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

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; van Velzen, N.; He, M.; Lee, H.; Noh, S.J.; Rakovec, O.; Restrepo, P.


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

CollectionsANU Research Publications
Date published: 2012
Type: Journal article
Source: Hydrology and Earth System Sciences
DOI: 10.5194/hess-16-3863-2012
Access Rights: Open Access


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