Year |
Citation |
Score |
2020 |
Pawar S, Ahmed SE, San O, Rasheed A, Navon IM. Long short-term memory embedded nudging schemes for nonlinear data assimilation of geophysical flows Physics of Fluids. 32: 76606. DOI: 10.1063/5.0012853 |
0.354 |
|
2020 |
Cheng M, Fang F, Kinouchi T, Navon I, Pain C. Long lead-time daily and monthly streamflow forecasting using machine learning methods Journal of Hydrology. 590: 125376. DOI: 10.1016/J.Jhydrol.2020.125376 |
0.347 |
|
2020 |
Cheng M, Fang F, Pain CC, Navon IM. An advanced hybrid deep adversarial autoencoder for parameterized nonlinear fluid flow modelling Computer Methods in Applied Mechanics and Engineering. 372: 113375. DOI: 10.1016/J.Cma.2020.113375 |
0.375 |
|
2020 |
Cheng M, Fang F, Pain CC, Navon IM. Data-driven modelling of nonlinear spatio-temporal fluid flows using a deep convolutional generative adversarial network Computer Methods in Applied Mechanics and Engineering. 365: 113000. DOI: 10.1016/J.Cma.2020.113000 |
0.333 |
|
2020 |
Steppeler J, Li J, Fang F, Navon IM. Third-order sparse grid generalized spectral elements on hexagonal cells for uniform-speed advection in a plane Meteorology and Atmospheric Physics. 132: 703-719. DOI: 10.1007/S00703-019-00718-0 |
0.429 |
|
2020 |
Abbaszadeh M, Dehghan M, Navon IM. A proper orthogonal decomposition variational multiscale meshless interpolating element‐free Galerkin method for incompressible magnetohydrodynamics flow International Journal For Numerical Methods in Fluids. 92: 1415-1436. DOI: 10.1002/Fld.4834 |
0.336 |
|
2020 |
Ahmed SE, San O, Bistrian DA, Navon IM. Sampling and resolution characteristics in reduced order models of shallow water equations: intrusive vs non‐intrusive International Journal For Numerical Methods in Fluids. 92: 992-1036. DOI: 10.1002/Fld.4815 |
0.399 |
|
2019 |
Ahmed SE, Rahman SM, San O, Rasheed A, Navon IM. Memory embedded non-intrusive reduced order modeling of non-ergodic flows Physics of Fluids. 31: 126602. DOI: 10.1063/1.5128374 |
0.433 |
|
2019 |
Hu R, Fang F, Pain CC, Navon IM. Rapid spatio-temporal flood prediction and uncertainty quantification using a deep learning method Journal of Hydrology. 575: 911-920. DOI: 10.1016/J.Jhydrol.2019.05.087 |
0.372 |
|
2019 |
Xiao D, Heaney C, Fang F, Mottet L, Hu R, Bistrian D, Aristodemou E, Navon I, Pain C. A domain decomposition non-intrusive reduced order model for turbulent flows Computers & Fluids. 182: 15-27. DOI: 10.1016/J.Compfluid.2019.02.012 |
0.381 |
|
2019 |
Xiao D, Fang F, Heaney C, Navon I, Pain C. A domain decomposition method for the non-intrusive reduced order modelling of fluid flow Computer Methods in Applied Mechanics and Engineering. 354: 307-330. DOI: 10.1016/J.Cma.2019.05.039 |
0.431 |
|
2019 |
Xiao D, Heaney CE, Mottet L, Fang F, Lin W, Navon IM, Guo Y, Matar OK, Robins AG, Pain CC. A reduced order model for turbulent flows in the urban environment using machine learning Building and Environment. 148: 323-337. DOI: 10.1016/J.Buildenv.2018.10.035 |
0.395 |
|
2019 |
Xiao D, Fang F, Zheng J, Pain C, Navon I. Machine learning-based rapid response tools for regional air pollution modelling Atmospheric Environment. 199: 463-473. DOI: 10.1016/J.Atmosenv.2018.11.051 |
0.39 |
|
2019 |
Steppeler J, Li J, Navon IM, Fang F, Xiao Z. Medium range forecasts using cut-cells: a sensitivity study Meteorology and Atmospheric Physics. 132: 171-179. DOI: 10.1007/S00703-019-00681-W |
0.337 |
|
2018 |
Xiao D, Fang F, Pain CC, Navon IM, Salinas P, Wang Z. Non-intrusive model reduction for a 3D unstructured mesh control volume finite element reservoir model and its application to fluvial channels International Journal of Oil, Gas and Coal Technology. 19: 316. DOI: 10.1504/Ijogct.2018.095581 |
0.427 |
|
2018 |
Bistrian DA, Navon IM. Efficiency of randomised dynamic mode decomposition for reduced order modelling International Journal of Computational Fluid Dynamics. 32: 88-103. DOI: 10.1080/10618562.2018.1511049 |
0.396 |
|
2018 |
Sabeh Z, Shamsi M, Navon IM. An indirect shooting method based on the POD/DEIM technique for distributed optimal control of the wave equation International Journal For Numerical Methods in Fluids. 86: 433-453. DOI: 10.1002/Fld.4460 |
0.324 |
|
2017 |
Xiao D, Fang F, Pain C, Navon I. Towards non-intrusive reduced order 3D free surface flow modelling Ocean Engineering. 140: 155-168. DOI: 10.1016/J.Oceaneng.2017.05.020 |
0.426 |
|
2017 |
Xiao D, Yang P, Fang F, Xiang J, Pain C, Navon I, Chen M. A non-intrusive reduced-order model for compressible fluid and fractured solid coupling and its application to blasting Journal of Computational Physics. 330: 221-244. DOI: 10.1016/J.Jcp.2016.10.068 |
0.369 |
|
2017 |
Xiao D, Fang F, Pain C, Navon I. A parameterized non-intrusive reduced order model and error analysis for general time-dependent nonlinear partial differential equations and its applications Computer Methods in Applied Mechanics and Engineering. 317: 868-889. DOI: 10.1016/J.Cma.2016.12.033 |
0.428 |
|
2017 |
Dimitriu G, Ştefănescu R, Navon IM. Comparative numerical analysis using reduced-order modeling strategies for nonlinear large-scale systems Journal of Computational and Applied Mathematics. 310: 32-43. DOI: 10.1016/J.Cam.2016.07.002 |
0.455 |
|
2017 |
Bistrian DA, Navon IM. Randomized dynamic mode decomposition for nonintrusive reduced order modelling International Journal For Numerical Methods in Engineering. 112: 3-25. DOI: 10.1002/Nme.5499 |
0.305 |
|
2017 |
Fang F, Pain CC, Navon IM, Xiao D. An efficient goal based reduced order model approach for targeted adaptive observations International Journal For Numerical Methods in Fluids. 83: 263-275. DOI: 10.1002/Fld.4265 |
0.332 |
|
2017 |
Bistrian DA, Navon IM. The method of dynamic mode decomposition in shallow water and a swirling flow problem International Journal For Numerical Methods in Fluids. 83: 73-89. DOI: 10.1002/Fld.4257 |
0.305 |
|
2016 |
Xiao D, Yang P, Fang F, Xiang J, Pain CC, Navon IM. Non-intrusive reduced order modelling of fluid-structure interactions Computer Methods in Applied Mechanics and Engineering. 303: 35-54. DOI: 10.1016/J.Cma.2015.12.029 |
0.461 |
|
2016 |
Lin Z, Xiao D, Fang F, Pain CC, Navon IM. Non-intrusive reduced order modelling with least squares fitting on a sparse grid International Journal For Numerical Methods in Fluids. 83: 291-306. DOI: 10.1002/Fld.4268 |
0.384 |
|
2016 |
Xiao D, Lin Z, Fang F, Pain CC, Navon IM, Salinas P, Muggeridge A. Non-intrusive reduced-order modeling for multiphase porous media flows using Smolyak sparse grids International Journal For Numerical Methods in Fluids. 83: 205-219. DOI: 10.1002/Fld.4263 |
0.353 |
|
2016 |
Wang Y, Navon IM, Wang X, Cheng Y. 2D Burgers equation with large Reynolds number using POD/DEIM and calibration International Journal For Numerical Methods in Fluids. DOI: 10.1002/Fld.4249 |
0.466 |
|
2016 |
Du J, Zhu J, Fang F, Pain CC, Navon IM. Ensemble data assimilation applied to an adaptive mesh ocean model International Journal For Numerical Methods in Fluids. DOI: 10.1002/Fld.4247 |
0.426 |
|
2016 |
Alekseev AK, Bistrian DA, Bondarev AE, Navon IM. On linear and nonlinear aspects of dynamic mode decomposition International Journal For Numerical Methods in Fluids. DOI: 10.1002/Fld.4221 |
0.402 |
|
2015 |
Han G, Wu X, Zhang S, Liu Z, Navon IM, Li W. A Study of Coupling Parameter Estimation Implemented by 4D-Var and EnKF with a Simple Coupled System Advances in Meteorology. 2015. DOI: 10.1155/2015/530764 |
0.335 |
|
2015 |
Buchan AG, Calloo AA, Goffin MG, Dargaville S, Fang F, Pain CC, Navon IM. A POD reduced order model for resolving angular direction in neutron/photon transport problems Journal of Computational Physics. 296: 138-157. DOI: 10.1016/J.Jcp.2015.04.043 |
0.416 |
|
2015 |
Ştefănescu R, Sandu A, Navon IM. POD/DEIM reduced-order strategies for efficient four dimensional variational data assimilation Journal of Computational Physics. 295: 569-595. DOI: 10.1016/J.Jcp.2015.04.030 |
0.478 |
|
2015 |
Xiao D, Fang F, Buchan AG, Pain CC, Navon IM, Muggeridge A. Non-intrusive reduced order modelling of the Navier-Stokes equations Computer Methods in Applied Mechanics and Engineering. 293: 522-541. DOI: 10.1016/J.Cma.2015.05.015 |
0.483 |
|
2015 |
Bistrian DA, Navon IM. An improved algorithm for the shallow water equations model reduction: Dynamic Mode Decomposition vs POD International Journal For Numerical Methods in Fluids. 78: 552-580. DOI: 10.1002/Fld.4029 |
0.396 |
|
2014 |
Song X, Shi L, Ye M, Yang J, Navon IM. Numerical comparison of iterative ensemble Kalman filters for unsaturated flow inverse modeling Vadose Zone Journal. 13. DOI: 10.2136/vzj2013.05.0083 |
0.301 |
|
2014 |
Ardjmandpour N, Pain CC, Fang F, Buchan AG, Singer J, Player MA, Xu X, Navon IM, Carter J. Reduced order borehole induction modelling International Journal of Computational Fluid Dynamics. 28: 140-157. DOI: 10.1080/10618562.2014.923846 |
0.476 |
|
2014 |
Xiao D, Fang F, Buchan AG, Pain CC, Navon IM, Du J, Hu G. Non-linear model reduction for the Navier-Stokes equations using residual DEIM method Journal of Computational Physics. 263: 1-18. DOI: 10.1016/J.Jcp.2014.01.011 |
0.45 |
|
2014 |
Fang F, Zhang T, Pavlidis D, Pain CC, Buchan AG, Navon IM. Reduced order modelling of an unstructured mesh air pollution model and application in 2D/3D urban street canyons Atmospheric Environment. 96: 96-106. DOI: 10.1016/J.Atmosenv.2014.07.021 |
0.417 |
|
2014 |
Ştefănescu R, Sandu A, Navon IM. Comparison of POD reduced order strategies for the nonlinear 2D shallow water equations International Journal For Numerical Methods in Fluids. 76: 497-521. DOI: 10.1002/Fld.3946 |
0.447 |
|
2013 |
Luo Z, Li H, Sun P, An J, Navon IM. A reduced-order finite volume element formulation based on POD method and numerical simulation for two-dimensional solute transport problems Mathematics and Computers in Simulation. 89: 50-68. DOI: 10.1016/J.Matcom.2012.11.012 |
0.447 |
|
2013 |
Li X, Chen X, Hu BX, Navon IM. Model reduction of a coupled numerical model using proper orthogonal decomposition Journal of Hydrology. 507: 227-240. DOI: 10.1016/J.Jhydrol.2013.09.011 |
0.385 |
|
2013 |
Ştefânescu R, Navon IM. POD/DEIM nonlinear model order reduction of an ADI implicit shallow water equations model Journal of Computational Physics. 237: 95-114. DOI: 10.1016/J.Jcp.2012.11.035 |
0.481 |
|
2013 |
Fang F, Pain CC, Navon IM, Elsheikh AH, Du J, Xiao D. Non-linear petrov-galerkin methods for reduced order hyperbolic equations and discontinuous finite element methods Journal of Computational Physics. 234: 540-559. DOI: 10.1016/j.jcp.2012.10.011 |
0.393 |
|
2013 |
Fang F, Pain CC, Navon IM, Cacuci DG, Chen X. The independent set perturbation method for efficient computation of sensitivities with applications to data assimilation and a finite element shallow water model Computers and Fluids. 76: 33-49. DOI: 10.1016/J.Compfluid.2013.01.025 |
0.488 |
|
2013 |
Xiao D, Fang F, Du J, Pain CC, Navon IM, Buchan AG, ElSheikh AH, Hu G. Non-linear Petrov-Galerkin methods for reduced order modelling of the Navier-Stokes equations using a mixed finite element pair Computer Methods in Applied Mechanics and Engineering. 255: 147-157. DOI: 10.1016/J.Cma.2012.11.002 |
0.497 |
|
2013 |
Du J, Fang F, Pain CC, Navon IM, Zhu J, Ham DA. POD reduced-order unstructured mesh modeling applied to 2D and 3D fluid flow Computers and Mathematics With Applications. 65: 362-379. DOI: 10.1016/J.Camwa.2012.06.009 |
0.49 |
|
2013 |
Du J, Navon IM, Zhu J, Fang F, Alekseev AK. Reduced order modeling based on POD of a parabolized Navier-Stokes equations model II: Trust region POD 4D VAR data assimilation Computers and Mathematics With Applications. 65: 380-394. DOI: 10.1016/J.Camwa.2012.06.001 |
0.463 |
|
2013 |
ELSheikh AH, Pain CC, Fang F, Gomes JLMA, Navon IM. Parameter estimation of subsurface flow models using iterative regularized ensemble Kalman filter Stochastic Environmental Research and Risk Assessment. 27: 877-897. DOI: 10.1007/S00477-012-0613-X |
0.374 |
|
2013 |
Buchan AG, Pain CC, Fang F, Navon IM. A POD reduced-order model for eigenvalue problems with application to reactor physics International Journal For Numerical Methods in Engineering. 95: 1011-1032. DOI: 10.1002/Nme.4533 |
0.437 |
|
2013 |
Alekseev AK, Navon IM. Numerical control of two-dimensional shock waves in dual solution domain by instant temperature disturbances International Journal For Numerical Methods in Fluids. 71: 175-184. DOI: 10.1002/Fld.3652 |
0.371 |
|
2012 |
Steward JL, Navon IM, Zupanski M, Karmitsa N. Impact of non-smooth observation operators on variational and sequential data assimilation for a limited-area shallow-water equation model Quarterly Journal of the Royal Meteorological Society. 138: 323-339. DOI: 10.1002/Qj.935 |
0.442 |
|
2012 |
Hossen MJ, Navon IM, Fang F. A penalized four-dimensional variational data assimilation method for reducing forecast error related to adaptive observations International Journal For Numerical Methods in Fluids. 70: 1207-1220. DOI: 10.1002/Fld.2736 |
0.406 |
|
2012 |
Di Z, Luo Z, Xie Z, Wang A, Navon IM. An optimizing implicit difference scheme based on proper orthogonal decomposition for the two-dimensional unsaturated soil water flow equation International Journal For Numerical Methods in Fluids. 68: 1324-1340. DOI: 10.1002/Fld.2610 |
0.441 |
|
2012 |
Du J, Navon IM, Steward JL, Alekseev AK, Luo Z. Reduced-order modeling based on POD of a parabolized Navier-Stokes equation model I: Forward model International Journal For Numerical Methods in Fluids. 69: 710-730. DOI: 10.1002/Fld.2606 |
0.487 |
|
2012 |
Hossen MJ, Navon IM, Daescu DN. Effect of random perturbations on adaptive observation techniques International Journal For Numerical Methods in Fluids. 69: 110-123. DOI: 10.1002/Fld.2545 |
0.449 |
|
2012 |
Chen X, Akella S, Navon IM. A dual-weighted trust-region adaptive POD 4-D Var applied to a finite-volume shallow water equations model on the sphere International Journal For Numerical Methods in Fluids. 68: 377-402. DOI: 10.1002/Fld.2523 |
0.485 |
|
2011 |
Jardak M, Navon IM. Spectral stochastic two-scale convergence method for parabolic PDEs International Journal For Numerical Methods in Engineering. 85: 847-873. DOI: 10.1002/Nme.2997 |
0.327 |
|
2011 |
Alekseev AK, Navon IM, Zelentsov ME. The estimation of functional uncertainty using polynomial chaos and adjoint equations International Journal For Numerical Methods in Fluids. 67: 328-341. DOI: 10.1002/Fld.2355 |
0.399 |
|
2011 |
Fang F, Pain CC, Navon IM, Gorman GJ, Piggott MD, Allison PA. The independent set perturbation adjoint method: A new method of differentiating mesh-based fluids models International Journal For Numerical Methods in Fluids. 66: 976-999. DOI: 10.1002/Fld.2297 |
0.488 |
|
2011 |
Chen X, Navon IM, Fang F. A dual-weighted trust-region adaptive POD 4D-VAR applied to a finite-element shallow-water equations model International Journal For Numerical Methods in Fluids. 65: 520-541. DOI: 10.1002/Fld.2198 |
0.478 |
|
2011 |
Du J, Zhu J, Luo Z, Navon IM. An optimizing finite difference scheme based on proper orthogonal decomposition for CVD equations International Journal For Numerical Methods in Biomedical Engineering. 27: 78-94. DOI: 10.1002/Cnm.1295 |
0.435 |
|
2010 |
Fang F, Pain CC, Navon IM, Gorman GJ, Piggott MD, Allison PA, Goddard AJH. A POD goal-oriented error measure for mesh optimization International Journal For Numerical Methods in Fluids. 63: 185-206. DOI: 10.1002/Fld.2182 |
0.422 |
|
2010 |
Alekseev AK, Navon IM. An estimation of the sensitivity of numerical error norm using adjoint model International Journal For Numerical Methods in Fluids. 63: 1421-1434. DOI: 10.1002/Fld.2137 |
0.381 |
|
2010 |
Jardak M, Navon IM, Zupanski M. Comparison of sequential data assimilation methods for the Kuramoto-Sivashinsky equation International Journal For Numerical Methods in Fluids. 62: 374-402. DOI: 10.1002/Fld.2020 |
0.381 |
|
2009 |
Wang R, Zhu J, Luo Z, Navon IM. An equation-free, reduced-order modeling approach to tropical pacific simulation Advances in Geosciences: Volume 12: Ocean Science (Os). 1-16. DOI: 10.1142/9789812836168_0001 |
0.351 |
|
2009 |
Akella S, Navon IM. Different approaches to model error formulation in 4D-Var: A study with high-resolution advection schemes Tellus, Series a: Dynamic Meteorology and Oceanography. 61: 112-128. DOI: 10.1111/J.1600-0870.2008.00362.X |
0.424 |
|
2009 |
Alekseev AK, Navon IM, Steward JL. Comparison of advanced large-scale minimization algorithms for the solution of inverse ill-posed problems Optimization Methods and Software. 24: 63-87. DOI: 10.1080/10556780802370746 |
0.389 |
|
2009 |
Fang F, Pain CC, Navon IM, Gorman GJ, Piggott MD, Allison PA, Farrell PE, Goddard AJH. A POD reduced order unstructured mesh ocean modelling method for moderate Reynolds number flows Ocean Modelling. 28: 127-136. DOI: 10.1016/j.ocemod.2008.12.006 |
0.337 |
|
2009 |
Fang F, Pain CC, Navon IM, Piggott MD, Gorman GJ, Farrell PE, Allison PA, Goddard AJH. A POD reduced-order 4D-Var adaptive mesh ocean modelling approach International Journal For Numerical Methods in Fluids. 60: 709-732. DOI: 10.1002/fld.1911 |
0.368 |
|
2009 |
Luo Z, Chen J, Navon IM, Zhu J. An optimizing reduced PLSMFE formulation for non-stationary conduction-convection problems International Journal For Numerical Methods in Fluids. 60: 409-436. DOI: 10.1002/Fld.1900 |
0.404 |
|
2009 |
Fang F, Pain CC, Navon IM, Piggott MD, Gorman GJ, Allison PA, Goddard AJH. Reduced-order modelling of an adaptive mesh ocean model International Journal For Numerical Methods in Fluids. 59: 827-851. DOI: 10.1002/Fld.1841 |
0.361 |
|
2008 |
Daescu DN, Navon IM. A dual-weighted approach to order reduction in 4DVAR data assimilation Monthly Weather Review. 136: 1026-1041. DOI: 10.1175/2007Mwr2102.1 |
0.441 |
|
2008 |
Luo Z, Chen J, Navon IM, Yang X. Mixed finite element formulation and error estimates based on proper orthogonal decomposition for the nonstationary Navier-stokes equations Siam Journal On Numerical Analysis. 47: 1-19. DOI: 10.1137/070689498 |
0.465 |
|
2008 |
Alekseev AK, Navon IM. Estimation of goal functional error arising from iterative solution of Euler equations International Journal of Computational Fluid Dynamics. 22: 221-228. DOI: 10.1080/10618560701868453 |
0.404 |
|
2007 |
Luo Z, Zhu J, Wang R, Navon IM. Proper orthogonal decomposition approach and error estimation of mixed finite element methods for the tropical Pacific Ocean reduced gravity model Computer Methods in Applied Mechanics and Engineering. 196: 4184-4195. DOI: 10.1016/J.Cma.2007.04.003 |
0.46 |
|
2007 |
Uzunoglu B, Fletcher SJ, Zupanski M, Navon IM. Adaptive ensemble reduction and inflation Quarterly Journal of the Royal Meteorological Society. 133: 1281-1294. DOI: 10.1002/Qj.96 |
0.397 |
|
2007 |
Luo Z, Chen J, Zhu J, Wang R, Navon IM. An optimizing reduced order FDS for the tropical Pacific Ocean reduced gravity model International Journal For Numerical Methods in Fluids. 55: 143-161. DOI: 10.1002/Fld.1452 |
0.492 |
|
2007 |
Cao Y, Zhu J, Navon IM, Luo Z. A reduced-order approach to four-dimensional variational data assimilation using proper orthogonal decomposition International Journal For Numerical Methods in Fluids. 53: 1571-1583. DOI: 10.1002/Fld.1365 |
0.471 |
|
2007 |
Daescu DN, Navon IM. Efficiency of a POD-based reduced second-order adjoint model in 4D-Var data assimilation International Journal For Numerical Methods in Fluids. 53: 985-1004. DOI: 10.1002/Fld.1316 |
0.437 |
|
2006 |
Xiong X, Navon IM, Uzunoglu B. A note on the particle filter with posterior Gaussian resampling Tellus, Series a: Dynamic Meteorology and Oceanography. 58: 456-460. DOI: 10.3402/Tellusa.V58I4.14798 |
0.316 |
|
2006 |
Zupanski M, Fletcher SJ, Navon IM, Uzunoglu B, Heikes RP, Randall DA, Ringler TD, Daescu D. Initiation of ensemble data assimilation Tellus A. 58: 159-170. DOI: 10.3402/Tellusa.V58I2.14766 |
0.403 |
|
2006 |
Power PW, Piggott MD, Fang F, Gorman GJ, Pain CC, Marshall DP, Goddard AJH, Navon IM. Adjoint goal-based error norms for adaptive mesh ocean modelling Ocean Modelling. 15: 3-38. DOI: 10.1016/J.Ocemod.2006.05.001 |
0.416 |
|
2006 |
Cao Y, Zhu J, Luo Z, Navon IM. Reduced-Order Modeling of the Upper Tropical Pacific Ocean Model using Proper Orthogonal Decomposition Computers and Mathematics With Applications. 52: 1373-1386. DOI: 10.1016/J.Camwa.2006.11.012 |
0.431 |
|
2006 |
Gejadze IY, Copeland GJM, Navon IM. Open Boundary Control Problem for Navier-Stokes Equations Including a Free Surface: Data Assimilation Computers and Mathematics With Applications. 52: 1269-1288. DOI: 10.1016/J.Camwa.2006.11.005 |
0.419 |
|
2006 |
Power PW, Pain CC, Piggott MD, Fang F, Gorman GJ, Umpleby AP, Goddard AJH, Navon IM. Adjoint A Posteriori Error Measures for Anisotropic Mesh Optimisation Computers and Mathematics With Applications. 52: 1213-1242. DOI: 10.1016/J.Camwa.2006.11.003 |
0.394 |
|
2006 |
Alekseev AK, Navon IM. A posteriori error estimation by postprocessor independent of method of flowfield calculation Computers and Mathematics With Applications. 51: 397-404. DOI: 10.1016/J.Camwa.2005.10.003 |
0.403 |
|
2006 |
Akella S, Navon IM. A comparative study of the performance of high resolution advection schemes in the context of data assimilation International Journal For Numerical Methods in Fluids. 51: 719-748. DOI: 10.1002/Fld.1145 |
0.448 |
|
2005 |
Zhijin LI, Navon IM, Hussaini MY. Analysis of the singular vectors of the full-physics Florida State University Global Spectral Model Tellus, Series a: Dynamic Meteorology and Oceanography. 57: 560-574. DOI: 10.3402/Tellusa.V57I4.14703 |
0.316 |
|
2005 |
Alekseev AK, Navon IM. On a posteriori pointwise error estimation using adjoint temperature and Lagrange remainder Computer Methods in Applied Mechanics and Engineering. 194: 2211-2228. DOI: 10.1016/J.Cma.2004.07.014 |
0.306 |
|
2005 |
Alekseev AK, Navon IM. Adjoint correction and bounding of error using lagrange form of truncation term Computers and Mathematics With Applications. 50: 1311-1332. DOI: 10.1016/J.Camwa.2005.05.004 |
0.375 |
|
2005 |
Alekseev AK, Navon IM. A posteriori pointwise error estimation for compressible fluid flows using adjoint parameters and Lagrange remainder International Journal For Numerical Methods in Fluids. 47: 45-74. DOI: 10.1002/Fld.802 |
0.359 |
|
2004 |
Navon IM, Neta B, Hussaini MY. A perfectly matched layer approach to the linearized shallow water equations models Monthly Weather Review. 132: 1369-1378. DOI: 10.1175/1520-0493(2004)132<1369:Apmlat>2.0.Co;2 |
0.41 |
|
2004 |
Daescu DN, Navon IM. Adaptive observations in the context of 4D-Var data assimilation Meteorology and Atmospheric Physics. 85: 205-226. DOI: 10.1007/S00703-003-0011-5 |
0.454 |
|
2003 |
Das B, Meirovitch H, Navon IM. Performance of hybrid methods for large-scale unconstrained optimization as applied to models of proteins Journal of Computational Chemistry. 24: 1222-1231. PMID 12820130 DOI: 10.1002/Jcc.10275 |
0.361 |
|
2003 |
Daescu DN, Navon IM. An analysis of a hybrid optimization method for variational data assimilation International Journal of Computational Fluid Dynamics. 17: 299-306. DOI: 10.1080/1061856031000120510 |
0.441 |
|
2003 |
Alekseev AK, Navon IM. Calculation of uncertainty propagation using adjoint equations International Journal of Computational Fluid Dynamics. 17: 283-288. DOI: 10.1080/1061856031000113644 |
0.396 |
|
2003 |
Homescu C, Navon IM. Numerical and theoretical considerations for sensitivity calculation of discontinuous flow Systems and Control Letters. 48: 253-260. DOI: 10.1016/S0167-6911(02)00270-0 |
0.411 |
|
2003 |
Li Z, Navon IM, Hussaini MY, Le Dimet FX. Optimal control of cylinder wakes via suction and blowing Computers and Fluids. 32: 149-171. DOI: 10.1016/S0045-7930(02)00007-5 |
0.393 |
|
2003 |
Al-Haik MS, Garmestani H, Navon IM. Truncated-Newton training algorithm for neurocomputational viscoplastic model Computer Methods in Applied Mechanics and Engineering. 192: 2249-2267. DOI: 10.1016/S0045-7825(03)00261-5 |
0.34 |
|
2002 |
Le Dimet FX, Navon IM, Daescu DN. Second-order information in data assimilation Monthly Weather Review. 130: 629-648. DOI: 10.1175/1520-0493(2002)130<0629:Soiida>2.0.Co;2 |
0.395 |
|
2002 |
Homescu C, Navon IM, Li Z. Suppression of vortex shedding for flow around a circular cylinder using optimal control International Journal For Numerical Methods in Fluids. 38: 43-69. DOI: 10.1002/Fld.203 |
0.354 |
|
2001 |
Castaings W, Navon IM. Mesh refinement strategies for solving singularly perturbed reaction-diffusion problems Computers and Mathematics With Applications. 41: 157-176. DOI: 10.1016/S0898-1221(01)85014-8 |
0.354 |
|
2001 |
Zou X, Liu H, Derber J, Sela JG, Treadon R, Navon IM, Wang B. Four-dimensional variational data assimilation with a diabatic version of the NCEP global spectral model: System development and preliminary results Quarterly Journal of the Royal Meteorological Society. 127: 1095-1122. DOI: 10.1002/Qj.49712757321 |
0.325 |
|
2001 |
Li Z, Navon IM. Optimality of variational data assimilation and its relationship with the Kalman filter and smoother Quarterly Journal of the Royal Meteorological Society. 127: 661-683. DOI: 10.1002/Qj.49712757220 |
0.339 |
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2000 |
Zhang S, Zou X, Ahlquist J, Navon IM, Sela JG. Use of differentiable and nondifferentiable optimization algorithms for variational data assimilation with discontinuous cost functions Monthly Weather Review. 128: 4031-4044. DOI: 10.1175/1520-0493(2000)129<4031:Uodano>2.0.Co;2 |
0.342 |
|
2000 |
Li Z, Navon IM, Zhu Y. Performance of 4D-Var with different strategies for the use of adjoint physics with the FSU global spectral model Monthly Weather Review. 128: 668-688. DOI: 10.1175/1520-0493(2000)128<0668:Povwds>2.0.Co;2 |
0.382 |
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1999 |
Yang Y, Navon IM, Todling R, Yang W. Sensitivity to large-scale environmental fields of the relaxed Arakawa-Schubert parameterization in the NASA GEOS-1 GCM Monthly Weather Review. 127: 2359-2378. DOI: 10.1175/1520-0493(1999)127<2359:Stlsef>2.0.Co;2 |
0.317 |
|
1999 |
Zhu Y, Navon IM. Impact of parameter estimation on the performance of the FSU global spectral model using its full-physics adjoint Monthly Weather Review. 127: 1497-1517. DOI: 10.1175/1520-0493(1999)127<1497:Iopeot>2.0.Co;2 |
0.317 |
|
1999 |
Li Z, Barcilon A, Navon IM. Study of block onset using sensitivity perturbations in climatological flows Monthly Weather Review. 127: 879-900. DOI: 10.1175/1520-0493(1999)127<0879:Sobous>2.0.Co;2 |
0.32 |
|
1999 |
Li J, Navon IM. Global uniformly convergent finite element method for a quasi-linear singularly perturbed elliptic problem Computers and Mathematics With Applications. 38: 197-206. DOI: 10.1016/S0898-1221(99)00226-6 |
0.392 |
|
1999 |
Li J, Navon IM. Global uniformly convergent finite element methods for singularly perturbed elliptic boundary value problems: Higher-order elements Computer Methods in Applied Mechanics and Engineering. 171: 1-23. DOI: 10.1016/S0045-7825(98)00243-6 |
0.381 |
|
1998 |
Li Z, Navon IM. Adjoint sensitivity of the Earth's radiation budget in the NCEP medium-range forecasting model Journal of Geophysical Research Atmospheres. 103: 3801-3814. DOI: 10.1029/97Jd03631 |
0.318 |
|
1998 |
Li J, Navon IM. Uniformly convergent finite element methods for singularly perturbed elliptic boundary value problems I: Reaction-diffusion type Computers and Mathematics With Applications. 35: 57-70. DOI: 10.1016/S0898-1221(97)00279-4 |
0.357 |
|
1998 |
Navon IM. Practical and theoretical aspects of adjoint parameter estimation and identifiability in meteorology and oceanography Dynamics of Atmospheres and Oceans. 27: 55-79. DOI: 10.1016/S0377-0265(97)00032-8 |
0.337 |
|
1998 |
Li J, Navon IM. Uniformly convergent finite element methods for singularly perturbed elliptic boundary value problems: Convection-diffusion type Computer Methods in Applied Mechanics and Engineering. 162: 49-78. DOI: 10.1016/S0045-7825(97)00329-0 |
0.347 |
|
1998 |
Zhu Y, Navon IM. FSU-GSM forecast error sensitivity to initial conditions: Application to Indian summer monsoon Meteorology and Atmospheric Physics. 68: 35-41. DOI: 10.1007/Bf01025382 |
0.362 |
|
1997 |
Wang Z, Droegemeier KK, White L, Navon IM. Application of a New Adjoint Newton Algorithm to the 3D ARPS Storm-Scale Model Using Simulated Data Monthly Weather Review. 125: 2460-2478. DOI: 10.1175/1520-0493(1997)125<2460:Aoanan>2.0.Co;2 |
0.431 |
|
1997 |
Neta B, Giraldo FX, Navon IM. Analysis of the Turkel-Zwas scheme for the two-dimensional shallow water equations in spherical coordinates Journal of Computational Physics. 133: 102-112. DOI: 10.1006/Jcph.1997.5657 |
0.366 |
|
1996 |
Yang W, Navon IM, Courtier P. A new Hessian preconditioning method applied to variational data assimilation experiments using NASA general circulation models Monthly Weather Review. 124: 1000-1017. |
0.355 |
|
1995 |
Zou J, Hsieh WW, Navon IM. Sequential Open-Boundary Control by Data Assimilation in a Limited-Area Model Monthly Weather Review. 123: 2899-2909. DOI: 10.1175/1520-0493(1995)123<2899:Sobcbd>2.0.Co;2 |
0.348 |
|
1995 |
Wang Z, Navon IM, Zou X, Le Dimet FX. A truncated Newton optimization algorithm in meteorology applications with analytic Hessian/vector products Computational Optimization and Applications. 4: 241-262. DOI: 10.1007/Bf01300873 |
0.404 |
|
1995 |
Cai Y, Navon IM. Parallel Block Preconditioning Techniques for the Numerical Simulation of the Shallow Water Flow Using Finite Element Methods Journal of Computational Physics. 122: 39-50. DOI: 10.1006/Jcph.1995.1195 |
0.462 |
|
1994 |
Zhu K, Navon IM, Zou X. Variational Data Assimilation with a Variable Resolution Finite-Element shallow-water Equations Model Monthly Weather Review. 122: 946-965. DOI: 10.1175/1520-0493(1994)122<0946:Vdawav>2.0.Co;2 |
0.456 |
|
1994 |
Keyun Zhu, Navon IM, Xiaolei Zou. Variational data assimilation with a variable resolution finite- element shallow-water equations model Monthly Weather Review. 122: 946-965. |
0.362 |
|
1993 |
Zou X, Navon IM, Sela JG. Variational data assimilation with moist threshold processes using the NMC spectral model Tellus A. 45: 370-387. DOI: 10.3402/Tellusa.V45I5.14900 |
0.341 |
|
1993 |
Zou X, Barcilon A, Navon IM, Whitaker J, Cacuci DG. An adjoint sensitivity study of blocking in a two-layer isentropic model Monthly Weather Review. 121: 2833-2857. DOI: 10.1175/1520-0493(1993)121<2833:Aassob>2.0.Co;2 |
0.34 |
|
1993 |
Li Y, Navon IM, Courtier P, Gauthier P. Variational data assimilation with a semi-Lagrangian semi-implicit global shallow-water equation model and its adjoint Monthly Weather Review. 121: 1759-1769. DOI: 10.1175/1520-0493(1993)121<1759:Vdawas>2.0.Co;2 |
0.435 |
|
1993 |
Zou X, Navon IM, Sela J. Control Of Gravitational Oscillations in Variational Data Assimilation Monthly Weather Review. 121: 272-289. DOI: 10.1175/1520-0493(1993)121<0272:Cogoiv>2.0.Co;2 |
0.414 |
|
1993 |
Zou X, Navon IM, Berger M, Phua KH, Schlick T, Le Dimet FX. Numerical Experience with Limited-Memory Quasi-Newton and Truncated Newton Methods Siam Journal On Optimization. 3: 582-608. DOI: 10.1137/0803029 |
0.351 |
|
1993 |
Navon IM, Cai Y. Domain decomposition and parallel processing of a finite element model of the shallow water equations Computer Methods in Applied Mechanics and Engineering. 106: 179-212. DOI: 10.1016/0045-7825(93)90190-9 |
0.413 |
|
1992 |
Zou X, Navon IM, Dimet FXL. Incomplete observations and control of gravity waves in variational data assimilation Tellus A. 44: 273-296. DOI: 10.3402/Tellusa.V44I4.14961 |
0.427 |
|
1992 |
Ramamurthy MK, Navon IM. The conjugate-gradient variational analysis and initialization method: an application to MONEX SOP 2 data Monthly Weather Review. 120: 2360-2377. DOI: 10.1175/1520-0493(1992)120<2360:Tcgvaa>2.0.Co;2 |
0.388 |
|
1992 |
Navon IM, Zou X, Derber J, Sela J. Variational Data Assimilation with an Adiabatic Version of the NMC Spectral Model Monthly Weather Review. 120: 1433-1446. DOI: 10.1175/1520-0493(1992)120<1433:Vdawaa>2.0.Co;2 |
0.446 |
|
1992 |
Pfeffer RL, Navon IM, Zou X. A Comparison of the Impact of Two Time-differencing Schemes on the NASA-GLAS Climate Model Monthly Weather Review. 120: 1381-1393. DOI: 10.1175/1520-0493(1992)120<1381:Acotio>2.0.Co;2 |
0.345 |
|
1992 |
Wang Z, Navon IM, Le Dimet FX, Zou X. The second order adjoint analysis: Theory and applications Meteorology and Atmospheric Physics. 50: 3-20. DOI: 10.1007/Bf01025501 |
0.436 |
|
1992 |
Zou X, Navon IM, Ledimet FX. An Optimal Nudging Data Assimilation Scheme Using Parameter Estimation Quarterly Journal of the Royal Meteorological Society. 118: 1163-1186. DOI: 10.1002/Qj.49711850808 |
0.36 |
|
1992 |
Navon IM, Zou X, Derber J, Sela J. Variational data assimilation with an adiabatic version of the NMC spectral model Monthly Weather Review. 120: 1433-1446. |
0.343 |
|
1991 |
Legler DM, Navon IM. VARIATM-A FORTRAN program for objective analysis of pseudostress wind fields using large-scale conjugate-gradient minimization Computers and Geosciences. 17: 1-21. DOI: 10.1016/0098-3004(91)90077-Q |
0.32 |
|
1991 |
Navon IM, Yu J. Exshall: A Turkel-Zwas explicit large time-step FORTRAN program for solving the shallow-water equations in spherical coordinates Computers and Geosciences. 17: 1311-1343. DOI: 10.1016/0098-3004(91)90030-H |
0.375 |
|
1990 |
Navon IM, Brown FB, Robertson DH. A combined simulated annealing and quasi-Newton-like conjugate-gradient method for determining the structure of mixed argon-xenon clusters Computers and Chemistry. 14: 305-311. DOI: 10.1016/0097-8485(90)80037-3 |
0.327 |
|
1990 |
Steppeler J, Navon IM, Lu HI. Finite-element schemes for extended integrations of atmospheric models Journal of Computational Physics. 89: 95-124. DOI: 10.1016/0021-9991(90)90119-L |
0.412 |
|
1990 |
Navon IM, Phua PKH, Ramamurthy M. Vectorization of conjugate-gradient methods for large-scale minimization in meteorology Journal of Optimization Theory and Applications. 66: 71-93. DOI: 10.1007/Bf00940534 |
0.403 |
|
1989 |
Neta B, Navon IM. Analysis of the Turkel-Zwas scheme for the shallow-water equations Journal of Computational Physics. 81: 277-299. DOI: 10.1016/0021-9991(89)90209-X |
0.358 |
|
1987 |
Navon IM, Legler DM. Conjugate-Gradient Methods for Large-Scale Minimization in Meteorology Monthly Weather Review. 115: 1479-1502. DOI: 10.1175/1520-0493(1987)115<1479:Cgmfls>2.0.Co;2 |
0.393 |
|
1987 |
Navon IM, De Villiers R. The application of the Turkel-Zwas explicit large time- step scheme to a hemispheric barotropic model with constraint restoration Monthly Weather Review. 115: 1036-1051. DOI: 10.1175/1520-0493(1987)115<1036:Taotte>2.0.Co;2 |
0.382 |
|
1987 |
Navon IM. FEUDX: a two-stage, high-accuracy, finite-element FORTRAN program for solving shallow-water equations Computers and Geosciences. 13: 255-285. DOI: 10.1016/0098-3004(87)90045-8 |
0.446 |
|
1987 |
Navon IM. The Bayliss-Isaacson algorithm and the constraint restoration method are equivalent Meteorology and Atmospheric Physics. 37: 143-152. DOI: 10.1007/Bf01042436 |
0.409 |
|
1986 |
Semazzi FHM, Navon IM. A comparison of the bounded derivative and the normal-mode initialization methods using real data Monthly Weather Review. 114: 2106-2121. DOI: 10.1175/1520-0493(1986)114<2106:Acotbd>2.0.Co;2 |
0.373 |
|
1986 |
Navon IM, de Villiers R. Gustaf: A quasi-newton nonlinear ADI FORTRAN IV program for solving the shallow-water equations with augmented lagrangians Computers and Geosciences. 12: 151-173. DOI: 10.1016/0098-3004(86)90004-X |
0.435 |
|
1986 |
Navon IM, Riphagen HA. Shall4 - an implicit compact fourth-order FORTRAN program for solving the shallow-water equations in conservation-law form Computers and Geosciences. 12: 129-150. DOI: 10.1016/0098-3004(86)90003-8 |
0.439 |
|
1983 |
Navon IM, De Villiers R. Combined penalty multiplier optimization methods to enforce integral invariants conservation Monthly Weather Review. 111: 1228-1243. DOI: 10.1175/1520-0493(1983)111<1228:Cpmomt>2.0.Co;2 |
0.397 |
|
1983 |
Navon IM. A Numerov-Galerkin technique applied to a finite-element shallow-water equations model with enforced conservation of integral invariants and selective lumping Journal of Computational Physics. 52: 313-339. DOI: 10.1016/0021-9991(83)90033-5 |
0.457 |
|
1982 |
Navon IM. A Numerov-Galerkin technique applied to a finite element shallow-water equations model with exact conservation of integral constraints . |
0.315 |
|
1981 |
Navon IM. Implementation of APosterioriMethods for Enforcing Conservation of Potential Enstrophy and Mass in Discretized Shallow-Water Equations Models Monthly Weather Review. 109: 946-958. DOI: 10.1175/1520-0493(1981)109<0946:Ioamfe>2.0.Co;2 |
0.42 |
|
1980 |
Fairweather G, Navon I. A linear ADI method for the shallow-water equations Journal of Computational Physics. 37: 1-18. DOI: 10.1016/0021-9991(80)90001-7 |
0.447 |
|
1979 |
Navon IM, Riphagen HA. An implicit compact fourth-order algorithms for solving the shallow-water equations in conservation-law form Monthly Weather Review. 107: 1107-1127. DOI: 10.1175/1520-0493(1979)107<1107:Aicfoa>2.0.Co;2 |
0.42 |
|
1979 |
Navon IM. Finite-element simulation of the shallow-water equations model on a limited-area domain Applied Mathematical Modelling. 3: 337-348. DOI: 10.1016/S0307-904X(79)80040-2 |
0.453 |
|
1979 |
Navon IM, Muller U. FESW - a finite-element Fortran IV program for solving the shallow-water equations Advances in Engineering Software (1978). 1: 77-86. DOI: 10.1016/0141-1195(79)90005-6 |
0.421 |
|
1979 |
Navon IM. ADIF, a FORTRAN IV program for solving the shallow-water equations Computers and Geosciences. 5: 19-39. DOI: 10.1016/0098-3004(79)90016-5 |
0.407 |
|
1979 |
Navon IM. ADI solution of the inverse balance equation over a non-rectangular region Archiv FüR Meteorologie, Geophysik Und Bioklimatologie Serie A. 28: 39-52. DOI: 10.1007/BF02316316 |
0.322 |
|
1978 |
Navon IM, Alperson Z. Application of fourth-order finite differences to a baroclinic model of the atmosphere Archiv FüR Meteorologie, Geophysik Und Bioklimatologie Serie A. 27: 1-19. DOI: 10.1007/BF02246459 |
0.303 |
|
1966 |
Navon IM. A review of finite-element methods for solving the shallow-water equations . |
0.311 |
|
1966 |
Navon IM. A review of finite-element methods for solving the shallow-water equations . |
0.311 |
|
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