pytRIBS: An open, modular, and reproducible python-based framework for distributed hydrologic modeling

IF 4.6 2区 环境科学与生态学 Q1 COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS Environmental Modelling & Software Pub Date : 2025-04-01 Epub Date: 2025-03-19 DOI:10.1016/j.envsoft.2025.106432
L. Wren Raming , Enrique R. Vivoni , C. Josh Cederstrom , M. Akram Hossain , Jose A. Becerra
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Abstract

Distributed hydrologic models (DHM) are essential tools for understanding how and where water moves through a landscape. However, DHMs can be time-consuming and challenging to setup, limiting their application. Here, we present pytRIBS, a tool that addresses these challenges for the TIN-based Real-time Integrated Basin Simulator (tRIBS). pytRIBS is an open-source Python package with an object-oriented design intended to initialize, execute, and analyze tRIBS simulations. This package mirrors a tRIBS workflow with five preprocessing classes (Project, Mesh, Soil, Land, and Met) that can be used together or separately to obtain and convert data into a tRIBS format. Finally, the Results class manages outputs, provides analytical tools, and visualizes results. We illustrate these capabilities with an example case study of the Newman Canyon watershed, AZ, USA.
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pytRIBS:一个开放的、模块化的、可重复的基于python的框架,用于分布式水文建模
分布式水文模型(DHM)是理解水如何以及在何处流过景观的重要工具。然而,dhm的设置非常耗时且具有挑战性,从而限制了它们的应用。在这里,我们提出pytRIBS,一个解决这些挑战的工具,为基于tin的实时集成盆地模拟器(tRIBS)。pytRIBS是一个开源Python包,具有面向对象的设计,用于初始化、执行和分析tRIBS模拟。这个包反映了一个tRIBS工作流与五个预处理类(项目,网格,土壤,土地,和Met),可以一起或单独使用,以获得数据并将其转换为tRIBS格式。最后,Results类管理输出,提供分析工具,并可视化结果。我们以美国亚利桑那州纽曼峡谷流域的一个案例研究来说明这些能力。
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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.
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