Nonlinear Processes in Geophysics

Papers
(The TQCC of Nonlinear Processes in Geophysics is 4. 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 2020-05-01 to 2024-05-01.)
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 network106
From research to applications – examples of operational ensemble post-processing in France using machine learning17
Training a convolutional neural network to conserve mass in data assimilation16
Recurrence analysis of extreme event-like data15
Statistical postprocessing of ensemble forecasts for severe weather at Deutscher Wetterdienst15
Simulation-based comparison of multivariate ensemble post-processing methods13
Integrated hydrodynamic and machine learning models for compound flooding prediction in a data-scarce estuarine delta11
Enhanced internal tidal mixing in the Philippine Sea mesoscale environment8
A methodology to obtain model-error covariances due to the discretization scheme from the parametric Kalman filter perspective7
Effects of upwelling duration and phytoplankton growth regime on dissolved-oxygen levels in an idealized Iberian Peninsula upwelling system7
Lévy noise versus Gaussian-noise-induced transitions in the Ghil–Sellers energy balance model7
How many modes are needed to predict climate bifurcations? Lessons from an experiment7
Review article: Hilbert problems for the climate sciences in the 21st century – 20 years later7
Producing realistic climate data with generative adversarial networks7
Comparing estimation techniques for temporal scaling in palaeoclimate time series6
Magnetospheric chaos and dynamical complexity response during storm time disturbance6
Identification of linear response functions from arbitrary perturbation experiments in the presence of noise – Part 1: Method development and toy model demonstration6
Fractional relaxation noises, motions and the fractional energy balance equation6
Ordering of trajectories reveals hierarchical finite-time coherent sets in Lagrangian particle data: detecting Agulhas rings in the South Atlantic Ocean6
Enhanced diapycnal mixing with polarity-reversing internal solitary waves revealed by seismic reflection data6
Size distribution law of earthquake-triggered landslides in different seismic intensity zones6
Detecting flow features in scarce trajectory data using networks derived from symbolic itineraries: an application to surface drifters in the North Atlantic5
Calibrated ensemble forecasts of the height of new snow using quantile regression forests and ensemble model output statistics5
A range of outcomes: the combined effects of internal variability and anthropogenic forcing on regional climate trends over Europe5
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
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
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
Application of Lévy processes in modelling (geodetic) time series with mixed spectra4
Review article: Scaling, dynamical regimes, and stratification. How long does weather last? How big is a cloud?4
The effect of strong shear on internal solitary-like waves4
Anthropocene climate bifurcation4
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