| Bounding global aerosol radiative forcing of climate change N Bellouin, J Quaas, E Gryspeerdt, S Kinne, P Stier, D Watson‐Parris, ... Reviews of Geophysics 58, 2019 | 701 | 2019 |
| Carrier localization mechanisms in InGaN/GaN quantum wells D Watson-Parris, MJ Godfrey, P Dawson, RA Oliver, MJ Galtrey, ... Physical Review B—Condensed Matter and Materials Physics 83 (11), 115321, 2011 | 218 | 2011 |
| Understanding rapid adjustments to diverse forcing agents CJ Smith, RJ Kramer, G Myhre, PM Forster, BJ Soden, T Andrews, ... Geophysical Research Letters 45 (21), 12,023-12,031, 2018 | 171 | 2018 |
| The global aerosol–climate model ECHAM6. 3–HAM2. 3–Part 1: Aerosol evaluation, Geosci. Model Dev., 12, 1643–1677 I Tegen, D Neubauer, S Ferrachat, C Siegenthaler-Le Drian, I Bey, ... Geoscientific Model Development 12, 1643–1677, 2019 | 157 | 2019 |
| The consequences of high injected carrier densities on carrier localization and efficiency droop in InGaN/GaN quantum well structures S Hammersley, D Watson-Parris, P Dawson, MJ Godfrey, TJ Badcock, ... Journal of Applied Physics 111 (8), 2012 | 141 | 2012 |
| Biomass burning aerosols in most climate models are too absorbing H Brown, X Liu, R Pokhrel, S Murphy, Z Lu, R Saleh, T Mielonen, ... Nature communications 12 (1), 277, 2021 | 129 | 2021 |
| Building high accuracy emulators for scientific simulations with deep neural architecture search MF Kasim, D Watson-Parris, L Deaconu, S Oliver, P Hatfield, DH Froula, ... Machine Learning: Science and Technology 3 (1), 015013, 2021 | 106 | 2021 |
| The CLoud–Aerosol–Radiation interaction and forcing: Year 2017 (CLARIFY-2017) measurement campaign JM Haywood, SJ Abel, PA Barrett, N Bellouin, A Blyth, KN Bower, ... Atmospheric Chemistry and Physics 21 (2), 1049-1084, 2021 | 96 | 2021 |
| Opportunistic experiments to constrain aerosol effective radiative forcing M Christensen, A Gettelman, J Cermak, G Dagan, M Diamond, A Douglas, ... Atmospheric Chemistry and Physics Discussions 2021, 1-60, 2021 | 93 | 2021 |
| The hemispheric contrast in cloud microphysical properties constrains aerosol forcing IL McCoy, DT McCoy, R Wood, L Regayre, D Watson-Parris, ... Proceedings of the National Academy of Sciences 117 (32), 18998-19006, 2020 | 83 | 2020 |
| Evaluation of global simulations of aerosol particle and cloud condensation nuclei number, with implications for cloud droplet formation GS Fanourgakis, M Kanakidou, A Nenes, SE Bauer, T Bergman, ... Atmospheric Chemistry and Physics 19, 8591–8617, 2019 | 83 | 2019 |
| Short Black Carbon lifetime inferred from a global set of aircraft observations MT Lund, BH Samset, RB Skeie, D Watson-Parris, JM Katich, JP Schwarz, ... Npj Climate and Atmospheric Science 1 (1), 31, 2018 | 81* | 2018 |
| Machine learning for weather and climate are worlds apart D Watson-Parris Philosophical Transactions of the Royal Society A 379 (2194), 20200098, 2021 | 74 | 2021 |
| Efficacy of climate forcings in PDRMIP models TB Richardson, PM Forster, CJ Smith, AC Maycock, T Wood, T Andrews, ... Journal of Geophysical Research: Atmospheres 124 (23), 12824-12844, 2019 | 74 | 2019 |
| tobac 1.2: towards a flexible framework for tracking and analysis of clouds in diverse datasets M Heikenfeld, PJ Marinescu, M Christensen, D Watson-Parris, F Senf, ... Geoscientific Model Development 12 (11), 4551-4570, 2019 | 69 | 2019 |
| Invisible ship tracks show large cloud sensitivity to aerosol P Manshausen, D Watson-Parris, MW Christensen, JP Jalkanen, P Stier Nature 610 (7930), 101-106, 2022 | 61 | 2022 |
| Climate impacts of COVID‐19 induced emission changes A Gettelman, R Lamboll, CG Bardeen, PM Forster, D Watson‐Parris Geophysical Research Letters 48 (3), e2020GL091805, 2021 | 58 | 2021 |
| ClimateBench v1. 0: A benchmark for data‐driven climate projections D Watson‐Parris, Y Rao, D Olivié, Ø Seland, P Nowack, G Camps‐Valls, ... Journal of Advances in Modeling Earth Systems 14 (10), e2021MS002954, 2022 | 55 | 2022 |
| HAMMOZ-Consortium MPI-ESM1. 2-HAM model output prepared for CMIP6 CMIP D Neubauer, S Ferrachat, SL Drian, J Stoll, DS Folini, I Tegen, ... World Data Center for Climate (WDCC) at DKRZ, 2019 | 55 | 2019 |
| Up to two billion times acceleration of scientific simulations with deep neural architecture search M Kasim, D Watson-Parris, L Deaconu, S Oliver, P Hatfield, D Froula, ... APS division of plasma physics meeting abstracts 2020, BO05. 001, 2020 | 51 | 2020 |
Philip StierProfessor of Atmospheric Physics, University of OxfordVerified email at physics.ox.ac.uk
