CAMELSH/ERA5-Land (2): A Large-Sample Hourly Hydrometeorological Dataset and Attributes at Watershed-Scale for Contiguous United States
收藏资源简介：
CAMELSH: ERA5-Land Hourly Forcing Dataset is an extension of the CAMELSH (Catchment Attributes and Hourly HydroMeteorology for Large-Sample Studies) framework, representing the first hourly large-sample hydrometeorological dataset developed for the contiguous United States (CONUS). This dataset comprises hourly meteorological variables derived from the ERA5-Land reanalysis product, aggregated across 9,008 hydrologic basins. The current version spans 46 years (1980–2025) and provides hourly data suitable for a wide range of hydrological and climatological applications, including long-term trend analyses, process-based modeling, model evaluation, and climate sensitivity assessments. The dataset includes 11 core atmospheric and land-surface variables, such as dewpoint temperature, 2-meter air temperature, soil moisture (four layers), net solar and thermal radiation, 10-meter wind components, surface pressure, total precipitation, snow water equivalent, and potential evaporation. These variables enable the derivation of key hydroclimatic indices related to precipitation intensity and seasonality, evaporative regimes, and snow dynamics. Meteorological variables were sourced from the ERA5-Land dataset via Google Earth Engine, with hourly means computed for all grid cells either fully contained within or intersecting each watershed boundary. The dataset is fully accompanied by spatial and temporal metadata and adheres to standardized units, facilitating seamless integration with CAMELS-based catchment attributes. In addition to the main NetCDF dataset for each year, we also provide the CAMELSH_shapefile.7z, a zipped shapefile that defines the boundaries of the 9,008 hydrologic basins included in CAMELSH. This shapefile enables spatial referencing and integration with other geospatial datasets and supports mapping, visualization, and basin-level analyses. Due to the 50 GB storage limitation per link on Zenodo, the dataset is divided into three separate repositories. Each repository in version 1 contains data for a specific time period: (1) 1980–1995 (https://doi.org/10.5281/zenodo.15264376), (2) 1996–2010 (https://doi.org/10.5281/zenodo.15264814), and (3) 2011–2025 (https://doi.org/10.5281/zenodo.15264840). Each repository in version 2 contains data based on watershed ID (1980 to 2025) (Refer to the CAMELSH_shapefile.7z): (1) 0-3000 (https://doi.org/10.5281/zenodo.15738860), (2) 3001-6000 (https://doi.org/10.5281/zenodo.15738914), and (3) 6001-9007 (https://doi.org/10.5281/zenodo.15738931). This dataset is developed and maintained by the HYDROWIT Lab at the University of Michigan. For inquiries or technical support, please contact Taeho Kim (theokim@umich.edu). The dataset is distributed under the Creative Commons Attribution 4.0 International (CC BY 4.0) license. For further methodological details and background, users are encouraged to consult the following references: [1] Tran, V. N., Kim, T., Xu, D., Nguyen, T., & Ivanov, V. (2025). CAMELSH: A Large-Sample Hourly Hydrometeorological Dataset and Attributes at Watershed-Scale for CONUS. Scientific Data [In review]. [2] Tran, V. N. (2025). CAMELSH: A Large-Sample Hourly Hydrometeorological Dataset and Attributes at Watershed-Scale for Contiguous United States [Data set]. Zenodo. https://doi.org/10.5281/zenodo.15066778
CAMELSH：ERA5-Land逐时强迫数据集是CAMELSH（Catchment Attributes and Hourly HydroMeteorology for Large-Sample Studies，大样本研究用流域属性与逐时水文气象数据集）框架的扩展，亦是首个为美国本土（Contiguous United States, CONUS）开发的逐时大样本水文气象数据集。本数据集包含源自ERA5-Land再分析产品的逐时气象变量，聚合了全美9008个水文流域的相关数据。 当前版本涵盖1980年至2025年共46年的时长，提供的逐时数据可广泛应用于各类水文与气候学研究场景，包括长期趋势分析、基于过程的机理建模、模型验证与评估以及气候敏感性评估。数据集包含11项核心大气与陆面变量，具体包括露点温度、2米高度气温、四层土壤湿度、净太阳辐射与净热辐射、10米高度风分量、地表气压、总降水量、雪水当量以及潜在蒸散发。上述变量可用于推导与降水强度及季节性、蒸散发格局以及积雪动态相关的关键水文气候指数。 本数据集的气象变量源自谷歌地球引擎（Google Earth Engine）平台上的ERA5-Land数据集，针对每个流域边界内完全覆盖或与之相交的所有网格单元计算逐时平均值。该数据集配套完整的时空元数据，且采用标准化单位，可与基于CAMELS的流域属性实现无缝集成。 除了对应每年的主网络通用数据格式（Network Common Data Form, NetCDF）数据集外，我们还提供了CAMELSH_shapefile.7z——一个压缩的矢量shapefile文件，用于定义CAMELSH所包含的9008个水文流域的边界。该shapefile可实现空间参考与其他地理空间数据集的集成，并支持制图、可视化以及流域尺度分析。 由于Zenodo平台单个链接的存储限制为50GB，本数据集被划分为三个独立的存储库。版本1的每个存储库包含特定时间段的数据：(1) 1980–1995（https://doi.org/10.5281/zenodo.15264376），(2) 1996–2010（https://doi.org/10.5281/zenodo.15264814），(3) 2011–2025（https://doi.org/10.5281/zenodo.15264840）。版本2的每个存储库基于流域ID划分（覆盖1980至2025年，详见CAMELSH_shapefile.7z）：(1) 0-3000（https://doi.org/10.5281/zenodo.15738860），(2) 3001-6000（https://doi.org/10.5281/zenodo.15738914），(3) 6001-9007（https://doi.org/10.5281/zenodo.15738931）。 本数据集由密歇根大学HYDROWIT实验室开发并维护。如有咨询或技术支持需求，请联系Taeho Kim（邮箱：theokim@umich.edu）。本数据集采用知识共享署名4.0国际许可（Creative Commons Attribution 4.0 International, CC BY 4.0）协议进行分发。 如需了解更多方法学细节与背景信息，建议用户参考以下文献： [1] Tran, V. N.、Kim, T.、Xu, D.、Nguyen, T. 与 Ivanov, V. (2025). 《CAMELSH：面向美国本土的大样本逐时水文气象数据集与流域尺度属性》。《科学数据》[已投稿待审]。 [2] Tran, V. N. (2025). 《CAMELSH：面向美国本土的大样本逐时水文气象数据集与流域尺度属性》[数据集]。Zenodo。https://doi.org/10.5281/zenodo.15066778
