(RESEARCH AST, METEOROLOGICAL STUDIES)
Org Code: 610.1
NASA/GSFCEmployer: NASA
NASA Goddard Space Flight Center - Greenbelt, Maryland
1991 - Present
Universities Space Research Association - Greenbelt, Maryland
1991 - 1991
National Meteorological Center - Camp Springs, Maryland
1990 - 1991
Universidade Federal do Rio de Janeiro - Rio de Janeiro, Brazil
1988 - 1988
Universita di Catania - Catania, Italy
1987 - 1987
Pontificia Universidade Catolica do Rio de Janeiro - Rio de Janeiro, Brazil
1983 - 1985
Courant Institute of Mathematical Sciences, New York University - New York, New York
1982 - 1991
Ph.D., Mathematics, Courant Institute of Mathematical Sciences, New York University, 1982. Thesis Title: Methods of Sequential Estimation for Determining Initial Data in Numerical Weather Prediction
M.S., Mathematics, Courant Institute of Mathematical Sciences, New York University, 1978
B.S., Physics and Mathematics, Drexel University, 1976
1978 - Present
1976 - Present
1976 - Present
2016 - 2021: Assistant Chief, Global Modeling and Assimilation Office
2014 - 2021: Member, GMAO Strategic Management Team
2008 - 2009: Member, International Scientific Organizing Committee, Fifth WMO International Symposium on Data Assimilation, Melbourne, Australia
2005: Guest Editor, Quarterly Journal of the Royal Meteorological Society
2004 - 2005: Co-Chair, International Program Committee, Fourth WMO International Symposium on Assimilation of Observations in Meteorology and Oceanography, Prague, Czech Republic
2003 - 2008: Editor, Monthly Weather Review
2002 - 2003: Member, Scientific Committee, Roger Daley Memorial Symposium, Montreal, Canada
2002: Lecturer, NATO Advanced Study Institute (ASI) on Data Assimilation for the Earth System, Maratea, Italy
2000 - 2002: Chief Scientist for Analysis, Data Assimilation Office, GSFC
2000 - 2001: Ph.D. Thesis Supervisor (Tijana Janjic), University of Maryland College Park
2000 - 2001: Special Faculty, University of Maryland College Park
1998 - 2000: Associate Editor, Monthly Weather Review
1995: Member, Scientific Committee, Second UNAM-Cray Supercomputing Conference on Numerical Simulations in the Environmental and Earth Sciences, Mexico City, Mexico
1993 - 1998: Lead Scientist for GEOS Data Assimilation System Development, GSFC
1993 - 1995: Fellow, Joint Center for Earth System Science
1992, 2002: Branch Representative, Summer Institute on Atmospheric and Hydrospheric Sciences
1992 - 1998: Chair, GSFC Library Committee
1992 - 1994: Chair and Founding Member, Goddard Mathematics Group
As of October 2022:
Total Citations: 5,190
Total Publications: 108
H-Index: 25
I10-Index: 35
2020 - 2021: Lead, PDT, SAMDA II Contract
2017 - 2021: Alt-COR, SAMDA Contract
2016: COR, Remote Sensing Systems (RSS) Contract
2015 - 2016: Member, PDT, Support for Atmospheres, Modeling and Data Assimilation (SAMDA) Contract
2012 - 2013: Member, SEB, Information Sciences and Library Services (ISLS) Contract
2011 - 2012: Member, SEB, Support for Atmospheric Sciences (SAS) Contract
2011: Member, SEB, Global Modeling and Assimilation Office (GMAO) Contract
2006 - 2017: COTR, Global Modeling and Assimilation Office (GMAO) Contract
2005: Chair, SEB, Global Modeling and Assimilation Office (GMAO) Contract
2000: Member, SEB, Laboratory for Atmospheres (LAS) Contract
Gilpin, S., T. Matsuo, and S. E. Cohn. 2023. A generalized, compactly supported correlation function for data assimilation applications Quarterly Journal of the Royal Meteorological Society 149 (754): 1953-1989 [10.1002/qj.4490]
Wargan, K., B. Weir, G. L. Manney, et al. S. E. Cohn, K. E. Knowland, P. A. Wales, and N. J. Livesey. 2023. M2‐SCREAM: A Stratospheric Composition Reanalysis of Aura MLS Data With MERRA‐2 Transport Earth and Space Science 10 (2): e2022EA002632 [10.1029/2022ea002632]
Gilpin, S., T. Matsuo, and S. E. Cohn. 2022. Continuum Covariance Propagation for Understanding Variance Loss in Advective Systems SIAM/ASA Journal on Uncertainty Quantification 10 (3): 886-914 [10.1137/21m1442449]
Malings, C., K. E. Knowland, C. A. Keller, and S. E. Cohn. 2021. Sub‐City Scale Hourly Air Quality Forecasting by Combining Models, Satellite Observations, and Ground Measurements Earth and Space Science 8 (7): [10.1029/2021ea001743]
Wargan, K., B. Weir, G. L. Manney, S. E. Cohn, and N. J. Livesey. 2020. The Anomalous 2019 Antarctic Ozone Hole in the GEOS Constituent Data Assimilation System With MLS Observations Journal of Geophysical Research: Atmospheres 125 (18): [10.1029/2020jd033335]
Janjić, T., N. Bormann, M. Bocquet, et al. J. A. Carton, S. E. Cohn, S. L. Dance, S. N. Losa, N. K. Nichols, R. Potthast, J. A. Waller, and P. Weston. 2017. On the representation error in data assimilation Quarterly Journal of the Royal Meteorological Society 144 (713): 1257-1278 [10.1002/qj.3130]
Janjic, T., D. McLaughlin, S. E. Cohn, and M. Verlaan. 2014. Conservation of Mass and Preservation of Positivity with Ensemble-Type Kalman Filter Algorithms Mon. Wea. Rev. 142 (2): 755-773 [10.1175/MWR-D-13-00056.1]
Cacio, E., S. E. Cohn, and R. Spigler. 2012. Numerical treatment of degenerate diffusion equations via Feller's boundary classification, and applications Numerical Methods for Partial Differential Equations 28 (3): 807-833 [10.1002/num.20657]
Cohn, S. E. 2010. The principle of energetic consistency in data assimilation Data Assimilation: Making Sense of Observations Chapter 7 137--216 [10.1007/978-3-540-74703-1]
Cohn, S. E. 2009. Energetic Consistency and Coupling of the Mean and Covariance Dynamics Handbook of Numerical Analysis Vol. XIV, Special Volume: Computational Methods for the Atmosphere and the Oceans Chapter 10 443-478 [10.1016/s1570-8659(08)00210-x]
Janjić, T., and S. E. Cohn. 2006. Treatment of Observation Error due to Unresolved Scales in Atmospheric Data Assimilation Monthly Weather Review 134 (10): 2900-2915 [10.1175/mwr3229.1]
Gaspari, G., S. E. Cohn, J. Guo, and S. Pawson. 2006. Construction and application of covariance functions with variable length-fields Q.J.R. Meteorol. Soc. 132 (619): 1815-1838 [10.1256/qj.05.08]
Lyster, P. M., S. E. Cohn, B. Zhang, et al. L.-P. Chang, R. Menard, K. Olson, and R. Renka. 2004. A Lagrangian trajectory filter for constituent data assimilation Q. J. R. Meteorol. Soc. 130 (601): 2315-2334 [10.1256/qj.02.234]
Yang, R., S. Cohn, A. da Silva, J. Joiner, and P. R. Houser. 2003. Tangent linear analysis of the Mosaic land surface model J. Geophys. Res. 108 (D2): 4054 [10.1029/2002JD002410]
Zhu, Y., R. Todling, J. Guo, et al. S. E. Cohn, I. M. Navon, and Y. Yang. 2003. The GEOS-3 Retrospective Data Assimilation System: The 6-Hour Lag Case Mon. Weather Rev. 131 (9): 2129-2150 [10.1175/1520-0493(2003)131<2129:TGRDAS>2.0.CO;2]
Yang, R., S. E. Cohn, A. da Silva, J. Joiner, and P. Houser. 2003. Tangent linear analysis of the Mosaic land surface model J Geophys Res 108 (D2): 12-1 - 12-16
Tippett, M. K., and S. E. Cohn. 2001. Adjoints and low-rank covariance representation Nonlinear Processes in Geophysics 8 (6): 331-340 [10.5194/npg-8-331-2001]
Tippett, M. K., S. E. Cohn, R. Todling, and D. Marchesin. 2000. Low-dimensional representation of error covariance Tellus 52A (5): 533-553
Tippett, M. K., S. E. Cohn, R. Todling, and D. Marchesin. 2000. Conditioning of the Stable, Discrete-Time Lyapunov Operator SIAM. J. Matrix Anal. & Appl. 22 (1): 56-65 [10.1137/S0895479899354822]
M'enard, R., S. E. Cohn, L.-P. Chang, and P. M. Lyster. 2000. Assimilation of stratospheric chemical tracer observations using a Kalman filter. Part I: Formulation Monthly Weather Review 128 (8): 2654--2671
Gaspari, G., and S. E. Cohn. 1999. Construction of correlation functions in two and three dimensions Quarterly Journal of the Royal Meteorological Society 125 (554): 723-757 [10.1256/smsqj.55416]
Todling, R., S. E. Cohn, and N. S. Sivakumaran. 1998. Suboptimal Schemes for Retrospective Data Assimilation Based on the Fixed-Lag Kalman Smoother Monthly Weather Review 126 (8): 2274-2286 [http://dx.doi.org/10.1175/1520-0493(1998)126<2274:]
Li, Y., R. Ménard, L. P. Riishøjgaard, S. E. Cohn, and R. B. Rood. 1998. A study on assimilating potential vorticity data Tellus A 50 (4): 490-506 [10.1034/j.1600-0870.1998.t01-2-00008.x]
Riishojgaard, L., S. E. Cohn, Y. Li, and R. M'enard. 1998. The use of spline interpolation in semi-Lagrangian transport models Monthly weather review 126 (7): 2008--2016
Cohn, S. E., A. Da Silva, J. Guo, M. Sienkiewicz, and D. Lamich. 1998. Assessing the Effects of Data Selection with the DAO Physical-Space Statistical Analysis System* Monthly Weather Review 126 (11): 2913--2926
Cohn, S. E. 1997. An introduction to estimation theory JOURNAL-METEOROLOGICAL SOCIETY OF JAPAN SERIES 2 75 147--178
Kalnay, E., D. L. Anderson, A. F. Bennett, et al. A. J. Busalacchi, S. E. Cohn, P. Courtier, J. Derber, A. C. Lorenc, D. Parrish, and T. Schlatter. 1997. Data assimilation in the ocean and in the atmosphere: what should be next? Journal of the Meteorological Society of Japan 75 (1B): 489--496
Lyster, P., S. E. Cohn, R. Menard, et al. L. Chang, S. Lin, and R. Olsen. 1997. Parallel implementation of a Kalman filter for constituent data assimilation Monthly weather review 125 (7): 1674--1686
Cohn, S. E., and R. Todling. 1996. Approximate data assimilation schemes for stable and unstable dynamics JOURNAL-METEOROLOGICAL SOCIETY OF JAPAN SERIES 2 74 63--75
Todling, R., and S. E. Cohn. 1994. Suboptimal Schemes for Atmospheric Data Assimilation Based on the Kalman Filter Monthly Weather Review 122 (11): 2530-2557 [http://dx.doi.org/10.1175/1520-0493(1994)122<2530:]
Cohn, S. E., N. S. Sivakumaran, and R. Todling. 1994. A fixed-lag Kalman smoother for retrospective data assimilation Monthly Weather Review 122 (12): 2838-2867 [http://dx.doi.org/10.1175/1520-0493(1994)122<2838:]
Cohn, S. E. 1993. Dynamics of short-term univariate forecast error covariances Monthly weather review 121 (11): 3123--3149
Augenbaum, J., S. E. Cohn, and D. Marchesin. 1991. Eliminating grid-orientation errors in alternating-direction implicit schemes Applied Numerical Mathematics 8 (1): 1-10 [10.1016/0168-9274(91)90094-g]
Cohn, S. E., and D. F. Parrish. 1991. The behavior of forecast error covariances for a Kalman filter in two dimensions Monthly Weather Review 119 (8): 1757--1785
Cohn, S. E., and D. P. Dee. 1989. An analysis of the vertical structure equation for arbitrary thermal profiles Quarterly Journal of the Royal Meteorological Society 115 (485): 143-171 [10.1002/qj.49711548508]
Cohn, S. E., and D. P. Dee. 1988. Observability of Discretized Partial Differential Equations SIAM Journal on Numerical Analysis 25 (3): 586-617 [10.1137/0725037]
Dee, D., S. Cohn, A. Dalcher, and M. Ghil. 1985. An efficient algorithm for estimating noise covariances in distributed systems IEEE Transactions on Automatic Control 30 (11): 1057-1065 [10.1109/tac.1985.1103837]
Augenbaum, J. M., S. E. Cohn, E. Isaacson, D. P. Dee, and D. Marchesin. 1985. A factored implicit scheme for numerical weather prediction Comm. Pure Appl. Math. 38 (5): 503-517 [10.1002/cpa.3160380504]
Cohn, S. E., D. Dee, D. Marchesin, E. Isaacson, and G. Zwas. 1985. A fully implicit scheme for the barotropic primitive equations Monthly weather review 113 (4): 436--448