The Spatiotemporal Variability of Snowpack and Snowmelt Water 18O and 2H Isotopes in a Subarctic Catchment

Abstract This study provides a detailed characterization of spatiotemporal variations of stable water 18O and 2H isotopes in both snowpack and meltwater in a subarctic catchment. We performed extensive sampling and analysis of snowpack and meltwater isotopic compositions at 11 locations in 2019 and...

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Main Authors: Kashif Noor, Hannu Marttila, Björn Klöve, Jeffrey M. Welker, Pertti Ala‐aho
Format: Article
Language:English
Published: Wiley 2023-01-01
Series:Water Resources Research
Subjects:
Online Access:https://doi.org/10.1029/2022WR033101
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author Kashif Noor
Hannu Marttila
Björn Klöve
Jeffrey M. Welker
Pertti Ala‐aho
author_facet Kashif Noor
Hannu Marttila
Björn Klöve
Jeffrey M. Welker
Pertti Ala‐aho
author_sort Kashif Noor
collection DOAJ
description Abstract This study provides a detailed characterization of spatiotemporal variations of stable water 18O and 2H isotopes in both snowpack and meltwater in a subarctic catchment. We performed extensive sampling and analysis of snowpack and meltwater isotopic compositions at 11 locations in 2019 and 2020 across three different landscape features: (a) forest hillslope, (b) mixed forest, and (c) open mires. The vertical isotope profiles in the snowpack's layered stratigraphy presented a consistent pattern in all locations before snowmelt, and isotope profiles homogenized during the peak melt period; represented by a 1–2‰ higher δ18O value than prior to melting. Our data indicated that the liquid‐ice fractionation was the prime reason that caused the depletion of heavy isotopes in initial meltwater samples prior to the peak melt period. The liquid‐ice fractionation was influenced by snowmelt rate, with higher fractionation during slow melt. The kinetic liquid‐ice fractionation was evident only in close examination of meltwater lc‐excess values, not δ18O values alone. Meltwater was isotopically heavier and more variable than the depth‐integrated snowpack; the weighted mean of meltwater isotope values was higher by 0.62–1.33‰ δ18O than the weighted mean of snowpack isotope values in forest hillslope and mixed forest areas, and 1.51–6.37‰ δ18O in open mires. Our results reveal close to 3.1‰ δ18O disparity between the meltwater and depth‐integrated snowpack isotope values prior to the peak melt period, suggesting that proper characterization of meltwater δ18O and δ2H values is vital for tracer‐based ecohydrological studies and models.
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spelling doaj-art-5939da02be5a48b1a5762dba0dbcc8c82025-06-26T10:43:14ZengWileyWater Resources Research0043-13971944-79732023-01-01591n/an/a10.1029/2022WR033101The Spatiotemporal Variability of Snowpack and Snowmelt Water 18O and 2H Isotopes in a Subarctic CatchmentKashif Noor0Hannu Marttila1Björn Klöve2Jeffrey M. Welker3Pertti Ala‐aho4Water, Energy and Environmental Engineering Research Unit University of Oulu Oulu FinlandWater, Energy and Environmental Engineering Research Unit University of Oulu Oulu FinlandWater, Energy and Environmental Engineering Research Unit University of Oulu Oulu FinlandEcology and Genetics Research Unit University of Oulu Oulu FinlandWater, Energy and Environmental Engineering Research Unit University of Oulu Oulu FinlandAbstract This study provides a detailed characterization of spatiotemporal variations of stable water 18O and 2H isotopes in both snowpack and meltwater in a subarctic catchment. We performed extensive sampling and analysis of snowpack and meltwater isotopic compositions at 11 locations in 2019 and 2020 across three different landscape features: (a) forest hillslope, (b) mixed forest, and (c) open mires. The vertical isotope profiles in the snowpack's layered stratigraphy presented a consistent pattern in all locations before snowmelt, and isotope profiles homogenized during the peak melt period; represented by a 1–2‰ higher δ18O value than prior to melting. Our data indicated that the liquid‐ice fractionation was the prime reason that caused the depletion of heavy isotopes in initial meltwater samples prior to the peak melt period. The liquid‐ice fractionation was influenced by snowmelt rate, with higher fractionation during slow melt. The kinetic liquid‐ice fractionation was evident only in close examination of meltwater lc‐excess values, not δ18O values alone. Meltwater was isotopically heavier and more variable than the depth‐integrated snowpack; the weighted mean of meltwater isotope values was higher by 0.62–1.33‰ δ18O than the weighted mean of snowpack isotope values in forest hillslope and mixed forest areas, and 1.51–6.37‰ δ18O in open mires. Our results reveal close to 3.1‰ δ18O disparity between the meltwater and depth‐integrated snowpack isotope values prior to the peak melt period, suggesting that proper characterization of meltwater δ18O and δ2H values is vital for tracer‐based ecohydrological studies and models.https://doi.org/10.1029/2022WR033101subarcticsnowpacksnowmeltisotopessnowmelt lysimeterisotope fractionation
spellingShingle Kashif Noor
Hannu Marttila
Björn Klöve
Jeffrey M. Welker
Pertti Ala‐aho
The Spatiotemporal Variability of Snowpack and Snowmelt Water 18O and 2H Isotopes in a Subarctic Catchment
Water Resources Research
subarctic
snowpack
snowmelt
isotopes
snowmelt lysimeter
isotope fractionation
title The Spatiotemporal Variability of Snowpack and Snowmelt Water 18O and 2H Isotopes in a Subarctic Catchment
title_full The Spatiotemporal Variability of Snowpack and Snowmelt Water 18O and 2H Isotopes in a Subarctic Catchment
title_fullStr The Spatiotemporal Variability of Snowpack and Snowmelt Water 18O and 2H Isotopes in a Subarctic Catchment
title_full_unstemmed The Spatiotemporal Variability of Snowpack and Snowmelt Water 18O and 2H Isotopes in a Subarctic Catchment
title_short The Spatiotemporal Variability of Snowpack and Snowmelt Water 18O and 2H Isotopes in a Subarctic Catchment
title_sort spatiotemporal variability of snowpack and snowmelt water 18o and 2h isotopes in a subarctic catchment
topic subarctic
snowpack
snowmelt
isotopes
snowmelt lysimeter
isotope fractionation
url https://doi.org/10.1029/2022WR033101
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