When will Arctic sea ice disappear? Projections of area, extent, thickness, and volume

FX Diebold, GD Rudebusch, M Göbel… - Journal of …, 2023 - Elsevier
Rapidly diminishing Arctic summer sea ice is a strong signal of the pace of global climate
change. We provide point, interval, and density forecasts for four measures of Arctic sea ice …

Reprint of: When will Arctic sea ice disappear? Projections of area, extent, thickness, and volume

FX Diebold, GD Rudebusch, M Göbel… - Journal of …, 2024 - Elsevier
Rapidly diminishing Arctic summer sea ice is a strong signal of the pace of global climate
change. We provide point, interval, and density forecasts for four measures of Arctic sea ice …

Global temperature projections from a statistical energy balance model using multiple sources of historical data

M Bennedsen, E Hillebrand, J Zhou Lykke - Journal of Climate, 2023 - journals.ametsoc.org
This paper estimates a two-component energy balance model as a linear state-space
system (EBM-SS model) using historical data. It is a joint model for the temperature in the …

An assessment of air-sea CO2 flux parameterizations during tropical cyclones in the Bay of Bengal

T Bhattacharya, K Chakraborty, S Anthoor… - … of Atmospheres and …, 2023 - Elsevier
The exchange of air-sea CO 2 plays a significant role in regulating the Earth's climate. The
errors associated with the estimations of air-sea CO 2 fluxes during extreme transient events …

Heterogeneous predictive association of CO2 with global warming

L Chen, JJ Dolado, J Gonzalo, A Ramos - Economica, 2023 - Wiley Online Library
Global warming is a non‐uniform process across space and time. This opens the door to a
heterogeneous relationship between CO 2 CO _2 and temperature that needs to be …

High-dimensional causality for climatic attribution

M Friedrich, L Margaritella, S Smeekes - arXiv preprint arXiv:2302.03996, 2023 - arxiv.org
In this paper we test for Granger causality in high-dimensional vector autoregressive models
(VARs) to disentangle and interpret the complex causal chains linking radiative forcings and …

A Statistical Reduced Complexity Climate Model for Probabilistic Analyses and Projections

M Bennedsen, E Hillebrand, SJ Koopman - arXiv preprint arXiv …, 2024 - arxiv.org
We propose a new statistical reduced complexity climate model. The centerpiece of the
model consists of a set of physical equations for the global climate system which we show …

A New Approach to the CO2 Airborne Fraction: Enhancing Statistical Precision and Tackling Zero Emissions

M Bennedsen, E Hillebrand, SJ Koopman - arXiv preprint arXiv …, 2023 - arxiv.org
The global fraction of anthropogenically emitted CO2 that stays in the atmosphere, the CO2
airborne fraction, has been fluctuating around a constant value over the recent period of …

Energy, economy, and emissions: A non-linear state space approach to projections

M Bennedsen, E Hillebrand, JZ Lykke - arXiv preprint arXiv:2312.06600, 2023 - arxiv.org
We propose a non-linear state-space model to examine the relationship between CO $ _2 $
emissions, energy sources, and macroeconomic activity, using data from 1971 to 2019. CO …

Trends in Temperature Data: Micro-foundations of Their Nature

MD Gadea, J Gonzalo, A Ramos - arXiv preprint arXiv:2312.06379, 2023 - arxiv.org
Determining whether Global Average Temperature (GAT) is an integrated process of order
1, I (1), or is a stationary process around a trend function is crucial for detection, attribution …