Multi-model approach of data-driven flood forecasting with error correction for large river basins

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Multi-model approach of data-driven flood forecasting with error correction for large river basins

Four data-driven hydrological flood forecasting methods are applied at 20 locations in Pahang River basin, Malaysia (area 30 000 km2). Models are calibrated and validated using historical monsoon flood data. To improve real-time forecast accuracy with 48-h lead time, continuous error correction is a...

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Bibliographic Details
Published in:	Hydrological Sciences Journal
Main Author:	Lim F.H.; Lee W.-K.; Osman S.; Lee A.S.P.; Khor W.S.; Ruslan N.H.; Ghazali N.H.M.
Format:	Article
Language:	English
Published:	Taylor and Francis Ltd. 2022
Online Access:	https://www.scopus.com/inward/record.uri?eid=2-s2.0-85131575203&doi=10.1080%2f02626667.2022.2064754&partnerID=40&md5=3adf2407386f5b53cfa6fa4ee835fccd

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