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Advancing data assimilation in operational hydrologic forecasting: progresses, challenges, and emerging opportunities

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Date

2012

Authors

Liu, Y
Weerts, A.H.
Clark, M.
Hendricks Franssen, H.-J
Kumar, S.
Moradkhani, H.
Seo, D-J
Schwanenberg, D.
Smith, P.
Van Dijk, Albert

Journal Title

Journal ISSN

Volume Title

Publisher

Copernicus GmbH

Abstract

Data assimilation (DA) holds considerable potential for improving hydrologic predictions as demonstrated in numerous research studies. However, advances in hydrologic DA research have not been adequately or timely implemented in operational forecast syste

Description

Keywords

Keywords: Hydrologic applications; Hydrologic forecasting; Operational forecast system; Operational forecasters; Operational forecasting; Real-time forecasting; Water resources management; Water resources systems; Cost effectiveness; Data processing; Developing cou

Citation

URI

http://hdl.handle.net/1885/63833

Collections

ANU Research Publications

Source

Hydrology and Earth System Sciences

Type

Journal article

Book Title

Entity type

Access Statement

Open Access

License Rights

DOI

10.5194/hess-16-3863-2012

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