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” (v2)

NOTE: The "In_Review" zip folder is undergoing ESS-DIVE review and should not be used. Once it is approved, it will be available as v3 of the data package for regular use and metadata will be updated to reflect changes. 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. 2024). 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). 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 (“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 (“Butler_2024_WT_WRF_Hydro_dd.csv”) for definitions and units of all of the tabular (files ending in “.csv” and ".tsv") column headers.

注意：「In_Review」压缩文件夹正在接受ESS-DIVE审核，请勿使用。待审核通过后，它将作为该数据包的v3版本正式开放使用，元数据也将同步更新以反映相关变更。本数据包关联的已投稿论文为《Sequential Precipitation Input Tagging (SPIT) to Estimate Water Transit Times and Hydrologic Tracer Dynamics within Water-Tagging Enabled Hydrologic Models》，已提交至《Journal of Advances in Modeling Earth Systems》（Butler等人，2024）。本研究开发了序列降水输入标记（Sequential Precipitation Input Tagging，SPIT）框架，用于对输入降水进行标记，并估算水体滞留时间与水文示踪剂动态变化。SPIT会针对2016-2022年的水文模型，以固定时间间隔（7年周期内采用月度标记频率）对所有降水事件进行标记。研究将SPIT应用于美国本土范围内的6个国家生态观测站网络（National Ecological Observatory Network，NEON）站点，以计算滞留时间分布（Transit Time Distributions，TTD），并由此推导平均滞留时间（Mean Transit Times，MTT）、年轻水占比（Fractions of young water，Fyw），以及溪流水中的水文示踪剂浓度（δ¹⁸O），相关计算基于搭载了全国水文模型（National Water Model，NWM）配置的水标记版天气研究与预报水文模型（Water-Tagging Enabled Weather Research and Forecast，WT-WRF-Hydro）。随后，本研究以Butler等人（2023）的研究结果为基准对WT-WRF-Hydro的估算结果进行验证，后者利用稳定水同位素数据分析了相同的NEON站点，以估算水体滞留时间。这种新型追踪方法能够清晰呈现水体运移过程，有助于提升未来水资源可利用量的预测精度。本数据包最初于2025年1月发布，并于2025年5月更新至v2版本（新增并修改了部分文件）。未通过文件名与文件夹名变更来标识此次更新，详细变更信息请参阅自述文件中的变更历史章节。本数据包包含用于开发SPIT框架与WT-WRF-Hydro（水标记版天气研究与预报水文模型）模型的数据与脚本，关联的GitHub仓库地址为：https://github.com/zbutler33/SPIT-Framework。本数据包包含5个父级文件夹：(1) 「Manipulated_outputs」，(2) 「Metadata」，(3) 「Observed」，(4) 「Outputs」，以及(5) 「Scripts」。每个父级文件夹均包含额外的子文件夹与文件。请参阅FLMD文件（「Butler_2024_WT_WRF_Hydro_flmd.csv」）以获取本数据包包含的所有文件列表及各文件的描述信息。请参阅数据字典文件（「Butler_2024_WT_WRF_Hydro_dd.csv」）以了解所有表格型文件（后缀为.csv与.tsv的文件）的列标题定义与单位。