Improving daily streamflow forecasts in mountainous Upper Euphrates basin by multi-layer perceptron model with satellite snow products

详细信息    查看全文

• 作者：Gö ; kç ; en Uysal ; Aynur Şensoy ; ^{asensoy@anadolu.edu.tr} ; A. Arda Şorman
• 关键词：Neural network ; Mountainous basin ; MODIS ; Streamflow forecasting ; Snowmelt modeling
• 刊名：Journal of Hydrology
• 出版年：2016
• 出版时间：December 2016
• 年：2016
• 卷：543
• 期：part_PB
• 页码：630-650
• 全文大小：7550 K
• 卷排序：543

文摘

We forecast daily streamflow for a mountainous area using artificial neural network. SnoTel and satellite data based models are compared with climatic data based models. MODIS daily cloud-free archived snow data are used first time in neural network. Continuous satellite snow data in ANN significantly improves the runoff forecasts. Runoff forecasts are improved with Discrete Wavelet Analysis coupled with ANN.