Journal Article

FZJ-2025-03811

http://join2-wiki.gsi.de/foswiki/pub/Main/Artwork/join2_logo100x88.png Recent Advances in Tracer‐Aided Mixing Modeling of Water in the Critical Zone

Popp, A. L. (Corresponding author) ; Beria, H. (Corresponding author) ; Sprenger, M. ; Ala-Aho, P. ; Coenders-Gerrits, M. ; Groh, J.FZJ* ; Klaus, J. ; Knapp, J. L. A. ; Koren, G. ; Bakiri, I. ; Xu Fei, E. ; Gillon, M. ; Harman, C. ; Hissler, C. ; Holmes, T. ; Jeelani, G. ; Kalvans, A. ; Montemagno, A. ; Zeray Öztürk, E. ; Žvab Rožič, P. ; Stadnyk, T. ; Stumpp, C. ; Valiente, N. ; von Freyberg, J. ; Vreča, P. ; Zuecco, G. ; van Meerveld, I. ; Penna, D. ; Kirchner, J. W.

2025
Wiley Hoboken, NJ

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Please use a persistent id in citations: doi:10.1029/2024RG000866  doi:10.34734/FZJ-2025-03811

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.

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Contributing Institute(s):

1. Agrosphäre (IBG-3)

Research Program(s):

1. 2173 - Agro-biogeosystems: controls, feedbacks and impact (POF4-217) (POF4-217)
2. 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) (460817082)

Appears in the scientific report 2025

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Database coverage:
; ; ; Clarivate Analytics Master Journal List ; Current Contents - Physical, Chemical and Earth Sciences ; DEAL Wiley ; Ebsco Academic Search ; Essential Science Indicators ; IF >= 25 ; JCR ; SCOPUS ; Science Citation Index Expanded ; Web of Science Core Collection

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