Operational hydrological data assimilation with the recursive ensemble Kalman filter

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Title

Operational hydrological data assimilation with the recursive ensemble Kalman filter

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Directory of Open Access Journals

Description

This paper describes the design and use of a recursive ensemble Kalman filter (REnKF) to assimilate streamflow data in an operational flow forecasting system of seven catchments in New Zealand. The REnKF iteratively updates past and present model states (soil water, aquifer and surface storages), with lags up to the concentration time of the catchment, to improve model initial conditions and hence flow forecasts. We found the REnKF overcame instabilities in the standard EnKF, which were assoc...

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Format

Research paper

Date created

2013-01-01

Creator

H. K. McMillan / E. Ö. Hreinsson / M. P. Clark / S. K. Singh / C. Zammit / M. J. Uddstrom

Contributing partner

Hydrology and Earth System Sciences

URL

http://www.hydrol-earth-syst-sci.net/17/21/2013/hess-17-21-2013.pdf

Related subjects

Technology / Environmental technology / Sanitary engineering / Geography / Anthropology / Recreation / Environmental sciences

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