{"title":"On the future of hydroecological models of everywhere","authors":"Keith Beven","doi":"10.1016/j.envsoft.2025.106431","DOIUrl":null,"url":null,"abstract":"<div><div>This paper addresses the potential for hydroecological models of everywhere to be used, in conjunction with interaction with local stakeholders, as a way of learning about places as well as being used as predictive tools. The importance of facilitating stakeholder involvement in defining assumptions and uncertainties, and in model evaluation is stressed. The potential for using data science and real-time updating in using the internet of things to contribute to a models of everywhere framework is also discussed.</div></div>","PeriodicalId":310,"journal":{"name":"Environmental Modelling & Software","volume":"188 ","pages":"Article 106431"},"PeriodicalIF":4.8000,"publicationDate":"2025-03-13","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/S136481522500115X","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
Abstract
This paper addresses the potential for hydroecological models of everywhere to be used, in conjunction with interaction with local stakeholders, as a way of learning about places as well as being used as predictive tools. The importance of facilitating stakeholder involvement in defining assumptions and uncertainties, and in model evaluation is stressed. The potential for using data science and real-time updating in using the internet of things to contribute to a models of everywhere framework is also discussed.
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.