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Variability of snow and rainfall partitioning into evapotranspiration and summer runoff across nine mountainous catchments
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  • Matthias Sprenger,
  • Rosemary W.H. Carroll,
  • P. James J Dennedy-Frank,
  • Erica R. Siirila-Woodburn,
  • Michelle E. Newcomer,
  • Wendy S Brown,
  • Alexander Newman,
  • Curtis A Beutler,
  • Markus Bill,
  • Susan S. Hubbard,
  • Kenneth H. Willams
Matthias Sprenger
Lawrence Berkeley National Laboratory

Corresponding Author:[email protected]

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Rosemary W.H. Carroll
Desert Research Institute
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P. James J Dennedy-Frank
Stanford University
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Erica R. Siirila-Woodburn
Lawrence Berkeley National Laboratory (DOE)
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Michelle E. Newcomer
Lawrence Berkeley National Laboratory (DOE)
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Wendy S Brown
Rocky Mountain Biological Laboratory
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Alexander Newman
Rocky Mountain Biological Laboratory
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Curtis A Beutler
Rocky Mountain Biological Laboratory
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Markus Bill
Lawrence Berkeley National Laboratory
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Susan S. Hubbard
Lawrence Berkeley National Laboratory (DOE)
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Kenneth H. Willams
Lawrence Berkeley National Lab
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Abstract

Understanding the partitioning of snow and rain contributing to either catchment streamflow or evapotranspiration (ET) is of critical relevance for water management in response to climate change. To investigate this partitioning, we use endmember splitting and mixing analyses based on stable isotope (18O) data from nine headwater catchments in the East River, Colorado. Our results show that one third of the snow partitions to ET and 13% of the snowmelt sustains summer streamflow. Only 8% of the rainfall contributes to the summer streamflow, because most of the rain (67%) partitions to ET. The spatial variability of precipitation partitioning is mainly driven by aspect and tree density across the sub-catchments. Catchments with higher tree density have a higher share of snow becoming ET, resulting in less snow in summer streamflow. Summer streamflow did not contain more rain with higher rainfall sums, but more rain was taken up in ET.