Applications in Climatology and Atmospheric Sciences.- Subsampling Methodology for the Analysis of Nonlinear Atmospheric Time Series.- Global Patterns of Nonlinearity in Real and GCM-Simulated Atmospheric Data.- Prediction of Extreme Events.- Analysis of Geophysical Time Series Using Discrete Wavelet Transforms: An Overview.- Automatic Parameter Estimation in a Mesoscale Model Without Ensembles.- Towards Robust Nonlinear Multivariate Analysis by Neural Network Methods.- Complexity of Spatio-Temporal Correlations in Japanese Air Temperature Records.- Applications in Oceanography and Seismology.- Time Series Analysis of Sea-Level Records: Characterising Long-Term Variability.- Empirical Global Ocean Tide and Mean Sea Level Modeling Using Satellite Altimetry Data Case Study: A New Empirical Global Ocean Tide and Mean Sea Level Model Based on Jason-1 Satellite Altimetry Observations.- Fourier, Scattering, and Wavelet Transforms: Applications to Internal Gravity Waves with Comparisons to Linear Tidal Data.- Crustal Deformation Models and Time-Frequency Analysis of GPS Data from Deception Island Volcano (South Shetland Islands, Antarctica).- Describing Seismic Pattern Dynamics by Means of Ising Cellular Automata.- Applications in Solar-Terrestrial Physics.- Template Analysis of the Hide, Skeldon, Acheson Dynamo.- Methods to Detect Solitons in Geophysical Signals: The Case of the Derivative Nonlinear Schrödinger Equation.- Detecting Oscillations Hidden in Noise: Common Cycles in Atmospheric, Geomagnetic and Solar Data.- Phase Coherence Analysis of Decadal-Scale Sunspot Activity on Both Solar Hemispheres.
Applications in Climatology and Atmospheric Sciences.- Subsampling Methodology for the Analysis of Nonlinear Atmospheric Time Series.- Global Patterns of Nonlinearity in Real and GCM-Simulated Atmospheric Data.- Prediction of Extreme Events.- Analysis of Geophysical Time Series Using Discrete Wavelet Transforms: An Overview.- Automatic Parameter Estimation in a Mesoscale Model Without Ensembles.- Towards Robust Nonlinear Multivariate Analysis by Neural Network Methods.- Complexity of Spatio-Temporal Correlations in Japanese Air Temperature Records.- Applications in Oceanography and Seismology.- Time Series Analysis of Sea-Level Records: Characterising Long-Term Variability.- Empirical Global Ocean Tide and Mean Sea Level Modeling Using Satellite Altimetry Data Case Study: A New Empirical Global Ocean Tide and Mean Sea Level Model Based on Jason-1 Satellite Altimetry Observations.- Fourier, Scattering, and Wavelet Transforms: Applications to Internal Gravity Waves with Comparisons to Linear Tidal Data.- Crustal Deformation Models and Time-Frequency Analysis of GPS Data from Deception Island Volcano (South Shetland Islands, Antarctica).- Describing Seismic Pattern Dynamics by Means of Ising Cellular Automata.- Applications in Solar-Terrestrial Physics.- Template Analysis of the Hide, Skeldon, Acheson Dynamo.- Methods to Detect Solitons in Geophysical Signals: The Case of the Derivative Nonlinear Schrödinger Equation.- Detecting Oscillations Hidden in Noise: Common Cycles in Atmospheric, Geomagnetic and Solar Data.- Phase Coherence Analysis of Decadal-Scale Sunspot Activity on Both Solar Hemispheres.
A comprehensive resource that draws a balance between theory and applications of nonlinear time series analysis Nonlinear Time Series Analysis offers an important guide to both parametric and...
This is a detailed introduction to the statistical analysis of geophysical time series, using numerous examples and exercises to build proficiency. The exercises lead the reader to explore the...
This book provides an overview of the current state-of-the-art of nonlinear time series analysis, richly illustrated with examples, pseudocode algorithms and real-world applications. Avoiding...
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