Flood inundation model updating using an ensemble Kalman filter and spatially distributed measurements
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] Peter C. Young,et al. Recursive Estimation and Time Series Analysis , 1984 .
[4] Keith Beven,et al. The future of distributed models: model calibration and uncertainty prediction. , 1992 .
[5] G. Evensen. Using the Extended Kalman Filter with a Multilayer Quasi-Geostrophic Ocean Model , 1992 .
[6] W. White,et al. 2nd International Conference on River Flood Hydraulics , 1994 .
[7] G. Evensen. Sequential data assimilation with a nonlinear quasi‐geostrophic model using Monte Carlo methods to forecast error statistics , 1994 .
[8] E. Todini. The ARNO rainfall-runoff model , 1996 .
[9] M. Verlaan,et al. Tidal flow forecasting using reduced rank square root filters , 1997 .
[10] Jens Christian Refsgaard,et al. Validation and Intercomparison of Different Updating Procedures for Real-Time Forecasting , 1997 .
[11] Keith Beven,et al. Dynamic real-time prediction of flood inundation probabilities , 1998 .
[12] G. Evensen,et al. Analysis Scheme in the Ensemble Kalman Filter , 1998 .
[13] Arnold W. Heemink,et al. Application of advanced data assimilation methods for the initialisation of storm surge models , 1998 .
[14] V. Singh,et al. Application of the Kalman filter to the Nash model , 1998 .
[15] Jeffrey L. Anderson,et al. A Monte Carlo Implementation of the Nonlinear Filtering Problem to Produce Ensemble Assimilations and Forecasts , 1999 .
[16] H. Madsen,et al. Comparison of extended and ensemble Kalman filters for data assimilation in coastal area modelling , 1999 .
[17] P. Bates,et al. Integration of high-resolution topographic data with floodplain flow models. , 2000 .
[18] Yasuto Tachikawa,et al. Real-time stage and discharge estimation by a stochastic-dynamic flood routing model , 2000 .
[19] Jeffrey L. Anderson. An Ensemble Adjustment Kalman Filter for Data Assimilation , 2001 .
[20] H. J. Vested,et al. Developments in Operational Shelf Sea Modelling in Danish Waters , 2001 .
[21] Vladan Babovic,et al. Neural networks as routine for error updating of numerical models , 2001 .
[22] Anthony J. Jakeman,et al. An application of the Kalman filtering technique for Streamflow forecasting in the Upper Murray Basin , 2001 .
[23] Dennis McLaughlin,et al. An integrated approach to hydrologic data assimilation: interpolation, smoothing, and filtering , 2002 .
[24] J. Whitaker,et al. Ensemble Data Assimilation without Perturbed Observations , 2002 .
[25] Peter C Young,et al. Advances in real–time flood forecasting , 2002, Philosophical Transactions of the Royal Society of London. Series A: Mathematical, Physical and Engineering Sciences.
[26] E. Sprokkereef. Extension of the Flood Forecasting Model FloRIJN , 2002 .
[27] D. McLaughlin,et al. Hydrologic Data Assimilation with the Ensemble Kalman Filter , 2002 .
[28] Jean A. Cunge,et al. Of data and models , 2003 .
[29] K. Beven,et al. Development of a European flood forecasting system , 2003 .
[30] D. Aubert,et al. Sequential assimilation of soil moisture and streamflow data in a conceptual rainfall-runoff model , 2003 .
[31] Jeffrey P. Walker,et al. New technologies require advances in hydrologic data assimilation , 2003 .
[32] Geir Evensen,et al. The Ensemble Kalman Filter: theoretical formulation and practical implementation , 2003 .
[33] G. Evensen. Sampling strategies and square root analysis schemes for the EnKF , 2004 .
[34] 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.
[35] K. Beven,et al. Cascading model uncertainty from medium range weather forecasts (10 days) through a rainfall-runoff model to flood inundation predictions within the European Flood Forecasting System (EFFS) , 2005 .
[36] Henrik Madsen,et al. Adaptive state updating in real-time river flow forecasting—a combined filtering and error forecasting procedure , 2005 .
[37] K. Beven,et al. Uncertainty in the calibration of effective roughness parameters in HEC-RAS using inundation and downstream level observations , 2005 .
[38] P. Bates,et al. Utility of different data types for calibrating flood inundation models within a GLUE framework , 2005 .