{"id":587,"date":"2017-11-02T15:07:00","date_gmt":"2017-11-02T15:07:00","guid":{"rendered":"http:\/\/blogs.reading.ac.uk\/flooding\/?page_id=587"},"modified":"2019-10-08T11:59:42","modified_gmt":"2019-10-08T10:59:42","slug":"publications","status":"publish","type":"page","link":"https:\/\/research.reading.ac.uk\/flooding\/publications\/","title":{"rendered":"Publications"},"content":{"rendered":"\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n
Year and Journal<\/td>\nFFIR Authors<\/td>\nStatus<\/td>\ntitle and link<\/td>\n<\/tr>\n
2019 – Atmosphere<\/td>\nDance, Ballard, Bannister, Clark, Cloke, Darlington, Flack, Gray, Hawkness-Smith, Husnoo, Illingworth, Kelly, Lean, Li, Nichols, Nicol, Oxley, Plant, Roberts, Roulstone, Simonin, Thompson and Waller<\/td>\npublished<\/td>\nImprovements in Forecasting Intense Rainfall: Results from the FRANC (Forecasting Rainfall Exploiting New Data Assimilation Techniques and Novel Observations of Convection) Project<\/a><\/td>\n<\/tr>\n
2015 – QJRMS<\/td>\nWaller, Dance, Nichols<\/td>\npublished<\/td>\nTheoretical insight into diagnosing observation error correlations using observation-minus-background and observation-minus-analysis statistics<\/a><\/td>\n<\/tr>\n
2016 – International Journal of Climatology<\/td>\nBlenkinsop, Fowler<\/td>\npublished<\/td>\nAn hourly precipitation dataset and climatology of extremes for the UK<\/a><\/td>\n<\/tr>\n
2015 – Journal of Geophysical Research<\/td>\nChampion, Allan<\/td>\npublished<\/td>\nAtmospheric Rivers don’t explain UK Summer Extreme Rainfall<\/a><\/td>\n<\/tr>\n
2016 – Int. J. Climatol<\/td>\nAllan, Champion<\/td>\npublished<\/td>\nDiagnosing links between atmospheric moisture and extreme daily precipitation over the UK<\/a><\/td>\n<\/tr>\n
2015 – Computer and Mathematics with Applications<\/td>\nLiang<\/td>\npublished<\/td>\nNumerical error control for second order explicit TVD scheme with limiters in advection simulation<\/a><\/td>\n<\/tr>\n
2015 – Remote Sensing of Env.<\/td>\nMason, Garcia-Pintado, Cloke, Bates<\/td>\npublished<\/td>\nImproving the TanDEM-X Digital Terrain Model for flood modelling using flood extents from Synthetic Aperture Radar images<\/a><\/td>\n<\/tr>\n
2015 – Frontiers in Earth Science<\/td>\nMason, Garcia-Pintado, Cloke, Dance<\/td>\npublished<\/td>\nThe potential of flood forecasting using a
\nvariable-resolution global Digital Terrain Model and flood extents from Synthetic Aperture Radar images.<\/a><\/td>\n<\/tr>\n
2015 – Geophysical Research Letters<\/td>\nCloke<\/td>\npublished<\/td>\nPrecipitation and floodiness<\/a><\/td>\n<\/tr>\n
2015 – ???<\/td>\nO’Donnell<\/td>\nin review<\/td>\nWhat knowledge is necessary in rainfall\u2013runoff modelling? A knowledge experiment<\/td>\n<\/tr>\n
2016 – Monthly Weather Review<\/td>\nWaller, Simonin, Dance, Nichols, Ballard<\/td>\npublished<\/td>\nDiagnosing observation error correlations for Doppler radar radial winds in the Met Office UKV model using observation-minus-background and observation-minus-analysis statistics.<\/a><\/td>\n<\/tr>\n
2016 – Remote Sensing<\/td>\nWaller, Ballard, Dance, Nichols, Simonin<\/td>\npublished<\/td>\nDiagnosing observation error correlations for SEVIRI observations in the Met Office UKV model observation-minus-background and observation-minus-analysis statistics<\/a><\/td>\n<\/tr>\n
2017 – Agriculture and Forest Meteorology<\/td>\nDance, Nichols<\/td>\npublished<\/td>\nInvestigating the role of prior and observation error correlations in improving a model forecast of forest carbon balance using four dimensional variational data assimilation<\/a><\/td>\n<\/tr>\n
2017 – QJRMS<\/td>\nDance, Nichols, Waller<\/td>\npublished<\/td>\nDiagnosing Atmospheric Motion Vector observation errors in an operational high resolution data assimilation system<\/a><\/td>\n<\/tr>\n
2016 – QJRMS<\/td>\nFlack, Plant, Gray, Lean, Craig<\/td>\npublished<\/td>\nCharacterisation of convective regimes over the British Isles<\/a><\/td>\n<\/tr>\n
2015 – Journal of Flood Risk Management<\/td>\nArcher, Fowler<\/td>\npublished<\/td>\nCharacterising flash flood response to intense rainfall and impacts using historical information and gauged data in Britain<\/a><\/td>\n<\/tr>\n
2017 – Hydrology Research<\/td>\nArcher, Parkin, Fowler<\/td>\npublished<\/td>\nAssessing long term flash flooding frequency using historical information<\/a><\/td>\n<\/tr>\n
2016 – J Geophys. Res<\/td>\nAllan<\/td>\npublished<\/td>\nInterannual Variability in the Summertime Hydrological Cycle over European Regions<\/a><\/td>\n<\/tr>\n
2015 – Geophys. Res. Lett<\/td>\nAllan<\/td>\npublished<\/td>\nRevisiting Trends in Wetness and Dryness in the Presence of Internal Climate Variability and Water Limitations Over Land<\/a><\/td>\n<\/tr>\n
2016 – Geomorphology<\/td>\nLiang<\/td>\nin review<\/td>\nA new non-hydrostatic depth-averaged model for flow-like landslides over complex terrain<\/td>\n<\/tr>\n
2016 – Water Resources Research<\/td>\nLiang<\/td>\npublished<\/td>\nAn efficient well-balanced shallow flow model with novel source term discretisations for overland flow simulations<\/a><\/td>\n<\/tr>\n
2016 –<\/td>\nQuinn et al.<\/td>\nin prep<\/td>\nDevelopment of a flexible coupled hydrological-hydrodynamic model for the UK<\/td>\n<\/tr>\n
2016 – Earth Surface Dynamics<\/td>\nCoulthard, Skinner<\/td>\nin press<\/td>\nThe sensitivity of landscape evolution models to spatial and temporal rainfall resolution<\/a><\/td>\n<\/tr>\n
2016 – Geophysical Research Abstracts<\/td>\nMueller, Verhoef, Cloke<\/td>\npublished<\/td>\nSimulation of infiltration and redistribution of intense rainfall using\u00a0 Land Surface Models<\/a><\/td>\n<\/tr>\n
2016 – Journal of Hydrology<\/td>\nDemeritt (2nd author)<\/td>\npublished<\/td>\nDefining the hundred year flood: A Bayesian approach for using historic data to reduce uncertainty in flood frequency estimates\u00a0<\/a><\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n","protected":false},"excerpt":{"rendered":"

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