Reduced models of atmospheric low-frequency variability: Parameter estimation and comparative performance
暂无分享,去创建一个
Michael Ghil | Sergey Kravtsov | Dmitri Kondrashov | M. Ghil | D. Kondrashov | S. Kravtsov | K. Strounine | K. Strounine
[1] Michael Ghil,et al. Climate dynamics and fluid mechanics: Natural variability and related uncertainties , 2008, 1006.2864.
[2] S. Kravtsov. 2 Empirical model reduction and the modelling hierarchy in climate dynamics and the geosciences , 2009 .
[3] Frank Kwasniok,et al. Reduced Atmospheric Models Using Dynamically Motivated Basis Functions , 2007 .
[4] V. Araújo. Random Dynamical Systems , 2006, math/0608162.
[5] Michael Ghil,et al. Empirical mode reduction in a model of extratropical low-frequency variability , 2006 .
[6] Michael Ghil,et al. Multiple Regimes and Low-Frequency Oscillations in the Northern Hemisphere’s Zonal-Mean Flow , 2006 .
[7] Andrew J. Majda,et al. Low-Order Stochastic Mode Reduction for a Prototype Atmospheric GCM , 2006 .
[8] Michael Ghil,et al. Multilevel Regression Modeling of Nonlinear Processes: Derivation and Applications to Climatic Variability , 2005 .
[9] Michael Ghil,et al. A Hierarchy of Data-Based ENSO Models , 2005 .
[10] Andrew J. Majda,et al. Low-Order Stochastic Mode Reduction for a Realistic Barotropic Model Climate , 2005 .
[11] Andrew J. Majda,et al. Low-dimensional chaotic dynamics versus intrinsic stochastic noise: a paradigm model , 2004 .
[12] Andrew J. Majda,et al. Strategies for Model Reduction: Comparing Different Optimal Bases , 2004 .
[13] Frank Kwasniok,et al. Empirical Low-Order Models of Barotropic Flow , 2004 .
[14] Andrew J. Majda,et al. Systematic Strategies for Stochastic Mode Reduction in Climate , 2003 .
[15] D. Hartmann,et al. Eddy–Zonal Flow Feedback in the Northern Hemisphere Winter , 2003 .
[16] Michael Ghil,et al. Weather Regimes and Preferred Transition Paths in a Three-Level Quasigeostrophic Model. , 2003 .
[17] Michael Ghil,et al. Data Assimilation for a Coupled Ocean–Atmosphere Model. Part II: Parameter Estimation , 2008 .
[18] M. Ghil,et al. Multiple regimes and low‐frequency oscillations in the Southern Hemisphere's zonal‐mean flow , 2002 .
[19] Andrew J. Majda,et al. A priori tests of a stochastic mode reduction strategy , 2002 .
[20] Michael Ghil,et al. Data Assimilation for a Coupled Ocean–Atmosphere Model. Part I: Sequential State Estimation , 2002 .
[21] Extratropical low‐frequency variability as a low‐dimensional problem. II: Stationarity and stability of large‐scale equilibria , 2002 .
[22] Michael Ghil,et al. “Waves” vs. “particles” in the atmosphere's phase space: A pathway to long-range forecasting? , 2002, Proceedings of the National Academy of Sciences of the United States of America.
[23] Michael Ghil,et al. ADVANCED SPECTRAL METHODS FOR CLIMATIC TIME SERIES , 2002 .
[24] A. Majdaa,et al. A priori tests of a stochastic mode reduction strategy , 2002 .
[25] A. Robertson. Influence of Ocean–Atmosphere Interaction on the Arctic Oscillation in Two General Circulation Models , 2001 .
[26] Andrew J. Majda,et al. A mathematical framework for stochastic climate models , 2001 .
[27] T. DelSole. Optimally Persistent Patterns in Time-Varying Fields , 2001 .
[28] A. O'Neill,et al. Atmospheric multiple equilibria and non‐Gaussian behaviour in model simulations , 2001 .
[29] Fabio D'Andrea,et al. Extratropical low-frequency variability as a low-dimensional problem , 2001 .
[30] Christopher R. Winkler,et al. A Linear Model of Wintertime Low-Frequency Variability. Part I: Formulation and Forecast Skill , 2001 .
[31] T. Başar,et al. A New Approach to Linear Filtering and Prediction Problems , 2001 .
[32] J. Wallace. The climatological mean stationary waves: observational evidence , 2001 .
[33] Michael Ghil,et al. Solving problems with GCMs: General circulation models and their role in the climate modeling hierarchy , 2000 .
[34] M. Ehrendorfer. The Total Energy Norm in a Quasigeostrophic Model , 2000 .
[35] M. Latif,et al. Second Revision , 1999 .
[36] John M. Wallace,et al. North atlantic oscillatiodannular mode: Two paradigms—one phenomenon , 2000 .
[37] C. Deser. On the teleconnectivity of the “Arctic Oscillation” , 2000 .
[38] W. Robinson. A Baroclinic Mechanism for the Eddy Feedback on the Zonal Index , 2000 .
[39] E. Sarachik,et al. Empirically Derived Markov Models and Prediction of Tropical Pacific Sea Surface Temperature Anomalies , 2000 .
[40] Vanden Eijnden E,et al. Models for stochastic climate prediction. , 1999, Proceedings of the National Academy of Sciences of the United States of America.
[41] Padhraic Smyth,et al. Multiple Regimes in Northern Hemisphere Height Fields via MixtureModel Clustering* , 1999, Journal of the Atmospheric Sciences.
[42] Ulrich Achatz,et al. A Two-Layer Model with Empirical Linear Corrections and Reduced Order for Studies of Internal Climate Variability , 1999 .
[43] Masahide Kimoto,et al. Weather Regimes, Low-Frequency Oscillations, and Principal Patterns of Variability: A Perspective of Extratropical Low-Frequency Variability , 1999 .
[44] Cécile Penland,et al. Prediction of Tropical Atlantic Sea Surface Temperatures Using Linear Inverse Modeling , 1998 .
[45] Michael Ghil,et al. Extended Kalman filtering for vortex systems. Part II: Rankine vortices and observing-system design , 1998 .
[46] Michael Ghil,et al. Extended Kalman filtering for vortex systems. Part 1: Methodology and point vortices , 1998 .
[47] Frank M. Selten,et al. Baroclinic empirical orthogonal functions as basis functions in an atmospheric model , 1997 .
[48] Eduardo Damasio Da Costa,et al. A Qualitatively Realistic Low-Order Model of the Extratropical Low-Frequency Variability Built from Long Records of Potential Vorticity. , 1997 .
[49] Michael Ghil,et al. Advances in Sequential Estimation for Atmospheric and Oceanic Flows , 1997 .
[50] Cécile Penland,et al. A stochastic model of IndoPacific sea surface temperature anomalies , 1996 .
[51] Frank Kwasniok,et al. The reduction of complex dynamical systems using principal interaction patterns , 1996 .
[52] Jonathan M. Lees,et al. Robust estimation of background noise and signal detection in climatic time series , 1996 .
[53] P. Malanotte‐Rizzoli. Modern approaches to data assimilation in ocean modeling , 1996 .
[54] W. Thacker,et al. Combining data and a global primitive equation ocean general circulation model using the adjoint method , 1996 .
[55] J. Hurrell. Decadal Trends in the North Atlantic Oscillation: Regional Temperatures and Precipitation , 1995, Science.
[56] Prashant D. Sardeshmukh,et al. The Optimal Growth of Tropical Sea Surface Temperature Anomalies , 1995 .
[57] Brian F. Farrell,et al. Stochastic dynamics of the midlatitude atmospheric jet , 1995 .
[58] M. Cai,et al. Interaction between the low‐ and high‐frequency transients in the Southern Hemisphere winter circulation , 1995 .
[59] Frank M. Selten,et al. An Efficient Description of the Dynamics of Barotropic Flow , 1995 .
[60] G. Branstator. Organization of Storm Track Anomalies by Recurring Low-Frequency Circulation Anomalies , 1995 .
[61] Michael Ghil,et al. Software expedites singular‐spectrum analysis of noisy time series , 1995, Eos, Transactions American Geophysical Union.
[62] M. Mundt,et al. Secondary instability, EOF reduction, and the transition to baroclinic chaos , 1994 .
[63] W. Metz. Singular Modes and Low-Frequency Atmospheric Variability , 1994 .
[64] Michael Ghil,et al. Advanced data assimilation in strongly nonlinear dynamical systems , 1994 .
[65] G. Plaut,et al. Spells of Low-Frequency Oscillations and Weather Regimes in the Northern Hemisphere. , 1994 .
[66] Michael Ghil,et al. Extended Kalman Filtering for Vortex Systems: An Example of Observing-System Design , 1994 .
[67] P. Ioannou,et al. Stochastic forcing of the linearized Navier–Stokes equations , 1993 .
[68] D. Hartmann,et al. Zonal Flow Vacillation and Eddy Forcing in a Simple GCM of the Atmosphere. , 1993 .
[69] Michael Ghil,et al. Multiple flow regimes in the Northern Hemisphere winter. I - Methodology and hemispheric regimes. II - Sectorial regimes and preferred transitions , 1993 .
[70] X. Cheng,et al. Cluster Analysis of the Northern Hemisphere Wintertime 500-hPa Height Field: Spatial Patterns , 1993 .
[71] Michael Ghil,et al. Forecasting Northern Hemisphere 700-mb Geopotential Height Anomalies Using Empirical Normal Modes , 1993 .
[72] Franco Molteni,et al. Toward a dynamical understanding of planetary-scale flow regimes. , 1993 .
[73] Michael Ghil,et al. ADAPTIVE FILTERING AND PREDICTION OF NOISY MULTIVARIATE SIGNALS: AN APPLICATION TO SUBANNUAL VARIABILITY IN ATMOSPHERIC ANGULAR MOMENTUM , 1993 .
[74] Grant Branstator,et al. The Maintenance of Low-Frequency Atmospheric Anomalies , 1992 .
[75] R. Vautard,et al. Singular-spectrum analysis: a toolkit for short, noisy chaotic signals , 1992 .
[76] Michael Ghil,et al. Intraseasonal oscillations in the global atmosphere. I - Northern Hemisphere and tropics , 1991 .
[77] Michael Ghil,et al. Intraseasonal Oscillations in the Global Atmosphere. Part II: Southern Hemisphere. , 1991 .
[78] M. Ghil,et al. Data assimilation in meteorology and oceanography , 1991 .
[79] A. Robertson,et al. Transient-Eddy Feedbacks Derived from Linear Theory and Observations , 1990 .
[80] P. Courtier,et al. Variational assimilation of meteorological observations with the direct and adjoint shallow-water equations , 1990 .
[81] D. Thomson. Quadratic-inverse spectrum estimates: applications to palaeoclimatology , 1990, Philosophical Transactions of the Royal Society of London. Series A: Physical and Engineering Sciences.
[82] Michael Ghil,et al. Multiple Flow Regimes in the Northern Hemisphere Winter. Part II: Sectorial Regimes and Preferred Transitions , 1993 .
[83] M. Ghil,et al. Multiple Flow Regimes in the Northern Hemisphere Winter. Part I: Methodology and Hemispheric Regimes , 1993 .
[84] Cécile Penland,et al. Random Forcing and Forecasting Using Principal Oscillation Pattern Analysis , 1989 .
[85] A. Robertson,et al. Three-Dimensional Linear Instability of Persistent Anomalous Large-Scale Flows. , 1989 .
[86] Robert N. Miller,et al. A Kalman Filter Analysis of Sea Level Height in the Tropical Pacific , 1989 .
[87] R. Vautard,et al. Singular spectrum analysis in nonlinear dynamics, with applications to paleoclimatic time series , 1989 .
[88] R. Preisendorfer,et al. Principal Component Analysis in Meteorology and Oceanography , 1988 .
[89] K. Hasselmann. PIPs and POPs: The reduction of complex dynamical systems using principal interaction and oscillation patterns , 1988 .
[90] Y. Kushnir,et al. Retrograding Wintertime Low-Frequency Disturbances over the North Pacific Ocean , 1987 .
[91] Grant Branstator,et al. A Striking Example of the Atmosphere's Leading Traveling Pattern , 1987 .
[92] Michael Ghil,et al. Statistics and Dynamics of Persistent Anomalies , 1987 .
[93] L. Sirovich,et al. Coherent structures and chaos: A model problem , 1987 .
[94] M. Ghil. Dynamics, Statistics and Predictability of Planetary Flow Regimes , 1987 .
[95] S. Childress,et al. Topics in geophysical fluid dynamics. Atmospheric dynamics, dynamo theory, and climate dynamics. , 1987 .
[96] P. J. Green,et al. Density Estimation for Statistics and Data Analysis , 1987 .
[97] A. F. Smith,et al. Statistical analysis of finite mixture distributions , 1986 .
[98] G. P. King,et al. Extracting qualitative dynamics from experimental data , 1986 .
[99] Klaus Fraedrich,et al. Estimating the Dimensions of Weather and Climate Attractors , 1986 .
[100] Michael Ghil,et al. An efficient algorithm for estimating noise covariances in distributed systems , 1985 .
[101] Michael Ghil,et al. Persistent Anomalies, Blocking and Variations in Atmospheric Predictability , 1985 .
[102] Siegfried D. Schubert,et al. A Statistical-Dynamical Study of Empirically Determined Modes of Atmospheric Variability , 1985 .
[103] L. Illari. A Diagnostic Study of the Potential Vorticity in a Warm Blocking Anticyclone , 1984 .
[104] G. Shutts. The propagation of eddies in diffluent jetstreams: Eddy vorticity forcing of ‘blocking’ flow fields , 1983 .
[105] Randall M. Dole,et al. Persistent Anomalies of the Extratropical Northern Hemisphere Wintertime Circulation: Geographical Distribution and Regional Persistence Characteristics , 1983 .
[106] R. P. Pearce,et al. Large-Scale Dynamical Processes in the Atmosphere , 1983 .
[107] C. Gardiner. Handbook of Stochastic Methods , 1983 .
[108] D. Thomson,et al. Spectrum estimation and harmonic analysis , 1982, Proceedings of the IEEE.
[109] R. Pierrehumbert,et al. Dynamics of Weather Regimes: Quasi-Stationary Waves and Blocking. , 1982 .
[110] D. Rand. Dynamical Systems and Turbulence , 1982 .
[111] S. Cohn,et al. Applications of Estimation Theory to Numerical Weather Prediction , 1981 .
[112] Michael Ghil,et al. Dynamic Meteorology: Data Assimilation Methods , 1981 .
[113] J. Wallace,et al. Teleconnections in the Geopotential Height Field during the Northern Hemisphere Winter , 1981 .
[114] R. Mañé,et al. On the dimension of the compact invariant sets of certain non-linear maps , 1981 .
[115] F. Takens. Detecting strange attractors in turbulence , 1981 .
[116] J. Rinne,et al. A spectral barotropic model in horizontal empirical orthogonal functions , 1975 .
[117] P. Bélanger. Estimation of noise covariance matrices for a linear time-varying stochastic process , 1972, Autom..
[118] Thomas G. Kurtz,et al. A limit theorem for perturbed operator semigroups with applications to random evolutions , 1973 .
[119] J. Lumley,et al. A First Course in Turbulence , 1972 .
[120] Y. Sasaki. SOME BASIC FORMALISMS IN NUMERICAL VARIATIONAL ANALYSIS , 1970 .
[121] Harald Bergstriim. Mathematical Theory of Probability and Statistics , 1966 .
[122] J. B. McLeod,et al. Applications of Functional Analysis in Mathematical Physics , 1964, The Mathematical Gazette.
[123] R. Khas'minskii,et al. Principle of Averaging for Parabolic and Elliptic Differential Equations and for Markov Processes with Small Diffusion , 1963 .
[124] Hurd C. Willett,et al. Thirty-day forecasting : a review of a ten-year experiment , 1953 .