Sequential Precipitation Input Tagging (SPIT) to Estimate Water Transit Times and Hydrologic Tracer Dynamics within Water-Tagging Enabled Hydrologic Models

Determining the age distribution of water exiting a catchment is important for understanding groundwater storage and mixing. New water-tagging capabilities within models track precipitation events as they move through simulated storages, yet forward m

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Publication Details

Published
2025-09-25
DOI
https://doi.org/10.22541/au.175883065.54032160/v1
Primary Topic
Hydrology and Watershed Management Studies
Type
article
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article

Sequential Precipitation Input Tagging (SPIT) to Estimate Water Transit Times and Hydrologic Tracer Dynamics within Water-Tagging Enabled Hydrologic Models

Huancui Hu, Stephen P. Good, Zachariah Butler, Xingyuan Chen et al.
Hydrology and Watershed Management Studies
article

Sequential Precipitation Input Tagging (SPIT) to Estimate Water Transit Times and Hydrologic Tracer Dynamics within Water-Tagging Enabled Hydrologic Models

Huancui Hu, Stephen P. Good, Zachariah Butler, Xingyuan Chen, A. L. Dugger
article en

Abstract

Determining the age distribution of water exiting a catchment is important for understanding groundwater storage and mixing. New water-tagging capabilities within models track precipitation events as they move through simulated storages, yet forward m

NSF National Center for Atmospheric Research (US), Oregon State University (US), Pacific Northwest National Laboratory (US)
Openalex Percentile: Top 76%
Hydrology and Watershed Management Studies
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