Data Assimilation

Lagrangian Data Assimilation

• Santitissadeekorn, N., E.T. Spiller, C.K.R.T. Jones, R. Rutarindwa, L.Liu, and K. Ide, 2014: Observing System Simulation Experiments of cross-layer Lagrangian data assimilation. Dyn. Atmos. Oceans, 66, 77-93 [pdf]
• Vernieres, G., C.K.R.T. Jones, K. Ide 2011: Capturing eddy shedding in the Gulf of Mexico from Lagrangian observations. Phys. D, 240(2), 166-179 [pdf]
• Krener, A. J. and K. Ide, 2009: Measures of unobservability, Proc. IEEE Conf. Decision and Control, 6401-6406 [pdf]
• Salman, H., L. Kuznetsov, C.K.R.T. Jones, and K. Ide 2006: A method for assimilating Lagrangian data into a Shallow-water equation ocean model. Mon. Wea. Rev., 134(4), 1081-1101 [pdf]
• Kuznetsov, L., K. Ide and C.K.R.T. Jones, 2003: A method for assimilation of Lagrangian data. Mon. Wea. Rev., 131(10), 2247-2260. [pdf]
• Ide, K., L. Kuznetsov and C.K.R.T. Jones, 2002: Lagrangian data assimilation for point-vortex system. J. Turbulence, 3, 053. [pdf]

Hybrid Data Assimilation

• Kleist, D.T. and K. Ide. An OSSE-Based Evaluation of Hybrid Variational–Ensemble Data Assimilation for the NCEP GFS. Part I: System Description and 3D-Hybrid Results. Monthly Weather Review, 143, 433–451 [pdf]
• Kleist, D.T. and K. Ide. An OSSE-Based Evaluation of Hybrid Variational–Ensemble Data Assimilation for the NCEP GFS. Part II: 4DEnVar and Hybrid Variants. Monthly Weather Review, 143, 452–470 [pdf]

Community Global Observing System Simulation Experiments Package

• Boukabara, S., I. Moradi, R. Atlas, S.P.F. Casey, L. Cucurull, R.N. Hoffman, K. Ide, V. Krishna Kumar, R. Li, Z. Li, M. Masutani, N. Shahroudi, J. Woollen, and Y. Zhou, 2016: Community Global Observing System Simulation Experiment (OSSE) Package (CGOP): Description and Usage. J. Atmos. Oceanic Technol, 33, 1759-1777, DOI: 10.1175/JTECH-D-17-0077 [pdf]
• Boukabara, S., K. Ide, N. Shahroudi, Y.Zhou, T. Zhu, R. Li, L. Cucurull, Ro. Atlas, S.P.F. Casey, and R.N. Hoffman, 2017: Community Global Observing System Simulation Experiment (OSSE) Package :: CGOP. Part II: Perfect Observations Simulation Validation. J. Atmos. Oceanic Technol, 33, 1759-1777, DOI: 10.1175/JTECH-D-16-0012.1 [pdf]

Ensemble Kalman Filters

• Amezcua, J., K. Ide, C. S. Reich, and E. Kalnay, 2013: Ensemble transform Kalman-Bucy filters, Q. J. Roy. Meteoro. Soc., doi: 10.1002/qj.2186. [pdf]
• Amezcua, J., K. Ide, C. Bishop, and E. Kalnay, 2012: Ensemble clustering in deterministic ensemble Kalman filters. Tellus A, 64. doi:10.3402/tellusa.v64i0.18039 [pdf]
• Greybush, S. J., E. Kalnay, T. Miyoshi, K. Ide, and B. R. Hunt, 2011: Balance and Ensemble Kalman Filter Localization Techniques, Mon, Wea. Rev., 139, 511–522. doi:10.1175/2010MWR3328.1 [pdf]

Non-Gaussian Filters

• Werner, M. J., K. Ide, and D. Sornette, 2011: Earthquake forecasting based on data assimilation: sequential Monte Carlo methods for renewal point processes. Nonlin. Processes Geophys., 18, 49-70. doi:10.5194/npg-18-49-2011. [pdf]
• Spiller, E. T., A. Budhiraja, K. Ide, and C.K.R.T. Jones, 2008: Modified particle filter methods for assimilating Lagrangian data into a point-vortex model, Physica D, 237, 1498-1506. [pdf]
• Sornette, D. and K. Ide, 2001: The Kalman-Levy filter, Physica D, 151, 142-174. [pdf]

Ocean Data assimiltaion

• Penny, S. G., E. Kalnay, J. A. Carton, B. R. Hunt, K. Ide, T. Miyoshi, and G. Chepurin, 2013: The running-in-place algorithm applied to a global ocean general circulation model. Nonlinear Processes Geophys.,20, 1031–1046 [pdf]
• Hoffman, M. J., T. Miyoshi, T. W. N. Haine, K. Ide, C. W. Brown, and R. Murtugudde, 2012: An Advanced Data Assimilation System for the Chesapeake Bay: Performance Evaluation, J. Atmos. Ocean. Tech., 29, 1542-1557, doi:10.1175/JTECH-D-11-00126.1. [pdf]
• Li, Z.J., Y. Chao, J.C. McWillams, and K. Ide, 2008: A three-dimensional variational data assimilation scheme for the Regional Ocean Modeling System: Formulation and basic experiments, J. Geophys. Res. Ocean, 113, C05002, doi:10.1029/2006JC004042. [pdf]
• Li, Z.J., Y. Chao, J.C. McWillams, and K. Ide, 2008: A three-dimensional variational data assimilation scheme for the Regional Ocean Modeling System. J. Atmos. Ocean. Tech., 25, 2074-2090. [pdf]

Mars Data Assimilation

• Greybush, Steven J., R. J. Wilson, R. N. Hoffman, M. J. Hoffman, T. Miyoshi, K. Ide, T. McConnochie, and E. Kalnay, 2012: Ensemble Kalman Filter Data Assimilation of Thermal Emission Spectrometer Temperature Retrievals into a Mars GCM. J. Geophys. Res., 117, E11008, doi: 10.1029/2012JE004097. [pdf]
• Hoffman, M. J., S .J. Greybush, R. J. Wilson, G. Gyarmati, R. N. Hoffman, E. Kalnay, K. Ide, E. Kostelich, T. Miyoshi, and I. Szunyogh., 2010: An ensemble Kalman filter data assimilation system for the Martian atmosphere: Implementation and simulation experiments. Icarus, 209, 470-481. doi:10.1016/j.icarus.2010.03.034 [pdf]

Observing System Design

• Salman, H., C.K.R.T. Jones, and K. Ide 2008: Using flow geometry for drifter deployment in Lagrangian data assimilation. Tellus, 60A, 321-335. [pdf]
• Ide, K. and M. Ghil, 1998: The extended Kalman filtering for vortex Systems, Part II. Rankine vortex and observing-system design. Dyn. Atmos. Oceans, 27(1-4), 333-350. [pdf]

Shock-Wave Assimiltaion

• Kao, J., D. Flicke, K. Ide, M. Ghil, 2006: Estimating model parameters fr an impact-produced shock-wave simulation: Optimal use of partical data with the extended Kalman filter. J. Comp. Phys., 214 (2): 725-737. [pdf]
• Kao, J., D. Flicker, R. Henninger, S. Frey, M. Ghil, and K. Ide, 2004: Data assimilation with an extended Kalman filter for impact-produced shock-wave dynamics. J. Comp. Phys., 196 (2): 705-723. [pdf]

Coherent Structures

• Ide, K. and M. Ghil, 1998: The extended Kalman filtering for vortex Systems, Part I. Methodology and point vortices. Dyn. Atmos. Oceans, 27 (1-4), 301- 332. [pdf]

Notation

• Ide, K., P. Courtier, M. Ghil, and A. Lorenc, 1997: Unified notation for data assimilation: Operational, sequential and variational. J. Meteor. Soc. Japan, 75, 181-189. [pdf]

Dynamical Systems

Singular Dynamics

• Sornette, D. and K. Ide, 2004: Theory of self-similar oscillatory finite-time singularity, Int'l J. Modern Phys., C14(3), 267-275. [pdf]
• Ide, K. and D. Sornette, 2002: Oscillatory finite-time singularities in finance, population and rupture. Phys. A., 307(1-2), 63-106. [pdf]

Transport

• Ide, K. and S. Wiggins, 2015: Transport Induced by Mean-Eddy Interaction: I. Theory, and Relation to Lagrangian Lobe Dynamics. Comm. Nonlinear Science and Numerical Simulation, 20, 516–535. DOI 10.1016/j.cnsns.2014.06.007. [pdf]
• Ide, K. and S. Wiggins, 2015: Transport Induced by Mean-Eddy Interaction: II. Analysis of Transport Processes. Comm. Nonlinear Science and Numerical Simulation, 20, 794–806. DOI 10.1016/j.cnsns.2014.06.019. [pdf]
• Lipphardt, B.L., D. Small, A.D. Kirwwan, S. Wiggins, K. Ide, C.E. Grosch and J.D. Paduan, 2006: Synoptic Lagranian maps: Application to surface transport in Monterey Bay. J. Mar. Res., 64(2), 221-247. [pdf]
• Mancho, A.M., D. Small, S. Wiggins and K. Ide, 2004: Computation of stable and unstable manifolds of hyperbolic trajectories in two-dimensional, aperiodically time-dependent vector fields. Physica D, 182 (3-4), 188-222 [pdf]
• Ide, K., D. Small and S. Wiggins, 2002: Distinguished hyperbolic trajectories in time dependent fluid flows: Analytical and computational approach for velocity fields defined as data sets. Nonl. Proc. Geophys., 9, 237-263. [pdf]

Vortex Dynamics

• Ide, K. and S. Wiggins, 1995: The Dynamics of elliptically shaped regions of uniform vorticity in time-periodic, linear external velocity-field. Fluid Dyn. Res. 15 (4), 205-235. [pdf]

Chaos, Bifurcation, and Instability

• Norwood, A., E. Kalnay, K. Ide, S.-C. Yang, and C. Wolfe, 2013: Lyapunov, singular and bred vectors in a multi-scale system: an empirical exploration of vectors related to instabilities, J Phys. A: Math. Theor., 46, 254021 [pdf]
• Ide, K., 2008: Chaos Theory, The Encyclopedia of Global Warming and Climate Change, G. Philander (ed), Golson Books, Ltd [pdf]
• Ide, K. and S. Wiggins, 1989: The bifurcation of homoclinic tori in the quasi-periodically forced Duffing oscillator. Phys. D, 34 (1-2), 169-182. [pdf]

Atmosphere

Stratospheric Vortices

• Rabier, F. and co-authors, 2013: The Concordiasi Field Experiment over Antarctica: First Results from Innovative Atmospheric Measurements, Bull. Amer. Meteor. Soc., 94, ES17–ES20. [pdf]
• de la Cámara, C.R. Mechoso, A.M. Mancho, E. Serrano, K. Ide, 2013: Isentropic transport within the Antarctic polar night vortex: Rossby wave breaking evidence and Lagrangian structures, J. Atmos. Sci., 70, 2982-3001 [pdf]
• de la Cámara, A.M. Mancho, K. Ide, E. Serrano, C.R. Mechoso, 2012: Routes of transport across the Antarctic polar vortex in the southern spring, J. Atmos. Sci., 69, 741-752. [pdf]
• de la Cámara, A. C. R. Mechoso, K. Ide, R. Walterscheid and G. Schubert, 2010: Polar night vortex breakdown and large-scale stirring in the southern stratosphere, Climate Dynamics, 35, 965-975, DOI: 10.1007/s00382-009-0632-6 [pdf]

Weather Regime

• Kondrashov, D., K. Ide, and M. Ghil, 2004: Weather regimes and preferred transition paths in a three-level quasigeostrophic model. J. Atmos. Sci., 61(5)), 568-587. [pdf]
• Smyth, P., K. Ide, and M. Ghil, 1999: Multiple regimes in northern hemisphere height fields via mixture model clustering. J. Atmos. Sci., 56(21), 3704-3723. [pdf]

Topography Effects

• Tian, Y., E.R. Weeks, K. Ide, J.S. Urbach, C. Baroud, M. Ghil and H.L. Swinney, 2001: Experimental and numerical studies of an eastward jet over topography. J. Fluid Mech., 38, 129-157 [pdf]
• Weeks, E.R., Y. Tian, J.S. Urbach, K. Ide, H.L. Swinney, and M. Ghil, 1997: Transitions between blocked and zonal flows in a rotating annulus with topography. Science, 278, 1598-1601 [pdf]

Radiatoion

• Ide, K., H. Le Treut, Z.X. Li, and M. Ghil, 2001: Atmospheric radiative equilibria. Part II. Bimodal solutions for atmospheric optical properties. Clim. Dyn., 18(2-3), 29-49. [pdf]
• Li, Z.X., K. Ide, Le Treut, and M. Ghil, 1997: Atmospheric radiative equilibria in a simple column model. Climate Dyn., 13(6), 429-440. [pdf]

Solar Variabilty

• Marcus, S.L., M. Ghil, and K. Ide, 1999: Models of solar irradiance variability and the instrumental temperature record. Geophy. Rev. Lett., 26(10), 1449-1452. [pdf]

Oceans

Wind-Driven Circulation

• Simonnet, E. M. Ghil, K. Ide, R. Teman, S.H. Wang, 2003: Low-frequency variability in shallow-water models of the wind-driven ocean circulation. Part II: Steady-state solution. J. Phys. Oceanogr. 33(4), 721-728. [pdf]
• Simonnet, E. M. Ghil, K. Ide, R. Teman, S.H. Wang, 2003: Low-frequency variability in shallow-water models of the wind-driven ocean circulation. Part II: Time-dependent solutions. J. Phys. Oceanogr. 33(4), 729-752. [pdf]
• Chang, K.I., M. Ghil, K. Ide and C.C.A. Lai, 2001: Transition to aperiodic variability in a wind-driven double-gyre circulation model. J. Phys. Oceanogr., 31(5), 1260-1286. [pdf]

Others

Model Validation

• Sornette, D., A.B. Davis, J.R. Kamm, J. and K. Ide, 2008: A general strategies for physics-based model validation illustrated with earthquake phenomenology, atmospheric radiation transfer, and computational fluid dynamics, Computational Methods in Transport, Granlibakken 2006 (Lecture Notes in Computational Science and Engineering), F. Graviani (ed), Springer-Verlag, New York. [pdf]

Time-Series Analysis

• Ghil, M., M.R. Allan, M.D. Dettinger, K. Ide, D. Kondrashov, M.E. Mann, A.W. Robertson, A. Saunders, Y. Tian, F. Varadi, P. Yiou, 2002: Advanced spectral methods for climatic time series. Rev. Geophys., 40(1). [pdf]

Acknowledgement For The Support That Have Been Making My Research Poissible: