Hydraulic parameter estimation by remotely-sensed top soil moisture observations with the particle filter

Journal of Hydrology

Volumn 399, Issue 3-4, 2011, Pages 410-421

  Montzka, Carsten ^a   Moradkhani, Hamid ^b   Weihermüller, Lutz ^a   Franssen, Harrie Jan Hendricks ^a   Canty, Morton ^a   Vereecken, Harry ^a  

^a FORSCHUNGSZENTRUM JÜLICH   (Germany)

^b Portland State University   (United States)

Author keywords

Data assimilation; HYDRUS 1D; Particle filter; Sequential importance resampling; SMOS; Soil moisture

Indexed keywords

DATA ASSIMILATION; HYDRUS-1D; PARTICLE FILTER; SEQUENTIAL IMPORTANCE RESAMPLING; SMOS;

DATA PROCESSING; GEOLOGIC MODELS; HYDRAULICS; MOISTURE DETERMINATION; MOISTURE METERS; NONLINEAR FILTERING; PARAMETER ESTIMATION; REMOTE SENSING; SOIL MOISTURE; WATER SUPPLY;

SOIL SURVEYS;

DATA ASSIMILATION; EVAPOTRANSPIRATION; HYDROLOGICAL MODELING; PRECIPITATION (CLIMATOLOGY); REMOTE SENSING; SATELLITE DATA; SOIL MOISTURE; SOIL TYPE; TOPSOIL; WEATHER STATION;

AACHEN; GERMANY; NORTH RHINE-WESTPHALIA;

EID: 79951977683     PISSN: 00221694     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.jhydrol.2011.01.020     Document Type: Article

References (88)

1. Albertson J.D., Montaldo N. Temporal dynamics of soil moisture variability: 1. Theoretical basis. Water Resour. Res. 2003, 39.
2. Allen, R.G., 1998. Crop Evapotranspiration: Guidelines for Computing Crop Water Requirements/by Richard G. Allen .. {et al.}. FAO Irrigation and Drainage Paper, 56. Food and Agriculture Organization of the United Nations, Rome.
3. Arulampalam M.S., Maskell S., Gordon N., Clapp T. A tutorial on particle filters for online nonlinear/non-Gaussian Bayesian tracking. IEEE Transactions on Signal Processing 2002, 50(2):174-188.
4. Baghdadi N., Holah N., Zribi M. Soil moisture estimation using multi-incidence and multi-polarization ASAR data. International Journal of Remote Sensing 2006, 27(10):1907-1920.
5. Bogena H.R., Huisman J.A., Oberdörster C., Vereecken H. Evaluation of a low-cost soil water content sensor for wireless network applications. Journal of Hydrology 2007, 344(1-2):32-42.
6. Boudreau J., Caron J., Elrick D., Fortin J., Gallichand J. Solute transport in sub-irrigated peat-based growing media. Canadian Journal of Soil Science 2009, 89(3):301-313.
7. Brocca L., Melone F., Moramarco T., Wagner W., Hasenauer S. ASCAT soil wetness index validation through in situ and modeled soil moisture data in central Italy. Remote Sensing of Environment 2010, 114(11):2745-2755.
8. 2 fluxes from an agricultural field using a process-based numerical model. Journal of Hydrology 2008, 361(1-2):131-143.
9. Burgers G., van Leeuwen P.J., Evensen G. Analysis scheme in the ensemble Kalman filter. Monthly Weather Review 1998, 126(6):1719-1724.
10. Calvet J.C., Noilhan J. From near-surface to root-zone soil moisture using year-round data. Journal of Hydrometeorology 2000, 1(5):393-411.
11. Camporese M., Paniconi C., Putti M., Salandin P. Ensemble Kalman filter data assimilation for a process-based catchment scale model of surface and subsurface flow. Water Resources Research 2009, 45.
12. Crow W.T., Van Loon E. Impact of incorrect model error assumptions on the sequential assimilation of remotely sensed surface soil moisture. Journal of Hydrometeorology 2006, 7(3):421-432.
13. Crow W.T., Wood E.F. The assimilation of remotely sensed soil brightness temperature imagery into a land surface model using Ensemble Kalman filtering: a case study based on ESTAR measurements during SGP97. Advances in Water Resources 2003, 26(2):137-149.
14. Das N.N., Mohanty B.P. Root zone soil moisture assessment using remote sensing and vadose zone modeling. Vadose Zone Journal 2006, 5(1):296-307.
15. de Lange R., Beck R., van de Giesen N., Friesen J., de Wit A., Wagner W. Scatterometer-derived soil moisture calibrated for soil texture with a one-dimensional water-flow model. IEEE Transactions on Geoscience and Remote Sensing 2008, 46(12):4041-4049.
16. Evensen G. Sequential Data Assimilation with a Nonlinear Quasi-Geostrophic Model Using Monte-Carlo Methods to Forecast Error Statistics. Journal of Geophysical Research-Oceans 1994, 99(C5):10143-10162.
17. Famiglietti J.S., Ryu D.R., Berg A.A., Rodell M., Jackson T.J. Field observations of soil moisture variability across scales. Water Resources Research 2008, 44(1).
18. Feddes R.A., Kowalik P.J., Zaradny H. Simulation of Field Water Use and Crop Yield. Simulation Monographs 1978, Pudoc, Wageningen.
19. Flores A.N., Ivanov V.Y., Entekhabi D., Bras R.L. Impact of hillslope-scale organization of topography, soil moisture, soil temperature, and vegetation on modeling surface microwave radiation emission. IEEE Transactions on Geoscience and Remote Sensing 2009, 47(8):2557-2571.
20. Fung A.K. Microwave scattering and emission models and their application 1994, Artech House, Boston, MA.
21. Galantowicz J.F., Entekhabi D., Njoku E.G. Tests of sequential data assimilation for retrieving profile soil moisture and temperature from observed L-band radiobrightness. IEEE Transactions on Geoscience and Remote Sensing 1999, 37(4):1860-1870.
22. Gordon N.J., Salmond D.J., Smith A.F.M. Novel-approach to nonlinear non-gaussian bayesian state estimation. IEE Proceedings-F Radar and Signal Processing 1993, 140(2):107-113.
23. Grant J.P., Wigneron J.P., Van de Griend A.A., Kruszewski A., Sobjaerg S.S., Skou N. A field experiment on microwave forest radiometry: L-band signal behaviour for varying conditions of surface wetness. Remote Sensing of Environment 2007, 109(1):10-19.
24. Hajnsek I., Jagdhuber T., Schön H., Papathanassiou K.P. Potential of estimating soil moisture under vegetation cover by means of PolSAR. IEEE Transactions on Geoscience and Remote Sensing 2009, 47(2):442-454.
25. Han X., Li X. An evaluation of the nonlinear/non-Gaussian filters for the sequential data assimilation. Remote Sensing of Environment 2008, 112(4):1434-1449.
26. Hebrard O., Voltz M., Andrieux P., Moussa R. Spatio-temporal distribution of soil surface moisture in a heterogeneously farmed Mediterranean catchment. Journal of Hydrology 2006, 329(1-2):110-121.
27. Hendricks Franssen H.J., Kinzelbach W. Ensemble Kalman filtering versus sequential self-calibration for inverse modelling of dynamic groundwater flow systems. Journal of Hydrology 2009, 365(3-4):261-274.
28. Hupet F., Vanclooster A. Micro-variability of hydrological processes at the maize row scale: implications for soil water content measurements and evapotranspiration estimates. Journal of Hydrology 2005, 303(1-4):247-270.
29. Iman R.L., Helton J.C., Campbell J.E. An Approach to sensitivity analysis of computer-models .1. Introduction, input variable selection and preliminary variable assessment. Journal of Quality Technology 1981, 13(3):174-183.
30. Irmak A., Kamble B. Evapotranspiration data assimilation with genetic algorithms and SWAP model for on-demand irrigation. Irrigation Science 2009, 28(1):101-112.
31. Jimenez-Martinez J., Skaggs T.H., van Genuchten M.T., Candela L. A root zone modelling approach to estimating groundwater recharge from irrigated areas. Journal of Hydrology 2009, 367(1-2):138-149.
32. Kalman R.E. A new approach to linear filtering and prediction problems. Journal of Basic Engineering 1960, 82(1):35-45.
33. Kerr Y.H. Soil moisture from space. Where are we?. Hydrogeology Journal 2007, 15(1):117-120.
34. Kerr Y.H., Waldteufel P., Wigneron J.P., Martinuzzi J.M., Font J., Berger M. Soil moisture retrieval from space. The soil moisture and ocean salinity (SMOS) mission. IEEE Transactions on Geoscience and Remote Sensing 2001, 39(8):1729-1735.
35. Koestel J., Vanderborght J., Javaux M., Kamna A., Binley A., Vereecken H. Noninvasive 3-D transport characterization in a sandy soil using ERT: 2. Transport process inference. Vadose Zone Journal 2009, 8(3):723-734.
36. Koster R.D., Dirmeyer P.A., Guo Z.C., Bonan G., Chan E., Cox P., Gordon C.T., Kanae S., Kowalczyk E., Lawrence D., Liu P., Lu C.H., Malyshev S., McAvaney B., Mitchell K., Mocko D., Oki T., Oleson K., Pitman A., Sud Y.C., Taylor C.M., Verseghy D., Vasic R., Xue Y.K., Yamada T., Team G. Regions of strong coupling between soil moisture and precipitation. Science 2004, 305(5687):1138-1140.
37. Li F.Q., Crow W.T., Kustas W.P. Towards the estimation root-zone soil moisture via the simultaneous assimilation of thermal and microwave soil moisture retrievals. Advances in Water Resources 2010, 33(2):201-214.
38. Li L., Gaiser P.W., Gao B.C., Bevilacqua R.M., Jackson T.J., Njoku E.G., Rudiger C., Calvet J.C., Bindlish R. WindSat global soil moisture retrieval and validation. IEEE Transactions on Geoscience and Remote Sensing 2010, 48(5):2224-2241.
39. Matgen P., Montanari M., Hostache R., Pfister L., Hoffmann L., Plaza D., Pauwels V.R.N., Lannoy G.J.M.D., Keyser R.D., Savenije H.H.G. Towards the sequential assimilation of SAR-derived water stages into hydraulic models using the Particle Filter: proof of concept. Hydrology and Earth System Sciences Discussion 2010, 7:1785-1819.
40. McMullan K.D., Brown M.A., Martin-Neira M., Rits W., Ekholm S., Marti J., Lemanczyk J. SMOS: the payload. IEEE Transactions on Geoscience and Remote Sensing 2008, 46(3):594-605.
41. Moradkhani H. Hydrologic remote sensing and land surface data assimilation. Sensors 2008, 8(5):2986-3004.
42. Moradkhani H., Sorooshian S. General review of rainfall-runoff modeling: model calibration, data assimilation, and uncertainty analysis. Hydrological Modelling and the Water Cycle - Coupling the Atmospheric and Hydrological Models 2008, Springer, Berlin. S. Sorooshian (Ed.).
43. Moradkhani H., Hsu K.L., Gupta H., Sorooshian S. Uncertainty assessment of hydrologic model states and parameters: sequential data assimilation using the particle filter. Water Resources Research 2005, 41(5).
44. Moradkhani H., Sorooshian S., Gupta H.V., Houser P.R. Dual state-parameter estimation of hydrological models using ensemble Kalman filter. Advances in Water Resources 2005, 28(2):135-147.
45. Moran M.S., Peters-Lidard C.D., Watts J.M., McElroy S. Estimating soil moisture at the watershed scale with satellite-based radar and land surface models. Canadian Journal of Remote Sensing 2004, 30(5):805-826.
46. Mualem Y. New model for predicting hydraulic conductivity of unsaturated porous-media. Water Resources Research 1976, 12(3):513-522.
47. Nakano S., Ueno G., Higuchi T. Merging particle filter for sequential data assimilation. Nonlinear Processes in Geophysics 2007, 14(4):395-408.
48. Ni-Meister W. Recent advances on soil moisture data assimilation. Physical Geography 2008, 29(1):19-37.
49. Oberdorster C., Vanderborght J., Kemna A., Vereecken H. Investigating preferential flow processes in a forest soil using time domain reflectometry and electrical resistivity tomography. Vadose Zone Journal 2010, 9(2):350-361.
50. Paloscia S., Macelloni G., Santi E. Soil moisture estimates from AMSR-E brightness temperatures by using a dual-frequency algorithm. IEEE Transactions on Geoscience and Remote Sensing 2006, 44(11):3135-3144.
51. Pan M., Wood E.F. Impact of accuracy, spatial availability, and revisit time of satellite-derived surface soil moisture in a multiscale ensemble data assimilation System. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing 2010, 3(1):49-56.
52. Parada L.M., Liang X. Impacts of spatial resolutions and data quality on soil moisture data assimilation. Journal of Geophysical Research-Atmospheres 2008, 113(D10).
53. Pauwels V.R.N., Hoeben R., Verhoest N.E.C., De Troch F.P. The importance of the spatial patterns of remotely sensed soil moisture in the improvement of discharge predictions for small-scale basins through data assimilation. Journal of Hydrology 2001, 251(1-2):88-102.
54. Qin J., Liang S.L., Yang K., Kaihotsu I., Liu R.G., Koike T. Simultaneous estimation of both soil moisture and model parameters using particle filtering method through the assimilation of microwave signal. Journal of Geophysical Research-Atmospheres 2009, 114.
55. Reichle R.H., Walker J.P., Koster R.D., Houser P.R. Extended versus ensemble Kalman filtering for land data assimilation. Journal of Hydrometeorology 2002, 3(6):728-740.
56. Robinson D.A., Binley A., Crook N., Day-Lewis F.D., Ferre T.P.A., Grauch V.J.S., Knight R., Knoll M., Lakshmi V., Miller R., Nyquist J., Pellerin L., Singha K., Slater L. Advancing process-based watershed hydrological research using near-surface geophysics: a vision for, and review of, electrical and magnetic geophysical methods. Hydrological Processes 2008, 22(18):3604-3635.
57. Rodríguez-Iturbe I., Porporato A. Ecohydrology of Water-controlled Ecosystems: Soil Moisture and Plant Dynamics 2004, Cambridge Press, Cambridge.
58. Saito H., Simunek J. Effects of meteorological models on the solution of the surface energy balance and soil temperature variations in bare soils. Journal of Hydrology 2009, 373(3-4):545-561.
59. Saleh K., Kerr Y.H., Richaume P., Escorihuela M.J., Panciera R., Delwart S., Boulet G., Maisongrande P., Walker J.P., Wursteisen P., Wigneron J.P. Soil moisture retrievals at L-band using a two-step inversion approach (COSMOS/NAFE'05 Experiment). Remote Sensing of Environment 2009, 113(6):1304-1312.
60. Santanello J.A., Peters-Lidard C.D., Garcia M.E., Mocko D.M., Tischler M.A., Moran M.S., Thoma D.P. Using remotely-sensed estimates of soil moisture to infer soil texture and hydraulic properties across a semi-arid watershed. Remote Sensing of Environment 2007, 110(1):79-97.
61. Schaap M.G., van Genuchten M.T. A modified Mualem-van Genuchten formulation for improved description of the hydraulic conductivity near saturation. Vadose Zone Journal 2006, 5(1):27-34.
62. Schneeberger K., Schwank M., Stamm C., de Rosnay P., Mätzler C., Flühler H. Topsoil structure influencing soil water retrieval by microwave radiometry. Vadose Zone Journal 2004, 3:1169-1179.
63. Schwank M., Völksch I., Wigneron J.-P., Kerr Y.H., Mialon A., de Rosnay P., Mätzler C. Comparison of two bare-soil reflectivity models and validation with L-band radiometer measurements. IEEE Transaction on Geosciences and Remote Sensing 2010, 48(1):325-337.
64. Seo D.J., Cajina L., Corby R., Howieson T. Automatic state updating for operational streamflow forecasting via variational data assimilation. Journal of Hydrology 2009, 367(3-4):255-275.
65. Shen L.C., Kong J.A. Applied Electromagnetism 1995, PWS Pub. Co., Boston, USA, 606 pp.
66. Šimůnek J., Hopmans J.W. Modeling compensated root water and nutrient uptake. Ecological Modelling 2009, 220(4):505-521.
67. Šimůnek, J., Van Genuchten, M.T., Sejna, M., 2005. The HYDRUS-1D Software Package for Simulating the One-dimensional Movement of Water, Heat, and Multiple Solutes in Variably-saturated Media. University of California - Riverside Research Reports, 240 pp.
68. Soulis K.X., Valiantzas J.D., Dercas N., Londra P.A. Investigation of the direct runoff generation mechanism for the analysis of the SCS-CN method applicability to a partial area experimental watershed. Hydrology and Earth System Sciences 2009, 13(5):605-615.
69. Takada M., Mishima Y., Natsume S. Estimation of surface soil properties in peatland using ALOS/PALSAR. Landscape and Ecological Engineering 2009, 5(1):45-58.
70. Teuling A.J., Troch P.A. Improved understanding of soil moisture variability dynamics. Geophysical Research Letters 2005, 32(5).
71. Teuling A.J., Uijlenhoet R., Hupet F., van Loon E.E., Troch P.A. Estimating spatial mean root-zone soil moisture from point-scale observations. Hydrology and Earth System Sciences 2006, 10(5):755-767.
72. van der Kruk J., Steelman C.M., Endres A.L., Vereecken H. Dispersion inversion of electromagnetic pulse propagation within freezing and thawing soil waveguides. Geophysical Research Letters 2009, 36:4.
73. Van Genuchten M.T. A closed form equation for predicting the hydraulic conductivity of unsaturated soils. Soil Science Society of America Journal 1980, 44(5):892-898.
74. Vereecken H., Maes J., Vanorshoven J., Feyen J. Deriving pedotransfer functions of soil hydraulic-properties. Land Qualities in Space and Time 1989, 355:121-124.
75. Vereecken H., Maes J., Feyen J. Estimating unsaturated hydraulic conductivity from easily measured soil properties. Soil Science 1990, 149(1):1-12.
76. Vereecken H., Kamai T., Harter T., Kasteel R., Hopmans J., Vanderborght J. Explaining soil moisture variability as a function of mean soil moisture: a stochastic unsaturated flow perspective. Geophysical Research Letters 2007, 34.
77. Vereecken H., Huisman J.A., Bogena H., Vanderborght J., Vrugt J.A., Hopmans J.W. On the value of soil moisture measurements in vadose zone hydrology: a review. Water Resources Research 2008, 44.
78. Vereecken H., Kamai T., Harter T., Kasteel R., Hopmans J.W., Huisman J.A., Vanderborght J. Comment on " Field observations of soil moisture variability across scales" by James S. Famiglietti et al. Water Resources Research 2008, 44(12).
79. Vivoni E.R., Rinehart A.J., Mendez-Barroso L.A., Aragon C.A., Bisht G., Cardenas M.B., Engle E., Forman B.A., Frisbee M.D., Gutierrez-Jurado H.A., Hong S.H., Mahmood T.H., Tai K., Wyckoff R.L. Vegetation controls on soil moisture distribution in the Valles Caldera, New Mexico, during the North American monsoon. Ecohydrology 2008, 1(3):225-238.
80. Wagner W., Scipal K., Pathe C., Gerten D., Lucht W., Rudolf B. Evaluation of the agreement between the first global remotely sensed soil moisture data with model and precipitation data. Journal of Geophysical Research-Atmospheres 2003, 108(D19).
81. Walker J.P., Houser P.R., Willgoose G.R. Active microwave remote sensing for soil moisture measurement: a field evaluation using ERS-2. Hydrological Processes 2004, 18(11):1975-1997.
82. Weerts A.H., El Serafy G.Y.H. Particle filtering and ensemble Kalman filtering for state updating with hydrological conceptual rainfall-runoff models. Water Resources Research 2006, 42(9).
83. Wei J.F., Dickinson R.E., Chen H.S. A negative soil moisture-precipitation relationship and its causes. Journal of Hydrometeorology 2008, 9(6):1364-1376.
84. Weihermüller L., Huisman J.A., Lambot S., Herbst M., Vereecken H. Mapping the spatial variation of soil water content at the field scale with different ground penetrating radar techniques. Journal of Hydrology 2007, 340(3-4):205-216.
85. Weihermüller L., Huisman J.A., Graf A., Herbst M., Sequaris J.M. Multistep outflow experiments to determine soil physical and carbon dioxide production parameters. Vadose Zone Journal 2009, 8(3):772-782.
86. Wilker H., Drusch M., Seuffert G., Simmer C. Effects of the near-surface soil moisture profile on the assimilation of L-band microwave brightness temperature. Journal of Hydrometeorology 2006, 7(3):433-442.
87. Yang K., Koike T., Kaihotsu I., Qin J. Validation of a dual-pass microwave land data assimilation system for estimating surface soil moisture in semiarid regions. Journal of Hydrometeorology 2009, 10(3):780-793.
88. Zreda M., Desilets D., Ferre T.P.A., Scott R.L. Measuring soil moisture content non-invasively at intermediate spatial scale using cosmic-ray neutrons. Geophysical Research Letters 2008, 35(21).