促进开放数据和开放模型与CyberWater框架中的通用参数输入文件生成器的集成

IF 5.2 2区 环境科学与生态学 Q1 COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS Environmental Modelling & Software Pub Date : 2025-02-01 Epub Date: 2024-11-15 DOI:10.1016/j.envsoft.2024.106266
Daniel Luna , Ranran Chen , Ahmed Sheba , Ryan Young , Yao Liang , Xu Liang
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引用次数: 0

摘要

有效的数据和模型整合对于探索水文学和其他地球科学的科学问题至关重要。数据和模型日益增加的异质性和复杂性给集成带来了挑战。CyberWater通过开放数据和开放建模框架解决了这些问题。它以基于gui的工作流为特色,包括用于访问各种在线数据源的数据代理和用于无缝、无代码模型集成的通用模型代理工具包。本研究介绍了静态参数代理套件,这是一个新颖的工具包,旨在简化各种模型所需参数文件的创建和组织。该工具包使用户能够根据需要高效、自动地生成文件,最大限度地减少了耗时且容易出错的复杂参数文件的手工准备工作。它进一步记录每个模型模拟中对参数值的所有更改,确保可重复的端到端过程。它与GRASS GIS等地理信息系统(GIS)引擎无缝连接,并已在VIC、DHSVM和CASA-CNP等模型上进行了测试。
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Facilitating open data and open model integration with generic parameter input file generators in the CyberWater framework
Effective data and model integration is crucial for exploring scientific questions in hydrology and other geosciences. The increasing heterogeneity and complexity of data and models pose integration challenges. CyberWater addresses these with an open-data and open-modeling framework. Featuring GUI-based workflows, it includes Data Agents for accessing diverse online data sources and a Generic Model Agent Toolkit for seamless, code-free model integration. This study introduces the Static Parameter Agent suite, a novel toolkit designed to streamline the creation and organization of parameter files required for various models. The toolkit enables users to efficiently and automatically generate files on demand, minimizing the time-consuming and error-prone manual preparation of complex parameter files. It further logs all changes to parameter values across each model simulation, ensuring a reproducible end-to-end process. It connects seamlessly with Geographic Information System (GIS) engines like GRASS GIS and has been tested on models including VIC, DHSVM, and CASA-CNP.
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来源期刊
Environmental Modelling & Software
Environmental Modelling & Software 工程技术-工程:环境
CiteScore
9.30
自引率
8.20%
发文量
241
审稿时长
60 days
期刊介绍: Environmental Modelling & Software publishes contributions, in the form of research articles, reviews and short communications, on recent advances in environmental modelling and/or software. The aim is to improve our capacity to represent, understand, predict or manage the behaviour of environmental systems at all practical scales, and to communicate those improvements to a wide scientific and professional audience.
期刊最新文献
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