Texas A&M University
1010A O&M Building
Department of Atmospheric Sciences
College Station, Texas 77843
Link to ResearcherID Profile
Full Academic CV with Complete List of Publications:
Dr. Istvan Szunyogh
Ph.D., Earth Sciences, Hungarian Academy of Sciences, Budapest, Hungary
Diploma, Meteorology, Eotvos Lorand University, Budapest, Hungary
My group employs advanced applied mathematical and statistical techniques to improve numerical weather prediction products. Our main focus is on the Earth's atmosphere, but the techniques we develop are also applicable to a wide range of complex physical systems. Our work involves both theoretical investigation and numerical experimentation with simple idealized and complex state-of-the-art numerical models. We carry out research in the following specific areas:
- Numerical weather prediction
- Ensemble forecasting
- Data assimilation
- Dynamical systems
- Predictability of the atmosphere and other complex systems
- Local dynamics of atmospheric instabilities
- Professor, September 2012-Present; Department of Atmospheric Sciences, Texas A&M University
- Professor, February 2009-Present; Department of Atmospheric Sciences, Texas A&M University
- Associate Research Scientist, July 2005–January 2009; Institute for Physical Science and Technology and Department of Atmospheric and Oceanic Science (formerly Department of Meteorology), Member of the Applied Mathematics and Scientiﬁc Computation Graduate Program and the Burgers Program for Fluid Dynamics, University of Maryland
- Assistant Research Scientist, February 2001–June 2005; Institute for Physical Science and Technology and Department of Meteorology, University of Maryland
- Visiting Scientist, September 1997–February 2001; University Corporation for Atmospheric Research (UCAR), based at the Environmental Modeling Center, National Centers for Environmental Prediction (formerly NMC), National Weather Service
- Postdoctoral Associate, March 1997–September 1997; Department of Earth, Atmospheric, and Planetary Sciences, Massachusetts Institute of Technology, Cambridge, Massachusetts, based at NCEP
- Postdoctoral Visiting Scientist, September 1996–February 1997; Mesoscale and Microscale Meteorology Division, National Center for Atmospheric Research, Boulder, Colorado, based at NCEP
- Visiting Scientist at the Program “Mathematics of the Atmosphere and Ocean Dynamics” (July 1996-September 1996), Isaac Newton Institute for Mathematical Sciences, Cambridge, United Kingdom
- Magyary Zoltan Postdoctoral Fellow, September 1995–August 1996; Department of Meteorology, E¨otv¨os Lorand University, Budapest, Hungary
- Research Scientist, September 1998–September 1999 (on leave); Department of Meteorology, Eotvos Lorand University, Budapest, Hungary
- Research Associate, September 1991–September 1998 (on leave after September 1995), Department of Meteorology, Eotvos Lorand University, Budapest, Hungary
* indicates a student and ** indicates a postdoctoral associate, whose research was advised or co-advised by I. S.
Most Recent Publications
- Holt*, C. R., I. Szunyogh, G. Gyarmati, 2012: Can a moderate resolution limited-area data assimilation system add value to the global analysis of tropical cyclones? Submitted.
- Kavulich*, M. J., I. Szunyogh, G. Gyarmati, and R. J. Wilson, 2012: Local dynamics of baroclinic waves in the Martian atmosphere. Submitted.
- Yoon*, Y.-N., B. R. Hunt, E. Ott and I. Szunyogh, 2012: Ensemble regional data assimilation using joint states. Tellus, in press.
- Jun, M., I. Szunyogh, M. C. Genton, F. Zhang, C. H. Bishop, 2011: A statistical investigation of the sensitivity of ensemble based Kalman filters to covariance filtering. Mon. Wea. Rev., 139, 3036--3051.
- Merkova*, D., I. Szunyogh, E. Ott, 2011: Strategies for coupling global and limited-area ensemble Kalman filter assimilation. Nonlin. Processes Geophys., 18, 415-430.
- Li*, H., J. Liu, E. Fertig, E. Kalnay, E. J. Kostelich, and I. Szunyogh, 2011: Improved analyses and forecasts with AIRS temperature retrievals using the Local Ensemble Transform Kalman Filter. Journal of Tropical Meteorology, 17, 43-49.
- Satterfield*, E., I. Szunyogh, 2011: Assessing the performance of an ensemble forecast system in predicting the magnitude and spectrum of analysis and forecast uncertainties. Mon. Wea. Rev., 139, 1207-1223.
- Satterfield*, E. and I. Szunyogh, 2010: Predictability of the performance of an ensemble forecast system: Predictability of the space of uncertainties. Mon. Wea. Rev., 138, 962-981.
- Yoon*, Y.-N., E. Ott, I. Szunyogh, 2010: On the propagation of information and the use of localization in ensemble Kalman filtering. J. Atmos. Sci., 67, 3823-3834.
- Hoffman*, M. J., S. J. Greybush*, R. J. Wilson, G. Gyarmati, R. N. Hoffman, K. Ide, E. Kostelich, T. Miyoshi, I. Szunyogh, E. Kalnay, 2010: An ensemble Kalman filter data assimilation system for the Martian atmosphere: Implementation and simulation experiments. Icarus, 209, 470-481.
- Szunyogh, I., E. J. Kostelich, G. Gyarmati, E. Kalnay, B. R. Hunt, E. Ott, E. Satterfield*, and J. A. Yorke, 2008: A Local Ensemble Transform Kalman Filter data assimilation system for the NCEP global model. Tellus, 60A, 113-130.
Other Selected Publications
- Szunyogh, I., E. J. Kostelich, G. Gyarmati, E. Kalnay, B. R. Hunt, E. Ott, E. Satterfield*, and J. A. Yorke, 2008: A Local Ensemble Transform Kalman Filter data assimilation system for the NCEP global model. Tellus,60A, 113-130.
- Hunt, B. R., E. J. Kostelich, and I. Szunyogh, 2007: Efficient data assimilation for spatiotemporal chaos: a Local Ensemble Transform Kalman Filter. Physica D, 230, 112-126.
- Kuhl*, D., I. Szunyogh, E. Kostelich, G. Gyarmati, E. Kalnay, B. R. Hunt, E. Ott, J. A. Yorke, 2007: Assessing predictability with a Local Ensemble Kalman Filter. J. Atmos. Sci.,64, 1116-1140.
- Baek*, S.-J., B. R. Hunt, I. Szunyogh, and E. Ott, 2006: Local ensemble Kalman ﬁltering in the presence of model bias. Tellus, 58A, 293-306.
- Szunyogh I., E. J. Kostelich, G. Gyarmati, D. J. Patil, B. R. Hunt, E. Kalnay, E. Ott, and J. A. Yorke, 2005: Assessing a local ensemble Kalman ﬁlter: Perfect model experiments with the NCEP global model. Tellus, 57A, 528-545.
- Oczkowski*, M., I. Szunyogh, and D. J. Patil, 2005: Mechanisms for the development of locally low dimensional atmospheric dynamics. J. Atmos. Sci.,65, 1135-1156.
- Ott, E., B. R. Hunt, I. Szunyogh, A. V. Zimin*, E. J. Kostelich, M. Corazza*, E. Kalnay, D. J. Patil, and J. A. Yorke, 2004: A local ensemble Kalman ﬁlter for atmospheric data assimilation. Tellus,56A, 415-428.
- Zimin*, A. V., I. Szunyogh, D. J. Patil, B. R. Hunt, and E. Ott, 2003: Extracting envelopes of Rossby wave packets. Mon. Wea. Rev., 131, 1011-1017.
- Szunyogh, I., Z. Toth, A. V. Zimin*, S. Ma jumdar, and. A Persson, 2002: Propagation of the effect of targeted weather observations: The 2000 Winter Storm Reconnaissance program. Mon. Wea. Rev.,130, 1144-1165.
- Szunyogh, I, and Z. Toth, 2002: The effect of increased horizontal resolution on the NCEP global ensemble mean forecasts. Mon. Wea. Rev.,130, 1125-1143.
- Szunyogh, I., Z. Toth, R. E. Morss, S. J. Ma jumdar, B. J. Etherton, and C. H. Bishop, 2000: The effect of targeted dropsonde observations during the 1999 Winter Storm Reconnaissance program. Mon. Wea. Rev.,128, 3520-3537.
- Szunyogh, I., Z. Toth, K. A. Emanuel, C. H. Bishop, C. Snyder, J. Woolen, T. Marchok, and R. Morss, 1999: Ensemble-based targeting experiments during FASTEX: The impact of dropsonde data from the Lear jet Quart. J. Roy. Met. Soc., 125, 3520-3537.
- Kadar, B., I. Szunyogh, D. Devenyi, On the origin of model errors. Part II. Effects of the spatial discretization for Hamiltonian systems. Idojaras, 102, 71-107.
- McLachlan, R. I., I. Szunyogh, and V. Zeitlin, 1997: Hamiltonian ﬁnite-dimensional models of baroclinic instability. Phys. Let. A,229, 299-305.
- Szunyogh I., E. Kalnay, and Z. Toth, 1997: A comparison of Lyapunov and optimal vectors in a low-resolution GCM. Tellus, 49A, 200-227.
- Szunyogh I., 1993: Finite-dimensional quasi-Hamiltonian structure in simple model equations. Meteorology and Atmospheric Physics,52, 49-57.