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John Harlim, Ph.D. - Publications

Affiliations: 
2006 University of Maryland, College Park, College Park, MD 
Area:
Mathematics, Atmospheric Science Physics
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47 high-probability publications. We are testing a new system for linking publications to authors. You can help! If you notice any inaccuracies, please sign in and mark papers as correct or incorrect matches. If you identify any major omissions or other inaccuracies in the publication list, please let us know.

Year Citation  Score
2020 Jiang SW, Harlim J. Modeling of missing dynamical systems: deriving parametric models using a nonparametric framework Research in the Mathematical Sciences. 7: 16. DOI: 10.1007/S40687-020-00217-4  0.425
2019 Zhang H, Li X, Harlim J. A parameter estimation method using linear response statistics: Numerical scheme. Chaos (Woodbury, N.Y.). 29: 033101. PMID 30927857 DOI: 10.1063/1.5081744  0.391
2019 Jiang SW, Harlim J. Parameter Estimation with Data-Driven Nonparametric Likelihood Functions Entropy. 21: 559. DOI: 10.3390/E21060559  0.367
2019 Gilani F, Harlim J. Approximating solutions of linear elliptic PDE's on a smooth manifold using local kernel Journal of Computational Physics. 395: 563-582. DOI: 10.1016/J.Jcp.2019.06.034  0.347
2018 Hao W, Harlim J. An equation-by-equation method for solving the multidimensional moment constrained maximum entropy problem Arxiv: Numerical Analysis. 13: 189-214. DOI: 10.2140/Camcos.2018.13.189  0.321
2018 De La Chevrotière M, Harlim J. Data-Driven Localization Mappings in Filtering the Monsoon–Hadley Multicloud Convective Flows Monthly Weather Review. 146: 1197-1218. DOI: 10.1175/Mwr-D-17-0381.1  0.458
2018 Berry T, Harlim J. Iterated diffusion maps for feature identification Applied and Computational Harmonic Analysis. 45: 84-119. DOI: 10.1016/J.Acha.2016.08.005  0.322
2017 Berry T, Harlim J. Correcting Biased Observation Model Error in Data Assimilation Monthly Weather Review. 145: 2833-2853. DOI: 10.1175/Mwr-D-16-0428.1  0.401
2017 De La Chevrotière M, Harlim J. A Data-Driven Method for Improving the Correlation Estimation in Serial Ensemble Kalman Filters Monthly Weather Review. 145: 985-1001. DOI: 10.1175/Mwr-D-16-0109.1  0.471
2017 Harlim J, Li X, Zhang H. A Parameter Estimation Method Using Linear Response Statistics Journal of Statistical Physics. 168: 146-170. DOI: 10.1007/S10955-017-1788-9  0.392
2017 Harlim J, Yang H. Diffusion Forecasting Model with Basis Functions from QR-Decomposition Journal of Nonlinear Science. 28: 847-872. DOI: 10.1007/S00332-017-9430-1  0.372
2016 Berry T, Giannakis D, Harlim J. Reply to "Comment on 'Nonparametric forecasting of low-dimensional dynamical systems' ". Physical Review. E. 93: 036202. PMID 27078491 DOI: 10.1103/Physreve.93.036202  0.323
2016 Berry T, Harlim J. Forecasting turbulent modes with nonparametric diffusion models: Learning from noisy data Physica D: Nonlinear Phenomena. 320: 57-76. DOI: 10.1016/J.Physd.2016.01.012  0.439
2016 Berry T, Harlim J. Semiparametric modeling: Correcting low-dimensional model error in parametric models Journal of Computational Physics. 308: 305-321. DOI: 10.1016/J.Jcp.2015.12.043  0.506
2016 Berry T, Harlim J. Variable bandwidth diffusion kernels Applied and Computational Harmonic Analysis. 40: 68-96. DOI: 10.1016/J.Acha.2015.01.001  0.343
2015 Harlim J, Li X. Parametric reduced models for the nonlinear Schrödinger equation. Physical Review. E, Statistical, Nonlinear, and Soft Matter Physics. 91: 053306. PMID 26066278 DOI: 10.1103/Physreve.91.053306  0.437
2015 Berry T, Giannakis D, Harlim J. Nonparametric forecasting of low-dimensional dynamical systems. Physical Review. E, Statistical, Nonlinear, and Soft Matter Physics. 91: 032915. PMID 25871180 DOI: 10.1103/Physreve.91.032915  0.411
2015 Berry T, Harlim J. Nonparametric Uncertainty Quantification for Stochastic Gradient Flows Siam/Asa Journal On Uncertainty Quantification. 3: 484-508. DOI: 10.1137/14097940X  0.453
2015 Zhen Y, Harlim J. Adaptive error covariances estimation methods for ensemble Kalman filters Journal of Computational Physics. 294: 619-638. DOI: 10.1016/J.Jcp.2015.03.061  0.442
2015 Harlim J, Hong H, Robbins JL. An algebraic method for constructing stable and consistent autoregressive filters Journal of Computational Physics. 283: 241-257. DOI: 10.1016/J.Jcp.2014.12.004  0.493
2014 Berry T, Harlim J. Linear theory for filtering nonlinear multiscale systems with model error. Proceedings. Mathematical, Physical, and Engineering Sciences / the Royal Society. 470: 20140168. PMID 25002829 DOI: 10.1098/Rspa.2014.0168  0.535
2014 Harlim J, Mahdi A, Majda AJ. An ensemble Kalman filter for statistical estimation of physics constrained nonlinear regression models Journal of Computational Physics. 257: 782-812. DOI: 10.1016/J.Jcp.2013.10.025  0.483
2013 Kang EL, Harlim J, Majda AJ. Regression models with memory for the linear response of turbulent dynamical systems Communications in Mathematical Sciences. 11: 481-498. DOI: 10.4310/Cms.2013.V11.N2.A8  0.375
2013 Harlim J, Majda AJ. Test models for filtering with superparameterization Multiscale Modeling and Simulation. 11: 282-308. DOI: 10.1137/120890594  0.448
2013 Gottwald GA, Harlim J. The role of additive and multiplicative noise in filtering complex dynamical systems Proceedings of the Royal Society a: Mathematical, Physical and Engineering Sciences. 469. DOI: 10.1098/Rspa.2013.0096  0.515
2013 Majda AJ, Harlim J. Physics constrained nonlinear regression models for time series Nonlinearity. 26: 201-217. DOI: 10.1088/0951-7715/26/1/201  0.413
2013 Bakunova ES, Harlim J. Optimal filtering of complex turbulent systems with memory depth through consistency constraints Journal of Computational Physics. 237: 320-343. DOI: 10.1016/J.Jcp.2012.11.028  0.539
2013 Brown KA, Harlim J. Assimilating irregularly spaced sparsely observed turbulent signals with hierarchical Bayesian reduced stochastic filters Journal of Computational Physics. 235: 143-160. DOI: 10.1016/J.Jcp.2012.11.006  0.522
2013 Harlim J, Majda AJ. Test models for filtering and prediction of moisture-coupled tropical waves Quarterly Journal of the Royal Meteorological Society. 139: 119-136. DOI: 10.1002/Qj.1956  0.422
2012 Kang EL, Harlim J. Filtering partially observed multiscale systems with heterogeneous multiscale methods-based reduced climate models Monthly Weather Review. 140: 860-873. DOI: 10.1175/Mwr-D-10-05067.1  0.539
2012 Majda AJ, Harlim J. Filtering complex turbulent systems Filtering Complex Turbulent Systems. 1-357. DOI: 10.1017/CBO9781139061308  0.303
2012 Kang EL, Harlim J. Filtering nonlinear spatio-temporal chaos with autoregressive linear stochastic models Physica D: Nonlinear Phenomena. 241: 1099-1113. DOI: 10.1016/J.Physd.2012.03.003  0.565
2011 Harlim J. Interpolating irregularly spaced observations for filtering turbulent complex systems Siam Journal On Scientific Computing. 33: 2620-2640. DOI: 10.1137/100800427  0.491
2011 Harlim J. Numerical strategies for filtering partially observed stiff stochastic differential equations Journal of Computational Physics. 230: 744-762. DOI: 10.1016/J.Jcp.2010.10.016  0.497
2010 Harlim J, Majda AJ. Catastrophic filter divergence in filtering nonlinear dissipative systems Communications in Mathematical Sciences. 8: 27-43. DOI: 10.4310/Cms.2010.V8.N1.A3  0.537
2010 Majda AJ, Harlim J, Gershgorin B. Mathematical strategies for filtering turbulent dynamical systems Discrete and Continuous Dynamical Systems. 27: 441-486. DOI: 10.3934/Dcds.2010.27.441  0.516
2010 Harlim J, Majda AJ. Filtering turbulent sparsely observed geophysical flows Monthly Weather Review. 138: 1050-1083. DOI: 10.1175/2009Mwr3113.1  0.481
2010 Gershgorin B, Harlim J, Majda AJ. Improving filtering and prediction of spatially extended turbulent systems with model errors through stochastic parameter estimation Journal of Computational Physics. 229: 32-57. DOI: 10.1016/J.Jcp.2009.09.022  0.501
2010 Gershgorin B, Harlim J, Majda AJ. Test models for improving filtering with model errors through stochastic parameter estimation Journal of Computational Physics. 229: 1-31. DOI: 10.1016/J.Jcp.2009.08.019  0.524
2008 Harlim J, Majda AJ. Filtering nonlinear dynamical systems with linear stochastic models Nonlinearity. 21: 1281-1306. DOI: 10.1088/0951-7715/21/6/008  0.546
2008 Harlim J, Majda AJ. Mathematical strategies for filtering complex systems: Regularly spaced sparse observations Journal of Computational Physics. 227: 5304-5341. DOI: 10.1016/J.Jcp.2008.01.049  0.484
2008 Castronovo E, Harlim J, Majda AJ. Mathematical test criteria for filtering complex systems: Plentiful observations Journal of Computational Physics. 227: 3678-3714. DOI: 10.1016/J.Jcp.2007.12.016  0.499
2007 Harlim J, Hunt BR. Four-dimensional local ensemble transform Kalman filter: Numerical experiments with a global circulation model Tellus, Series a: Dynamic Meteorology and Oceanography. 59: 731-748. DOI: 10.3402/Tellusa.V59I5.15154  0.635
2007 Harlim J, Hunt BR. A non-Gaussian ensemble filter for assimilating infrequent noisy observations Tellus, Series a: Dynamic Meteorology and Oceanography. 59: 225-237. DOI: 10.3402/Tellusa.V59I2.14935  0.645
2007 Fertig EJ, Harlim J, Hunt BR. A comparative study of 4D-VAR and a 4D Ensemble Kalman Filter: Perfect model simulations with Lorenz-96 Tellus, Series a: Dynamic Meteorology and Oceanography. 59: 96-100. DOI: 10.1111/J.1600-0870.2006.00205.X  0.628
2007 Majda AJ, Harlim J. Information flow between subspaces of complex dynamical systems Proceedings of the National Academy of Sciences of the United States of America. 104: 9558-9563. DOI: 10.1073/Pnas.0703499104  0.316
2005 Harlim J, Oczkowski M, Yorke JA, Kalnay E, Hunt BR. Convex error growth patterns in a global weather model. Physical Review Letters. 94: 228501. PMID 16090440 DOI: 10.1103/Physrevlett.94.228501  0.488
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