Improvement of springtime stream fl ow prediction using a snow hydrology model aided with usda snotel and in-situ snowpit observations

HIGHLIGHTS

• who: DoHyuk Kang and colleagues from the Earth System Science Interdisciplinary Center, University of Maryland, College Park, MD, USA have published the paper: Improvement of springtime stream fl ow prediction using a snow hydrology model aided with USDA SNOTEL and in-situ snowpit observations, in the Journal: (JOURNAL) of September/30,/2017
• what: In this study, snowmelt release associated with the temperature rise was implemented in the model by introducing a temperature index. It also notes that this study is aimed at estimating the snowmelt-driven streamflow during an onset of the snowmelt. This study . . .
  

   

  

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