Understanding the distinctively skewed and heavy tailed character of atmospheric and oceanic probability distributions
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Publication:4591642
DOI10.1063/1.4914169zbMath1374.86060OpenAlexW2140028040WikidataQ87038623 ScholiaQ87038623MaRDI QIDQ4591642
Prashant D. Sardeshmukh, Cécile Penland
Publication date: 17 November 2017
Published in: Chaos: An Interdisciplinary Journal of Nonlinear Science (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1063/1.4914169
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Cites Work
- Noise-induced transitions. Theory and applications in physics, chemistry, and biology
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- Addressing model error through atmospheric stochastic physical parametrizations: impact on the coupled ECMWF seasonal forecasting system
- Normal forms for reduced stochastic climate models
- Numerical Treatment of Stochastic Differential Equations
- Stochastic forcing of the linearized Navier–Stokes equations
- A Note on Skewness and Kurtosis
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