Ionel Michael Navon
Ionel Michael Navon
Other namesIonel M Navon, I. MIchael Navon, Navon IM
Professor Emeritus of Scientific Computing, Florida State University
Verified email at - Homepage
Cited by
Cited by
Sensitivity and uncertainty analysis, volume II: applications to large-scale systems
DG Cacuci, M Ionescu-Bujor, IM Navon
CRC press, 2005
Variational data assimilation with an adiabatic version of the NMC spectral model
IM Navon, X Zou, J Derber, J Sela
Monthly weather review 120 (7), 1433-1446, 1992
Practical and theoretical aspects of adjoint parameter estimation and identifiability in meteorology and oceanography
IM Navon
Dynamics of Atmospheres and Oceans 27 (1-4), 55-79, 1998
Conjugate-gradient methods for large-scale minimization in meteorology
Monthly Weather Review 115 (8), 1479-1502, 1987
Data assimilation for numerical weather prediction: a review
IM Navon
Data assimilation for atmospheric, oceanic and hydrologic applications, 21-65, 2009
A reduced‐order approach to four‐dimensional variational data assimilation using proper orthogonal decomposition
Y Cao, J Zhu, IM Navon, Z Luo
International Journal for Numerical Methods in Fluids 53 (10), 1571-1583, 2007
Second-order information in data assimilation
FX Le Dimet, IM Navon, DN Daescu
Monthly Weather Review 130 (3), 629-648, 2002
The second order adjoint analysis: theory and applications
Z Wang, IM Navon, FX Le Dimet, X Zou
Meteorology and atmospheric physics 50, 3-20, 1992
Numerical experience with limited-memory quasi-Newton and truncated Newton methods
X Zou, IM Navon, M Berger, KH Phua, T Schlick, FX Le Dimet
SIAM Journal on Optimization 3 (3), 582-608, 1993
An optimal nudging data assimilation scheme using parameter estimation
X Zou, IM Navon, FX LeDimet
Quarterly Journal of the Royal Meteorological Society 118 (508), 1163-1186, 1992
Non-linear model reduction for the Navier–Stokes equations using residual DEIM method
D Xiao, F Fang, AG Buchan, CC Pain, IM Navon, J Du, G Hu
Journal of Computational Physics 263, 1-18, 2014
POD/DEIM nonlinear model order reduction of an ADI implicit shallow water equations model
R Ştefănescu, IM Navon
Journal of Computational Physics 237, 95-114, 2013
Optimality of variational data assimilation and its relationship with the Kalman filter and smoother
Z Li, IM Navon
Quarterly Journal of the Royal Meteorological Society 127 (572), 661-683, 2001
Reduced-order modeling of the upper tropical pacific ocean model using proper orthogonal decomposition
Y Cao, J Zhu, Z Luo, IM Navon
Computers & mathematics with Applications 52 (8-9), 1373-1386, 2006
Non-intrusive reduced order modelling of the Navier–Stokes equations
D Xiao, F Fang, AG Buchan, CC Pain, IM Navon, A Muggeridge
Computer Methods in Applied Mechanics and Engineering 293, 522-541, 2015
Objective analysis of pseudostress over the Indian Ocean using a direct-minimization approach
DM Legler, IM Navon, JJ O'Brien
Monthly Weather Review 117 (4), 709-720, 1989
Long lead-time daily and monthly streamflow forecasting using machine learning methods
M Cheng, F Fang, T Kinouchi, IM Navon, CC Pain
Journal of Hydrology 590, 125376, 2020
Optimal control of cylinder wakes via suction and blowing
Z Li, IM Navon, MY Hussaini, FX Le Dimet
Computers & Fluids 32 (2), 149-171, 2003
Variational data assimilation with moist threshold processes using the NMC spectral model
X Zou, IM Navon, JG Sela
Tellus A: Dynamic Meteorology and Oceanography 45 (5), 370-387, 1993
Comparison of POD reduced order strategies for the nonlinear 2D shallow water equations
R Ştefănescu, A Sandu, IM Navon
International Journal for Numerical Methods in Fluids 76 (8), 497-521, 2014
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