Arpita Patel , James Halgren , Zach Wills , Nels Frazier , Benjamin Lee , Joshua Cunningham , Jordan Laser , Mohammadsepehr Karimiziarani , Trupesh Patel , Giovanni Romero , Matthew Denno , Sam Lamont , Iman Maghami , Hari Teja Jajula , M. Shahabul Alam , Sifan A. Koriche , Manjila Singh , Nia Minor , Bhavya Duvvuri , Savalan Naser Neisary , Daniel P. Ames
{"title":"NextGen In A Box (NGIAB): NextGen框架的开源容器化,可实现社区驱动的水文建模","authors":"Arpita Patel , James Halgren , Zach Wills , Nels Frazier , Benjamin Lee , Joshua Cunningham , Jordan Laser , Mohammadsepehr Karimiziarani , Trupesh Patel , Giovanni Romero , Matthew Denno , Sam Lamont , Iman Maghami , Hari Teja Jajula , M. Shahabul Alam , Sifan A. Koriche , Manjila Singh , Nia Minor , Bhavya Duvvuri , Savalan Naser Neisary , Daniel P. Ames","doi":"10.1016/j.envsoft.2025.106666","DOIUrl":null,"url":null,"abstract":"<div><div>The NextGen Water Resources Modeling Framework (NextGen) greatly increases the flexibility and interoperability of hydrologic modeling workflows. However, deploying NextGen models remains challenging due to a complex installation process. To address this, we developed NextGen In A Box (NGIAB), an all-in-one distribution of the NextGen framework that simplifies deployment across environments using Docker and Singularity containers. NGIAB comes pre-configured with most components expected in version 4.0 of the National Water Model, which will use the NextGen framework. Additionally, NGIAB utilizes a cloud-based continuous integration/continuous deployment pipeline to automate releases. Through its ease of access and robust suite of included utilities, NGIAB promotes community engagement in hydrologic modeling and facilitates research-to-operation (R2O) pathways. In this work, we present the designs and technologies that enable these outcomes, along with studies and performance benchmarks that demonstrate NGIAB's applicability.</div></div>","PeriodicalId":310,"journal":{"name":"Environmental Modelling & Software","volume":"193 ","pages":"Article 106666"},"PeriodicalIF":4.6000,"publicationDate":"2025-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"NextGen In A Box (NGIAB): Open-Source containerization of the NextGen framework to enable community-driven hydrology modeling\",\"authors\":\"Arpita Patel , James Halgren , Zach Wills , Nels Frazier , Benjamin Lee , Joshua Cunningham , Jordan Laser , Mohammadsepehr Karimiziarani , Trupesh Patel , Giovanni Romero , Matthew Denno , Sam Lamont , Iman Maghami , Hari Teja Jajula , M. Shahabul Alam , Sifan A. Koriche , Manjila Singh , Nia Minor , Bhavya Duvvuri , Savalan Naser Neisary , Daniel P. Ames\",\"doi\":\"10.1016/j.envsoft.2025.106666\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><div>The NextGen Water Resources Modeling Framework (NextGen) greatly increases the flexibility and interoperability of hydrologic modeling workflows. However, deploying NextGen models remains challenging due to a complex installation process. To address this, we developed NextGen In A Box (NGIAB), an all-in-one distribution of the NextGen framework that simplifies deployment across environments using Docker and Singularity containers. NGIAB comes pre-configured with most components expected in version 4.0 of the National Water Model, which will use the NextGen framework. Additionally, NGIAB utilizes a cloud-based continuous integration/continuous deployment pipeline to automate releases. Through its ease of access and robust suite of included utilities, NGIAB promotes community engagement in hydrologic modeling and facilitates research-to-operation (R2O) pathways. In this work, we present the designs and technologies that enable these outcomes, along with studies and performance benchmarks that demonstrate NGIAB's applicability.</div></div>\",\"PeriodicalId\":310,\"journal\":{\"name\":\"Environmental Modelling & Software\",\"volume\":\"193 \",\"pages\":\"Article 106666\"},\"PeriodicalIF\":4.6000,\"publicationDate\":\"2025-09-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Environmental Modelling & Software\",\"FirstCategoryId\":\"93\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S1364815225003500\",\"RegionNum\":2,\"RegionCategory\":\"环境科学与生态学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Environmental Modelling & Software","FirstCategoryId":"93","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S1364815225003500","RegionNum":2,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS","Score":null,"Total":0}
引用次数: 0
摘要
NextGen水资源建模框架(NextGen)极大地提高了水文建模工作流程的灵活性和互操作性。然而,由于安装过程复杂,部署下一代模型仍然具有挑战性。为了解决这个问题,我们开发了NextGen In A Box (NGIAB),这是一个NextGen框架的一体化发行版,使用Docker和Singularity容器简化了跨环境的部署。NGIAB预先配置了国家水模型4.0版本中的大多数组件,该版本将使用NextGen框架。此外,NGIAB利用基于云的持续集成/持续部署管道来自动化发布。通过其易于访问和强大的配套设施,NGIAB促进了社区参与水文建模,并促进了从研究到运营(R2O)的途径。在这项工作中,我们提出了实现这些结果的设计和技术,以及证明NGIAB适用性的研究和性能基准。
NextGen In A Box (NGIAB): Open-Source containerization of the NextGen framework to enable community-driven hydrology modeling
The NextGen Water Resources Modeling Framework (NextGen) greatly increases the flexibility and interoperability of hydrologic modeling workflows. However, deploying NextGen models remains challenging due to a complex installation process. To address this, we developed NextGen In A Box (NGIAB), an all-in-one distribution of the NextGen framework that simplifies deployment across environments using Docker and Singularity containers. NGIAB comes pre-configured with most components expected in version 4.0 of the National Water Model, which will use the NextGen framework. Additionally, NGIAB utilizes a cloud-based continuous integration/continuous deployment pipeline to automate releases. Through its ease of access and robust suite of included utilities, NGIAB promotes community engagement in hydrologic modeling and facilitates research-to-operation (R2O) pathways. In this work, we present the designs and technologies that enable these outcomes, along with studies and performance benchmarks that demonstrate NGIAB's applicability.
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.