Data and scripts associated with “Sequential Precipitation Input Tagging (SPIT) to Estimate Water Transit Times and Hydrologic Tracer Dynamics within Water-Tagging Enabled Hydrologic Models” (v3)

Dataset · Wed Jan 01 04:00:00 EST 2025

DOI:https://doi.org/10.15485/2448101· OSTI ID:2448101

Butler, Zachariah ^[1]; Good, Stephen ^[1]; Hu, Huancui ^[2]; Forbes, Brieanne ^[2]; Powers-McCormack, Beck ^[2]; Chen, Xingyuan ^[2]; Dugger, Aubrey ^[3]

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1. Oregon State University
2. Pacific Northwest National Laboratory (PNNL)
3. National Center for Atmospheric Research (NCAR)

This data package is associated with the publication “Sequential Precipitation Input Tagging (SPIT) to Estimate Water Transit Times and Hydrologic Tracer Dynamics within Water-Tagging Enabled Hydrologic Models” submitted to Journal of Advances in Modeling Earth Systems (Butler et al. 2025). This study developed the Sequential Precipitation Input Tagging (SPIT) framework to tag input precipitation and estimate water transit times and hydrologic tracers. SPIT tags all precipitation events at regular intervals over an extended period (monthly tags over seven years) in a hydrologic model from 2016-2022. SPIT is applied at six National Ecological Observatory Network (NEON) sites across the continental United States to calculate transit time distributions (TTD) and derive from these mean transit times (MTT), fractions of young water (Fyw), and hydrologic tracer concentrations in stream water (δ18O) within a water-tagging enabled version of the Weather Research and Forecast (WT-WRF-Hydro) model with national water model (NWM) configurations. We go on to validate WT-WRF-Hydro estimates against Butler et al. (2023), who analyzed the same NEON sites using stable water isotope data to estimate water transit times. This new tracking method provides a detailed picture of water movement and helps improve predictions about water availability in the future.This data package was originally published in January 2025. It was updated May 2025 (v2; new and modified files) and October 2025 (v3; new and modified files). File and folder names were not revised to indicate changes. See the change history section in the readme for more details.This data package contains the data and scripts used to develop the SPIT framework WT-WRF-Hydro (Water Tagging Weather Research and Forecasting Hydrologic) model and is associated with the following GitHub repository: https://github.com/zbutler33/SPIT-Framework.This data package contains five parent folders: (1) “Manipulated_outputs”, (2) “Metadata”, (3) “Observed”, (4) “Outputs”, and (5) “Scripts”. Each of these parent folders contains additional subfolders and files. Please see the FLMD (“v*_Butler_2024_WT_WRF_Hydro_flmd.csv”) for a list of all the files contained in this data package and descriptions for each. See the data dictionary (“v*_Butler_2024_WT_WRF_Hydro_dd.csv”) for definitions and units of all of the tabular (files ending in “.csv” and ".tsv") column headers.

• Research Organization: River Corridor Hydro-biogeochemistry from Molecular to Multi-Basin Scales SFA
• Sponsoring Organization: U.S. DOE > Office of Science > Biological and Environmental Research (BER)
• DOE Contract Number: AC02-05CH11231
• OSTI ID: 2448101
• Country of Publication: United States
• Language: English

Related Subjects

54 ENVIRONMENTAL SCIENCES
Daily Groundwater
Daily Precipitation
Date
EARTH SCIENCE > ATMOSPHERE > PRECIPITATION > PRECIPITATION AMOUNT
EARTH SCIENCE > TERRESTRIAL HYDROSPHERE > GROUND WATER > GROUNDWATER CHEMISTRY
ESS-DIVE CSV File Formatting Guidelines Reporting Format
ESS-DIVE File Level Metadata Reporting Format
ESS-DIVE Model Data Archiving Guidelines
Fraction young water
Groundwater
Hydrologic modeling
Mean transit time
Model
NEON Site Name
Observation
Precipitation
Stable water isotopes
Threshold
Total Streamflow
Tracer
Transit time distribution
WT-WRF-Hydro
Water
Water tracer weather research and forecasting model
Water transit times
Weighted daily precipitation