rSHUD建模工具文章Geoscientific Model Development

SHUD模型描述文章初稿撰写于2018至2023年，2023年6月投出，2024年1月正式发表。

初印本文章以及积累了700余次阅读量，预计未来阅读量会继续提升。

Web page: https://gmd.copernicus.org/articles/17/497/2024/gmd-17-497-2024.html

PDF link: https://gmd.copernicus.org/articles/17/497/2024/gmd-17-497-2024.pdf

文章摘要：

Hydrological modeling is a crucial component in hydrology research, particularly for projecting future scenarios. However, achieving reproducibility and automation in distributed hydrological modeling research for modeling, simulation, and analysis is challenging. This paper introduces rSHUD v2.0, an innovative, open-source toolkit developed in the R environment to enhance the deployment and analysis of the Simulator for Hydrologic Unstructured Domains (SHUD). The SHUD is an integrated surface–subsurface hydrological model that employs a finite-volume method to simulate hydrological processes at various scales. The rSHUD toolkit includes pre- and post-processing tools, facilitating reproducibility and automation in hydrological modeling. The utility of rSHUD is demonstrated through case studies of the Shale Hills Critical Zone Observatory in the USA and the Waerma watershed in China. The rSHUD toolkit’s ability to quickly and automatically deploy models while ensuring reproducibility has facilitated the implementation of the Global Hydrological Data Cloud (https://ghdc.ac.cn), a platform for automatic data processing and model deployment. This work represents a significant advancement in hydrological modeling, with implications for future scenario projections and spatial analysis.

摘要翻译：

水文建模是水文研究中的一个关键部分，特别是对于将来的情景预测。然而，要在分布式水文建模研究中实现可重复性和自动化的建模、模拟和分析是具有挑战性的。本文介绍了rSHUD v2.0，这是一个在R环境中开发的创新的开源工具包，旨在增强对湖泊水文结构域模拟器(SHUD)的部署和分析。SHUD是一个集成的地表-地下水水文模型，使用有限体积方法来模拟各种规模的水文过程。 rSHUD工具包包含预处理和后处理工具，有助于实现水文建模的可重复性和自动化。 通过在美国的Shale Hill CZO观测站和中国哇尔玛流域的案例研究中展示了rSHUD的实用性。rSHUD工具包能够快速且自动地部署模型同时确保可重复性，这已经促进了全球水文数据云(https://ghdc.ac.cn)的实现，这是一个用于自动数据处理和模型部署的平台。这项工作代表了水文建模的重大进步，对未来的情景预测和空间分析有重要含义。