Community Cloud Computing Infrastructure to Support Equitable Water Research and Education.

GroundwaterEarly View Technology Spotlight Community Cloud Computing Infrastructure to Support Equitable Water Research and Education Anthony M. Castronova, Corresponding Author Anthony M. Castronova [email protected] orcid.org/0000-0002-1341-5681 Consortium of Universities for the Advancement of Hydrologic Sciences, Arlington, Massachusetts, USACorresponding author: Consortium of Universities for the Advancement of Hydrologic Sciences, Arlington, MA 02476; [email protected]Search for more papers by this authorAyman Nassar, Ayman Nassar [email protected] Department of Civil and Environmental Engineering, Utah State University, Logan, Utah, USASearch for more papers by this authorWouter Knoben, Wouter Knoben [email protected] Centre for Hydrology, University of Saskatchewan, Canmore, Alberta, CanadaSearch for more papers by this authorMichael N. Fienen, Michael N. Fienen [email protected] orcid.org/0000-0002-7756-4651 U.S. Geological Survey, Upper Midwest Water Science Center, Madison, Wisconsin, USASearch for more papers by this authorLouise Arnal, Louise Arnal [email protected] Centre for Hydrology, University of Saskatchewan, Canmore, Alberta, CanadaSearch for more papers by this authorMartyn Clark, Martyn Clark [email protected] Centre for Hydrology, University of Saskatchewan, Canmore, Alberta, Canada Department of Geography and Planning, University of Saskatchewan, Saskatoon, Saskatchewan, CanadaSearch for more papers by this author Anthony M. Castronova, Corresponding Author Anthony M. Castronova [email protected] orcid.org/0000-0002-1341-5681 Consortium of Universities for the Advancement of Hydrologic Sciences, Arlington, Massachusetts, USACorresponding author: Consortium of Universities for the Advancement of Hydrologic Sciences, Arlington, MA 02476; [email protected]Search for more papers by this authorAyman Nassar, Ayman Nassar [email protected] Department of Civil and Environmental Engineering, Utah State University, Logan, Utah, USASearch for more papers by this authorWouter Knoben, Wouter Knoben [email protected] Centre for Hydrology, University of Saskatchewan, Canmore, Alberta, CanadaSearch for more papers by this authorMichael N. Fienen, Michael N. Fienen [email protected] orcid.org/0000-0002-7756-4651 U.S. Geological Survey, Upper Midwest Water Science Center, Madison, Wisconsin, USASearch for more papers by this authorLouise Arnal, Louise Arnal [email protected] Centre for Hydrology, University of Saskatchewan, Canmore, Alberta, CanadaSearch for more papers by this authorMartyn Clark, Martyn Clark [email protected] Centre for Hydrology, University of Saskatchewan, Canmore, Alberta, Canada Department of Geography and Planning, University of Saskatchewan, Saskatoon, Saskatchewan, CanadaSearch for more papers by this author First published: 26 June 2023 https://doi.org/10.1111/gwat.13337 Conflict of interest: None. Article impact statement: CUAHSI hosts a JupyterHub service to provide equitable access to cloud computing for water science research and education. Read the full textAboutPDF ToolsRequest permissionExport citationAdd to favoritesTrack citation ShareShare Give accessShare full text accessShare full-text accessPlease review our Terms and Conditions of Use and check box below to share full-text version of article.I have read and accept the Wiley Online Library Terms and Conditions of UseShareable LinkUse the link below to share a full-text version of this article with your friends and colleagues. Learn more.Copy URL Share a linkShare onEmailFacebookTwitterLinkedInRedditWechat References Castronova, A.M., Raney, A., Maghami, I., Black, S., and Goodall, J. 2021. Developing reusable and reproducible water science modeling workflows in community data repositories. In AGU Fall Meeting Abstracts, vol. 2021, IN55D-08. Ivie, P., and D. Thain. 2018. Reproducibility in scientific computing. ACM Computing Surveys (CSUR) 51, no. 3: 1–36. Kluyver, T., Ragan-Kelley, B., Pérez, F., Granger, B.E., Bussonnier, M., Frederic, J., Kelley, K., Hamrick, J.B., Grout, J., Corlay, S., and P. Ivanov. 2016. Jupyter Notebooks – A publishing format for reproducible computational workflows. In Positioning and Power in Academic Publishing: Players, Agents and Agendas, ed. F. Loizides, and B. Scmidt. IOS Press, UC Berkeley, CA. https://escholarship.org/uc/item/08b3d4s2. Makropoulos, C., and D.A. Savić. 2019. Urban hydroinformatics: Past, present and future. Water 11, no. 10: 1959. Tarboton, D.G., Idaszak, R., Horsburgh, J.S., Heard, J., Ames, D., Goodall, J.L., Band, L., Merwade, V., Couch, A., Arrigo, J. and Hooper, R. 2014. HydroShare: Advancing collaboration through hydrologic data and model sharing. In 7th International Congress of Environmental Modeling and Software. Early ViewOnline Version of Record before inclusion in an issue ReferencesRelatedInformation