: Efficient Hybrid Model of Field and Energy Flow in Interconnected Wave Chaotic Systems S Anlage, S Ma, S Phang, Z Drikas, B Addisie, R Hong, V Blakaj, ... Bulletin of the American Physical Society 65, 2020 | | 2020 |
1 993, Chaos in Dynamical Systems E Ott Cambridge University Press, 0 | 6 | |
6.4 USE OF THE BREEDING TECHNIQUE IN THE ESTIMATION OF THE BACKGROUND COVARIANCE MATRIX FOR A QUASI-GEOSTROPHIC MODEL M Corazza, E Kalnay, DJ Patil, E Ott, JA Yorke, BR Hunt, I Szunyogh, ... | 1 | |
A composite state method for ensemble data assimilation with multiple limited-area models M Kretschmer, BR Hunt, E Ott, CH Bishop, S Rainwater, I Szunyogh Tellus A: Dynamic Meteorology and Oceanography 67 (1), 26495, 2015 | 6 | 2015 |
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 | 39 | 2022 |
A hybrid atmospheric model incorporating machine learning can capture dynamical processes not captured by its physics-based component T Arcomano, I Szunyogh, A Wikner, BR Hunt, E Ott Authorea Preprints, 2022 | 3 | 2022 |
A hybrid atmospheric model incorporating machine learning can capture dynamical processes not captured by its physics‐based component T Arcomano, I Szunyogh, A Wikner, BR Hunt, E Ott Geophysical Research Letters 50 (8), e2022GL102649, 2023 | 10 | 2023 |
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 | 1051 | 2004 |
A local ensemble Kalman filter for the NCEP GFS model I Szunyogh, E Kostelich, G Gyarmati, BR Hunt, E Ott, AV Zimin, E Kalnay, ... Bulletin of the American Meteorological Society, 67-77, 2004 | 1 | 2004 |
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 | 238 | 2008 |
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 | 123 | 2020 |
A network function-based definition of communities in complex networks S Chauhan, M Girvan, E Ott Chaos: An Interdisciplinary Journal of Nonlinear Science 22 (3), 2012 | 4 | 2012 |
A Note on the Long Time Evolution of Phase Oscillator Systems E Ott, BR Hunt, TM Antonsen | | 2010 |
A physical system with qualitatively uncertain dynamics JC Sommerer, E Ott Nature 365 (6442), 138-140, 1993 | 156 | 1993 |
A Random Matrix Approach for Understanding Wave Statistics from Wireless Communications to Quantum Dots JH Yeh, E Ott, T Antonsen, S Anlage APS March Meeting Abstracts 2012, T53. 009, 2012 | | 2012 |
A scaling law: how an attractor's volume depends on noise level E Ott, ED Yorke, JA Yorke Physica D: Nonlinear Phenomena 16 (1), 62-78, 1985 | 61 | 1985 |
A statistical model for the excitation of cavities through apertures G Gradoni, TM Antonsen, SM Anlage, E Ott IEEE Transactions on Electromagnetic Compatibility 57 (5), 1049-1061, 2015 | 42 | 2015 |
A.(1983)." Crises, Sudden Changes in Chaotic-4ttractors and Transient Chaos C Grebogi, E Ott, J Yorke Physica D 7, 181-200, 0 | 20* | |
Abbott, LF, see Kepler, TB 46 (1990) 449 S Bleher, C Grebogi, E Ott, HP Breuer, K Dietz, M Holthaus, B Castaing, ... Physica D 46, 460-462, 1990 | | 1990 |
Abed, EH, Wang, HO and Chen, RC, Stabilization of period doubling bifurcations and implica-tions for control of chaos Adler, VE, Nonlinear chains and Painlev6 equations Balk, A … M Ding, C Grebogi, E Ott, T Sauer, JA Yorke | | |