Katharina Dost , Kohji Muraoka , Anne-Gaelle Ausseil , Rubianca Benavidez , Brendon Blue , Nic Conland , Chris Daughney , Annette Semadeni-Davies , Linh Hoang , Anna Hooper , Theodore Alfred Kpodonu , Tapuwa Marapara , Richard McDowell , Trung Nguyen , Dang Anh Nguyet , Ned Norton , Deniz Özkundakci , Lisa Pearson , James Rolinson , Ra Smith , Jörg Wicker
{"title":"Freshwater modeling in Aotearoa New Zealand: Current practice and future directions","authors":"Katharina Dost , Kohji Muraoka , Anne-Gaelle Ausseil , Rubianca Benavidez , Brendon Blue , Nic Conland , Chris Daughney , Annette Semadeni-Davies , Linh Hoang , Anna Hooper , Theodore Alfred Kpodonu , Tapuwa Marapara , Richard McDowell , Trung Nguyen , Dang Anh Nguyet , Ned Norton , Deniz Özkundakci , Lisa Pearson , James Rolinson , Ra Smith , Jörg Wicker","doi":"10.1016/j.envsoft.2025.106820","DOIUrl":null,"url":null,"abstract":"<div><div>Freshwater modeling is vital for addressing environmental and societal challenges. In two workshops preceding this article, we revealed issues in current modeling practices in New Zealand, with a focus on catchment-level water quality modelling. Predominant were low trust in models, lack of transparency, and models unfit for purpose. This article uses a root-cause analysis to explore these issues, identify causes, and propose solutions. We find that current best practices and research are a good foundation but insufficient to fulfill our freshwater research and management needs. We advocate for long-term national strategies with centralized funding, standardized documentation, data, models, evaluation techniques, and communication methods, along with a centralized open-access platform for collaboration. Our vision is to streamline modeling projects, enhance the accessibility and reliability of models, and foster more effective decision-making processes for the sustainable management of freshwater ecosystems.</div></div>","PeriodicalId":310,"journal":{"name":"Environmental Modelling & Software","volume":"197 ","pages":"Article 106820"},"PeriodicalIF":5.2000,"publicationDate":"2026-02-01","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/S1364815225005043","RegionNum":2,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2025/12/5 0:00:00","PubModel":"Epub","JCR":"Q1","JCRName":"COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS","Score":null,"Total":0}
引用次数: 0
Abstract
Freshwater modeling is vital for addressing environmental and societal challenges. In two workshops preceding this article, we revealed issues in current modeling practices in New Zealand, with a focus on catchment-level water quality modelling. Predominant were low trust in models, lack of transparency, and models unfit for purpose. This article uses a root-cause analysis to explore these issues, identify causes, and propose solutions. We find that current best practices and research are a good foundation but insufficient to fulfill our freshwater research and management needs. We advocate for long-term national strategies with centralized funding, standardized documentation, data, models, evaluation techniques, and communication methods, along with a centralized open-access platform for collaboration. Our vision is to streamline modeling projects, enhance the accessibility and reliability of models, and foster more effective decision-making processes for the sustainable management of freshwater ecosystems.
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.