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  • Andrew J. Majda; Samuel N. Stechmann; Shengqian Chen; H. Reed Ogrosky; Sulian Thual
    978-3-030-22247-5
    2019
    Edition 1
    • Contributes to understanding and predicting intraseasonal variability, especially in the tropics
    • Demonstrates how a blend of modern applied mathematical tools can be used in conjunction with physical insight to create a model that captures the fundamental features of the MJO
    • Presents the stochastic skeleton model that offers a theoretical prediction of the MJO’s structure, leading to new detailed methods to identify it in observational data
    • Authors are leading experts in applied mathematics and atmosphere, climate, and ocean science

    €99

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