Nonlinear Processes in Geophysics

(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 2020-07-01 to 2024-07-01.)
Data-driven predictions of a multiscale Lorenz 96 chaotic system using machine-learning methods: reservoir computing, artificial neural network, and long short-term memory network108
Training a convolutional neural network to conserve mass in data assimilation18
Statistical postprocessing of ensemble forecasts for severe weather at Deutscher Wetterdienst16
Recurrence analysis of extreme event-like data15
Integrated hydrodynamic and machine learning models for compound flooding prediction in a data-scarce estuarine delta13
Producing realistic climate data with generative adversarial networks9
Size distribution law of earthquake-triggered landslides in different seismic intensity zones8
Review article: Hilbert problems for the climate sciences in the 21st century – 20 years later8
Enhanced internal tidal mixing in the Philippine Sea mesoscale environment8
Lévy noise versus Gaussian-noise-induced transitions in the Ghil–Sellers energy balance model7
Identification of linear response functions from arbitrary perturbation experiments in the presence of noise – Part 1: Method development and toy model demonstration7
Enhanced diapycnal mixing with polarity-reversing internal solitary waves revealed by seismic reflection data7
A methodology to obtain model-error covariances due to the discretization scheme from the parametric Kalman filter perspective7
How many modes are needed to predict climate bifurcations? Lessons from an experiment7
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
A range of outcomes: the combined effects of internal variability and anthropogenic forcing on regional climate trends over Europe6
Comparing estimation techniques for temporal scaling in palaeoclimate time series6
Magnetospheric chaos and dynamical complexity response during storm time disturbance6
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
Non-linear hydrologic organization5
Anthropocene climate bifurcation5
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
Reduced non-Gaussianity by 30 s rapid update in convective-scale numerical weather prediction4
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
Ensemble Riemannian data assimilation over the Wasserstein space4
The effect of strong shear on internal solitary-like waves4
Ensemble-based statistical interpolation with Gaussian anamorphosis for the spatial analysis of precipitation4
Review article: Scaling, dynamical regimes, and stratification. How long does weather last? How big is a cloud?4
Application of Lévy processes in modelling (geodetic) time series with mixed spectra4