Stochastic modelling and predictability: analysis of a low-order coupled ocean–atmosphere model

DOI10.1098/rsta.2013.0282zbMath1353.86026OpenAlexW2151303643WikidataQ39694583 ScholiaQ39694583MaRDI QIDQ2955652

Stephane Vannitsem

Publication date: 13 January 2017

Published in: Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1098/rsta.2013.0282

Mathematics Subject Classification ID

Hydrology, hydrography, oceanography (86A05) Meteorology and atmospheric physics (86A10) Computational methods for problems pertaining to geophysics (86-08)

Cites Work

• Reduced models of atmospheric low-frequency variability: parameter estimation and comparative performance
• Ensemble forecasting
• Stochastic modelling: replacing fast degrees of freedom by noise
• Deterministic Nonperiodic Flow
• Reduction of deterministic coupled atmosphere–ocean models to stochastic ocean models: a numerical case study of the Lorenz–Maas system

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