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  • 1
    Online Resource
    Online Resource
    Cambridge :Cambridge University Press,
    Keywords: Statistical weather forecasting. ; Electronic books.
    Description / Table of Contents: This edited volume presents the latest developments and current research questions in nonlinear and stochastic climate dynamics. It provides graduate students and researchers with a broad overview of the physical climate system and introduces powerful data analysis and modeling methods for climate scientists and applied mathematicians.
    Type of Medium: Online Resource
    Pages: 1 online resource (468 pages)
    Edition: 1st ed.
    ISBN: 9781316883877
    DDC: 551.60151922
    Language: English
    Note: Cover -- Half-title page -- Title page -- Copyright page -- Contents -- List of Figures -- List of Contributors -- Preface -- 1 Challenges for Ice Age Dynamics: A Dynamical Systems Perspective -- 2 Tipping Points in the Climate System -- 3 Atmospheric Teleconnection Patterns -- 4 Atmospheric Regimes: The Link between Weather and the Large-Scale Circulation -- 5 Low-Frequency Regime Transitions and Predictability of Regimes in a Barotropic Model -- 6 Complex Network Techniques for Climatological Data Analysis -- 7 On Inference and Validation of Causality Relations in Climate Teleconnections -- 8 Stochastic Climate Theory -- 9 Stochastic Subgrid Modelling for Geophysical and Three-Dimensional Turbulence -- 10 Model Error in Data Assimilation -- 11 Long-Term Memory in Climate: Detection, Extreme Events, and Significance of Trends -- 12 Fractional Stochastic Models for Heavy Tailed, and Long-Range Dependent, Fluctuations in Physical Systems -- 13 Modelling Spatial Extremes Using Max-Stable Processes -- 14 Extreme Value Analysis in Dynamical Systems:Two Case Studies -- Index.
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  • 2
    Publication Date: 2022-01-31
    Description: Near-term climate predictions — which operate on annual to decadal timescales — offer benefits for climate adaptation and resilience, and are thus important for society. Although skilful near-term predictions are now possible, particularly when coupled models are initialized from the current climate state (most importantly from the ocean), several scientific challenges remain, including gaps in understanding and modelling the underlying physical mechanisms. This Perspective discusses how these challenges can be overcome, outlining concrete steps towards the provision of operational near-term climate predictions. Progress in this endeavour will bridge the gap between current seasonal forecasts and century-scale climate change projections, allowing a seamless climate service delivery chain to be established.
    Type: Article , PeerReviewed
    Format: text
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