Nonlinear Processes in Geophysics

Papers
(The median citation count of Nonlinear Processes in Geophysics is 1. The table below lists those papers that are above that threshold based on CrossRef citation counts [max. 250 papers]. The publications cover those that have been published in the past four years, i.e., from 2020-03-01 to 2024-03-01.)
ArticleCitations
Data-driven predictions of a multiscale Lorenz 96 chaotic system using machine-learning methods: reservoir computing, artificial neural network, and long short-term memory network103
Baroclinic and barotropic instabilities in planetary atmospheres: energetics, equilibration and adjustment16
From research to applications – examples of operational ensemble post-processing in France using machine learning16
Recurrence analysis of extreme event-like data15
Statistical postprocessing of ensemble forecasts for severe weather at Deutscher Wetterdienst14
Training a convolutional neural network to conserve mass in data assimilation14
Data-driven versus self-similar parameterizations for stochastic advection by Lie transport and location uncertainty14
Simulation-based comparison of multivariate ensemble post-processing methods13
Integrated hydrodynamic and machine learning models for compound flooding prediction in a data-scarce estuarine delta9
Enhanced internal tidal mixing in the Philippine Sea mesoscale environment8
Review article: Hilbert problems for the climate sciences in the 21st century – 20 years later7
A methodology to obtain model-error covariances due to the discretization scheme from the parametric Kalman filter perspective7
Lévy noise versus Gaussian-noise-induced transitions in the Ghil–Sellers energy balance model7
Enhanced diapycnal mixing with polarity-reversing internal solitary waves revealed by seismic reflection data6
Producing realistic climate data with generative adversarial networks6
Detecting dynamical anomalies in time series from different palaeoclimate proxy archives using windowed recurrence network analysis6
Effects of upwelling duration and phytoplankton growth regime on dissolved-oxygen levels in an idealized Iberian Peninsula upwelling system6
Ordering of trajectories reveals hierarchical finite-time coherent sets in Lagrangian particle data: detecting Agulhas rings in the South Atlantic Ocean6
Magnetospheric chaos and dynamical complexity response during storm time disturbance5
Comparing estimation techniques for temporal scaling in palaeoclimate time series5
Detecting flow features in scarce trajectory data using networks derived from symbolic itineraries: an application to surface drifters in the North Atlantic5
Identification of linear response functions from arbitrary perturbation experiments in the presence of noise – Part 1: Method development and toy model demonstration5
Predicting sea surface temperatures with coupled reservoir computers5
How many modes are needed to predict climate bifurcations? Lessons from an experiment5
Size distribution law of earthquake-triggered landslides in different seismic intensity zones5
Study of the fractality in a magnetohydrodynamic shell model forced by solar wind fluctuations5
Calibrated ensemble forecasts of the height of new snow using quantile regression forests and ensemble model output statistics5
Fractional relaxation noises, motions and the fractional energy balance equation4
Vertical profiles of wind gust statistics from a regional reanalysis using multivariate extreme value theory4
The effect of strong shear on internal solitary-like waves4
Anthropocene climate bifurcation4
Correcting for model changes in statistical postprocessing – an approach based on response theory4
Non-linear hydrologic organization4
Reduced non-Gaussianity by 30 s rapid update in convective-scale numerical weather prediction4
Ensemble-based statistical interpolation with Gaussian anamorphosis for the spatial analysis of precipitation4
Ensemble Riemannian data assimilation over the Wasserstein space4
A range of outcomes: the combined effects of internal variability and anthropogenic forcing on regional climate trends over Europe4
Application of Lévy processes in modelling (geodetic) time series with mixed spectra4
Empirical adaptive wavelet decomposition (EAWD): an adaptive decomposition for the variability analysis of observation time series in atmospheric science3
Control simulation experiment with Lorenz's butterfly attractor3
Extracting statistically significant eddy signals from large Lagrangian datasets using wavelet ridge analysis, with application to the Gulf of Mexico3
Characteristics of intrinsic non-stationarity and its effect on eddy-covariance measurements of CO<sub>2</sub> fluxes2
On the interaction of stochastic forcing and regime dynamics2
Effects of rotation and topography on internal solitary waves governed by the rotating Gardner equation2
Nonlinear vortex solution for perturbations in the Earth's ionosphere2
Behavior of the iterative ensemble-based variational method in nonlinear problems2
On parameter bias in earthquake sequence models using data assimilation2
Multivariate localization functions for strongly coupled data assimilation in the bivariate Lorenz 96 system2
Enhancing geophysical flow machine learning performance via scale separation2
Applying dynamical systems techniques to real ocean drifters2
A study of capturing Atlantic meridional overturning circulation (AMOC) regime transition through observation-constrained model parameters2
Inferring the instability of a dynamical system from the skill of data assimilation exercises2
Beyond univariate calibration: verifying spatial structure in ensembles of forecast fields2
Approximate multifractal correlation and products of universal multifractal fields, with application to rainfall data2
Toward a multivariate formulation of the parametric Kalman filter assimilation: application to a simplified chemical transport model2
Identification of linear response functions from arbitrary perturbation experiments in the presence of noise – Part 2: Application to the land carbon cycle in the MPI Earth System Model2
A method for predicting the uncompleted climate transition process2
Observations of shoaling internal wave transformation over a gentle slope in the South China Sea1
Using a hybrid optimal interpolation–ensemble Kalman filter for the Canadian Precipitation Analysis1
Exploring meteorological droughts' spatial patterns across Europe through complex network theory1
A waveform skewness index for measuring time series nonlinearity and its applications to the ENSO–Indian monsoon relationship1
Brief communication: Residence time of energy in the atmosphere1
Improving the potential accuracy and usability of EURO-CORDEX estimates of future rainfall climate using frequentist model averaging1
Control simulation experiments of extreme events with the Lorenz-96 model1
Estimate of energy loss from internal solitary waves breaking on slopes1
The blessing of dimensionality for the analysis of climate data1
Physically constrained covariance inflation from location uncertainty1
Applying prior correlations for ensemble-based spatial localization1
Review article: Scaling, dynamical regimes, and stratification. How long does weather last? How big is a cloud?1
An approach for projecting the timing of abrupt winter Arctic sea ice loss1
An enhanced correlation identification algorithm and its application on spread spectrum induced polarization data1
Simulating model uncertainty of subgrid-scale processes by sampling model errors at convective scales1
Review article: Dynamical systems, algebraic topology and the climate sciences1
Fast hybrid tempered ensemble transform filter formulation for Bayesian elliptical problems via Sinkhorn approximation1
Improvements to the use of the Trajectory-Adaptive Multilevel Sampling algorithm for the study of rare events1
Seismic section image detail enhancement method based on bilateral texture filtering and adaptive enhancement of texture details1
Identification of droughts and heatwaves in Germany with regional climate networks1
Rain process models and convergence to point processes1
Ensemble Riemannian data assimilation: towards large-scale dynamical systems1
Data-driven methods to estimate the committor function in conceptual ocean models1
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