Improvement of springtime streamflow prediction using a snow hydrology model aided with USDA SNOTEL and in-situ snowpit observations

Improvement of springtime streamflow prediction using a snow hydrology model aided with USDA SNOTEL and in-situ snowpit observations

Estimating the streamflow driven by snowmelt in rugged mountain watersheds is difficult. Challenges are associated with the limited observations of hydrologic and meteorological datasets and inadequate implementation of the snow hydrology models. This study aims to improve streamflow prediction duri...

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Bibliographic Details
Main Authors: DoHyuk Kang, Kyungtae Lee, Edward Kim
Format: Article
Language:English
Published: IWA Publishing 2022-12-01
Series:Hydrology Research
Subjects:
in-situ snowpit observation
snotel station
snow hydrology model
snowmelt-dominant basin
streamflow
temperature index
Online Access:http://hr.iwaponline.com/content/53/12/1510

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