{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,3,10]],"date-time":"2026-03-10T00:00:45Z","timestamp":1773100845049,"version":"3.50.1"},"reference-count":40,"publisher":"IEEE","license":[{"start":{"date-parts":[[2024,1,8]],"date-time":"2024-01-08T00:00:00Z","timestamp":1704672000000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2024,1,8]],"date-time":"2024-01-08T00:00:00Z","timestamp":1704672000000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2024,1,8]]},"DOI":"10.1109\/ccwc60891.2024.10427649","type":"proceedings-article","created":{"date-parts":[[2024,2,13]],"date-time":"2024-02-13T18:35:29Z","timestamp":1707849329000},"page":"0498-0506","source":"Crossref","is-referenced-by-count":1,"title":["Reducing the Computational Cost of Urban Flood Prediction in Los Angeles"],"prefix":"10.1109","author":[{"given":"Laura","family":"Bedoyan","sequence":"first","affiliation":[{"name":"California State University Northridge,Department of Computer Science,Northridge,USA"}]},{"given":"Mansoureh","family":"Lord","sequence":"additional","affiliation":[{"name":"California State University Northridge,Department of Computer Science,Northridge,USA"}]},{"given":"Adam","family":"Kaplan","sequence":"additional","affiliation":[{"name":"California State University Northridge,Department of Computer Science,Northridge,USA"}]}],"member":"263","reference":[{"key":"ref1","volume-title":"At Risk: Natural Hazards, People\u2019s Vulnerability, and Disasters.","author":"Wisner","year":"2003"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1038\/s41893-022-00977-7"},{"issue":"15","key":"ref3","first-page":"4013","article-title":"Flood forecasting with machine learning models in an operational framework","volume-title":"Hydrology and Earth System Sciences","volume":"26","author":"Nevo","year":"2022"},{"issue":"5","key":"ref4","first-page":"2843","article-title":"Urban surface water flood modelling \u2013 a comprehensive review of current models and future challenges","volume-title":"Hydrology and Earth System Sciences","volume":"25","author":"Guo","year":"2021"},{"key":"ref5","first-page":"79","article-title":"Primo: Parallel raster inundation model","volume-title":"Advances in Water Resources","volume":"126","author":"Sanders","year":"2019"},{"key":"ref6","article-title":"Modeler application guidance for steady vs unsteady, and 1d vs 2d vs 3d hydraulic modeling","volume-title":"Tech. Rep.","author":"Brunner","year":"2020"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2020.2998035"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1109\/ICASSP43922.2022.9747630"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1109\/JSEN.2021.3060395"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1145\/3491206"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1109\/CSCI54926.2021.00159"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1016\/j.isprsjprs.2019.04.014"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1038\/s41598-023-32548-x"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1029\/2019WR025326"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1029\/2021WR031279"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1002\/wrcr.20406"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2022.3199036"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1016\/j.advwatres.2022.104287"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1038\/s42256-021-00374-3"},{"key":"ref21","first-page":"2045","article-title":"Rainfall-runoff prediction at multiple timescales with a single long short-term memory network","volume-title":"Hydrology and Earth System Sciences","volume":"25","author":"Nevo","year":"2021"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1098\/rsta.2020.0093"},{"key":"ref23","article-title":"Deep learning-based fast solver of the shallow water equations","author":"Forghani","year":"2021","journal-title":"AAAI MLPS"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1016\/j.jcp.2022.111024"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1016\/j.jcp.2018.10.045"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1016\/j.jcp.2020.109951"},{"issue":"1","key":"ref27","first-page":"e220023","article-title":"A hybrid physics\u2013ai model to improve hydrological forecasts","volume-title":"Artificial Intelligence for the Earth Systems","volume":"2","author":"Duan","year":"2023"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1016\/j.jhydrol.2019.05.066"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1016\/j.jhydrol.2020.124700"},{"key":"ref30","article-title":"Physics-aware architecture of neural networks for uncertainty quantification: Application in lake temperature modeling","author":"Daw","year":"2019"},{"issue":"12","key":"ref31","first-page":"4357","article-title":"Interpreting and stabilizing machine-learning parametrizations of convection","volume-title":"Journal of the Atmospheric Sciences","volume":"77","author":"Brenowitz","year":"2020"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.1109\/JSTARS.2022.3152127"},{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.1109\/LGRS.2018.2845549"},{"key":"ref34","article-title":"Reducing the computational cost of urban flood prediction in los angeles","volume-title":"Master\u2019s thesis","author":"Bedoyan","year":"2023"},{"key":"ref35","article-title":"United states geological survey 3d elevation program 1 meter digital elevation model","volume-title":"Distributed by OpenTopography","year":"2021"},{"key":"ref36","volume-title":"Data from: Los angeles storm drain system dataset","year":"2023"},{"key":"ref37","volume-title":"La county climate vulnerability assessment","year":"2021"},{"key":"ref38","article-title":"Hydrologic data","year":"2023"},{"key":"ref39","volume-title":"National levee database. US Army Corps of Engineers (USACE)","year":"2016"},{"key":"ref40","volume-title":"USGS National Water Information System Real-Time Data","year":"2023"},{"key":"ref41","volume-title":"NOAA National Centers for Environmental Information - Climate Data Online","year":"2023"}],"event":{"name":"2024 IEEE 14th Annual Computing and Communication Workshop and Conference (CCWC)","location":"Las Vegas, NV, USA","start":{"date-parts":[[2024,1,8]]},"end":{"date-parts":[[2024,1,10]]}},"container-title":["2024 IEEE 14th Annual Computing and Communication Workshop and Conference (CCWC)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/10426790\/10427556\/10427649.pdf?arnumber=10427649","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,3,3]],"date-time":"2024-03-03T09:31:51Z","timestamp":1709458311000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/10427649\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2024,1,8]]},"references-count":40,"URL":"https:\/\/doi.org\/10.1109\/ccwc60891.2024.10427649","relation":{},"subject":[],"published":{"date-parts":[[2024,1,8]]}}}