble streamflow estimation, EASTERN PART, RIVER-BASIN, MOUNTAINOUS REGIONS, WATER EQUIVALENT, HIMALAYAN BASIN, RUNOFF PROCESS, SATELLITE DATA, AREA DATA, MODIS, PRODUCTS
- Açık Arşiv Koleksiyonu: AVESİS Açık Erişim Koleksiyonu
- Anadolu Üniversitesi Adresli: Evet
Özet
Predicting snow cover dynamics and relevant streamflow due to snowmelt is a challenging issue in mountainous basins. Spatio-temporal variations of snow extent can be analyzed using probabilistic snow cover maps derived from satellite images within a relatively long period. In this study, Probabilistic Snow Depletion Curves (P-SDCs) and Probabilistic Snow Lines (P-SLs) are acquired from Moderate Resolution Imaging Spectroradiometer (MODIS) cloud-filtered daily snow cover images. Analyses of P-SDCs show a strong correlation with average daily runoff (R-2 = 0.90) and temperature (R-2 = 0.96). On the other hand, the challenge lies in developing noteworthy methods to use P-SDCs in streamflow estimations. Therefore, the main objective is to explore the feasibility of producing probabilistic runoff forecasts with P-SDC forcing in a snow dominated basin.