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Nonlinear Processes in Geophysics is a peer-reviewed journal published by Copernicus Publications, covering Climate variability and models, Meteorological Phenomena and Simulations, Oceanographic and Atmospheric Processes. Over its lifetime it has published 1,621 papers, which have received 44,280 citations.
| Publisher | Copernicus Publications |
|---|---|
| Reference style | Author–year (Copernicus) Author–year — (Smith, 2023) in the text Smith, A., Jones, B., and Lee, C.: A representative article title, Nonlinear Processes in Geophysics, 12, 45–58, 2023.
Formats any DOI in Nonlinear Processes in Geophysics style. No sign-up. |
| Publishes research in | Climate variability and models Meteorological Phenomena and Simulations Oceanographic and Atmospheric Processes Solar and Space Plasma Dynamics Ionosphere and magnetosphere dynamics |
| ISSN | 1023-5809 |
| Citation impact (2-yr) | 2.38 |
| h-index | 84 |
| i10-index | 974 |
| Article processing charge | $1,412 |
| Open access | Yes — indexed in DOAJ |
| Top institutions publishing here | Centre National de la Recherche Scientifique |
| Journal website | www.nonlinear-processes-in-geophysics.net |
| You get | A submission-ready PDF and the editable LaTeX source — ready to submit. |
Citations each year’s papers have accumulated so far — the most recent years are still building up.
Abstract. Many scientists have made use of the wavelet method in analyzing time series, often using popular free software. However, at present there are no similar easy to use wavelet packages for analyzing two time series together. We discuss the cross wavelet transform and wavelet coherence for examining relationships in time frequency space between two…
Abstract. In this paper, we present a detailed evaluation of cross wavelet analysis of bivariate time series. We develop a statistical test for zero wavelet coherency based on Monte Carlo simulations. If at least one of the two processes considered is Gaussian white noise, an approximative formula for the critical value can be utilized. In…
Abstract. Conditional nonlinear optimal perturbation (CNOP) is proposed to study the predictability of numerical weather and climate prediction. A simple coupled ocean-atmosphere model for ENSO is adopted as an example to show its applicability. In the case of climatological mean state being the basic state, it is shown that CNOP tends to evolve into El…
Abstract. The majority of data sets in the geosciences are obtained from observations and measurements of natural systems, rather than in the laboratory. These data sets are often full of gaps, due to to the conditions under which the measurements are made. Missing data give rise to various problems, for example in spectral estimation or…
Abstract. Probability distributions of multivariate random variables are generally more complex compared to their univariate counterparts which is due to a possible nonlinear dependence between the random variables. One approach to this problem is the use of copulas, which have become popular over recent years, especially in fields like econometrics, finance, risk management, or insurance.…
