Evaluating the utility of the ensemble transform Kalman filter for adaptive sampling when updating a hydrodynamic model
暂无分享,去创建一个
[1] R. E. Kalman,et al. A New Approach to Linear Filtering and Prediction Problems , 2002 .
[2] J. Cunge,et al. Practical aspects of computational river hydraulics , 1980 .
[3] I. Rodríguez‐Iturbe,et al. Random Functions and Hydrology , 1984 .
[4] G. Evensen. Sequential data assimilation with a nonlinear quasi‐geostrophic model using Monte Carlo methods to forecast error statistics , 1994 .
[5] Philippe Courtier,et al. Unified Notation for Data Assimilation : Operational, Sequential and Variational , 1997 .
[6] Jens Christian Refsgaard,et al. Validation and Intercomparison of Different Updating Procedures for Real-Time Forecasting , 1997 .
[7] G. Evensen,et al. Analysis Scheme in the Ensemble Kalman Filter , 1998 .
[8] H. Madsen,et al. Comparison of extended and ensemble Kalman filters for data assimilation in coastal area modelling , 1999 .
[9] Craig H. Bishop,et al. Adaptive sampling with the ensemble transform Kalman filter , 2001 .
[10] D. Mason,et al. Flood boundary delineation from Synthetic Aperture Radar imagery using a statistical active contour model , 2001 .
[11] E. Sprokkereef. Extension of the Flood Forecasting Model FloRIJN , 2002 .
[12] Craig H. Bishop,et al. Adaptive sampling with the ensemble transform Kalman filter , 2001 .
[13] K. Beven,et al. Development of a European flood forecasting system , 2003 .
[14] Xuguang Wang,et al. A Comparison of Breeding and Ensemble Transform Kalman Filter Ensemble Forecast Schemes , 2003 .
[15] Geir Evensen,et al. The Ensemble Kalman Filter: theoretical formulation and practical implementation , 2003 .
[16] M. Dijk,et al. DELFT-FEWS: AN OPEN SHELL FLOOD FORECASTING SYSTEM , 2004 .
[17] A. Weerts,et al. Particle filtering and Ensemble Kalman Filtering for runoff nowcasting using conceptual rainfall runoff models , 2004 .
[18] S. Julier,et al. Which Is Better, an Ensemble of Positive–Negative Pairs or a Centered Spherical Simplex Ensemble? , 2004 .
[19] S. Wright,et al. Estimating sediment budgets at the interface between rivers and estuaries with application to the Sacramento‐San Joaquin River Delta , 2005 .
[20] Zong‐Liang Yang,et al. Regional scale flood modeling using NEXRAD rainfall, GIS, and HEC-HMS/RAS: a case study for the San Antonio River Basin Summer 2002 storm event. , 2005, Journal of environmental management.
[21] C. Diks,et al. Improved treatment of uncertainty in hydrologic modeling: Combining the strengths of global optimization and data assimilation , 2005 .
[22] P. Bates,et al. Flood Forecasting and Warning at the River Basin and at the European Scale , 2005 .
[23] A. Weerts,et al. Particle filtering and ensemble Kalman filtering for state updating with hydrological conceptual rainfall‐runoff models , 2006 .
[24] Craig H. Bishop,et al. Verification region selection and data assimilation for adaptive sampling , 2006 .
[25] Keith Beven,et al. An intelligent and adaptable flood monitoring and warning system , 2006 .
[26] G. Katul,et al. Soil moisture and vegetation controls on evapotranspiration in a heterogeneous Mediterranean ecosystem on Sardinia, Italy , 2006 .
[27] Peter M. Atkinson,et al. Flood inundation model updating using an ensemble Kalman filter and spatially distributed measurements , 2007 .
[28] A. Weerts,et al. Application of data assimilation in portable operational forecasting systems—the DATools assimilation environment , 2007 .