the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
Identification of hydrological model parameters variation using ensemble Kalman filter
Chao Deng
Shenglian Guo
Zejun Li
Dingbao Wang
Abstract. Hydrological model parameters play an important role in the ability of model prediction. In a stationary content, parameters of hydrological models are treated as constants. However, model parameters may vary dynamically with time under climate change and human activities. The technique of ensemble Kalman filter (EnKF) is proposed to identify the temporal variation of parameters for a two-parameter monthly water balance model by assimilating the runoff observations, where one of state equations is that the model parameters should not change much within a short time period. Through a synthetic experiment, the proposed method is evaluated with various types of parameter variations including trend, abrupt change, and periodicity. The application of the method to the Wudinghe basin shows that the water storage capacity, a parameter in the model, has an apparent increasing trend during the period from 1958 to 2000. The identified temporal variation of water storage capacity is explained by land use and land cover changes due to soil and water conservation measurements. Whereas, the application to the Tongtianhe basin demonstrates that the parameter of water storage capacity has no significant variation during the simulation of 1982–2013, corresponding to the relatively stationary catchment characteristics. Additionally, the proposed method improves the performance of hydrological modeling, and provides an effective tool for quantifying temporal variation of model parameters.
Chao Deng et al.


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RC1: 'Review for hess-2015-407: Identification of hydrological model parameters variation using ensemble Kalman filter', Anonymous Referee #1, 24 Mar 2016
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AC1: 'Author's response to anonymous referee #1', Pan Liu, 08 Jun 2016
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AC1: 'Author's response to anonymous referee #1', Pan Liu, 08 Jun 2016
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RC2: 'Review of research article', Anonymous Referee #2, 31 May 2016
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AC2: 'Author's response to anonymous referee #2', Pan Liu, 08 Jun 2016
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AC2: 'Author's response to anonymous referee #2', Pan Liu, 08 Jun 2016


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RC1: 'Review for hess-2015-407: Identification of hydrological model parameters variation using ensemble Kalman filter', Anonymous Referee #1, 24 Mar 2016
-
AC1: 'Author's response to anonymous referee #1', Pan Liu, 08 Jun 2016
-
AC1: 'Author's response to anonymous referee #1', Pan Liu, 08 Jun 2016
-
RC2: 'Review of research article', Anonymous Referee #2, 31 May 2016
-
AC2: 'Author's response to anonymous referee #2', Pan Liu, 08 Jun 2016
-
AC2: 'Author's response to anonymous referee #2', Pan Liu, 08 Jun 2016
Chao Deng et al.
Chao Deng et al.
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