| Artificial Neural Networks (The Multilayer Perceptron) - a Review of Applications in the Atmospheric Sciences M Gardner, S Dorling Atmospheric ENvironment 32, 2627-2636, 1998 | 3883 | 1998 |
| Neural network modelling and prediction of hourly NOx and NO2 concentrations in urban air in London MW Gardner, SR Dorling Atmospheric Environment 33 (5), 709-719, 1999 | 485 | 1999 |
| Climate and southern Africa's water–energy–food nexus D Conway, EA Van Garderen, D Deryng, S Dorling, T Krueger, ... Nature Climate Change 5 (9), 837-846, 2015 | 467 | 2015 |
| Cluster analysis: A technique for estimating the synoptic meteorological controls on air and precipitation chemistry—Method and applications SR Dorling, TD Davies, CE Pierce Atmospheric Environment. Part A. General Topics 26 (14), 2575-2581, 1992 | 412 | 1992 |
| Extensive evaluation of neural network models for the prediction of NO2 and PM10 concentrations, compared with a deterministic modelling system and measurements in central Helsinki J Kukkonen, L Partanen, A Karppinen, J Ruuskanen, H Junninen, ... Atmospheric Environment 37 (32), 4539-4550, 2003 | 405 | 2003 |
| Statistical surface ozone models: an improved methodology to account for non-linear behaviour MW Gardner, SR Dorling Atmospheric Environment 34 (1), 21-34, 2000 | 311 | 2000 |
| Visibility trends in the UK 1950–1997 M Doyle, S Dorling Atmospheric Environment 36 (19), 3161-3172, 2002 | 270 | 2002 |
| A rigorous inter-comparison of ground-level ozone predictions U Schlink, S Dorling, E Pelikan, G Nunnari, G Cawley, H Junninen, ... Atmospheric Environment 37 (23), 3237-3253, 2003 | 180 | 2003 |
| Statistical models to assess the health effects and to forecast ground-level ozone U Schlink, O Herbarth, M Richter, S Dorling, G Nunnari, G Cawley, ... Environmental Modelling & Software 21 (4), 547-558, 2006 | 162 | 2006 |
| Elevating crop disease resistance with cloned genes JDG Jones, K Witek, W Verweij, F Jupe, D Cooke, S Dorling, L Tomlinson, ... Philosophical Transactions of the Royal Society B: Biological Sciences 369 …, 2014 | 160 | 2014 |
| Modelling SO2 concentration at a point with statistical approaches G Nunnari, S Dorling, U Schlink, G Cawley, R Foxall, T Chatterton Environmental Modelling & Software 19 (10), 887-905, 2004 | 146 | 2004 |
| Dust Fluxes to a Deep Water Sediment Trap in the Sargasso Sea T Jickells, S Dorling Global biogeochemical cycles 12 (2), 311-320, 1998 | 129 | 1998 |
| Meteorologically adjusted trends in UK daily maximum surface ozone concentrations MW Gardner, SR Dorling Atmospheric Environment 34 (2), 171-176, 2000 | 120 | 2000 |
| Idealized WRF model sensitivity simulations of sea breeze types and their effects on offshore windfields CJ Steele, SR Dorling, R Von Glasow, J Bacon Atmospheric Chemistry and Physics 13 (1), 443-461, 2013 | 101 | 2013 |
| Extending cluster analysis—synoptic meteorology links to characterise chemical climates at six northwest European monitoring stations SR Dorling, TD Davies Atmospheric Environment 29 (2), 145-167, 1995 | 96 | 1995 |
| Cluster analysis: A technique for estimating the synoptic meteorological controls on air and precipitation chemistry—Results from Eskdalemuir, south Scotland SR Dorling, TD Davies, CE Pierce Atmospheric Environment. Part A. General Topics 26 (14), 2583-2602, 1992 | 93 | 1992 |
| Operational weather forecasting PM Inness, S Dorling John Wiley & Sons, 2012 | 90 | 2012 |
| Predictive uncertainty in environmental modelling GC Cawley, GJ Janacek, MR Haylock, SR Dorling Neural networks 20 (4), 537-549, 2007 | 78 | 2007 |
| Modelling sea‐breeze climatologies and interactions on coasts in the southern North Sea: implications for offshore wind energy CJ Steele, SR Dorling, R von Glasow, J Bacon Quarterly Journal of the Royal Meteorological Society 141 (690), 1821-1835, 2015 | 77 | 2015 |
| 1980–2010 variability in UK surface wind climate N Earl, S Dorling, R Hewston, R Von Glasow Journal of Climate 26 (4), 1172-1191, 2013 | 77 | 2013 |
