University of Reading cookie policy

We use cookies on reading.ac.uk to improve your experience, monitor site performance and tailor content to you

Read our cookie policy to find out how to manage your cookie settings

Polly Smith

Email:
p.j.smith@reading.ac.uk
Phone:
+44 (0) 118 378 8994
Job title:
Postdoctoral Research Assistant

Office

Room 207

Building location

Mathematics

Areas of interest

Data assimilation

Research centres and groups

Publications

Vetra-Carvalho, S. , Dance, S. ORCID: 0000-0003-1690-3338 , Mason, D. , Waller, J. , Cooper, E. , Smith, P. , Tabeart, J. (2020) Collection and extraction of water level information from a digital river camera image dataset. Data In Brief , 33 ISSN: 2352-3409 | doi: https://dx.doi.org/10.1016/j.dib.2020.106338

Cooper, E. , Dance, S. , Garcia-Pintado, J. , Nichols, N. , Smith, P. (2019) Observation operators for assimilation of satellite observations in fluvial inundation forecasting. Hydrology and Earth System Sciences , 23 pp. 2541-2559. ISSN: 1027-5606 | doi: https://dx.doi.org/10.5194/hess-23-2541-2019

Cooper, E. , Dance, S. , Garcia-Pintado, J. , Nichols, N. , Smith, P. (2018) Observation impact, domain length and parameter estimation in data assimilation for flood forecasting. Environmental Modelling and Software , 104 pp. 199-214. ISSN: 1364-8152 | doi: https://dx.doi.org/10.1016/j.envsoft.2018.03.013
Smith, P. , Lawless, A. , Nichols, N. (2018) Treating sample covariances for use in strongly coupled atmosphere-ocean data assimilation. Geophysical Research Letters , 45 (1). pp. 445-454. ISSN: 0094-8276 | doi: https://dx.doi.org/10.1002/2017gl075534

Smith, P. , Lawless, A. , Nichols, N. (2017) Estimating forecast error covariances for strongly coupled atmosphere-ocean 4D-Var data assimilation. Monthly Weather Review , 145 (10). pp. 4011-4035. ISSN: 0027-0644 | doi: https://dx.doi.org/10.1175/MWR-D-16-0284.1

Smith, P. , Fowler, A. , Lawless, A. (2015) Exploring strategies for coupled 4D-Var data assimilation using an idealised atmosphere-ocean model. Tellus A , 67 ISSN: 1600-0870 | doi: https://dx.doi.org/10.3402/tellusa.v67.27025

Smith, P. , Dance, S. , Nichols, N. (2014) A joint state and parameter estimation scheme for nonlinear dynamical systems. Dept of Mathematics & Statistics, University of Reading pp 24.

Smith, P. , Thornhill, G. , Dance, S. , Lawless, A. , Mason, D. , Nichols, N. (2013) Data assimilation for state and parameter estimation: application to morphodynamic modelling. Quarterly Journal of the Royal Meteorological Society , 139 (671 Part B). pp. 314-327. ISSN: 1477-870X | doi: https://dx.doi.org/10.1002/qj.1944

Smith, P. , Dance, S. , Nichols, N. (2011) A hybrid data assimilation scheme for model parameter estimation: application to morphodynamic modelling. Computers & Fluids , 46 (1). pp. 436-441. ISSN: 0045-7930 | doi: https://dx.doi.org/10.1016/j.compfluid.2011.01.010

Smith, P. , Dance, S. , Nichols, N. (2009) Data assimilation for morphodynamic model parameter estimation: a hybrid approach. University of Reading, Department of Mathematics (2/2009).
Smith, P. , Dance, S. , Baines, M. , Nichols, N. , Scott, T. (2009) Variational data assimilation for morphodynamic model parameter estimation.
Smith, P. , Dance, S. , Baines, M. , Nichols, N. , Scott, T. (2009) Variational data assimilation for parameter estimation: application to a simple morphodynamic model. Ocean Dynamics , 59 (5). pp. 697-708. ISSN: 1616-7341 | doi: https://dx.doi.org/10.1007/s10236-009-0205-6

Scott, T. , Smith, P. , Dance, S. , Mason, D. , Baines, M. , Nichols, N. , Horsburgh, K. , Sweby, P. , Lawless, A. (2008) Data assimilation for morphodynamic prediction and predictability. Coastal Engineering 2008 Proceedings of the 31st International Conference. , 3. World Scientific pp. 2386-2398. | doi: https://dx.doi.org/10.1142/9789814277426_0197

Scott, T. , Smith, P. , Dance, S. , Mason, D. , Nichols, N. , Baines, M. , Horsburgh, K. , Sweby, P. , Lawless, A. (2007) Progress on Changing coastlines: data assimilation for morphodynamic prediction and predictability.