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@ARTICLE{Popp:1046458,
author = {Popp, Andrea L. and Beria, Harsh and Sprenger, Matthias and
Ala-Aho, Pertti and Coenders-Gerrits, Miriam and Groh,
Jannis and Klaus, Julian and Knapp, Julia L. A. and Koren,
Gerbrand and Bakiri, Iris and Xu Fei, Esther and Gillon,
Marina and Harman, Ciaran and Hissler, Christophe and
Holmes, Tegan and Jeelani, Ghulam and Kalvans, Andis and
Montemagno, Alessandro and Zeray Öztürk, Emel and Žvab
Rožič, Petra and Stadnyk, Tricia and Stumpp, Christine and
Valiente, Nicolas and von Freyberg, Jana and Vreča, Polona
and Zuecco, Giulia and van Meerveld, Ilja and Penna, Daniele
and Kirchner, James W.},
title = {{R}ecent {A}dvances in {T}racer‐{A}ided {M}ixing
{M}odeling of {W}ater in the {C}ritical {Z}one},
journal = {Reviews of geophysics},
volume = {63},
number = {3},
issn = {0034-6853},
address = {Hoboken, NJ},
publisher = {Wiley},
reportid = {FZJ-2025-03811},
pages = {e2024RG000866},
year = {2025},
abstract = {Safeguarding water resources for society and ecosystems
requires a comprehensiveunderstanding of hydrological fluxes
within the Critical Zone, Earth's living skin where the
atmosphere,hydrosphere, biosphere, and lithosphere meet. For
decades, tracer‐aided mixing models have been used to
trackwater flow paths through the Critical Zone, mapping the
journey of water particles from atmospheric moisture
togroundwater. Recent advances in novel tracer measurements
and modeling methodologies offer new insightsinto
hydrological partitioning within the Critical Zone, enabling
improved quantification of water fluxes acrossscales ranging
from microscopic to macroscopic. Advanced tracer‐aided
modeling approaches enable morerigorous testing of
assumptions and improved quantification of uncertainties. In
this review, we (a) summarizestate‐of‐the‐art tracer
and modeling techniques, with an emphasis on stable water
isotope tracers, (b) synthesizeinsights emerging from new
approaches, and (c) highlight opportunities to apply these
methods ininterdisciplinary Critical Zone research.},
cin = {IBG-3},
ddc = {550},
cid = {I:(DE-Juel1)IBG-3-20101118},
pnm = {2173 - Agro-biogeosystems: controls, feedbacks and impact
(POF4-217) / DFG project G:(GEPRIS)460817082 - REWET -
Vorhersage, Herkunft und Validierung von Tau, Raureif, Nebel
und die Adsorption von Wasserdampf im Boden in
landwirtschaftlichen Ökosystemen mithilfe eines
Energiebilanzmodells, stabilen Isotopen des Wassers und
Lysimeterdaten (460817082)},
pid = {G:(DE-HGF)POF4-2173 / G:(GEPRIS)460817082},
typ = {PUB:(DE-HGF)16},
UT = {WOS:001574837500001},
doi = {10.1029/2024RG000866},
url = {https://juser.fz-juelich.de/record/1046458},
}