| Challenges and prospects in ocean circulation models B Fox-Kemper, A Adcroft, CW Böning, EP Chassignet, E Curchitser, ... Frontiers in Marine Science 6, 65, 2019 | 250 | 2019 |
| Coupled data assimilation for integrated earth system analysis and prediction SG Penny, TM Hamill Bulletin of the American Meteorological Society 98 (7), ES169-ES172, 2017 | 120 | 2017 |
| Assimilating atmospheric observations into the ocean using strongly coupled ensemble data assimilation TC Sluka, SG Penny, E Kalnay, T Miyoshi Geophysical Research Letters 43 (2), 752-759, 2016 | 113 | 2016 |
| Ocean reanalyses: recent advances and unsolved challenges A Storto, A Alvera-Azcárate, MA Balmaseda, A Barth, M Chevallier, ... Frontiers in Marine Science 6, 418, 2019 | 110 | 2019 |
| Comparison of algorithms for synthesizing weather avoidance routes in transition airspace J Krozel, S Penny, J Prete, J Mitchell AIAA Guidance, Navigation, and Control Conference and Exhibit, 4790, 2004 | 99 | 2004 |
| A hybrid global ocean data assimilation system at NCEP SG Penny, DW Behringer, JA Carton, E Kalnay Monthly Weather Review 143 (11), 4660-4677, 2015 | 92 | 2015 |
| A local particle filter for high-dimensional geophysical systems SG Penny, T Miyoshi Nonlinear Processes in Geophysics 23 (6), 391-405, 2016 | 85 | 2016 |
| Outlook for exploiting artificial intelligence in the earth and environmental sciences SA Boukabara, V Krasnopolsky, SG Penny, JQ Stewart, A McGovern, ... Bulletin of the American Meteorological Society 102 (5), E1016-E1032, 2021 | 78 | 2021 |
| Temperature and salinity variability in the SODA3, ECCO4r3, and ORAS5 ocean reanalyses, 1993–2015 JA Carton, SG Penny, E Kalnay Journal of Climate 32 (8), 2277-2293, 2019 | 75 | 2019 |
| The Hybrid Local Ensemble Transform Kalman Filter S Penny Monthly Weather Review 142 (6), 2139–2149, 2014 | 73 | 2014 |
| Strongly coupled data assimilation in multiscale media: Experiments using a quasi‐geostrophic coupled model SG Penny, E Bach, K Bhargava, CC Chang, C Da, L Sun, T Yoshida Journal of Advances in Modeling Earth Systems 11 (6), 1803-1829, 2019 | 72 | 2019 |
| Coupled data assimilation for integrated earth system analysis and prediction: goals, challenges, and recommendations SG Penny | 67 | 2017 |
| Automated route generation for avoiding deterministic weather in transition airspace J Krozel, S Penny, J Prete, JSB Mitchell Journal of Guidance, Control, and Dynamics 30 (1), 144-153, 2007 | 66 | 2007 |
| Improving NCEP’s global-scale wave ensemble averages using neural networks RM Campos, V Krasnopolsky, JH Alves, SG Penny Ocean Modelling 149, 101617, 2020 | 48 | 2020 |
| An algorithmic approach for airspace flow programs J Krozel, R Jakobovits, S Penny Air Traffic Control Quarterly 14 (3), 203-229, 2006 | 45 | 2006 |
| Integrating recurrent neural networks with data assimilation for scalable data‐driven state estimation SG Penny, TA Smith, TC Chen, JA Platt, HY Lin, M Goodliff, ... Journal of Advances in Modeling Earth Systems 14 (3), e2021MS002843, 2022 | 44 | 2022 |
| Observational needs for improving ocean and coupled reanalysis, S2S prediction, and decadal prediction SG Penny, S Akella, MA Balmaseda, P Browne, JA Carton, M Chevallier, ... Frontiers in Marine Science 6, 391, 2019 | 41 | 2019 |
| A systematic exploration of reservoir computing for forecasting complex spatiotemporal dynamics JA Platt, SG Penny, TA Smith, TC Chen, HDI Abarbanel Neural Networks 153, 530-552, 2022 | 39 | 2022 |
| The local ensemble transform Kalman filter and the running-in-place algorithm applied to a global ocean general circulation model S Penny, E Kalnay, J Carton, T Miyoshi, K Ide, G Chepurin Nonlinear Processes in Geophysics 20, 1031-1046, 2013 | 35 | 2013 |
| An investigation of ocean model uncertainties through ensemble forecast experiments in the Southwest Atlantic Ocean LN Lima, LP Pezzi, SG Penny, CAS Tanajura Journal of Geophysical Research: Oceans 124 (1), 432-452, 2019 | 34 | 2019 |
