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Hydrology and Earth System Sciences An interactive open-access journal of the European Geosciences Union
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Volume 21, issue 1
Hydrol. Earth Syst. Sci., 21, 635–650, 2017
https://doi.org/10.5194/hess-21-635-2017
© Author(s) 2017. This work is distributed under
the Creative Commons Attribution 3.0 License.

Special issue: Sub-seasonal to seasonal hydrological forecasting

Hydrol. Earth Syst. Sci., 21, 635–650, 2017
https://doi.org/10.5194/hess-21-635-2017
© Author(s) 2017. This work is distributed under
the Creative Commons Attribution 3.0 License.

Research article 31 Jan 2017

Research article | 31 Jan 2017

Evaluation of snow data assimilation using the ensemble Kalman filter for seasonal streamflow prediction in the western United States

Chengcheng Huang et al.
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Cited articles  
Anderson, E.: Calibration of conceptual hydrologic models for use in river forecasting, Office of Hydrologic Development, US National Weather Service, Silver Spring, MD, 2002.
Anderson, E. A.: “NWSRFS Forecast Procedures”, NOAA Technical Memorandum, NWS HYDRO-14, Office of Hydrologic Development, Hydrology Laboratory, NWS/NOAA, Silver Spring, MD, 1972.
Anderson, E. A.: National Weather Service River Forecast System: Snow accumulation and ablation model, 17 US Department of Commerce, National Oceanic and Atmospheric Administration, National Weather Service, 1973.
Andreadis, K. M. and Lettenmaier, D. P.: Assimilating remotely sensed snow observations into a macroscale hydrology model, Adv. Water Resour., 29, 872–886, 2006.
Arheimer, B., Lindström, G., and Olsson, J.: A systematic review of sensitivities in the Swedish flood-forecasting system, Atmos. Res., 100, 275–284, https://doi.org/10.1016/j.atmosres.2010.09.013, 2011.
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This study examined the potential of snow water equivalent data assimilation to improve seasonal streamflow predictions. We examined aspects of the data assimilation system over basins with varying climates across the western US. We found that varying how the data assimilation system is implemented impacts forecast performance, and basins with good initial calibrations see less benefit. This implies that basin-specific configurations and benefits should be expected given this modeling system.
This study examined the potential of snow water equivalent data assimilation to improve seasonal...
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