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In light of the pervasiveness of Web technology and more broadly of information and communication technology (ICT), this article presents an overview of recent advances in Web data analytics for hydrology and hydroinformatics, via scientific perspectives, experiments, and tools pertaining to hydrology data and its relevance to areas such as climate change. Researchers have conducted studies on hydrological problems that are spreading globally, and the role of the Web is crucial here for providing ubiquitous access to information, enabling its efficient analysis and adequately disseminating the results via websites and apps. This aids in predictive analytics and decision support. We address the management, mining, and dissemination of hydrology data with the long-term goal of global sustainability. We survey classical and state-of-the-art works in hydroinformatics and the Web, also including recent COVID-19 related issues, and discuss notable open avenues for future research both with regard to climate change as well as the future of the Web.<\/jats:p>","DOI":"10.1145\/3427478.3427481","type":"journal-article","created":{"date-parts":[[2020,11,26]],"date-time":"2020-11-26T19:56:25Z","timestamp":1606420585000},"page":"1-17","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":3,"title":["Hydroinformatics and the web"],"prefix":"10.1145","volume":"2020","author":[{"given":"Drashti","family":"Pathak","sequence":"first","affiliation":[{"name":"Montclair State University"}]},{"given":"Aparna S.","family":"Varde","sequence":"additional","affiliation":[{"name":"Montclair State University"}]},{"given":"Gerard","family":"De Melo","sequence":"additional","affiliation":[{"name":"University of Potsdam, Germany and Rutgers University"}]},{"given":"Clement","family":"Alo","sequence":"additional","affiliation":[{"name":"Montclair State University"}]}],"member":"320","published-online":{"date-parts":[[2020,11,25]]},"reference":[{"key":"e_1_2_1_1_1","volume-title":"Hydroinformatics: information technology and the aquatic environment. 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Scellato, S. 2011. \"beyond the social web: the geo-social revolution\" by Salvatore Scellato with Ching-man Au Yeung as coordinator. ACMSIGWEB Newsl. Autumn 2011, 5:1--5:5.","journal-title":"ACMSIGWEB Newsl"},{"key":"e_1_2_1_39_1","first-page":"32","article-title":"Computational earth science: Big data transformed into insight. EOS Transactions","volume":"94","author":"Sellars S.","year":"2013","unstructured":"Sellars , S. , Nguyen , P. , Chu , W. , Gao , X. , Hsu , K. , and Sorooshian , S. 2013 . Computational earth science: Big data transformed into insight. EOS Transactions , AGU 94 , 32 , 277. Sellars, S., Nguyen, P., Chu, W., Gao, X., Hsu, K., and Sorooshian, S. 2013. Computational earth science: Big data transformed into insight. EOS Transactions, AGU 94, 32, 277.","journal-title":"AGU"},{"key":"e_1_2_1_40_1","doi-asserted-by":"crossref","unstructured":"Serdeczny O. Adams S. Baarsch F. Cuomou D. Robinson A. Hare B. Schaeffer M. Perrette M. and Reinhardt J. 2016. 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Journal of Coastal Research, 1691--1695.","journal-title":"Journal of Coastal Research, 1691--1695."},{"key":"e_1_2_1_44_1","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1145\/3057281","article-title":"Computing urban traffic congestions by incorporating sparse GPS probe data and social media data","volume":"35","author":"Wang S.","year":"2017","unstructured":"Wang , S. , Zhang , X. , Cao , J. , He , L. , Stenneth , L. , Yu , P. , Li , Z. , and Huang , Z. 2017 . Computing urban traffic congestions by incorporating sparse GPS probe data and social media data . ACM Transactions on Information Systems 35 , 4, 1 -- 30 . Wang, S., Zhang, X., Cao, J., He, L., Stenneth, L., Yu, P., Li, Z., and Huang, Z. 2017. Computing urban traffic congestions by incorporating sparse GPS probe data and social media data. 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