Variability of Snow and Rainfall Partitioning Into Evapotranspiration and Summer Runoff Across Nine Mountainous Catchments

Matthias Sprenger, Rosemary W.H. Carroll, James Dennedy-Frank, Erica R. Siirila-Woodburn, Michelle E. Newcomer, Wendy Brown, Alexander Newman, Curtis Beutler, Markus Bill, Susan S. Hubbard, Kenneth H. Williams

Research output: Contribution to journalArticlepeer-review

24 Scopus citations

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 cover across the sub-catchments. Catchments with higher tree cover 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.

Original languageEnglish
Article numbere2022GL099324
JournalGeophysical Research Letters
Volume49
Issue number13
DOIs
StatePublished - Jul 16 2022

Funding

This work was supported by the US Department of Energy Office of Science under contract DE‐AC02‐05CH11231 as part of Lawrence Berkeley National Laboratory Watershed Function Science Focus Area. We would like to express appreciation to the Rocky Mountain Biological Laboratory for handling US Forest Service permitting.

Keywords

  • catchment hydrology
  • evapotranspiration
  • isotope hydrology
  • mountainous hydrology
  • precipitation partitioning
  • snow

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