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 2021-04-01 to 2025-04-01.)
ArticleCitations
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 principle17
Multifractal analysis of wind turbine power and rainfall from an operational wind farm – Part 2: Joint analysis of available wind power and rain intensity15
Identification of linear response functions from arbitrary perturbation experiments in the presence of noise – Part 1: Method development and toy model demonstration15
Estimate of energy loss from internal solitary waves breaking on slopes12
Assessing Lagrangian coherence in atmospheric blocking12
Size distribution law of earthquake-triggered landslides in different seismic intensity zones11
Recurrence analysis of extreme event-like data9
Multifractal structure and Gutenberg–Richter parameter associated with volcanic emissions of high energy in Colima, Mexico (years 2013–2015)9
Phytoplankton retention mechanisms in estuaries: a case study of the Elbe estuary9
Data-driven methods to estimate the committor function in conceptual ocean models9
The impact of entrained air on ocean waves9
Review article: Interdisciplinary perspectives on climate sciences – highlighting past and current scientific achievements8
Scaling and intermittent properties of oceanic and atmospheric pCO2 time series and their difference in a turbulence framework8
How far can the statistical error estimation problem be closed by collocated data?8
The joint application of a metaheuristic algorithm and a Bayesian statistics approach for uncertainty and stability assessment of nonlinear magnetotelluric data8
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 Model7
Solving a North-type energy balance model using boundary integral methods7
The effect of strong shear on internal solitary-like waves7
A comparison of two causal methods in the context of climate analyses7
Improving the potential accuracy and usability of EURO-CORDEX estimates of future rainfall climate using frequentist model averaging7
Producing realistic climate data with generative adversarial networks7
An enhanced correlation identification algorithm and its application on spread spectrum induced polarization data6
Ensemble Riemannian data assimilation: towards large-scale dynamical systems6
An approach for constraining mantle viscosities through assimilation of palaeo sea level data into a glacial isostatic adjustment model6
Reduced non-Gaussianity by 30 s rapid update in convective-scale numerical weather prediction6
A quest for precipitation attractors in weather radar archives5
Toward a multivariate formulation of the parametric Kalman filter assimilation: application to a simplified chemical transport model5
Representation learning with unconditional denoising diffusion models for dynamical systems5
Rain process models and convergence to point processes4
Clustering of settling microswimmers in turbulence4
Inferring flow energy, space scales, and timescales: freely drifting vs. fixed-point observations4
Comparative study of strongly and weakly coupled data assimilation with a global land–atmosphere coupled model4
Effects of rotation and topography on internal solitary waves governed by the rotating Gardner equation4
Regional study of mode-2 internal solitary waves at the Pacific coast of Central America using marine seismic survey data4
On dissipation timescales of the basic second-order moments: the effect on the energy and flux budget (EFB) turbulence closure for stably stratified turbulence4
Control simulation experiments of extreme events with the Lorenz-96 model4
A comparison of two nonlinear data assimilation methods4
Rate-induced tipping in ecosystems and climate: the role of unstable states, basin boundaries and transient dynamics3
Energy transfer from internal solitary waves to turbulence via high-frequency internal waves: seismic observations in the northern South China Sea3
Enhancing geophysical flow machine learning performance via scale separation3
Sensitivity of the polar boundary layer to transient phenomena3
How many modes are needed to predict climate bifurcations? Lessons from an experiment3
Applying dynamical systems techniques to real ocean drifters3
Characterisation of Dansgaard–Oeschger events in palaeoclimate time series using the matrix profile method2
Reducing manipulations in a control simulation experiment based on instability vectors with the Lorenz-63 model2
A range of outcomes: the combined effects of internal variability and anthropogenic forcing on regional climate trends over Europe2
Improving ensemble data assimilation through Probit-space Ensemble Size Expansion for Gaussian Copulas (PESE-GC)2
Review article: Scaling, dynamical regimes, and stratification. How long does weather last? How big is a cloud?2
A waveform skewness index for measuring time series nonlinearity and its applications to the ENSO–Indian monsoon relationship2
Identification of droughts and heatwaves in Germany with regional climate networks2
An approach for projecting the timing of abrupt winter Arctic sea ice loss2
Extracting statistically significant eddy signals from large Lagrangian datasets using wavelet ridge analysis, with application to the Gulf of Mexico2
Variational techniques for a one-dimensional energy balance model2
NORAD tracking of the 2022 February Starlink satellites and the immediate loss of 32 satellites1
Using neural networks to improve simulations in the gray zone1
Brief communication: Climate science as a social process – history, climatic determinism, Mertonian norms and post-normality1
Existence and influence of mixed states in a model of vegetation patterns1
Weather pattern dynamics over western Europe under climate change: predictability, information entropy and production1
Guidance on how to improve vertical covariance localization based on a 1000-member ensemble1
Predicting sea surface temperatures with coupled reservoir computers1
Direct Bayesian model reduction of smaller scale convective activity conditioned on large-scale dynamics1
Data-driven reconstruction of partially observed dynamical systems1
Bridging classical data assimilation and optimal transport: the 3D-Var case1
Magnetospheric chaos and dynamical complexity response during storm time disturbance1
On the interaction of stochastic forcing and regime dynamics1
Calibrated ensemble forecasts of the height of new snow using quantile regression forests and ensemble model output statistics1
Fractal analysis of geomagnetic data to decipher pre-earthquake processes in the Andaman–Nicobar region, India1
Stability and uncertainty assessment of geoelectrical resistivity model parameters: a new hybrid metaheuristic algorithm and posterior probability density function approach1
A new approach to understanding fluid mixing in process-study models of stratified fluids1
Aggregation of slightly buoyant microplastics in 3D vortex flows1
Enhanced diapycnal mixing with polarity-reversing internal solitary waves revealed by seismic reflection data1
Evolution of small-scale turbulence at large Richardson numbers1
Non-linear hydrologic organization1
Evaluation of forecasts by a global data-driven weather model with and without probabilistic post-processing at Norwegian stations1
Using orthogonal vectors to improve the ensemble space of the ensemble Kalman filter and its effect on data assimilation and forecasting1
Applying prior correlations for ensemble-based spatial localization1
Prognostic assumed-probability-density-function (distribution density function) approach: further generalization and demonstrations1
Ensemble Riemannian data assimilation over the Wasserstein space1
Robust weather-adaptive post-processing using model output statistics random forests1
A robust numerical method for the generation and propagation of periodic finite-amplitude internal waves in natural waters using high-accuracy simulations1
Multivariate localization functions for strongly coupled data assimilation in the bivariate Lorenz 96 system1
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