Recent Upper Colorado River Streamflow Declines Driven by Loss of Spring Precipitation

The dataset accompanying the manuscript titled "Recent Upper Colorado River Streamflow Declines Driven by Loss of Spring Precipitation" provides comprehensive information on streamflow patterns in the Colorado River since 2000. The dataset is needed to run the analysis available on GitHub available here. This is version 2, please use this version for the most up-to-date results. Please read the accompanying README (available in the README.md file) for individual file descriptions and file nesting strategy that should be employed to easily reproduce this analysis. The dataset covers a range of variables related to streamflow and precipitation, including but not limited to discharge measurements, seasonal variations, and relevant meteorological data. The primary focus of the dataset is to elucidate the observed streamflow deficits in the Colorado River, attributing these changes to decreased spring precipitation. Key features of the dataset include: Time Coverage: The dataset spans a specified time range that aligns with the investigation into recent streamflow deficits in the Colorado River between 1964 and 2022. Spatial Scope: It includes data from relevant monitoring stations along within the Upper Colorado River, but focusing in the hydrologically vital headwater regions, providing a spatially distributed perspective. Variables: The dataset encompasses a variety of variables essential for understanding streamflow dynamics, with a particular emphasis on the impact of reduced spring precipitation. Researchers and stakeholders interested in hydrological patterns, climate-driven changes, and water resource management in the Colorado River Basin will find this dataset valuable. It serves as a foundational resource for reproducibility, further analysis, and collaboration within the scientific community. The dataset is deposited on Zenodo to facilitate open access, sharing, and citation for broader research endeavors.

本数据集配套于题为《近期科罗拉多河上游径流量（streamflow）下降由春季降水减少驱动》的学术手稿，全面涵盖了2000年以来科罗拉多河的径流量格局相关信息。运行该手稿配套的GitHub开源分析代码需使用本数据集，当前为版本2，若需获取最新研究结果请使用此版本。请参阅README.md文件中的配套说明文档，以了解各文件的具体描述及文件嵌套规则，从而轻松复现本次分析流程。

本数据集涵盖与径流量及降水相关的多类变量，包括但不限于流量实测值、季节变化特征及相关气象数据。本数据集的核心研究目标为阐明科罗拉多河观测到的径流量亏损现象，并将此类径流变化归因于春季降水量的减少。

数据集的关键特征如下：
1. 时间覆盖范围：数据集的时间跨度为1964年至2022年，与本次针对科罗拉多河近期径流量亏损的研究范围完全匹配。
2. 空间覆盖范围：数据集包含科罗拉多河上游沿线相关监测站点的观测数据，重点聚焦水文意义关键的源头区域，提供分布式空间分析视角。
3. 变量构成：数据集包含多种理解径流量动态所需的核心变量，尤其着重于春季降水减少对径流量的影响机制。

对科罗拉多河流域水文格局、气候驱动变化及水资源管理感兴趣的研究人员与利益相关方，均可从本数据集获取极具价值的研究支撑。本数据集可作为科研领域内实现研究可复现性、开展后续分析及推动学术合作的基础资源。本数据集已存档于Zenodo平台，以促进开放获取、学术共享及为更广泛的研究活动提供规范引用支持。