Data assimilation for distributed hydrological catchment modeling via ensemble Kalman filter

@inproceedings{Xie2010DataAF,
  title={Data assimilation for distributed hydrological catchment modeling via ensemble Kalman filter},
  author={Xianhong Xie and Dongxiao Zhang},
  year={2010}
}
Catchment scale hydrological models are critical decision support tools for water resources management and environment remediation. However, the reliability of hydrological models is inevitably affected by limited measurements and imperfect models. Data assimilation techniques combine complementary information from measurements and models to enhance the model reliability and reduce predictive uncertainties. As a sequential data assimilation technique, the ensemble Kalman filter (EnKF) has been… CONTINUE READING

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