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Volumn 19, Issue 6, 2015, Pages 2911-2924

Operational aspects of asynchronous filtering for flood forecasting

Author keywords

[No Author keywords available]

Indexed keywords

CATCHMENTS; DIGITAL STORAGE; FLOOD CONTROL; FLOODS; MOISTURE; SOIL MOISTURE;

EID: 84932598928     PISSN: 10275606     EISSN: 16077938     Source Type: Journal    
DOI: 10.5194/hess-19-2911-2015     Document Type: Article
Times cited : (34)

References (56)
  • 1
    • 84919908930 scopus 로고    scopus 로고
    • The impacts of assimilating satellite soil moisture into a rainfall-runoff model in a semi-arid catchment
    • Alvarez-Garreton, C., Ryu, D., Western, A., Crow, W., and Robertson, D.: The impacts of assimilating satellite soil moisture into a rainfall-runoff model in a semi-arid catchment, J. Hydrol., 519, 2763-2774, doi:10.1016/j.jhydrol.2014.07.041, 2014.
    • (2014) J. Hydrol. , vol.519 , pp. 2763-2774
    • Alvarez-Garreton, C.1    Ryu, D.2    Western, A.3    Crow, W.4    Robertson, D.5
  • 2
    • 36148984281 scopus 로고    scopus 로고
    • A spatially distributed flash flood forecasting model
    • Blöschl, G., Reszler, C. R., and Komma, J.: A spatially distributed flash flood forecasting model, Environ. Model. Softw., 23, 464-478, 2008.
    • (2008) Environ. Model. Softw. , vol.23 , pp. 464-478
    • Blöschl, G.1    Reszler, C.R.2    Komma, J.3
  • 4
    • 84871438655 scopus 로고    scopus 로고
    • Evaluation of a nonparametric post-processor for bias correction and uncertainty estimation of hydrologic predictions
    • Brown, J. D. and Seo, D.-J.: Evaluation of a nonparametric post-processor for bias correction and uncertainty estimation of hydrologic predictions, Hydrol. Process., 27, 83-105, doi:10.1002/hyp.9263, 2013.
    • (2013) Hydrol. Process. , vol.27 , pp. 83-105
    • Brown, J.D.1    Seo, D.-J.2
  • 5
    • 77949571388 scopus 로고    scopus 로고
    • The Ensemble Verification System (EVS): A software tool for verifying ensemble forecasts of hydrometeorological and hydrologic variables at discrete locations
    • Brown, J. D., Demargne, J., Seo, D.-J., and Liu, Y.: The Ensemble Verification System (EVS): A software tool for verifying ensemble forecasts of hydrometeorological and hydrologic variables at discrete locations, Environ. Model. Softw., 25, 854-872, doi:10.1016/j.envsoft.2010.01.009, 2010.
    • (2010) Environ. Model. Softw. , vol.25 , pp. 854-872
    • Brown, J.D.1    Demargne, J.2    Seo, D.-J.3    Liu, Y.4
  • 7
    • 51349114551 scopus 로고    scopus 로고
    • Hydrological data assimilation with the ensemble Kalman filter: Use of streamflow observations to update states in a distributed hydrological model
    • Clark, M. P., Rupp, D. E., Woods, R. A., Zheng, X., Ibbitt, R. P., Slater, A. G., Schmidt, J., and Uddstrom, M. J.: Hydrological data assimilation with the ensemble Kalman filter: Use of streamflow observations to update states in a distributed hydrological model, Adv. Water Resour., 31, 1309-1324, doi:10.1016/j.advwatres.2008.06.005, 2008.
    • (2008) Adv. Water Resour. , vol.31 , pp. 1309-1324
    • Clark, M.P.1    Rupp, D.E.2    Woods, R.A.3    Zheng, X.4    Ibbitt, R.P.5    Slater, A.G.6    Schmidt, J.7    Uddstrom, M.J.8
  • 8
    • 75749144491 scopus 로고    scopus 로고
    • A new data assimilation approach for improving runoff prediction using remotely-sensed soil moisture retrievals
    • Crow, W. T. and Ryu, D.: A new data assimilation approach for improving runoff prediction using remotely-sensed soil moisture retrievals, Hydrol. Earth Syst. Sci., 13, 1-16, doi:10.5194/hess-13-1-2009, 2009.
    • (2009) Hydrol. Earth Syst. Sci. , vol.13 , pp. 1-16
    • Crow, W.T.1    Ryu, D.2
  • 10
    • 33644799027 scopus 로고    scopus 로고
    • Land surface state and flux estimation using the ensemble Kalman smoother during the Southern Great Plains 1997 field experiment
    • Dunne, S. and Entekhabi, D.: Land surface state and flux estimation using the ensemble Kalman smoother during the Southern Great Plains 1997 field experiment, Water Resour. Res., 42, 1-15, doi:10.1029/2005WR004334, 2006.
    • (2006) Water Resour. Res. , vol.42 , pp. 1-15
    • Dunne, S.1    Entekhabi, D.2
  • 11
    • 0028193070 scopus 로고
    • Sequential data assimilation with a nonlinear quasi-geostrophic model using Monte Carlo methods to forecast error statistics
    • Evensen, G.: Sequential data assimilation with a nonlinear quasi-geostrophic model using Monte Carlo methods to forecast error statistics, J. Geophys. Res., 99, 10143-10162, 1994.
    • (1994) J. Geophys. Res. , vol.99 , pp. 10143-10162
    • Evensen, G.1
  • 12
    • 84884550570 scopus 로고    scopus 로고
    • The Ensemble Kalman Filter: Theoretical formulation and practical implementation
    • Evensen, G.: The Ensemble Kalman Filter: theoretical formulation and practical implementation, Ocean Dynam., 53, 343-367, 2003.
    • (2003) Ocean Dynam. , vol.53 , pp. 343-367
    • Evensen, G.1
  • 14
    • 0033942436 scopus 로고    scopus 로고
    • An ensemble Kalman smoother for nonlinear dynamics
    • Evensen, G. and Van Leeuwen, P.: An ensemble Kalman smoother for nonlinear dynamics, Mon. Weather Rev., 128, 1852-1867, 2000.
    • (2000) Mon. Weather Rev. , vol.128 , pp. 1852-1867
    • Evensen, G.1    Van Leeuwen, P.2
  • 15
    • 79851479216 scopus 로고    scopus 로고
    • Radar rainfall estimation of stratiform winter precipitation in the Belgian Ardennes
    • Hazenberg, P., Leijnse, H., and Uijlenhoet, R.: Radar rainfall estimation of stratiform winter precipitation in the Belgian Ardennes, Water Resour. Res., 47, 1-15, doi:10.1029/2010WR009068, 2011.
    • (2011) Water Resour. Res. , vol.47 , pp. 1-15
    • Hazenberg, P.1    Leijnse, H.2    Uijlenhoet, R.3
  • 16
    • 0035129828 scopus 로고    scopus 로고
    • A sequential ensemble Kalman filter for atmospheric data assimilation
    • Houtekamer, P. L. and Mitchell, H. L.: A sequential ensemble Kalman filter for atmospheric data assimilation, Mon. Weather Rev., 129, 123-137, 2001.
    • (2001) Mon. Weather Rev. , vol.129 , pp. 123-137
    • Houtekamer, P.L.1    Mitchell, H.L.2
  • 17
    • 72549104394 scopus 로고    scopus 로고
    • A software framework for construction of process-based stochastic spatio-temporal models and data assimilation
    • Karssenberg, D., Schmitz, O., Salamon, P., De Jong, C., and Bierkens, M. F. P.: A software framework for construction of process-based stochastic spatio-temporal models and data assimilation, Environ. Model. Softw., 25, 1-14, doi:10.1016/j.envsoft.2009.10.004, 2009.
    • (2009) Environ. Model. Softw. , vol.25 , pp. 1-14
    • Karssenberg, D.1    Schmitz, O.2    Salamon, P.3    De Jong, C.4    Bierkens, M.F.P.5
  • 18
    • 47049102207 scopus 로고    scopus 로고
    • Soil moisture updating by ensemble Kalman filtering in real-time flood forecasting
    • Komma, J., Blöschl, G., and Reszler, C.: Soil moisture updating by ensemble Kalman filtering in real-time flood forecasting, J. Hydrol., 357, 228-242, doi:10.1016/j.jhydrol.2008.05.020, 2008.
    • (2008) J. Hydrol. , vol.357 , pp. 228-242
    • Komma, J.1    Blöschl, G.2    Reszler, C.3
  • 19
    • 80054734805 scopus 로고    scopus 로고
    • Assimilation of streamflow and in situ soil moisture data into operational distributed hydrologic models: Effects of uncertainties in the data and initial model soil moisture states
    • Lee, H., Seo, D.-J., and Koren, V.: Assimilation of streamflow and in situ soil moisture data into operational distributed hydrologic models: Effects of uncertainties in the data and initial model soil moisture states, Adv. Water Resour., 34, 1597-1615, doi:10.1016/j.advwatres.2011.08.012, 2011.
    • (2011) Adv. Water Resour. , vol.34 , pp. 1597-1615
    • Lee, H.1    Seo, D.-J.2    Koren, V.3
  • 20
    • 84877997332 scopus 로고    scopus 로고
    • Assimilation of stream discharge for flood forecasting: The benefits of accounting for routing time lags
    • Li, Y., Ryu, D., Western, A. W., and Wang, Q. J.: Assimilation of stream discharge for flood forecasting: The benefits of accounting for routing time lags, Water Resour. Res., 49, 1887-1900, doi:10.1002/wrcr.20169, 2013.
    • (2013) Water Resour. Res. , vol.49 , pp. 1887-1900
    • Li, Y.1    Ryu, D.2    Western, A.W.3    Wang, Q.J.4
  • 22
    • 36648998731 scopus 로고    scopus 로고
    • Uncertainty in hydrologic modeling: Toward an integrated data assimilation framework
    • Liu, Y. and Gupta, H. V.: Uncertainty in hydrologic modeling: Toward an integrated data assimilation framework, Water Resour. Res., 43, 1-19, doi:10.1029/2006WR005756, 2007.
    • (2007) Water Resour. Res. , vol.43 , pp. 1-19
    • Liu, Y.1    Gupta, H.V.2
  • 25
    • 33846362488 scopus 로고    scopus 로고
    • The PDM rainfall-runoff model
    • Moore, R. J.: The PDM rainfall-runoff model, Hydrol. Earth Syst. Sci., 11, 483-499, doi:10.5194/hess-11-483-2007, 2007.
    • (2007) Hydrol. Earth Syst. Sci. , vol.11 , pp. 483-499
    • Moore, R.J.1
  • 26
    • 20844449766 scopus 로고    scopus 로고
    • Uncertainty assessment of hydrologic model states and parameters: Sequential data assimilation using the particle filter
    • Moradkhani, H., Hsu, K. L., Gupta, H., and Sorooshian, S.: Uncertainty assessment of hydrologic model states and parameters: Sequential data assimilation using the particle filter, Water Resour. Res., 41, 1-17, 2005a.
    • (2005) Water Resour. Res. , vol.41 , pp. 1-17
    • Moradkhani, H.1    Hsu, K.L.2    Gupta, H.3    Sorooshian, S.4
  • 27
    • 11944268965 scopus 로고    scopus 로고
    • Dual state-parameter estimation of hydrological models using ensemble Kalman filter
    • Moradkhani, H., Sorooshian, S., Gupta, H., and Houser, P. R.: Dual state-parameter estimation of hydrological models using ensemble Kalman filter, Adv. Water Resour., 28, 135-147, 2005b.
    • (2005) Adv. Water Resour. , vol.28 , pp. 135-147
    • Moradkhani, H.1    Sorooshian, S.2    Gupta, H.3    Houser, P.R.4
  • 28
    • 80055040864 scopus 로고    scopus 로고
    • Applying sequential Monte Carlo methods into a distributed hydrologic model: Lagged particle filtering approach with regularization
    • Noh, S., Tachikawa, Y., Shiiba, M., and Kim, S.: Applying sequential Monte Carlo methods into a distributed hydrologic model: Lagged particle filtering approach with regularization, Hydrol. Earth Syst. Sci., 15, 3237-3251, doi:10.5194/hess-15-3237-2011, 2011a.
    • (2011) Hydrol. Earth Syst. Sci. , vol.15 , pp. 3237-3251
    • Noh, S.1    Tachikawa, Y.2    Shiiba, M.3    Kim, S.4
  • 29
    • 84888030827 scopus 로고    scopus 로고
    • Dual state-parameter updating scheme on a conceptual hydrologic model using sequential Monte Carlo filters
    • Noh, S. J., Tachikawa, Y., Shiiba, M., and Kim, S.: Dual state-parameter updating scheme on a conceptual hydrologic model using sequential Monte Carlo filters, J. Jpn. Soc. Civ. Eng. Ser. B1, 67, I1-I6, 2011b.
    • (2011) J. Jpn. Soc. Civ. Eng. Ser. B1 , vol.67 , pp. I1-I6
    • Noh, S.J.1    Tachikawa, Y.2    Shiiba, M.3    Kim, S.4
  • 30
    • 84919926270 scopus 로고    scopus 로고
    • On noise specification in data assimilation schemes for improved flood forecasting using distributed hydrological models
    • Noh, S. J., Rakovec, O., Weerts, A. H., and Tachikawa, Y.: On noise specification in data assimilation schemes for improved flood forecasting using distributed hydrological models, J. Hydrol., 519, 2707-2721, doi:10.1016/j.jhydrol.2014.07.049, 2014.
    • (2014) J. Hydrol. , vol.519 , pp. 2707-2721
    • Noh, S.J.1    Rakovec, O.2    Weerts, A.H.3    Tachikawa, Y.4
  • 32
    • 84932641402 scopus 로고    scopus 로고
    • last access: 1 November 2014
    • OpenStreams: OpenStreams, http://www.openstreams.nl, last access: 1 November 2014.
    • OpenStreams
  • 33
    • 84888087110 scopus 로고    scopus 로고
    • Inverse streamflow routing
    • Pan, M. and Wood, E. F.: Inverse streamflow routing, Hydrol. Earth Syst. Sci., 17, 4577-4588, doi:10.5194/hess-17-4577-2013, 2013.
    • (2013) Hydrol. Earth Syst. Sci. , vol.17 , pp. 4577-4588
    • Pan, M.1    Wood, E.F.2
  • 34
    • 33746057469 scopus 로고    scopus 로고
    • Improvement of modeled soil wetness conditions and turbulent fluxes through the assimilation of observed discharge
    • Pauwels, V. R. N. and De Lannoy, G. J. M.: Improvement of modeled soil wetness conditions and turbulent fluxes through the assimilation of observed discharge, J. Hydrometeorol., 7, 458-477, doi:10.1175/JHM490.1, 2006.
    • (2006) J. Hydrometeorol. , vol.7 , pp. 458-477
    • Pauwels, V.R.N.1    De Lannoy, G.J.M.2
  • 35
    • 70349775667 scopus 로고    scopus 로고
    • Ensemble-based assimilation of discharge into rainfall-runoff models: A comparison of approaches to mapping observational information to state space
    • Pauwels, V. R. N. and De Lannoy, G. J. M.: Ensemble-based assimilation of discharge into rainfall-runoff models: A comparison of approaches to mapping observational information to state space, Water Resour. Res., 45, 1-17, doi:10.1029/2008WR007590, 2009.
    • (2009) Water Resour. Res. , vol.45 , pp. 1-17
    • Pauwels, V.R.N.1    De Lannoy, G.J.M.2
  • 36
    • 84882757228 scopus 로고    scopus 로고
    • Simultaneous estimation of model state variables and observation and forecast biases using a two-stage hybrid Kalman filter
    • Pauwels, V. R. N., De Lannoy, G. J. M., Hendricks Franssen, H.- J., and Vereecken, H.: Simultaneous estimation of model state variables and observation and forecast biases using a two-stage hybrid Kalman filter, Hydrol. Earth Syst. Sci., 17, 3499-3521, doi:10.5194/hess-17-3499-2013, 2013.
    • (2013) Hydrol. Earth Syst. Sci. , vol.17 , pp. 3499-3521
    • Pauwels, V.R.N.1    De Lannoy, G.J.M.2    Hendricks Franssen, H.-J.3    Vereecken, H.4
  • 38
    • 84919949806 scopus 로고    scopus 로고
    • Comparative evaluation of Maximum Likelihood Ensemble Filter and Ensemble Kalman Filter for real-time assimilation of streamflow data into operational hydrologic models
    • Rafieeinasab, A., Seo, D.-J., Lee, H., and Kim, S.: Comparative evaluation of Maximum Likelihood Ensemble Filter and Ensemble Kalman Filter for real-time assimilation of streamflow data into operational hydrologic models, J. Hydrol., 519, 2663-2675, doi:10.1016/j.jhydrol.2014.06.052, 2014.
    • (2014) J. Hydrol. , vol.519 , pp. 2663-2675
    • Rafieeinasab, A.1    Seo, D.-J.2    Lee, H.3    Kim, S.4
  • 39
    • 84869476804 scopus 로고    scopus 로고
    • Generating spatial precipitation ensembles: Impact of temporal correlation structure
    • Rakovec, O., Hazenberg, P., Torfs, P. J. J. F., Weerts, A. H., and Uijlenhoet, R.: Generating spatial precipitation ensembles: impact of temporal correlation structure, Hydrol. Earth Syst. Sci., 16, 3419-3434, doi:10.5194/hess-16-3419-2012, 2012a.
    • (2012) Hydrol. Earth Syst. Sci. , vol.16 , pp. 3419-3434
    • Rakovec, O.1    Hazenberg, P.2    Torfs, P.J.J.F.3    Weerts, A.H.4    Uijlenhoet, R.5
  • 40
    • 84869413754 scopus 로고    scopus 로고
    • State updating of a distributed hydrological model with Ensemble Kalman Filtering: Effects of updating frequency and observation network density on forecast accuracy
    • Rakovec, O., Weerts, A. H., Hazenberg, P., Torfs, P. J. J. F., and Uijlenhoet, R.: State updating of a distributed hydrological model with Ensemble Kalman Filtering: effects of updating frequency and observation network density on forecast accuracy, Hydrol. Earth Syst. Sci., 16, 3435-3449, doi:10.5194/hess-16-3435-2012, 2012b.
    • (2012) Hydrol. Earth Syst. Sci. , vol.16 , pp. 3435-3449
    • Rakovec, O.1    Weerts, A.H.2    Hazenberg, P.3    Torfs, P.J.J.F.4    Uijlenhoet, R.5
  • 41
    • 54949158157 scopus 로고    scopus 로고
    • Data assimilation methods in the Earth sciences
    • Reichle, R. H.: Data assimilation methods in the Earth sciences, Adv. Water Resour., 31, 1411-1418, doi:10.1016/j.advwatres.2008.01.001, 2008.
    • (2008) Adv. Water Resour. , vol.31 , pp. 1411-1418
    • Reichle, R.H.1
  • 42
    • 84901508142 scopus 로고    scopus 로고
    • Data assimilation framework: Linking an open data assimilation library (OpenDA) to a widely adopted model interface (OpenMI)
    • Ridler, M. E., van Velzen, N., Hummel, S., Sandholt, I., Falk, A. K., Heemink, A., and Madsen, H.: Data assimilation framework: Linking an open data assimilation library (OpenDA) to a widely adopted model interface (OpenMI), Environ. Model. Softw., 57, 76-89, doi:10.1016/j.envsoft.2014.02.008, 2014.
    • (2014) Environ. Model. Softw. , vol.57 , pp. 76-89
    • Ridler, M.E.1    Van Velzen, N.2    Hummel, S.3    Sandholt, I.4    Falk, A.K.5    Heemink, A.6    Madsen, H.7
  • 43
    • 77249119807 scopus 로고    scopus 로고
    • Asynchronous data assimilation with the EnKF
    • Sakov, P., Evensen, G., and Bertino, L.: Asynchronous data assimilation with the EnKF, Tellus A, 62, 24-29, doi:10.1111/j.1600-0870.2009.00417.x, 2010.
    • (2010) Tellus A , vol.62 , pp. 24-29
    • Sakov, P.1    Evensen, G.2    Bertino, L.3
  • 44
    • 70249132985 scopus 로고    scopus 로고
    • Assessing parameter, precipitation, and predictive uncertainty in a distributed hydrological model using sequential data assimilation with the particle filter
    • Salamon, P. and Feyen, L.: Assessing parameter, precipitation, and predictive uncertainty in a distributed hydrological model using sequential data assimilation with the particle filter, J. Hydrol., 376, 428-442, 2009.
    • (2009) J. Hydrol. , vol.376 , pp. 428-442
    • Salamon, P.1    Feyen, L.2
  • 45
    • 77958469126 scopus 로고    scopus 로고
    • Catchments as simple dynamical systems: Experience from a Swiss prealpine catchment
    • Teuling, A., Lehner, I., Kirchner, J., and Seneviratne, S.: Catchments as simple dynamical systems: Experience from a Swiss prealpine catchment, Water Resour. Res., 46, 1-15, doi:10.1029/2009WR008777, 2010.
    • (2010) Water Resour. Res. , vol.46 , pp. 1-15
    • Teuling, A.1    Lehner, I.2    Kirchner, J.3    Seneviratne, S.4
  • 46
    • 84869437619 scopus 로고    scopus 로고
    • Tech. rep., Rapportage aan RIZA, Carthago Consultancy, Rotterdam, the Netherlands
    • van Deursen, W.: Afregelen HBV model Maasstroomgebied, Tech. rep., Rapportage aan RIZA, Carthago Consultancy, Rotterdam, the Netherlands, 2004.
    • (2004) Afregelen HBV Model Maasstroomgebied
    • Van Deursen, W.1
  • 47
    • 84882956988 scopus 로고    scopus 로고
    • Post-processing ECMWF precipitation and temperature ensemble reforecasts for operational hydrologic forecasting at various spatial scales
    • Verkade, J. S., Brown, J. D., Reggiani, P., and Weerts, A. H.: Post-processing ECMWF precipitation and temperature ensemble reforecasts for operational hydrologic forecasting at various spatial scales, J. Hydrol., 501, 73-91, doi:10.1016/j.jhydrol.2013.07.039, 2013.
    • (2013) J. Hydrol. , vol.501 , pp. 73-91
    • Verkade, J.S.1    Brown, J.D.2    Reggiani, P.3    Weerts, A.H.4
  • 48
    • 33847624077 scopus 로고    scopus 로고
    • Treatment of uncertainty using ensemble methods: Comparison of sequential data assimilation and Bayesian model averaging
    • Vrugt, J. A. and Robinson, B. A.: Treatment of uncertainty using ensemble methods: Comparison of sequential data assimilation and Bayesian model averaging, Water Resour. Res., 43, 1-15, doi:10.1029/2005WR004838, 2007.
    • (2007) Water Resour. Res. , vol.43 , pp. 1-15
    • Vrugt, J.A.1    Robinson, B.A.2
  • 49
    • 84906294694 scopus 로고    scopus 로고
    • The benefits of using remotely sensed soil moisture in parameter identification of large-scale hydrological models
    • Wanders, N., Bierkens, M. F. P., de Jong, S. M., de Roo, A., and Karssenberg, D.: The benefits of using remotely sensed soil moisture in parameter identification of large-scale hydrological models, Water Resour. Res., 50, 6874-6891, doi:10.1002/2013WR014639, 2014a.
    • (2014) Water Resour. Res. , vol.50 , pp. 6874-6891
    • Wanders, N.1    Bierkens, M.F.P.2    De Jong, S.M.3    De Roo, A.4    Karssenberg, D.5
  • 50
    • 84903280934 scopus 로고    scopus 로고
    • The suitability of remotely sensed soil moisture for improving operational flood forecasting
    • Wanders, N., Karssenberg, D., de Roo, A., de Jong, S. M., and Bierkens, M. F. P.: The suitability of remotely sensed soil moisture for improving operational flood forecasting, Hydrol. Earth Syst. Sci., 18, 2343-2357, doi:10.5194/hess-18-2343-2014, 2014b.
    • (2014) Hydrol. Earth Syst. Sci. , vol.18 , pp. 2343-2357
    • Wanders, N.1    Karssenberg, D.2    De Roo, A.3    De Jong, S.M.4    Bierkens, M.F.P.5
  • 51
    • 33750368306 scopus 로고    scopus 로고
    • Particle filtering and ensemble Kalman filtering for state updating with hydrological conceptual rainfall-runoff models
    • Weerts, A. H. and El Serafy, G. Y. H.: Particle filtering and ensemble Kalman filtering for state updating with hydrological conceptual rainfall-runoff models, Water Resour. Res., 42, 1-17, doi:10.1029/2005WR004093, 2006.
    • (2006) Water Resour. Res. , vol.42 , pp. 1-17
    • Weerts, A.H.1    El Serafy, G.Y.H.2
  • 54
    • 84887507929 scopus 로고    scopus 로고
    • A partitioned update scheme for state-parameter estimation of distributed hydrologic models based on the ensemble Kalman filter
    • Xie, X. and Zhang, D.: A partitioned update scheme for state-parameter estimation of distributed hydrologic models based on the ensemble Kalman filter, Water Resour. Res., 49, 7350-7365, doi:10.1002/2012WR012853, 2013.
    • (2013) Water Resour. Res. , vol.49 , pp. 7350-7365
    • Xie, X.1    Zhang, D.2
  • 55
    • 33747775838 scopus 로고    scopus 로고
    • Assessing the performance of the ensemble Kalman filter for land surface data assimilation
    • Zhou, Y., McLaughlin, D., and Entekhabi, D.: Assessing the performance of the ensemble Kalman filter for land surface data assimilation, Mon. Weather Rev., 134, 2128-2142, 2006.
    • (2006) Mon. Weather Rev. , vol.134 , pp. 2128-2142
    • Zhou, Y.1    McLaughlin, D.2    Entekhabi, D.3
  • 56
    • 24944523803 scopus 로고    scopus 로고
    • Maximum Likelihood Ensemble Filter: Theoretical Aspects
    • Zupanski, M.: Maximum Likelihood Ensemble Filter: Theoretical Aspects, Mon. Weather Rev., 133, 1710-1726, doi:10.1175/MWR2946.1, 2005.
    • (2005) Mon. Weather Rev. , vol.133 , pp. 1710-1726
    • Zupanski, M.1


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