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Volumn 57, Issue 4, 2014, Pages 824-838

Simultaneous estimation of soil moisture and hydraulic parameters using residual resampling particle filter

Author keywords

data assimilation; hydraulic parameter; microwave brightness temperature; residual resampling particle filter; soil moisture

Indexed keywords

ATMOSPHERIC HUMIDITY; COMPUTER SIMULATION; DATA PROCESSING; ESTIMATION; EXPERIMENTS; MONTE CARLO METHODS; SOIL MOISTURE; TEMPERATURE; UNCERTAINTY ANALYSIS;

EID: 84897570265     PISSN: 16747313     EISSN: None     Source Type: Journal    
DOI: 10.1007/s11430-013-4742-y     Document Type: Article
Times cited : (12)

References (43)
  • 1
    • 0018004518 scopus 로고
    • Empirical equations for some hydraulic properties
    • Clapp R B, Hornberger G M. 1978. Empirical equations for some hydraulic properties. Water Resour Res, 14: 601-604.
    • (1978) Water Resour Res , vol.14 , pp. 601-604
    • Clapp, R.B.1    Hornberger, G.M.2
  • 2
    • 0021639956 scopus 로고
    • A statistical exploration of the relationships of soil moisture characteristics to the physical properties of soils
    • Cosby B J, Hornberger G M, Clapp R B. 1984. A statistical exploration of the relationships of soil moisture characteristics to the physical properties of soils. Water Resour Res, 20: 682-690.
    • (1984) Water Resour Res , vol.20 , pp. 682-690
    • Cosby, B.J.1    Hornberger, G.M.2    Clapp, R.B.3
  • 3
    • 84858807931 scopus 로고    scopus 로고
    • Examining the effectiveness and robustness of sequential data assimilation methods for quantification of uncertainty in hydrologic forecasting
    • Dechant C M, Moradkhani H. 2012. Examining the effectiveness and robustness of sequential data assimilation methods for quantification of uncertainty in hydrologic forecasting. Water Resour Res, 48: W4518, doi: 1029/2011WR011011.
    • (2012) Water Resour Res , vol.48
    • Dechant, C.M.1    Moradkhani, H.2
  • 4
    • 0021786146 scopus 로고
    • Microwave dielectric behavior of wet soil-Part II: Dielectric mixing models
    • Dobson M C, Ulaby F T, Hallikainen M T, et al. 1985. Microwave dielectric behavior of wet soil-Part II: Dielectric mixing models. IEEE Trans Geosci Remote Sens, 23: 35-46.
    • (1985) IEEE Trans Geosci Remote Sens , vol.23 , pp. 35-46
    • Dobson, M.C.1    Ulaby, F.T.2    Hallikainen, M.T.3
  • 5
    • 33746863594 scopus 로고    scopus 로고
    • Comparison of resampling schemes for particle filtering
    • Douc R, Cappe O, Moulines E. 2005. Comparison of resampling schemes for particle filtering. Proc ISPA05, 64-69.
    • (2005) Proc ISPA05 , pp. 64-69
    • Douc, R.1    Cappe, O.2    Moulines, E.3
  • 7
    • 78649432016 scopus 로고    scopus 로고
    • Some leading problems of remote sensing science and technology (in Chinese)
    • Gong P. 2009. Some leading problems of remote sensing science and technology (in Chinese). J Remote Sens, 13: 13-23.
    • (2009) J Remote Sens , vol.13 , pp. 13-23
    • Gong, P.1
  • 8
    • 0027580559 scopus 로고
    • Novel approach to nonlinear/non-Gaussian Bayesian state estimation
    • Gordon N J, Salmond D J, Smith A F M. 1993. Novel approach to nonlinear/non-Gaussian Bayesian state estimation. Proc Inst Electr Eng, 140: 107-113.
    • (1993) Proc Inst Electr Eng , vol.140 , pp. 107-113
    • Gordon, N.J.1    Salmond, D.J.2    Smith, A.F.M.3
  • 9
    • 0033792589 scopus 로고    scopus 로고
    • A hybrid ensemble kalman filter-3D variational analysis scheme
    • Hamii T M, Snyder C. 2000. A hybrid ensemble kalman filter-3D variational analysis scheme. Mon Weather Rev, 128: 2905-2919.
    • (2000) Mon Weather Rev , vol.128 , pp. 2905-2919
    • Hamii, T.M.1    Snyder, C.2
  • 10
    • 0034777201 scopus 로고    scopus 로고
    • Probabilistic noise reduction
    • Hansen J A, Smith L A. 2001. Probabilistic noise reduction. Tellus, Ser (A), 53: 585-598.
    • (2001) Tellus, Ser (A) , vol.53 , pp. 585-598
    • Hansen, J.A.1    Smith, L.A.2
  • 11
    • 34250837557 scopus 로고
    • Passive microwave remote sensing system for soil moisture: Some supporting research
    • Jackson T J, Schmugge T J. 1989. Passive microwave remote sensing system for soil moisture: Some supporting research. IEEE Trans Geosci Remote Sens, 27: 225-235.
    • (1989) IEEE Trans Geosci Remote Sens , vol.27 , pp. 225-235
    • Jackson, T.J.1    Schmugge, T.J.2
  • 12
    • 0000047587 scopus 로고
    • Vegetation effects on the microwave emission of soils
    • Jackson T J, Schmugge T J. 1991. Vegetation effects on the microwave emission of soils. Remote Sens Environ, 36: 203-212.
    • (1991) Remote Sens Environ , vol.36 , pp. 203-212
    • Jackson, T.J.1    Schmugge, T.J.2
  • 13
    • 71949111731 scopus 로고    scopus 로고
    • A soil moisture scheme based on the ensemble Kalman filter using microwave brightness temperature
    • Jia B H, Xie Z H, Tian X J, et al. 2009. A soil moisture scheme based on the ensemble Kalman filter using microwave brightness temperature. Sci China Ser D-Earth Sci, 52: 1835-1848.
    • (2009) Sci China Ser D-Earth Sci , vol.52 , pp. 1835-1848
    • Jia, B.H.1    Xie, Z.H.2    Tian, X.J.3
  • 14
    • 84870255455 scopus 로고    scopus 로고
    • A Bayesian filter framework for sequential data assimilation (in Chinese)
    • Li X, Bai Y L. 2010. A Bayesian filter framework for sequential data assimilation (in Chinese). Adv Earth Sci, 25: 515-522.
    • (2010) Adv Earth Sci , vol.25 , pp. 515-522
    • Li, X.1    Bai, Y.L.2
  • 15
    • 33846782241 scopus 로고    scopus 로고
    • Data assimilation: A new means for multi-source geospatial data integration (in Chinese)
    • Li X, Huang C L. 2004. Data assimilation: A new means for multi-source geospatial data integration (in Chinese). Sci Tech Rev, 12: 13-16.
    • (2004) Sci Tech Rev , vol.12 , pp. 13-16
    • Li, X.1    Huang, C.L.2
  • 16
    • 0028602239 scopus 로고
    • A simple hydrologically based model of land surface water and energy fluxes for general circulation models
    • Liang X, Lettenmaier D P, Wood E F, et al. 1994. A simple hydrologically based model of land surface water and energy fluxes for general circulation models. J Geophys Res, 99: 14415-14428.
    • (1994) J Geophys Res , vol.99 , pp. 14415-14428
    • Liang, X.1    Lettenmaier, D.P.2    Wood, E.F.3
  • 17
    • 0030390088 scopus 로고    scopus 로고
    • One-dimensional statistical dynamic representation of subgrid spatial variability of precipitation in the two-layer variable infiltration capacity model
    • Liang X, Lettenmaier D P, Wood E F. 1996. One-dimensional statistical dynamic representation of subgrid spatial variability of precipitation in the two-layer variable infiltration capacity model. J Geophys Res, 101: 21403-21422.
    • (1996) J Geophys Res , vol.101 , pp. 21403-21422
    • Liang, X.1    Lettenmaier, D.P.2    Wood, E.F.3
  • 19
    • 84897574366 scopus 로고    scopus 로고
    • Recent advances and development of data assimilation algorithms (in Chinese)
    • Ma J W, Qin S X. 2012. Recent advances and development of data assimilation algorithms (in Chinese). Adv Earth Sci, 27: 747-757.
    • (2012) Adv Earth Sci , vol.27 , pp. 747-757
    • Ma, J.W.1    Qin, S.X.2
  • 20
    • 34848889698 scopus 로고    scopus 로고
    • Dynamic calibration with an ensemble Kalman filter based data assimilation approach for root-zone moisture predictions
    • Montaldo N, Albertson J D, Mancini M. 2007. Dynamic calibration with an ensemble Kalman filter based data assimilation approach for root-zone moisture predictions. J Hydrometeorol, 8: 910-921.
    • (2007) J Hydrometeorol , vol.8 , pp. 910-921
    • Montaldo, N.1    Albertson, J.D.2    Mancini, M.3
  • 21
    • 79951977683 scopus 로고    scopus 로고
    • Hydraulic parameter estimation by remotely-sensed top soil moisture observations with the particle filter
    • Montzka C, Moradkhani H, Weihermuller L, et al. 2011. Hydraulic parameter estimation by remotely-sensed top soil moisture observations with the particle filter. J Hydrol, 399: 410-421.
    • (2011) J Hydrol , vol.399 , pp. 410-421
    • Montzka, C.1    Moradkhani, H.2    Weihermuller, L.3
  • 22
    • 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, et al. 2005a. Uncertainty assessment of hydrologic model states and parameters: Sequential data assimilation using the particle filter. Water Resour Res, 41: W05012, doi: 10. 1029/2004WR003604.
    • (2005) Water Resour Res , vol.41
    • Moradkhani, H.1    Hsu, K.L.2    Gupta, H.3
  • 23
    • 11944268965 scopus 로고    scopus 로고
    • Dual state-parameter estimation of hydrological models using ensemble Kalman filter
    • Moradkhani H, Sorooshian S, Gupta H V, et al. 2005b. Dual state-parameter estimation of hydrological models using ensemble Kalman filter. Adv Water Res, 28: 135-147.
    • (2005) Adv Water Res , vol.28 , pp. 135-147
    • Moradkhani, H.1    Sorooshian, S.2    Gupta, H.V.3
  • 24
    • 79952184589 scopus 로고    scopus 로고
    • Particle filter-based assimilation algorithms for improved estimation of root-zone soil moisture under dynamic vegetation conditions
    • Nagarajan K, Judge J, Graham W D, et al. 2011. Particle filter-based assimilation algorithms for improved estimation of root-zone soil moisture under dynamic vegetation conditions. Adv Water Res, 34: 433-447.
    • (2011) Adv Water Res , vol.34 , pp. 433-447
    • Nagarajan, K.1    Judge, J.2    Graham, W.D.3
  • 25
    • 79961238018 scopus 로고    scopus 로고
    • Simultaneous estimation of land surface scheme states and parameters using the ensemble Kalman filter: Identical twin experiments
    • Nie S, Zhu J, Luo Y. 2011. Simultaneous estimation of land surface scheme states and parameters using the ensemble Kalman filter: Identical twin experiments. Hydrol Earth Syst Sci, 15: 2437-2457.
    • (2011) Hydrol Earth Syst Sci , vol.15 , pp. 2437-2457
    • Nie, S.1    Zhu, J.2    Luo, Y.3
  • 27
    • 80055040864 scopus 로고    scopus 로고
    • Applying sequential Monte Carlo methods into a distributed hydrologic model: Lagged particle fil tering approach with regularization
    • Noh S J, Tachikawa Y, Shiiba M, et al. 2011. Applying sequential Monte Carlo methods into a distributed hydrologic model: Lagged particle fil tering approach with regularization. Hydrol Earth Syst Sci, 15: 3237-3251.
    • (2011) Hydrol Earth Syst Sci , vol.15 , pp. 3237-3251
    • Noh, S.J.1    Tachikawa, Y.2    Shiiba, M.3
  • 28
    • 0035445587 scopus 로고    scopus 로고
    • A methodology for surface soil moisture and vegetation optical depth retireval using the microwave polarization difference index
    • Owe M, De Jeu R, Walker J. 2001. A methodology for surface soil moisture and vegetation optical depth retireval using the microwave polarization difference index. IEEE Trans Geosci Remote Sens, 39: 1643-1654.
    • (2001) IEEE Trans Geosci Remote Sens , vol.39 , pp. 1643-1654
    • Owe, M.1    De Jeu, R.2    Walker, J.3
  • 29
    • 77649163321 scopus 로고    scopus 로고
    • Impact of accuracy, spatial availability, and revisit time of satellite-derived surface soil moisture in a multiscale ensemble data assimilation system
    • Pan M, Wood E F. 2010. Impact of accuracy, spatial availability, and revisit time of satellite-derived surface soil moisture in a multiscale ensemble data assimilation system. IEEE J Sel Top Appl Earth Observ Remote Sens, 3: 49-56.
    • (2010) IEEE J Sel Top Appl Earth Observ Remote Sens , vol.3 , pp. 49-56
    • Pan, M.1    Wood, E.F.2
  • 30
    • 84856961948 scopus 로고    scopus 로고
    • The importance of parameter resampling for soil moisture data assimilation into hydrologic models using the particle filter
    • Plaza D A, De Keyser R, De Lannoy G J M, et al. 2012. The importance of parameter resampling for soil moisture data assimilation into hydrologic models using the particle filter. Hydrol Earth Syst Sci, 16: 375-390.
    • (2012) Hydrol Earth Syst Sci , vol.16 , pp. 375-390
    • Plaza, D.A.1    De Keyser, R.2    De Lannoy, G.J.M.3
  • 31
    • 70350074473 scopus 로고    scopus 로고
    • Simultaneous estimation of both soil moisture and model parameters using particle filtering method through the assimilation of microwave signal
    • Qin J, Liang S L, Yang K, et al. 2009. Simultaneous estimation of both soil moisture and model parameters using particle filtering method through the assimilation of microwave signal. J Geophys Res, 114: D15103, doi: 10. 1029/2008JD011358.
    • (2009) J Geophys Res , vol.114
    • Qin, J.1    Liang, S.L.2    Yang, K.3
  • 32
    • 77949711985 scopus 로고    scopus 로고
    • Coupled hydrogeophysical parameter estimation using a sequential Bayesian approach
    • Rings J, Huisman J A, Vereecken H. 2010. Coupled hydrogeophysical parameter estimation using a sequential Bayesian approach. Hydrol Earth Syst Sci, 14: 545-556.
    • (2010) Hydrol Earth Syst Sci , vol.14 , pp. 545-556
    • Rings, J.1    Huisman, J.A.2    Vereecken, H.3
  • 33
    • 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, Feyen L. 2009. 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) J Hydrol , vol.376 , pp. 428-442
    • Salamon, P.1    Feyen, L.2
  • 34
    • 80052261679 scopus 로고    scopus 로고
    • China land soil moisture EnKF data assimilation based on satellite remote sensing data
    • Shi C X, Xie Z H, Qian H, et al. 2011. China land soil moisture EnKF data assimilation based on satellite remote sensing data. Sci China Earth Sci, 54: 1430-1440.
    • (2011) Sci China Earth Sci , vol.54 , pp. 1430-1440
    • Shi, C.X.1    Xie, Z.H.2    Qian, H.3
  • 35
    • 29044444333 scopus 로고    scopus 로고
    • A parameterized multifrequency-polarization surface emission model
    • Shi J C, Jiang L M, Zhang L X, et al. 2005. A parameterized multifrequency-polarization surface emission model. IEEE Trans Geosci Remote Sens, 43: 2831-2841.
    • (2005) IEEE Trans Geosci Remote Sens , vol.43 , pp. 2831-2841
    • Shi, J.C.1    Jiang, L.M.2    Zhang, L.X.3
  • 36
    • 84905092634 scopus 로고    scopus 로고
    • Application and improvement of an adaptive ensemble Kalman filter for soil moisture data assimilation
    • Shi X K, Wen J, Liu J W, et al. 2010. Application and improvement of an adaptive ensemble Kalman filter for soil moisture data assimilation. Sci China Earth Sci, 53: 1700-1708.
    • (2010) Sci China Earth Sci , vol.53 , pp. 1700-1708
    • Shi, X.K.1    Wen, J.2    Liu, J.W.3
  • 37
    • 79960492395 scopus 로고    scopus 로고
    • The Tibetan Plateau observatory of plateau scale soil moisture and soil temperature (Tibet-Obs) for quantifying uncertainties in coarse resolution satellite and model products
    • Su Z, Wen J, Dente L, et al. 2011. The Tibetan Plateau observatory of plateau scale soil moisture and soil temperature (Tibet-Obs) for quantifying uncertainties in coarse resolution satellite and model products. Hydrol Earth Syst Sci, 15: 2303-2316.
    • (2011) Hydrol Earth Syst Sci , vol.15 , pp. 2303-2316
    • Su, Z.1    Wen, J.2    Dente, L.3
  • 38
    • 71949107809 scopus 로고    scopus 로고
    • A dual-pass variational data assimilation framework for estimating soil moisture profiles from AMSR-E microwave brightness temperature
    • Tian X J, Xie Z H, Dai A G, et al. 2009. A dual-pass variational data assimilation framework for estimating soil moisture profiles from AMSR-E microwave brightness temperature. J Geophys Res, 114: D16102, doi: 10. 1029/2008JD011600.
    • (2009) J Geophys Res , vol.114
    • Tian, X.J.1    Xie, Z.H.2    Dai, A.G.3
  • 39
    • 33750368306 scopus 로고    scopus 로고
    • Particle filtering and ensemble Kalman filtering for state updating with hydrological conceptual rainfall-runoff models
    • Weerts A H, El Serafy G Y H. 2006. Particle filtering and ensemble Kalman filtering for state updating with hydrological conceptual rainfall-runoff models. Water Resour Res, 42: W09403, doi: 10. 1029/2005WR-004093.
    • (2006) Water Resour Res , vol.42
    • Weerts, A.H.1    El Serafy, G.Y.H.2
  • 40
    • 0000417862 scopus 로고
    • Mixture models, Monte Carlo, Bayesian updating and dynamic models
    • West M. 1993. Mixture models, Monte Carlo, Bayesian updating and dynamic models. Comput Sci Statist, 24: 325-333.
    • (1993) Comput Sci Statist , vol.24 , pp. 325-333
    • West, M.1
  • 41
    • 34248631650 scopus 로고    scopus 로고
    • Auto-calibration system developed to assimilate AMSR-E data into a land surface model for estimating soil moisture and the surface energy budget
    • Yang K, Watanbe T, Koike T, et al. 2007. Auto-calibration system developed to assimilate AMSR-E data into a land surface model for estimating soil moisture and the surface energy budget. J Meteorol Soc Jpn, 85A: 229-242.
    • (2007) J Meteorol Soc Jpn , vol.85 A , pp. 229-242
    • Yang, K.1    Watanbe, T.2    Koike, T.3
  • 42
    • 84886598907 scopus 로고    scopus 로고
    • Using residual resampling and sensitivity analysis to improve particle filter data assimilation accuracy
    • Zhang H J, Qin S X, Ma J W, et al. 2013. Using residual resampling and sensitivity analysis to improve particle filter data assimilation accuracy. IEEE Geosci Remote Sens Lett, 10: 1404-1408.
    • (2013) IEEE Geosci Remote Sens Lett , vol.10 , pp. 1404-1408
    • Zhang, H.J.1    Qin, S.X.2    Ma, J.W.3
  • 43
    • 84871773687 scopus 로고    scopus 로고
    • Optimal exploitation of AMSR-E signals for improving soil moisture estimation through land data assimilation
    • Zhao L, Yang K, Qin J, et al. 2013. Optimal exploitation of AMSR-E signals for improving soil moisture estimation through land data assimilation. IEEE Trans Geosci Remote Sens, 51: 399-410.
    • (2013) IEEE Trans Geosci Remote Sens , vol.51 , pp. 399-410
    • Zhao, L.1    Yang, K.2    Qin, J.3


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