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Selection of recent publications since 2005

H.Garnier and P. C. Young (2014) The advantages of directly identifying continuous-time transfer function models in practical applications. Int. J. Control (in press).

P. C. Young (2013) Hypothetico-inductive data-based mechanistic modeling of hydrological systems. Water Resources Research, 49(2):915–935.

P.C. Young (2012) Data-based mechanistic modelling: natural philosophy revisited? In L. Wang and H. Garnier, editors, System Identification, Environmetric Modelling and Control, Berlin, Springer-Verlag.

K. J. Beven, D. T. Leedal, P. J. Smith, and P. C. Young (2012) Identification and representation of state dependent non-linearities in flood forecasting using the DBM methodology. In L. Wang and H. Garnier, editors, System Identification, Environmetric Modelling and Control, pages 341–366, Berlin, Springer-Verlag.

P. C. Young and M. Ratto (2011) Statistical emulation of large linear dynamic models. Technometrics, 53:29–43.

P. C. Young (2011) Data-based mechanistic modeling: natural philosophy revisited? In L. Wang and H. Garnier, editors, System Identification, Environmetric Modelling and Control System Design, Springer-Verlag: London.

K. J. Beven, D. T. Leedal, P. J. Smith, and P. C. Young (2011) Identification and representation of state dependent nonlinearities in flood forecasting using the DBM methodology. In L. Wang and H. Garnier, editors, System Identification, Environmetric Modelling and Control System Design, Springer-Verlag: London.

C. X. Lu, N. W. Rees, and P. C. Young (2011) Simulation model emulation in control system design. In L. Wang, H. Garnier, and A. J. Jakeman, editors, System Identification, Environmetric Modelling and Control System Design, Springer-Verlag: London.

N. McIntyre, P. C. Young, B. Orellana, M. Marshall, B. Reynolds, and H. Wheater. Identification of nonlinearity in rainfall-flow response using data-based mechanistic modeling. Water Resour. Res., 47:W03515, doi:10.1029/2010WR009851, 2011.

P. C. Young. Gauss, Kalman and advances in recursive parameter estimation. Journal of Forecasting (special issue celebrating 50 years of the Kalman Filter), 30:104–146, 2010.

P. C. Young. Real-time updating in flood forecasting and warning. In G. J. Pender and H. Faulkner, editors, Flood Risk Science and Management, pages 163–195, Oxford, UK, 2010. Wiley-Blackwell.

P. C. Young and M. Ratto. A unified approach to environmental systems modeling. Stochastic Environmental Research and Risk Assessment, 23:1037–1057, 2009.

Young, P. C., Garnier, H., and Gilson, M. (2008). Refined instrumental variable identification of continuous-time hybrid Box-Jenkins models. In Garnier, H. and Wang, L., editors, Identification of Continuous-Time Models from Sampled Data, pages 91–131. Springer-Verlag: London.

Young, P. C. (2008). The refined instrumental variable method: unified estimation of discrete and continuous-time transfer function models. Journal Européen des Systèmes Automatisés, 42:149–179.

Jarvis, A. J., Young, P. C., Leedal, D. T., and Chotai, A. (2008). A robust sequential emissions strategy based on optimal control of atmospheric concentrations. Climate Change, 86:357–373.

Garnier, H., Wang, L., and Young, P. C. (2008). Direct identification of continuous-time models from sampled data: issues, basic solutions and relevance. In Garnier, H. and Wang, L., editors, Identification of Continuous-Time Models from Sampled Data, pages 1–29. Springer-Verlag: London.

Gilson, M., Garnier, H., Young, P. C., and den Hof, P. V. (2008). Instrumental variable methods for closed-loop continuous-time model identification. In Garnier, H. and Wang, L., editors, Identification of continuous-time models from sampled data., pages 133–160. Springer-Verlag: Berlin.

Wang, L. and Young, P. C. (2008). Model order identification for continuous-time models. In Garnier, H. and Wang, L., editors, Identification of Continuous-Time models from Sampled data, pages 162–187, London. Springer-Verlag.

Young, P. C. (2008). The refined instrumental variable method: unified estimation of discrete and continuous-time transfer function models. Journal Européen des Systèmes Automatisés, 42:149–179.

Young, P. C. and Ratto, M. (2008). A unified approach to environmental systems modeling. Stochastic Environmental Research and Risk Assessment, pages ISSN 1436–3240 (Print) 1436–3259 (Online), DOI 10.1007/s00477–008–0271–1.

Ratto, M., Pagano, A., and Young, P. (2007). State dependent parameter metamodelling and sensitivity analysis. Computer Physics Communications, 177:863–876.

Ratto, M., Young, P. C., Romanowicz, R., Pappenberger, F., A.Saltelli, and Pagano, A. (2007). Uncertainty, sensitivity analysis and the role of data based mechanistic modelling in hydrology. Hydrology and Earth System Sciences (HESS), European Geophysical Union, 11:1249–1266.

Taylor, C. J., Pedregal, D. J., Young, P. C., and Tych, W. (2007). Environmental time series analysis and forecasting with the CAPTAIN toolbox. Environmental Modelling & Software, 22:797–814.

Young, P. C., Castelletti, A., and Pianosi, F. (2007). The data-based mechanistic approach in hydrological modelling. In Castelletti, A. and Sessa, R. S., editors, Topics on System Analysis and Integrated Water Resource Management (IWRM), pages 27–48. Elsevier: Oxford.

Young, P. C. (2006). The data-based mechanistic approach to the modelling, forecasting and control of environmental systems. Annual Reviews in Control, 30:169–182.

Romanowicz, R. J., Young, P. C., and Beven, K. J. (2006). Data assimilation and adaptive forecasting of water levels in the River Severn catchment. Water Resources Research, 42(W06407):doi:10.1029/2005WR004373.

Young, P. C. and Garnier, H. (2006). Identification and estimation of continuous-time, data-based mechanistic models for environmental systems. Environmental Modelling & Software, 21:1055–1072.

Young, P. C. (2005). Rainfall-runoff modeling: Transfer Function models. In Anderson, M. G., editor, Encyclopedia of Hydrological Sciences, volume 3, part II, pages 1985–2000, Hoboken, N. J. John Wiley.

Sivapalan, M. and Young, P. C. (2005). Downward approach to hydrological model development. In Anderson, M. G., editor, Encyclopedia of Hydrological Sciences, volume 3, part II, pages 2081–2098, Hoboken, N. J. John Wiley.