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Hydrology and Earth System Sciences An interactive open-access journal of the European Geosciences Union
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Preprints
https://doi.org/10.5194/hess-2020-524
https://doi.org/10.5194/hess-2020-524

  01 Dec 2020

01 Dec 2020

Review status: this preprint is currently under review for the journal HESS.

A novel method for cold region streamflow hydrograph separation using GRACE satellite observations

Shusen Wang1, Junhua Li1, and Hazen A. J. Russell2 Shusen Wang et al.
  • 1Canada Centre for Remote Sensing, Natural Resources Canada, Ottawa, K1A 0E4, Canada
  • 2Geological Survey of Canada, Natural Resources Canada, Ottawa, K1A 0E8, Canada

Abstract. Streamflow hydrograph analysis has long been used for separating streamflow into baseflow and surface-runoff components, providing critical information for studies in hydrology, climate and water resources. Defects known with established methods include the lack of physics and arbitrary choice of separation parameters, problems in identifying snowmelt runoff, and limitations on watershed size and hydrogeological conditions. In this study, a GRACE-based model was developed to address these weaknesses and improve hydrograph separation. The model is physically based and does not require a priori parametrisation. The new model was compared with six hydrograph separation methods provided with the U.S. Geological Survey Groundwater Toolbox. The results demonstrated robust estimate by the new model particularly in filtering out the bias of snowmelt runoff in baseflow estimate. This new model is specifically suitable for applications over large watersheds which is complementary to the traditional methods that are limited by watershed size. The output from the model also includes estimates for watershed hydraulic conductivity and drainable water storage, which are useful parameters in evaluating aquifer properties, calibrating and validating hydrological and climate models, and assessing regional water resources.

Shusen Wang et al.

 
Status: open (until 09 Feb 2021)
Status: open (until 09 Feb 2021)
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Shusen Wang et al.

Shusen Wang et al.

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