| Efficient data assimilation for spatiotemporal chaos: A local ensemble transform Kalman filter BR Hunt, EJ Kostelich, I Szunyogh Physica D: Nonlinear Phenomena 230 (1-2), 112-126, 2007 | 1957 | 2007 |
| A local ensemble Kalman filter for atmospheric data assimilation E Ott, BR Hunt, I Szunyogh, AV Zimin, EJ Kostelich, M Corazza, E Kalnay, ... Tellus A: Dynamic Meteorology and Oceanography 56 (5), 415-428, 2004 | 1080 | 2004 |
| Four-dimensional ensemble Kalman filtering BR Hunt, E Kalnay, EJ Kostelich, E Ott, DJ Patil, T Sauer, I Szunyogh, ... Tellus A: Dynamic Meteorology and Oceanography 56 (4), 273-277, 2004 | 307 | 2004 |
| The North Pacific Experiment (NORPEX-98): targeted observations for improved North American weather forecasts RH Langland, Z Toth, R Gelaro, I Szunyogh, MA Shapiro, SJ Majumdar, ... Bulletin of the American Meteorological Society 80 (7), 1363-1384, 1999 | 252 | 1999 |
| A local ensemble transform Kalman filter data assimilation system for the NCEP global model I Szunyogh, EJ Kostelich, G Gyarmati, E Kalnay, BR Hunt, E Ott, ... Tellus A: Dynamic Meteorology and Oceanography 60 (1), 113-130, 2008 | 244 | 2008 |
| The effect of targeted dropsonde observations during the 1999 Winter Storm Reconnaissance Program I Szunyogh, Z Toth, RE Morss, SJ Majumdar, BJ Etherton, CH Bishop Monthly Weather Review 128 (10), 3520-3537, 2000 | 182 | 2000 |
| Assessing a local ensemble Kalman filter: Perfect model experiments with the National Centers for Environmental Prediction global model I Szunyogh, EJ Kostelich, G Gyarmati, DJ Patil, BR Hunt, E Kalnay, E Ott, ... Tellus A: Dynamic Meteorology and Oceanography 57 (4), 528-545, 2005 | 168 | 2005 |
| A machine learning‐based global atmospheric forecast model T Arcomano, I Szunyogh, J Pathak, A Wikner, BR Hunt, E Ott Geophysical Research Letters 47 (9), e2020GL087776, 2020 | 147 | 2020 |
| Propagation of the effect of targeted observations: The 2000 Winter Storm Reconnaissance Program I Szunyogh, Z Toth, AV Zimin, SJ Majumdar, A Persson Monthly weather review 130 (5), 1144-1165, 2002 | 138 | 2002 |
| Extracting envelopes of Rossby wave packets AV Zimin, I Szunyogh, DJ Patil, BR Hunt, E Ott Monthly weather review 131 (5), 1011-1017, 2003 | 128 | 2003 |
| Local ensemble Kalman filtering in the presence of model bias SJ Baek, BR Hunt, E Kalnay, E Ott, I Szunyogh Tellus A: Dynamic Meteorology and Oceanography 58 (3), 293-306, 2006 | 127 | 2006 |
| Use of the breeding technique to estimate the structure of the analysis" errors of the day" M Corazza, E Kalnay, DJ Patil, SC Yang, R Morss, M Cai, I Szunyogh, ... Nonlinear Processes in Geophysics 10 (3), 233-243, 2003 | 111 | 2003 |
| Sensitivity of forecast errors to initial conditions with a quasi-inverse linear method ZX Pu, E Kalnay, J Sela, I Szunyogh Monthly weather review 125 (10), 2479-2503, 1997 | 109 | 1997 |
| Combining machine learning with knowledge-based modeling for scalable forecasting and subgrid-scale closure of large, complex, spatiotemporal systems A Wikner, J Pathak, B Hunt, M Girvan, T Arcomano, I Szunyogh, ... Chaos: An Interdisciplinary Journal of Nonlinear Science 30 (5), 2020 | 87 | 2020 |
| Can an ensemble transform Kalman filter predict the reduction in forecast‐error variance produced by targeted observations? SJ Majumdar, CH Bishop, BJ Etherton, I Szunyogh, Z Toth Quarterly Journal of the Royal Meteorological Society 127 (578), 2803-2820, 2001 | 87 | 2001 |
| A comparison of Lyapunov and optimal vectors in a low-resolution GCM I Szunyogh, E Kalnay, Z Toth Tellus A: Dynamic Meteorology and Oceanography 49 (2), 200-227, 1997 | 81 | 1997 |
| Ensemble‐based targeting experiments during FASTEX: The effect of dropsonde data from the lear jet I Szunyogh, Z Toth, KA Emanuel, CH Bishop, C Snyder, RE Morss, ... Quarterly Journal of the Royal Meteorological Society 125 (561), 3189-3217, 1999 | 78 | 1999 |
| A hybrid approach to atmospheric modeling that combines machine learning with a physics‐based numerical model T Arcomano, I Szunyogh, A Wikner, J Pathak, BR Hunt, E Ott Journal of Advances in Modeling Earth Systems 14 (3), e2021MS002712, 2022 | 72 | 2022 |
| Observation bias correction with an ensemble Kalman filter E Fertig, SJ Baek, B Hunt, E Ott, I Szunyogh, J Aravéquia, E Kalnay, H Li, ... Tellus A: Dynamic Meteorology and Oceanography 61 (2), 210-226, 2009 | 67 | 2009 |
| Assimilating non-local observations with a local ensemble Kalman filter EJ Fertig, BR Hunt, E Ott, I Szunyogh Tellus A: Dynamic Meteorology and Oceanography 59 (5), 719-730, 2007 | 67 | 2007 |
