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

Liu, Y.; Weerts, Albrecht; Clark, Martyn; Hendricks Franssen, Harrie‐Jan; V. Kumar, Sujay; Moradkhani, Hamid; Seo, Dong‐Jun; Schwanenberg, Dirk; J. Smith, Paul; I. J. M. van Dijk, Albert; van Velzen, N.; He, Minxue; Lee, H.; Jin Noh, Seong; Rakovec, Oldřich; J. Restrepo, P.

doi:10.5194/hess-16-3863-2012

Public

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

Published in Hydrology and earth system sciences • Oct 29, 2012

Authors:

Y. Liu

Albrecht Weerts

Martyn Clark

Abstract

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 systems to improve the skill of forecast...

Subject

Hydrological modelling

Data assimilation

Computer science

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