1 citations · 1 across the 3 of their papers we have counts for
3 papers
Extrapolation from historical data cannot reliably predict the time of a potential AMOC collapse
Andreas Morr, Maya Ben-Yami, Brian Groenke +6
Ditlevsen and Ditlevsen [Nature Communications, 2023] (DD23 hereafter) propose a statistical framework to estimate the timing of a potential collapse of the Atlantic Meridional Ove…
Bayesian identification of early warning signals for long-range dependent climatic time series
Sigrunn H. Sørbye, Eirik Myrvoll-Nilsen, Håvard Rue
Detecting early warning signals in climatic time series is essential for anticipating critical transitions and tipping points. Common statistical indicators include increased varia…
An approximate fractional Gaussian noise model with computational cost
Sigrunn H. Sørbye, Eirik Myrvoll-Nilsen, Håvard Rue
Fractional Gaussian noise (fGn) is a stationary time series model with long memory properties applied in various fields like econometrics, hydrology and climatology. The computatio…