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Polly J Smith
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Year
Exploring strategies for coupled 4D-Var data assimilation using an idealised atmosphere-ocean model
PJ Smith, AM Fowler, AS Lawless
Tellus A 67, 27025, 2015
672015
Data assimilation for state and parameter estimation: application to morphodynamic modelling
PJ Smith, GD Thornhill, SL Dance, AS Lawless, DC Mason, NK Nichols
Quarterly Journal of the Royal Meteorological Society 139 (671), 314-327, 2013
582013
Variational data assimilation for parameter estimation: application to a simple morphodynamic model
PJ Smith, SL Dance, MJ Baines, NK Nichols, TR Scott
Ocean Dynamics 59, 697-708, 2009
442009
Observation operators for assimilation of satellite observations in fluvial inundation forecasting
ES Cooper, SL Dance, J García-Pintado, NK Nichols, PJ Smith
Hydrology and Earth System Sciences 23 (6), 2541-2559, 2019
352019
Observation impact, domain length and parameter estimation in data assimilation for flood forecasting
ES Cooper, SL Dance, J Garcia-Pintado, NK Nichols, PJ Smith
Environmental Modelling & Software 104, 199-214, 2018
352018
Estimating forecast error covariances for strongly coupled atmosphere–ocean 4D-Var data assimilation
PJ Smith, AS Lawless, NK Nichols
Monthly Weather Review 145 (10), 4011-4035, 2017
332017
Treating sample covariances for use in strongly coupled atmosphere‐ocean data assimilation
PJ Smith, AS Lawless, NK Nichols
Geophysical Research Letters 45 (1), 445-454, 2018
302018
A hybrid data assimilation scheme for model parameter estimation: Application to morphodynamic modelling
PJ Smith, SL Dance, NK Nichols
Computers & fluids 46 (1), 436-441, 2011
252011
Sobock, á, J
P Smith, JI House, M Bustamante
Harper, R., Pan, G., et al, 2016
182016
Collection and extraction of water level information from a digital river camera image dataset
S Vetra-Carvalho, SL Dance, DC Mason, JA Waller, ES Cooper, PJ Smith, ...
Data in Brief 33, 106338, 2020
102020
Joint state and parameter estimation using data assimilation with application to morphodynamic modelling
PJ Smith
University of Reading, 2010
102010
The role of cross‐domain error correlations in strongly coupled 4D‐Var atmosphere–ocean data assimilation
PJ Smith, AS Lawless, NK Nichols
Quarterly Journal of the Royal Meteorological Society 146 (730), 2450-2465, 2020
92020
Data assimilation for parameter estimation with application to a simple morphodynamic model
PJ Smith, MJ Baines, SL Dance, NK Nichols, TR Scott
Mathematics Report 2, 2008, 2008
72008
Weak constraint four-dimensional variational data assimilation in a model of the California Current System
WJ Crawford, PJ Smith, RF Milliff, J Fiechter, CK Wikle, CA Edwards, ...
Advances in Statistical Climatology, Meteorology and Oceanography 2 (2), 171-192, 2016
52016
Priority habitats, protected sites and climate change: three investigations to inform policy and management for adaptation and mitigation
PD Carey, GH Griffiths, IN Vogiatzakis, B Butcher, J Treweek, MB Charlton, ...
DEFRA CR0439, 2015
52015
Climate extremes and the carbon cycle
SI Seneviratne, J Zscheischler, C Beer, N Buchmann, DC Frank, D Papale, ...
Nature 500, 287295, 2013
52013
Data assimilation for parameter estimation with application to a simple morphodynamic model. Mathematics Report 2/2008, Department of Mathematics, University of Reading
PJ Smith, MJ Baines, SL Dance, NK Nichols, TR Scott
52008
Backfilling in Australian mines: a new application in underground coal operations
T Grice, T Finn, P Smith
Australian Coal Review, 1999
51999
Data assimilation for morphodynamic model parameter estimation: a hybrid approach
PJ Smith, SL Dance, NK Nichols
Mathematics Report 2, 2009, 2009
42009
Simple models of changing bathymetry with data assimilation
PJ Smith, MJ Baines, SL Dance, NK Nichols, TR Scott
Numerical Analysis Report 10, 2007, 2007
42007
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Articles 1–20