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Showing 1–4 of 4 results
Advanced filters: Author: Aljoscha Rheinwalt Clear advanced filters

  • Most time series techniques tend to ignore data uncertainties, which results in inaccurate conclusions. Here, Goswami et al. represent time series as a sequence of probability density functions, and reliably detect abrupt transitions by identifying communities in probabilistic recurrence networks.

    • Bedartha Goswami
    • Niklas Boers
    • Jürgen Kurths
    ResearchOpen Access
    Nature Communications
    Volume: 9, P: 1-10

  • Complex networks are used to analyse global-scale teleconnections between extreme-rainfall events, revealing a peak in the distance distribution of statistically significant connections at around 10,000 kilometres.

    • Niklas Boers
    • Bedartha Goswami
    • Jürgen Kurths
    Research
    Nature
    Volume: 566, P: 373-377

  • Thermodynamically, rainfall events are expected to become stronger in a warming climate. Here, the authors demonstrate the importance of dynamical aspects to the temperature-rainfall scaling by quantifying the influence of cyclonic activity that leads to negative scaling over large parts of the tropical oceans.

    • Dominik Traxl
    • Niklas Boers
    • Bodo Bookhagen
    ResearchOpen Access
    Nature Communications
    Volume: 12, P: 1-9