Modeling the isotopic evolution of snowpack and snowmelt

Testing a spatially distributed parsimonious approach

Pertti Ala-aho, Doerthe Tetzlaff, James P. McNamara, Hjalmar Laudon, Patrick Kormos, Chris Soulsby

Research output: Contribution to journalArticle

17 Citations (Scopus)
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Abstract

Use of stable water isotopes has become increasingly popular in quantifying water flow paths and travel times in hydrological systems using tracer-aided modeling. In snow-influenced catchments snow melt produces a traceable isotopic signal, which differs from original snowfall isotopic composition because of isotopic fractionation in the snowpack. These fractionation processes in snow are relatively well-understood, but representing their spatiotemporal variability in tracer-aided studies remains a challenge. We present a novel, parsimonious modeling method to account for the snowpack isotope fractionation and estimate isotope ratios in snowmelt water in a fully spatially distributed manner. Our model introduces two calibration parameters that alone account for the isotopic fractionation caused by sublimation from interception and ground snow storage, and snowmelt fractionation progressively enriching the snowmelt runoff. The isotope routines are linked to a generic process-based snow interception-accumulation-melt model facilitating simulation of spatially distributed snowmelt runoff. We use a synthetic modeling experiment to demonstrate the functionality of the model algorithms in different landscape locations and under different canopy characteristics. We also provide a proof-of-concept model test and successfully reproduce isotopic ratios in snowmelt runoff sampled with snowmelt lysimeters in two long-term experimental catchment with contrasting winter conditions. To our knowledge the method is the first such tool to allow estimation of the spatially distributed nature of isotopic fractionation in snowpacks and the resulting isotope ratios in snowmelt runoff. The method can thus provide a useful tool for tracer-aided modeling to better understand the integrated nature of flow, mixing and transport processes in snow-influenced catchments.
Original languageEnglish
Pages (from-to)5813-5830
Number of pages18
JournalWater Resources Research
Volume53
Issue number7
Early online date20 Jul 2017
DOIs
Publication statusPublished - Jul 2017

Fingerprint

snowpack
snowmelt
snow
isotope
isotopic fractionation
modeling
runoff
fractionation
tracer
catchment
interception
melt
sublimation
lysimeter
isotopic ratio
transport process
model test
travel time
water flow
isotopic composition

Keywords

  • snowmelt runoff
  • stable water isotopes
  • isotope fractionation
  • spatially distributed
  • parsimonious modeling
  • tracer-aided modeling
  • modeling
  • snow and ice
  • catchment

Cite this

Modeling the isotopic evolution of snowpack and snowmelt : Testing a spatially distributed parsimonious approach. / Ala-aho, Pertti; Tetzlaff, Doerthe; McNamara, James P.; Laudon, Hjalmar; Kormos, Patrick; Soulsby, Chris.

In: Water Resources Research, Vol. 53, No. 7, 07.2017, p. 5813-5830.

Research output: Contribution to journalArticle

Ala-aho, Pertti ; Tetzlaff, Doerthe ; McNamara, James P. ; Laudon, Hjalmar ; Kormos, Patrick ; Soulsby, Chris. / Modeling the isotopic evolution of snowpack and snowmelt : Testing a spatially distributed parsimonious approach. In: Water Resources Research. 2017 ; Vol. 53, No. 7. pp. 5813-5830.
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abstract = "Use of stable water isotopes has become increasingly popular in quantifying water flow paths and travel times in hydrological systems using tracer-aided modeling. In snow-influenced catchments snow melt produces a traceable isotopic signal, which differs from original snowfall isotopic composition because of isotopic fractionation in the snowpack. These fractionation processes in snow are relatively well-understood, but representing their spatiotemporal variability in tracer-aided studies remains a challenge. We present a novel, parsimonious modeling method to account for the snowpack isotope fractionation and estimate isotope ratios in snowmelt water in a fully spatially distributed manner. Our model introduces two calibration parameters that alone account for the isotopic fractionation caused by sublimation from interception and ground snow storage, and snowmelt fractionation progressively enriching the snowmelt runoff. The isotope routines are linked to a generic process-based snow interception-accumulation-melt model facilitating simulation of spatially distributed snowmelt runoff. We use a synthetic modeling experiment to demonstrate the functionality of the model algorithms in different landscape locations and under different canopy characteristics. We also provide a proof-of-concept model test and successfully reproduce isotopic ratios in snowmelt runoff sampled with snowmelt lysimeters in two long-term experimental catchment with contrasting winter conditions. To our knowledge the method is the first such tool to allow estimation of the spatially distributed nature of isotopic fractionation in snowpacks and the resulting isotope ratios in snowmelt runoff. The method can thus provide a useful tool for tracer-aided modeling to better understand the integrated nature of flow, mixing and transport processes in snow-influenced catchments.",
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note = "This work was funded by the NERC/JPI SIWA project (NE/M019896/1) and the European Research Council ERC (project GA 335910 VeWa). The Krycklan part of this study was supported by grants from the Knut and Alice Wallenberg Foundation (Branch-points), Swedish Research Council (SITES), SKB and Kempe foundation. The data and model code is available upon request. Authors declare that they have no conflict of interest. We would like to thank the three anonymous reviewers for their constructive comments that improved the manuscript.",
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AU - Soulsby, Chris

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N2 - Use of stable water isotopes has become increasingly popular in quantifying water flow paths and travel times in hydrological systems using tracer-aided modeling. In snow-influenced catchments snow melt produces a traceable isotopic signal, which differs from original snowfall isotopic composition because of isotopic fractionation in the snowpack. These fractionation processes in snow are relatively well-understood, but representing their spatiotemporal variability in tracer-aided studies remains a challenge. We present a novel, parsimonious modeling method to account for the snowpack isotope fractionation and estimate isotope ratios in snowmelt water in a fully spatially distributed manner. Our model introduces two calibration parameters that alone account for the isotopic fractionation caused by sublimation from interception and ground snow storage, and snowmelt fractionation progressively enriching the snowmelt runoff. The isotope routines are linked to a generic process-based snow interception-accumulation-melt model facilitating simulation of spatially distributed snowmelt runoff. We use a synthetic modeling experiment to demonstrate the functionality of the model algorithms in different landscape locations and under different canopy characteristics. We also provide a proof-of-concept model test and successfully reproduce isotopic ratios in snowmelt runoff sampled with snowmelt lysimeters in two long-term experimental catchment with contrasting winter conditions. To our knowledge the method is the first such tool to allow estimation of the spatially distributed nature of isotopic fractionation in snowpacks and the resulting isotope ratios in snowmelt runoff. The method can thus provide a useful tool for tracer-aided modeling to better understand the integrated nature of flow, mixing and transport processes in snow-influenced catchments.

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