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 2020-11-01 to 2024-11-01.)
ArticleCitations
Training a convolutional neural network to conserve mass in data assimilation20
Recurrence analysis of extreme event-like data15
Integrated hydrodynamic and machine learning models for compound flooding prediction in a data-scarce estuarine delta14
Producing realistic climate data with generative adversarial networks10
Enhanced diapycnal mixing with polarity-reversing internal solitary waves revealed by seismic reflection data9
Lévy noise versus Gaussian-noise-induced transitions in the Ghil–Sellers energy balance model9
Comparing estimation techniques for temporal scaling in palaeoclimate time series8
Identification of linear response functions from arbitrary perturbation experiments in the presence of noise – Part 1: Method development and toy model demonstration8
Enhanced internal tidal mixing in the Philippine Sea mesoscale environment8
Size distribution law of earthquake-triggered landslides in different seismic intensity zones8
A range of outcomes: the combined effects of internal variability and anthropogenic forcing on regional climate trends over Europe8
A methodology to obtain model-error covariances due to the discretization scheme from the parametric Kalman filter perspective7
Fractional relaxation noises, motions and the fractional energy balance equation7
How many modes are needed to predict climate bifurcations? Lessons from an experiment7
Magnetospheric chaos and dynamical complexity response during storm time disturbance6
Review article: Scaling, dynamical regimes, and stratification. How long does weather last? How big is a cloud?6
Ordering of trajectories reveals hierarchical finite-time coherent sets in Lagrangian particle data: detecting Agulhas rings in the South Atlantic Ocean6
Calibrated ensemble forecasts of the height of new snow using quantile regression forests and ensemble model output statistics5
Detecting flow features in scarce trajectory data using networks derived from symbolic itineraries: an application to surface drifters in the North Atlantic5
Predicting sea surface temperatures with coupled reservoir computers5
Extracting statistically significant eddy signals from large Lagrangian datasets using wavelet ridge analysis, with application to the Gulf of Mexico5
Ensemble Riemannian data assimilation over the Wasserstein space5
Non-linear hydrologic organization5
Rate-induced tipping in ecosystems and climate: the role of unstable states, basin boundaries and transient dynamics5
Extraction of periodic signals in Global Navigation Satellite System (GNSS) vertical coordinate time series using the adaptive ensemble empirical modal decomposition method4
Reduced non-Gaussianity by 30 s rapid update in convective-scale numerical weather prediction4
A comparison of two causal methods in the context of climate analyses4
Data-driven methods to estimate the committor function in conceptual ocean models4
Review article: Dynamical systems, algebraic topology and the climate sciences4
Control simulation experiment with Lorenz's butterfly attractor4
The effect of strong shear on internal solitary-like waves4
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 Model4
Empirical adaptive wavelet decomposition (EAWD): an adaptive decomposition for the variability analysis of observation time series in atmospheric science4
On the interaction of stochastic forcing and regime dynamics4
Application of Lévy processes in modelling (geodetic) time series with mixed spectra4
Ensemble-based statistical interpolation with Gaussian anamorphosis for the spatial analysis of precipitation4
Multivariate localization functions for strongly coupled data assimilation in the bivariate Lorenz 96 system3
Estimate of energy loss from internal solitary waves breaking on slopes3
Exploring meteorological droughts' spatial patterns across Europe through complex network theory3
Effects of rotation and topography on internal solitary waves governed by the rotating Gardner equation3
On parameter bias in earthquake sequence models using data assimilation3
Phytoplankton retention mechanisms in estuaries: a case study of the Elbe estuary3
Observations of shoaling internal wave transformation over a gentle slope in the South China Sea2
Characteristics of intrinsic non-stationarity and its effect on eddy-covariance measurements of CO<sub>2</sub> fluxes2
Inferring the instability of a dynamical system from the skill of data assimilation exercises2
Toward a multivariate formulation of the parametric Kalman filter assimilation: application to a simplified chemical transport model2
Control simulation experiments of extreme events with the Lorenz-96 model2
A study of capturing Atlantic meridional overturning circulation (AMOC) regime transition through observation-constrained model parameters2
Review article: Towards strongly coupled ensemble data assimilation with additional improvements from machine learning2
Data-driven reconstruction of partially observed dynamical systems2
Ensemble Riemannian data assimilation: towards large-scale dynamical systems2
The blessing of dimensionality for the analysis of climate data2
Review article: Large fluctuations in non-equilibrium physics2
Behavior of the iterative ensemble-based variational method in nonlinear problems2
Enhancing geophysical flow machine learning performance via scale separation2
Applying dynamical systems techniques to real ocean drifters2
Downscaling of surface wind forecasts using convolutional neural networks1
Stieltjes functions and spectral analysis in the physics of sea ice1
Physically constrained covariance inflation from location uncertainty1
Applying prior correlations for ensemble-based spatial localization1
Identification of droughts and heatwaves in Germany with regional climate networks1
Brief communication: Climate science as a social process – history, climatic determinism, Mertonian norms and post-normality1
Rain process models and convergence to point processes1
Superstatistical analysis of sea surface currents in the Gulf of Trieste, measured by high-frequency radar, and its relation to wind regimes using the maximum-entropy principle1
A stochastic covariance shrinkage approach to particle rejuvenation in the ensemble transform particle filter1
Fast hybrid tempered ensemble transform filter formulation for Bayesian elliptical problems via Sinkhorn approximation1
A two-fold deep-learning strategy to correct and downscale winds over mountains1
Weather pattern dynamics over western Europe under climate change: predictability, information entropy and production1
A waveform skewness index for measuring time series nonlinearity and its applications to the ENSO–Indian monsoon relationship1
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
Regional study of mode-2 internal solitary waves at the Pacific coast of Central America using marine seismic survey data1
An adjoint-free algorithm for conditional nonlinear optimal perturbations (CNOPs) via sampling1
Using a hybrid optimal interpolation–ensemble Kalman filter for the Canadian Precipitation Analysis1
Improvements to the use of the Trajectory-Adaptive Multilevel Sampling algorithm for the study of rare events1
An early warning sign of critical transition in the Antarctic ice sheet – a data-driven tool for a spatiotemporal tipping point1
Reducing manipulations in a control simulation experiment based on instability vectors with the Lorenz-63 model1
Using neural networks to improve simulations in the gray zone1
Improving the potential accuracy and usability of EURO-CORDEX estimates of future rainfall climate using frequentist model averaging1
An approach for constraining mantle viscosities through assimilation of palaeo sea level data into a glacial isostatic adjustment model1
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