63 citations · 303 across the 21 of their papers we have counts for
22 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…
Reconstructing Historical Climate Fields With Deep Learning
Nils Bochow, Anna Poltronieri, Martin Rypdal +1
Historical records of climate fields are often sparse due to missing measurements, especially before the introduction of large-scale satellite missions. Several statistical and mod…
Apparent universality of spectra as an artifact of finite-size effects
M. A. Korzeniowska, A. Theodorsen, M. Rypdal +1
Power spectral density scaling with frequency as and is widely found in natural and socio-economic systems. Consequently, it has been suggested that such s…
Intervention fatigue is the primary cause of strong secondary waves in the COVID-19 pandemic
Kristoffer Rypdal, Filippo Maria Bianchi, Martin Rypdal
As of November 2020, the number of COVID-19 cases is increasing rapidly in many countries. In Europe, the virus spread slowed considerably in the late spring due to strict lockdown…
A parsimonious description and cross-country analysis of COVID-19 epidemic curve
Kristoffer Rypdal, Martin Rypdal
In a given country, the cumulative death toll of the first wave of the COVID-19 epidemic follows a sigmoid curve as a function of time. In most cases, the curve is well described b…
Long-range persistence in global surface temperatures explained by linear multi-box energy balance models
Hege-Beate Fredriksen, Martin Rypdal
The temporal fluctuations in global mean surface temperature is an example of a geophysical quantity which can be described using the notions of long-range persistence and scale in…