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Edward Ott
Edward Ott
Verified email at umd.edu
Title
Cited by
Year
: 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
62015
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
392022
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
32022
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
102023
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
10512004
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
12004
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
2382008
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
1232020
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
42012
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
1561993
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
611985
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
422015
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
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Articles 1–20

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