| Representation of model error in a convective-scale ensemble prediction system L Baker, A Rudd, S Migliorini, R Bannister Nonlinear Processes in Geophysics 21, 19-39, 2014 | 46 | 2014 |
| Cloud banding and winds in intense European cyclones: Results from the DIAMET project G Vaughan, J Methven, D Anderson, B Antonescu, L Baker, TP Baker, ... Bulletin of the American Meteorological Society 96 (2), 249-265, 2015 | 37 | 2015 |
| Trends in atmospheric evaporative demand in Great Britain using high-resolution meteorological data EL Robinson, EM Blyth, DB Clark, J Finch, AC Rudd Hydrology and Earth System Sciences 21 (2), 1189-1224, 2017 | 32 | 2017 |
| Use of very high resolution climate model data for hydrological modelling: baseline performance and future flood changes AL Kay, AC Rudd, HN Davies, EJ Kendon, RG Jones Climatic Change 133 (2), 193-208, 2015 | 32 | 2015 |
| Climate hydrology and ecology research support system potential evapotranspiration dataset for Great Britain (1961-2015)[CHESS-PE] E Robinson, E Blyth, D Clark, E Comyn-Platt, J Finch, A Rudd | 31 | 2016 |
| Hydrological Outlook UK: an operational streamflow and groundwater level forecasting system at monthly to seasonal time scales C Prudhomme, J Hannaford, S Harrigan, D Boorman, J Knight, V Bell, ... Hydrological Sciences Journal 62 (16), 2753-2768, 2017 | 27 | 2017 |
| An inverse method for determining source characteristics for emergency response applications AC Rudd, AG Robins, JJ Lepley, SE Belcher Boundary-layer meteorology 144 (1), 1-20, 2012 | 27 | 2012 |
| Climate hydrology and ecology research support system meteorology dataset for Great Britain (1961-2015)[CHESS-met] v1. 2 E Robinson, E Blyth, D Clark, E Comyn-Platt, J Finch, A Rudd | 24 | 2017 |
| National-scale analysis of simulated hydrological droughts (1891–2015) AC Rudd, VA Bell, AL Kay Journal of Hydrology 550, 368-385, 2017 | 22 | 2017 |
| Processes controlling atmospheric dispersion through city centres SE Belcher, O Coceal, EV Goulart, AC Rudd, AG Robins Journal of Fluid Mechanics 763, 51-81, 2015 | 21 | 2015 |
| Use of very high resolution climate model data for hydrological modelling: estimation of potential evaporation AC Rudd, AL Kay Hydrology Research 47 (3), 660-670, 2016 | 20 | 2016 |
| Sensing network and method J Lepley, G Bourdon, D Friedrich, AC Rudd, S Belcher, AG Robins US Patent App. 13/011,230, 2011 | 15 | 2011 |
| National-scale analysis of low flow frequency: historical trends and potential future changes AL Kay, VA Bell, BP Guillod, RG Jones, AC Rudd Climatic change 147 (3-4), 585-599, 2018 | 11 | 2018 |
| A probabilistic risk assessment of the national economic impacts of regulatory drought management on irrigated agriculture G Salmoral, D Rey, A Rudd, P de Margon, I Holman Earth's Future 7 (2), 178-196, 2019 | 9 | 2019 |
| Climate hydrology and ecology research support system meteorology dataset for Great Britain (1961-2015)[CHESS-met] v1. 2. NERC Environmental Information Data Centre E Robinson, E Blyth, D Clark, E Comyn-Platt, J Finch, A Rudd | 9 | 2017 |
| National-scale analysis of future river flow and soil moisture droughts: potential changes in drought characteristics AC Rudd, AL Kay, VA Bell Climatic Change 156 (3), 323-340, 2019 | 6 | 2019 |
| A simple column model to explore anticipated problems in variational assimilation of satellite observations AC Rudd, I Roulstone, JR Eyre Environmental Modelling & Software 27, 23-39, 2012 | 6 | 2012 |
| Grid-to-Grid model estimates of monthly mean flow and soil moisture for Great Britain (1891 to 2015): observed driving data [MaRIUS-G2G-Oudin-monthly] V Bell, A Rudd, A Kay, H Davies | 5 | 2018 |
| Dynamic sensor deployment for the monitoring of chemical releases in urban environments (DYCE) JJ Lepley, DR Lloyd, A Robins, A Rudd, A Wilks Chemical, Biological, Radiological, Nuclear, and Explosives (CBRNE) Sensing …, 2011 | 4 | 2011 |
| The MaRIUS‐G2G datasets: Grid‐to‐Grid model estimates of flow and soil moisture for Great Britain using observed and climate model driving data VA Bell, AL Kay, AC Rudd, HN Davies Geoscience Data Journal 5 (2), 63-72, 2018 | 3 | 2018 |
