[{"month":"10","user_id":"ba8df636-2132-11f1-aed0-ed93e2281fdd","volume":48,"citation":{"apa":"Ivanov, V. Y., Xu, D., Dwelle, M. C., Sargsyan, K., Wright, D. B., Katopodes, N., … Bras, R. L. (2021). Breaking down the computational barriers to real‐time urban flood forecasting. <i>Geophysical Research Letters</i>. American Geophysical Union. <a href=\"https://doi.org/10.1029/2021gl093585\">https://doi.org/10.1029/2021gl093585</a>","ama":"Ivanov VY, Xu D, Dwelle MC, et al. Breaking down the computational barriers to real‐time urban flood forecasting. <i>Geophysical Research Letters</i>. 2021;48(20). doi:<a href=\"https://doi.org/10.1029/2021gl093585\">10.1029/2021gl093585</a>","chicago":"Ivanov, Valeriy Y., Donghui Xu, M. Chase Dwelle, Khachik Sargsyan, Daniel B. Wright, Nikolaos Katopodes, Jongho Kim, et al. “Breaking down the Computational Barriers to Real‐time Urban Flood Forecasting.” <i>Geophysical Research Letters</i>. American Geophysical Union, 2021. <a href=\"https://doi.org/10.1029/2021gl093585\">https://doi.org/10.1029/2021gl093585</a>.","ieee":"V. Y. Ivanov <i>et al.</i>, “Breaking down the computational barriers to real‐time urban flood forecasting,” <i>Geophysical Research Letters</i>, vol. 48, no. 20. American Geophysical Union, 2021.","ista":"Ivanov VY, Xu D, Dwelle MC, Sargsyan K, Wright DB, Katopodes N, Kim J, Tran VN, Warnock A, Fatichi S, Burlando P, Caporali E, Restrepo P, Sanders BF, Chaney MM, Nunes AMB, Nardi F, Vivoni ER, Istanbulluoglu E, Bisht G, Bras RL. 2021. Breaking down the computational barriers to real‐time urban flood forecasting. Geophysical Research Letters. 48(20), e2021GL093585.","mla":"Ivanov, Valeriy Y., et al. “Breaking down the Computational Barriers to Real‐time Urban Flood Forecasting.” <i>Geophysical Research Letters</i>, vol. 48, no. 20, e2021GL093585, American Geophysical Union, 2021, doi:<a href=\"https://doi.org/10.1029/2021gl093585\">10.1029/2021gl093585</a>.","short":"V.Y. Ivanov, D. Xu, M.C. Dwelle, K. Sargsyan, D.B. Wright, N. Katopodes, J. Kim, V.N. Tran, A. Warnock, S. Fatichi, P. Burlando, E. Caporali, P. Restrepo, B.F. Sanders, M.M. Chaney, A.M.B. Nunes, F. Nardi, E.R. Vivoni, E. Istanbulluoglu, G. Bisht, R.L. Bras, Geophysical Research Letters 48 (2021)."},"scopus_import":"1","status":"public","publisher":"American Geophysical Union","day":"28","article_type":"letter_note","quality_controlled":"1","OA_type":"free access","year":"2021","oa_version":"Published Version","article_number":"e2021GL093585","author":[{"first_name":"Valeriy Y.","last_name":"Ivanov","full_name":"Ivanov, Valeriy Y."},{"first_name":"Donghui","last_name":"Xu","full_name":"Xu, Donghui"},{"full_name":"Dwelle, M. Chase","first_name":"M. Chase","last_name":"Dwelle"},{"full_name":"Sargsyan, Khachik","last_name":"Sargsyan","first_name":"Khachik"},{"full_name":"Wright, Daniel B.","first_name":"Daniel B.","last_name":"Wright"},{"first_name":"Nikolaos","last_name":"Katopodes","full_name":"Katopodes, Nikolaos"},{"last_name":"Kim","first_name":"Jongho","full_name":"Kim, Jongho"},{"last_name":"Tran","first_name":"Vinh Ngoc","full_name":"Tran, Vinh Ngoc"},{"last_name":"Warnock","first_name":"April","full_name":"Warnock, April"},{"id":"cf8e546b-a9b0-11f0-a43b-aa89ed1b56d6","full_name":"Fatichi, Simone","first_name":"Simone","last_name":"Fatichi"},{"full_name":"Burlando, Paolo","last_name":"Burlando","first_name":"Paolo"},{"full_name":"Caporali, Enrica","last_name":"Caporali","first_name":"Enrica"},{"first_name":"Pedro","last_name":"Restrepo","full_name":"Restrepo, Pedro"},{"last_name":"Sanders","first_name":"Brett F.","full_name":"Sanders, Brett F."},{"last_name":"Chaney","first_name":"Molly M.","full_name":"Chaney, Molly M."},{"first_name":"Ana M. B.","last_name":"Nunes","full_name":"Nunes, Ana M. B."},{"full_name":"Nardi, Fernando","last_name":"Nardi","first_name":"Fernando"},{"first_name":"Enrique R.","last_name":"Vivoni","full_name":"Vivoni, Enrique R."},{"full_name":"Istanbulluoglu, Erkan","first_name":"Erkan","last_name":"Istanbulluoglu"},{"last_name":"Bisht","first_name":"Gautam","full_name":"Bisht, Gautam"},{"full_name":"Bras, Rafael L.","first_name":"Rafael L.","last_name":"Bras"}],"main_file_link":[{"url":"https://doi.org/10.1029/2021GL093585","open_access":"1"}],"extern":"1","oa":1,"publication_status":"published","publication":"Geophysical Research Letters","OA_place":"publisher","language":[{"iso":"eng"}],"publication_identifier":{"eissn":["1944-8007"],"issn":["0094-8276"]},"doi":"10.1029/2021gl093585","date_updated":"2026-08-07T06:50:54Z","title":"Breaking down the computational barriers to real‐time urban flood forecasting","date_published":"2021-10-28T00:00:00Z","abstract":[{"lang":"eng","text":"Flooding impacts are on the rise globally, and concentrated in urban areas. Currently, there are no operational systems to forecast flooding at spatial resolutions that can facilitate emergency preparedness and response actions mitigating flood impacts. We present a framework for real-time flood modeling and uncertainty quantification that combines the physics of fluid motion with advances in probabilistic methods. The framework overcomes the prohibitive computational demands of high-fidelity modeling in real-time by using a probabilistic learning method relying on surrogate models that are trained prior to a flood event. This shifts the overwhelming burden of computation to the trivial problem of data storage, and enables forecasting of both flood hazard and its uncertainty at scales that are vital for time-critical decision-making before and during extreme events. The framework has the potential to improve flood prediction and analysis and can be extended to other hazard assessments requiring intense high-fidelity computations in real-time."}],"intvolume":"        48","issue":"20","date_created":"2026-07-27T12:30:24Z","type":"journal_article","article_processing_charge":"No","das_tickbox":"1","_id":"22535"}]