{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,7,4]],"date-time":"2026-07-04T20:15:51Z","timestamp":1783196151576,"version":"3.54.6"},"reference-count":34,"publisher":"Elsevier BV","license":[{"start":{"date-parts":[[2026,8,1]],"date-time":"2026-08-01T00:00:00Z","timestamp":1785542400000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.elsevier.com\/tdm\/userlicense\/1.0\/"},{"start":{"date-parts":[[2026,8,1]],"date-time":"2026-08-01T00:00:00Z","timestamp":1785542400000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.elsevier.com\/legal\/tdmrep-license"},{"start":{"date-parts":[[2026,5,19]],"date-time":"2026-05-19T00:00:00Z","timestamp":1779148800000},"content-version":"vor","delay-in-days":0,"URL":"http:\/\/creativecommons.org\/licenses\/by-nc\/4.0\/"}],"funder":[{"DOI":"10.13039\/100000001","name":"National Science Foundation","doi-asserted-by":"publisher","award":["2118329"],"award-info":[{"award-number":["2118329"]}],"id":[{"id":"10.13039\/100000001","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/100000192","name":"NOAA","doi-asserted-by":"publisher","award":["NA22NWS4320003"],"award-info":[{"award-number":["NA22NWS4320003"]}],"id":[{"id":"10.13039\/100000192","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["elsevier.com","sciencedirect.com"],"crossmark-restriction":true},"short-container-title":["Environmental Modelling & Software"],"published-print":{"date-parts":[[2026,8]]},"DOI":"10.1016\/j.envsoft.2026.107031","type":"journal-article","created":{"date-parts":[[2026,5,14]],"date-time":"2026-05-14T11:52:37Z","timestamp":1778759557000},"page":"107031","update-policy":"https:\/\/doi.org\/10.1016\/elsevier_cm_policy","source":"Crossref","is-referenced-by-count":0,"special_numbering":"C","title":["A cloud-based JupyterHub platform for community research with the NextGen water resources modeling framework"],"prefix":"10.1016","volume":"203","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-0878-5861","authenticated-orcid":false,"given":"Ayman","family":"Nassar","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-1998-3479","authenticated-orcid":false,"given":"David G.","family":"Tarboton","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Furqan","family":"Baig","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Josh","family":"Cunningham","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Arpita","family":"Patel","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"James","family":"Halgren","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Benjamin","family":"Lee","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Homa","family":"Salehabadi","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Anthony M.","family":"Castronova","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Irene","family":"Garousi-Nejad","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"78","reference":[{"key":"10.1016\/j.envsoft.2026.107031_bib1","author":"Abernathey"},{"key":"10.1016\/j.envsoft.2026.107031_bib2","doi-asserted-by":"crossref","DOI":"10.1111\/1752-1688.70002","article-title":"Testing soil moisture performance measures in the conceptual-functional equivalent to the WRF-hydro national water model","volume":"61","author":"Araki","year":"2025","journal-title":"JAWRA J. Amer. Water Res. Assoc."},{"key":"10.1016\/j.envsoft.2026.107031_bib3","doi-asserted-by":"crossref","first-page":"105496","DOI":"10.1016\/j.envsoft.2022.105496","article-title":"Making modeling and software FAIR","volume":"156","author":"Barton","year":"2022","journal-title":"Environ. Model. Software"},{"key":"10.1016\/j.envsoft.2026.107031_bib4","doi-asserted-by":"crossref","DOI":"10.1016\/j.envsoft.2022.105471","article-title":"A case for object capabilities as the foundation of a distributed environmental model and simulation infrastructure","volume":"156","author":"Berg-Mohnicke","year":"2022","journal-title":"Environ. Model. Software"},{"key":"10.1016\/j.envsoft.2026.107031_bib5","doi-asserted-by":"crossref","DOI":"10.1016\/j.envsoft.2023.105726","article-title":"Generating a reference flow network with improved connectivity to support durable data integration and reproducibility in the coterminous US","volume":"165","author":"Blodgett","year":"2023","journal-title":"Environ. Model. Software"},{"key":"10.1016\/j.envsoft.2026.107031_bib6","doi-asserted-by":"crossref","first-page":"612","DOI":"10.1111\/gwat.13337","article-title":"Community cloud computing infrastructure to support equitable water research and education","volume":"61","author":"Castronova","year":"2023","journal-title":"Ground Water"},{"key":"10.1016\/j.envsoft.2026.107031_bib7","unstructured":"Chastang, J., Corbin, N., Davis, E., Espinoza, B., Vance, T., 2022. Unidata science gateway reimagined: unifying access to educational and research resources. https:\/\/doi.org\/10.5281\/zenodo.7278657."},{"key":"10.1016\/j.envsoft.2026.107031_bib8","doi-asserted-by":"crossref","DOI":"10.1016\/j.envsoft.2020.104888","article-title":"Toward open and reproducible environmental modeling by integrating online data repositories, computational environments, and model application programming interfaces","volume":"135","author":"Choi","year":"2021","journal-title":"Environ. Model. Software"},{"key":"10.1016\/j.envsoft.2026.107031_bib9","doi-asserted-by":"crossref","first-page":"2498","DOI":"10.1002\/2015WR017198","article-title":"A unified approach for process-based hydrologic modeling: 1. Modeling concept","volume":"51","author":"Clark","year":"2015","journal-title":"Water Resour. Res."},{"key":"10.1016\/j.envsoft.2026.107031_bib10","doi-asserted-by":"crossref","first-page":"2515","DOI":"10.1002\/2015WR017200","article-title":"A unified approach for process\u2010based hydrologic modeling: 2. Model implementation and case studies","volume":"51","author":"Clark","year":"2015","journal-title":"Water Resour. Res."},{"key":"10.1016\/j.envsoft.2026.107031_bib11","doi-asserted-by":"crossref","first-page":"2350","DOI":"10.1002\/2015WR017910","article-title":"Improving the theoretical underpinnings of process-based hydrologic models","volume":"52","author":"Clark","year":"2016","journal-title":"Water Resour. Res."},{"issue":"6","key":"10.1016\/j.envsoft.2026.107031_bib13","doi-asserted-by":"crossref","first-page":"1246","DOI":"10.1111\/1752-1688.13143","article-title":"The Office of water prediction's analysis of record for calibration, version 1.1: dataset description and precipitation evaluation","volume":"59","author":"Fall","year":"2023","journal-title":"JAWRA J. Am. Water Resour. Assoc."},{"key":"10.1016\/j.envsoft.2026.107031_bib14","doi-asserted-by":"crossref","DOI":"10.1016\/j.envsoft.2024.106306","article-title":"Ensemble data assimilation for operational streamflow predictions in the next generation (NextGen) framework","volume":"185","author":"Foroumandi","year":"2025","journal-title":"Environ. Model. Software"},{"key":"10.1016\/j.envsoft.2026.107031_bib15","doi-asserted-by":"crossref","DOI":"10.1016\/j.envsoft.2020.104731","article-title":"Integrating hydrologic modeling web services with online data sharing to prepare, store, and execute hydrologic models","volume":"130","author":"Gan","year":"2020","journal-title":"Environ. Model. Software"},{"key":"10.1016\/j.envsoft.2026.107031_bib16","doi-asserted-by":"crossref","DOI":"10.1061\/JHYEFF.HEENG-6343","article-title":"Coupling coastal and hydrologic models through next generation national water model framework","volume":"30","author":"Hamidi","year":"2025","journal-title":"J. Hydrol. Eng."},{"key":"10.1016\/j.envsoft.2026.107031_bib17","doi-asserted-by":"crossref","DOI":"10.1371\/journal.pone.0145180","article-title":"SPOTting model parameters using a ready-made python package","volume":"10","author":"Houska","year":"2015","journal-title":"PLoS One"},{"key":"10.1016\/j.envsoft.2026.107031_bib18","doi-asserted-by":"crossref","first-page":"2317","DOI":"10.21105\/joss.02317","article-title":"The basic model interface 2.0: a standard interface for coupling numerical models in the geosciences","volume":"5","author":"Hutton","year":"2020","journal-title":"J. Open Source Softw."},{"key":"10.1016\/j.envsoft.2026.107031_bib19","doi-asserted-by":"crossref","first-page":"68","DOI":"10.1016\/j.envsoft.2015.09.009","article-title":"Technical review of large-scale hydrological models for implementation in operational flood forecasting schemes on continental level","volume":"75","author":"Kauffeldt","year":"2016","journal-title":"Environ. Model. Software"},{"key":"10.1016\/j.envsoft.2026.107031_bib20","doi-asserted-by":"crossref","first-page":"4323","DOI":"10.5194\/hess-23-4323-2019","article-title":"Technical note: inherent benchmark or not? Comparing Nash\u2013Sutcliffe and Kling\u2013Gupta efficiency scores","volume":"23","author":"Knoben","year":"2019","journal-title":"Hydrol. Earth Syst. Sci."},{"key":"10.1016\/j.envsoft.2026.107031_bib21","doi-asserted-by":"crossref","DOI":"10.1029\/2024WR037878","article-title":"An attention-based explainable deep learning approach to spatially distributed hydrologic modeling of a snow dominated mountainous karst watershed","volume":"60","author":"Longyang","year":"2024","journal-title":"Water Resour. Res."},{"key":"10.1016\/j.envsoft.2026.107031_bib22","doi-asserted-by":"crossref","DOI":"10.1016\/j.envsoft.2023.105689","article-title":"Building cyberinfrastructure for the reuse and reproducibility of complex hydrologic modeling studies","volume":"164","author":"Maghami","year":"2023","journal-title":"Environ. Model. Software"},{"key":"10.1016\/j.envsoft.2026.107031_bib23","series-title":"Nextgen Water Modeling Workflow for Research-Scale Applications","author":"Nassar","year":"2026"},{"key":"10.1016\/j.envsoft.2026.107031_bib24","article-title":"Analysis of record for calibration (AORC): Version 1.1\u2014sources, methods, and verification. NOAA office of water prediction","year":"2021","journal-title":"Natl. Water Center"},{"key":"10.1016\/j.envsoft.2026.107031_bib25","doi-asserted-by":"crossref","DOI":"10.1002\/hyp.14268","article-title":"Detailed streamflow data for understanding hydrologic responses in the Logan river observatory","volume":"35","author":"Neilson","year":"2021","journal-title":"Hydrol. Process."},{"key":"10.1016\/j.envsoft.2026.107031_bib26","doi-asserted-by":"crossref","DOI":"10.1111\/1752-1688.70089","article-title":"The NextGen water resources modeling framework: community innovation at the intersection of hydrologic, data and computer sciences","volume":"62","author":"Ogden","year":"2026","journal-title":"JAWRA J. Amer. Water Res. Assoc."},{"key":"10.1016\/j.envsoft.2026.107031_bib27","article-title":"OGC WaterML 2: part 3 \u2013 surface hydrology features (HY_Features) \u2013 Conceptual model","year":"2018","journal-title":"Open Geospatial Consortium"},{"key":"10.1016\/j.envsoft.2026.107031_bib28","doi-asserted-by":"crossref","DOI":"10.1016\/j.envsoft.2025.106666","article-title":"NextGen in A box (NGIAB): open-source containerization of the NextGen framework to enable community-driven hydrology modeling","volume":"193","author":"Patel","year":"2025","journal-title":"Environ. Model. Software"},{"key":"10.1016\/j.envsoft.2026.107031_bib29","doi-asserted-by":"crossref","first-page":"3","DOI":"10.1016\/j.cageo.2012.04.002","article-title":"A component-based approach to integrated modeling in the geosciences: the design of CSDMS","volume":"53","author":"Peckham","year":"2013","journal-title":"Comput. Geosci."},{"key":"10.1016\/j.envsoft.2026.107031_bib30","series-title":"Integrated hydro-terrestrial Modeling 2.0: Progress and Path Forward on Building a National Capability (No. PNNL--37047)","author":"Skalak","year":"2025"},{"key":"10.1016\/j.envsoft.2026.107031_bib31","doi-asserted-by":"crossref","DOI":"10.1016\/j.envsoft.2023.105902","article-title":"HydroShare retrospective: science and technology advances of a comprehensive data and model publication environment for the water science domain","volume":"172","author":"Tarboton","year":"2024","journal-title":"Environ. Model. Software"},{"key":"10.1016\/j.envsoft.2026.107031_bib32","series-title":"International Congress on Environmental Modelling and Software","article-title":"HydroShare: advancing collaboration through hydrologic data and model sharing","author":"Tarboton","year":"2014"},{"issue":"1","key":"10.1016\/j.envsoft.2026.107031_bib33","doi-asserted-by":"crossref","DOI":"10.1038\/sdata.2016.18","article-title":"The FAIR Guiding Principles for scientific data management and stewardship","volume":"3","author":"Wilkinson","year":"2016","journal-title":"Sci. Data"},{"key":"10.1016\/j.envsoft.2026.107031_bib34","doi-asserted-by":"crossref","DOI":"10.1002\/cpe.5040","article-title":"CyberGIS\u2010Jupyter for reproducible and scalable geospatial analytics","volume":"31","author":"Yin","year":"2019","journal-title":"Concurr. Comput."},{"key":"10.1016\/j.envsoft.2026.107031_bib35","doi-asserted-by":"crossref","first-page":"2821","DOI":"10.3390\/w7062821","article-title":"Large-scale hydrological modeling and decision-making for agricultural water consumption and allocation in the main stem tarim river, China","volume":"7","author":"Yu","year":"2015","journal-title":"Water"}],"container-title":["Environmental Modelling & Software"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/api.elsevier.com\/content\/article\/PII:S1364815226001787?httpAccept=text\/xml","content-type":"text\/xml","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/api.elsevier.com\/content\/article\/PII:S1364815226001787?httpAccept=text\/plain","content-type":"text\/plain","content-version":"vor","intended-application":"text-mining"}],"deposited":{"date-parts":[[2026,7,4]],"date-time":"2026-07-04T19:21:56Z","timestamp":1783192916000},"score":1,"resource":{"primary":{"URL":"https:\/\/linkinghub.elsevier.com\/retrieve\/pii\/S1364815226001787"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2026,8]]},"references-count":34,"alternative-id":["S1364815226001787"],"URL":"https:\/\/doi.org\/10.1016\/j.envsoft.2026.107031","relation":{},"ISSN":["1364-8152"],"issn-type":[{"value":"1364-8152","type":"print"}],"subject":[],"published":{"date-parts":[[2026,8]]},"assertion":[{"value":"Elsevier","name":"publisher","label":"This article is maintained by"},{"value":"A cloud-based JupyterHub platform for community research with the NextGen water resources modeling framework","name":"articletitle","label":"Article Title"},{"value":"Environmental Modelling & Software","name":"journaltitle","label":"Journal Title"},{"value":"https:\/\/doi.org\/10.1016\/j.envsoft.2026.107031","name":"articlelink","label":"CrossRef DOI link to publisher maintained version"},{"value":"article","name":"content_type","label":"Content Type"},{"value":"\u00a9 2026 The Authors. Published by Elsevier Ltd.","name":"copyright","label":"Copyright"}],"article-number":"107031"}}