Matches in SemOpenAlex for { <https://semopenalex.org/work/W4366990088> ?p ?o ?g. }
- W4366990088 endingPage "13" @default.
- W4366990088 startingPage "1" @default.
- W4366990088 abstract "Model parameters play important roles in the accuracy of model results, especially parameters characterizing initial states of the basin need to be updated regularly with the most recent ground station data. This study applied ensemble the Kalman filter (EnKF) coupled with the HYdrological MODel (HyMOD) hydrological model to identify the optimal parameterization for flood forecasting and provided assessments of its impacts on the Chu River Basin of Vietnam. The results showed significant improvements with the application of EnKF techniques, however the parameterization depends on types and characteristics of flood events. The parameters were converged by the end of the simulated time periods to the most accurate model parameterization. As a result, the Nash–Sutciffe coefficient was 0.9 for EnKF, whereas it was only 0.3 for non-EnKF; mean absolute bias of 70 m3/s in applied-EnKF compared with 400 m3/s in non-EnKF, the Brier Score and spread values in applied-EnKF are much closer to zero than that in non-EnKF." @default.
- W4366990088 created "2023-04-27" @default.
- W4366990088 creator A5075434697 @default.
- W4366990088 creator A5081700208 @default.
- W4366990088 date "2023-04-24" @default.
- W4366990088 modified "2023-09-28" @default.
- W4366990088 title "Coupling duo-assimilation to hydrological model to enhance flood forecasting" @default.
- W4366990088 cites W1507471273 @default.
- W4366990088 cites W1527594523 @default.
- W4366990088 cites W1539970466 @default.
- W4366990088 cites W1586274211 @default.
- W4366990088 cites W1667160246 @default.
- W4366990088 cites W1761851204 @default.
- W4366990088 cites W1965068681 @default.
- W4366990088 cites W1991921673 @default.
- W4366990088 cites W1996476760 @default.
- W4366990088 cites W1999260365 @default.
- W4366990088 cites W2030678568 @default.
- W4366990088 cites W2037825302 @default.
- W4366990088 cites W2070704253 @default.
- W4366990088 cites W2073241381 @default.
- W4366990088 cites W2075869611 @default.
- W4366990088 cites W2083093485 @default.
- W4366990088 cites W2086189650 @default.
- W4366990088 cites W2108604227 @default.
- W4366990088 cites W2114971337 @default.
- W4366990088 cites W2115542045 @default.
- W4366990088 cites W2123634172 @default.
- W4366990088 cites W2133837084 @default.
- W4366990088 cites W2138660184 @default.
- W4366990088 cites W2147119488 @default.
- W4366990088 cites W2157098139 @default.
- W4366990088 cites W2160337655 @default.
- W4366990088 cites W2162353235 @default.
- W4366990088 cites W2164628306 @default.
- W4366990088 cites W2179860363 @default.
- W4366990088 cites W2279799478 @default.
- W4366990088 cites W2399542593 @default.
- W4366990088 cites W24878881 @default.
- W4366990088 cites W2521488166 @default.
- W4366990088 cites W2531731909 @default.
- W4366990088 cites W2597522655 @default.
- W4366990088 cites W2769169336 @default.
- W4366990088 cites W2792826343 @default.
- W4366990088 cites W2901534810 @default.
- W4366990088 cites W2932168008 @default.
- W4366990088 cites W2959031563 @default.
- W4366990088 cites W3008287630 @default.
- W4366990088 doi "https://doi.org/10.1080/23249676.2023.2201475" @default.
- W4366990088 hasPublicationYear "2023" @default.
- W4366990088 type Work @default.
- W4366990088 citedByCount "0" @default.
- W4366990088 crossrefType "journal-article" @default.
- W4366990088 hasAuthorship W4366990088A5075434697 @default.
- W4366990088 hasAuthorship W4366990088A5081700208 @default.
- W4366990088 hasConcept C105795698 @default.
- W4366990088 hasConcept C127313418 @default.
- W4366990088 hasConcept C153294291 @default.
- W4366990088 hasConcept C157286648 @default.
- W4366990088 hasConcept C166957645 @default.
- W4366990088 hasConcept C183195422 @default.
- W4366990088 hasConcept C205649164 @default.
- W4366990088 hasConcept C206833254 @default.
- W4366990088 hasConcept C24552861 @default.
- W4366990088 hasConcept C33923547 @default.
- W4366990088 hasConcept C39432304 @default.
- W4366990088 hasConcept C49204034 @default.
- W4366990088 hasConcept C74256435 @default.
- W4366990088 hasConcept C79334102 @default.
- W4366990088 hasConceptScore W4366990088C105795698 @default.
- W4366990088 hasConceptScore W4366990088C127313418 @default.
- W4366990088 hasConceptScore W4366990088C153294291 @default.
- W4366990088 hasConceptScore W4366990088C157286648 @default.
- W4366990088 hasConceptScore W4366990088C166957645 @default.
- W4366990088 hasConceptScore W4366990088C183195422 @default.
- W4366990088 hasConceptScore W4366990088C205649164 @default.
- W4366990088 hasConceptScore W4366990088C206833254 @default.
- W4366990088 hasConceptScore W4366990088C24552861 @default.
- W4366990088 hasConceptScore W4366990088C33923547 @default.
- W4366990088 hasConceptScore W4366990088C39432304 @default.
- W4366990088 hasConceptScore W4366990088C49204034 @default.
- W4366990088 hasConceptScore W4366990088C74256435 @default.
- W4366990088 hasConceptScore W4366990088C79334102 @default.
- W4366990088 hasLocation W43669900881 @default.
- W4366990088 hasOpenAccess W4366990088 @default.
- W4366990088 hasPrimaryLocation W43669900881 @default.
- W4366990088 hasRelatedWork W2033878009 @default.
- W4366990088 hasRelatedWork W2060741048 @default.
- W4366990088 hasRelatedWork W2155438669 @default.
- W4366990088 hasRelatedWork W3120546014 @default.
- W4366990088 hasRelatedWork W3136438287 @default.
- W4366990088 hasRelatedWork W3148587025 @default.
- W4366990088 hasRelatedWork W4221067064 @default.
- W4366990088 hasRelatedWork W4245747158 @default.
- W4366990088 hasRelatedWork W4280646083 @default.
- W4366990088 hasRelatedWork W4367609771 @default.
- W4366990088 isParatext "false" @default.
- W4366990088 isRetracted "false" @default.