Redirigiendo al acceso original de articulo en 24 segundos...
Inicio  /  Hydrology  /  Vol: 3 Núm: 1 Par: March (2016)  /  Artículo
ARTÍCULO
TITULO

Spatial Heterogeneity of Snow Density and Its Influence on Snow Water Equivalence Estimates in a Large Mountainous Basin

Karl Wetlaufer    
Jordy Hendrikx and Lucy Marshall    

Resumen

No disponible

 Artículos similares

       
 
Chiara Corbari, Giovanni Ravazzani, Alessandro Perotto, Giulio Lanzingher, Gabriele Lombardi, Matteo Quadrio, Marco Mancini and Raffaele Salerno    
This paper presents a system for supporting hydropower production on mountainous areas. The system couples the outputs of a numerical weather prediction model and a snow melting and accumulation temperature-based model. Several procedures are presented f... ver más
Revista: Hydrology

 
Soroush Zarghami Dastjerdi, Ehsan Sharifi, Rozita Rahbar and Bahram Saghafian    
Climate change, urbanization, and a growing population have led to a rapid increase in groundwater (GW) use. As a result, monitoring groundwater changes is essential for water managers and decision-makers. Due to the lack of reliable and insufficient in ... ver más
Revista: Hydrology

 
Hadis Pakdel-Khasmakhi, Majid Vazifedoust, Dev Raj Paudyal, Sreeni Chadalavada and Md Jahangir Alam    
Understanding the effects of global change and human activities on water supplies depends greatly on surface water dynamics. A comprehensive examination of the hydroclimatic variations at the transboundary level is essential for the development of any ad... ver más

 
Isaac J. Y. Schrock, Steven R. Fassnacht, Antonio-Juan Collados-Lara, William E. Sanford, Anna K. D. Pfohl and Enrique Morán-Tejeda    
The spatial characteristics and patterns of snow accumulation and ablation inform the amount of water stored and subsequently available for runoff and the timing of snowmelt. This paper characterizes the snow accumulation phase to investigate the spatiot... ver más
Revista: Hydrology

 
Kai Zheng, Jiansheng Li, Lei Ding, Jianfeng Yang, Xucheng Zhang and Xun Zhang    
The segmentation of cloud and snow in satellite images is a key step for subsequent image analysis, interpretation, and other applications. In this paper, a cloud and snow segmentation method based on a deep convolutional neural network (DCNN) with enhan... ver más