| Atmospheric river tracking method intercomparison project (ARTMIP): Project goals and experimental design CA Shields, JJ Rutz, LY Leung, FM Ralph, M Wehner, B Kawzenuk, ... Geoscientific Model Development 11 (6), 2455-2474, 2018 | 335 | 2018 |
| Stochastic representations of model uncertainties at ECMWF: State of the art and future vision M Leutbecher, SJ Lock, P Ollinaho, STK Lang, G Balsamo, P Bechtold, ... Quarterly Journal of the Royal Meteorological Society 143 (707), 2315-2339, 2017 | 308 | 2017 |
| Initialized Earth System prediction from subseasonal to decadal timescales GA Meehl, JH Richter, H Teng, A Capotondi, K Cobb, F Doblas-Reyes, ... Nature Reviews Earth & Environment 2 (5), 340-357, 2021 | 252 | 2021 |
| Machine learning for stochastic parameterization: Generative adversarial networks in the Lorenz'96 model DJ Gagne, HM Christensen, AC Subramanian, AH Monahan Journal of Advances in Modeling Earth Systems 12 (3), e2019MS001896, 2020 | 190 | 2020 |
| Eddies in the Red Sea: A statistical and dynamical study P Zhan, AC Subramanian, F Yao, I Hoteit Journal of Geophysical Research: Oceans 119 (6), 3909-3925, 2014 | 162 | 2014 |
| How does El Niño–Southern Oscillation change under global warming—A first look at CMIP6 HB Fredriksen, J Berner, AC Subramanian, A Capotondi Geophysical Research Letters 47 (22), e2020GL090640, 2020 | 161 | 2020 |
| Coupled impacts of the diurnal cycle of sea surface temperature on the Madden–Julian oscillation H Seo, AC Subramanian, AJ Miller, NR Cavanaugh Journal of Climate 27 (22), 8422-8443, 2014 | 144 | 2014 |
| Integrated observations of global surface winds, currents, and waves: requirements and challenges for the next decade AB Villas Bôas, F Ardhuin, A Ayet, MA Bourassa, P Brandt, B Chapron, ... Frontiers in Marine Science 6, 434339, 2019 | 128 | 2019 |
| A limited role for unforced internal variability in twentieth-century warming K Haustein, FEL Otto, V Venema, P Jacobs, K Cowtan, Z Hausfather, ... Journal of Climate 32 (16), 4893-4917, 2019 | 117 | 2019 |
| Improving atmospheric river forecasts with machine learning WE Chapman, AC Subramanian, L Delle Monache, SP Xie, FM Ralph Geophysical Research Letters 46 (17-18), 10627-10635, 2019 | 110 | 2019 |
| Seasonal-to-interannual prediction of North American coastal marine ecosystems: Forecast methods, mechanisms of predictability, and priority developments MG Jacox, MA Alexander, S Siedlecki, K Chen, YO Kwon, S Brodie, I Ortiz, ... Progress in Oceanography 183, 102307, 2020 | 107 | 2020 |
| Towards implementing artificial intelligence post-processing in weather and climate: Proposed actions from the Oxford 2019 workshop SE Haupt, W Chapman, SV Adams, C Kirkwood, JS Hosking, ... Philosophical Transactions of the Royal Society A 379 (2194), 20200091, 2021 | 99 | 2021 |
| The eddy kinetic energy budget in the Red Sea P Zhan, AC Subramanian, F Yao, AR Kartadikaria, D Guo, I Hoteit Journal of Geophysical Research: Oceans 121 (7), 4732-4747, 2016 | 98 | 2016 |
| A road map to IndOOS-2: Better observations of the rapidly warming Indian Ocean LM Beal, J Vialard, MK Roxy, J Li, M Andres, H Annamalai, M Feng, ... Bulletin of the American Meteorological Society 101 (11), E1891-E1913, 2020 | 93 | 2020 |
| West Coast forecast challenges and development of atmospheric river reconnaissance FM Ralph, F Cannon, V Tallapragada, CA Davis, JD Doyle, ... Bulletin of the American Meteorological Society 101 (8), E1357-E1377, 2020 | 92 | 2020 |
| Climate SPHINX: evaluating the impact of resolution and stochastic physics parameterisations in the EC-Earth global climate model P Davini, J von Hardenberg, S Corti, HM Christensen, S Juricke, ... Geoscientific Model Development 10 (3), 1383-1402, 2017 | 86 | 2017 |
| A sustained ocean observing system in the Indian Ocean for climate related scientific knowledge and societal needs JC Hermes, Y Masumoto, LM Beal, MK Roxy, J Vialard, M Andres, ... Frontiers in Marine Science 6, 355, 2019 | 78 | 2019 |
| The Madden–Julian oscillation in CCSM4 AC Subramanian, M Jochum, AJ Miller, R Murtugudde, RB Neale, ... Journal of Climate 24 (24), 6261-6282, 2011 | 76 | 2011 |
| Probabilistic predictions from deterministic atmospheric river forecasts with deep learning WE Chapman, L Delle Monache, S Alessandrini, AC Subramanian, ... Monthly Weather Review 150 (1), 215-234, 2022 | 70 | 2022 |
| Towards an end-to-end analysis and prediction system for weather, climate, and marine applications in the red sea I Hoteit, Y Abualnaja, S Afzal, B Ait-El-Fquih, T Akylas, C Antony, ... Bulletin of the American Meteorological Society 102 (1), E99-E122, 2021 | 70 | 2021 |
Arthur J. (Art) MillerScripps Institution of OceanographyVerified email at ucsd.edu
