An application of Ensemble Kalman Filter in integral-balance subsurface modeling

Stochastic Environmental Research and Risk Assessment

Volumn 19, Issue 5, 2005, Pages 361-374

  Shu, Qiang ^a   Kemblowski, Mariush W ^a   McKee, Mac ^a  

^a UTAH STATE UNIVERSITY   (United States)

Author keywords

Ensemble Kalman Filter; Integral balance; Soil moisture; Uncertainty

Indexed keywords

DATA ASSIMILATION; HYDROLOGICAL MODELING; KALMAN FILTER; SOIL MOISTURE;

EID: 29144440914     PISSN: 14363240     EISSN: None     Source Type: Journal    
DOI: 10.1007/s00477-005-0242-8     Document Type: Article

References (9)

1. Burgers G, van Leeuwen PJ, Evensen G (1998) Analysis scheme in the ensemble Kalman Filter. Monthly Weather Rev 126:1719-1724
2. Duffy CJ (1996) A two-state integral-balance model for soil moisture and groundwater dynamics in complex terrain. Water Resour Res 32(8);2421-2434
3. Evensen G (1994) Sequential data assimilation with a nonlinear quasi-geostrophic model using Monte-Carlo methods to forecast error statistics. J Geophys Res 99(c5):10143-10162
4. Evensen G (2002) Sequential data assimilation for nonlinear dynamics: the Ensemble Kalman Filter. In: Pinardi N, Woods JD (eds) Ocean forecasting: conceptual basis and applications. Springer-Verlag, Berlin Heidelberg
5. Evensen G (2003) the ensemble kalman filter: theoretical formulation and practical implementation. Ocean Dyn 53:343-367
6. Jazwinski AH (1970) Stochastic process and filtering. Academic Press, New York
7. Kalman RE (1960) A new approach to linear filtering and prediction problem. Transactions of the ASME. J Basic Eng 82(Series D):35-45
8. Lee DH (1993) On nonlinear dynamics of storage-flux relationships on a hillslope. PhD. Dissertation, Pennsylvania State University, University Park, PA, USA, 120 pp
9. McLaughlin D (2002) An integrated approach to hydrologic data assimilation: interpolation, smoothing, and filtering. Adv Water Resour 25(2002):1275-1286