(HS 8) Comparative Evaluation of Data Consistency: Conventional vs. Server-side Methods for Exposing Large Extent Spatial Datasets to Models

This HydroShare resource aims to assess data consistency among two server-side methods (GeoServer and THREDDS Data Server) and the conventional data distribution approach (manually collecting and sharing at file-level). The evaluation spans three different-sized watersheds: Coweeta subbasin18, Scotts Level Branch, and Spout Run with 10, 30, and 60 m DEM resolutions, respectively. The workflow for resulting nine case studies, derived from the combination of three methods and three watersheds, are presented in one HydroShare resource (HS 7), yielding a total of nine RHESSys daily streamflow output files. Within this resource, we include these nine output files and provide three Jupyter notebooks for conducting evaluations. Each notebook is dedicated to a specific watershed and focuses on the three methods, facilitating a comprehensive analysis of data consistency.本HydroShare资源旨在评估两种服务端方法（GeoServer与THREDDS Data Server）与传统数据分发方式（手动收集并按文件级开展共享）之间的数据一致性。本次评估覆盖三个不同规模的流域：Coweeta子流域18、Scotts Level Branch以及Spout Run，其对应的数字高程模型 (Digital Elevation Model) 分辨率分别为10、30与60米。由三种方法与三个流域组合生成的共计9个案例研究的工作流程，已在单个HydroShare资源（HS 7）中进行了呈现，最终产出总计9个RHESSys日径流输出文件。 本资源包含上述9个输出文件，并提供3个用于开展评估的Jupyter笔记本。每个笔记本对应一个特定流域，聚焦于三种方法的对比分析，以助力实现数据一致性的全面评估。