Improving numerical forecast accuracy with ensemble Kalman filter and chaos theory: Case study on Ciliwung river model

10.1016/j.jhydrol.2014.03.016

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Main Authors: Sun, Y., Doan, C.D., Dao, A.T., Liu, J., Liong, S.-Y.
Other Authors: TROPICAL MARINE SCIENCE INSTITUTE
Format: Article
Published: 2014
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Online Access:http://scholarbank.nus.edu.sg/handle/10635/116405
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Institution: National University of Singapore
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spelling sg-nus-scholar.10635-1164052023-10-26T10:18:21Z Improving numerical forecast accuracy with ensemble Kalman filter and chaos theory: Case study on Ciliwung river model Sun, Y. Doan, C.D. Dao, A.T. Liu, J. Liong, S.-Y. TROPICAL MARINE SCIENCE INSTITUTE Chaos theory Ciliwung river Data assimilation Ensemble kalman filter 10.1016/j.jhydrol.2014.03.016 Journal of Hydrology 512 540-548 JHYDA 2014-12-12T07:49:29Z 2014-12-12T07:49:29Z 2014-05-06 Article Sun, Y., Doan, C.D., Dao, A.T., Liu, J., Liong, S.-Y. (2014-05-06). Improving numerical forecast accuracy with ensemble Kalman filter and chaos theory: Case study on Ciliwung river model. Journal of Hydrology 512 : 540-548. ScholarBank@NUS Repository. https://doi.org/10.1016/j.jhydrol.2014.03.016 00221694 http://scholarbank.nus.edu.sg/handle/10635/116405 000335706900045 Scopus
institution National University of Singapore
building NUS Library
continent Asia
country Singapore
Singapore
content_provider NUS Library
collection ScholarBank@NUS
topic Chaos theory
Ciliwung river
Data assimilation
Ensemble kalman filter
spellingShingle Chaos theory
Ciliwung river
Data assimilation
Ensemble kalman filter
Sun, Y.
Doan, C.D.
Dao, A.T.
Liu, J.
Liong, S.-Y.
Improving numerical forecast accuracy with ensemble Kalman filter and chaos theory: Case study on Ciliwung river model
description 10.1016/j.jhydrol.2014.03.016
author2 TROPICAL MARINE SCIENCE INSTITUTE
author_facet TROPICAL MARINE SCIENCE INSTITUTE
Sun, Y.
Doan, C.D.
Dao, A.T.
Liu, J.
Liong, S.-Y.
format Article
author Sun, Y.
Doan, C.D.
Dao, A.T.
Liu, J.
Liong, S.-Y.
author_sort Sun, Y.
title Improving numerical forecast accuracy with ensemble Kalman filter and chaos theory: Case study on Ciliwung river model
title_short Improving numerical forecast accuracy with ensemble Kalman filter and chaos theory: Case study on Ciliwung river model
title_full Improving numerical forecast accuracy with ensemble Kalman filter and chaos theory: Case study on Ciliwung river model
title_fullStr Improving numerical forecast accuracy with ensemble Kalman filter and chaos theory: Case study on Ciliwung river model
title_full_unstemmed Improving numerical forecast accuracy with ensemble Kalman filter and chaos theory: Case study on Ciliwung river model
title_sort improving numerical forecast accuracy with ensemble kalman filter and chaos theory: case study on ciliwung river model
publishDate 2014
url http://scholarbank.nus.edu.sg/handle/10635/116405
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