Stabilising CO2 concentration as a channel for global disaster risk mitigation

We investigate the influence of anthropogenic <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML"><mml:msub><mml:mtext>CO</mml:mtext> <mml:mn>2</mml:mn></mml:msub> </mml:math> concentration fluctuations on the likelihood of climate-related disasters. We calibrate annual incidence rates against global disasters and <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML"><mml:msub><mml:mtext>CO</mml:mtext> <mml:mn>2</mml:mn></mml:msub> </mml:math> growth spanning from 1960 to 2022 based on a dynamic panel logit model. We also study the sensitivity of disaster incidence to stochastic carbon dynamics consistent with IPCC-projected climate outcomes for 2100. The key insight is that present and lagged <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML"><mml:msub><mml:mtext>CO</mml:mtext> <mml:mn>2</mml:mn></mml:msub> </mml:math> growth contains valuable information about the likelihood of future disaster events. We further show that lowering carbon stock uncertainty by dampening the persistence or the variability of <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML"><mml:msub><mml:mtext>CO</mml:mtext> <mml:mn>2</mml:mn></mml:msub> </mml:math> concentration has a first-order impact on mitigating expected disaster risk.

Authors

Institutions

Publication Details

Journal
Scientific Reports
Published
2024-11-24
DOI
https://doi.org/10.1038/s41598-024-79437-5
Citations
2
Primary Topic
Atmospheric and Environmental Gas Dynamics
Type
article
Field-Weighted Citation Impact
0.57
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Stabilising CO2 concentration as a channel for global disaster risk mitigation

Saite Lu, Demosthenes N. Tambakis
2 citations
Scientific Reports
Atmospheric and Environmental Gas Dynamics
0.57
article

Stabilising CO2 concentration as a channel for global disaster risk mitigation

Saite Lu, Demosthenes N. Tambakis
article en
2 citations

Abstract

We investigate the influence of anthropogenic <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML"><mml:msub><mml:mtext>CO</mml:mtext> <mml:mn>2</mml:mn></mml:msub> </mml:math> concentration fluctuations on the likelihood of climate-related disasters. We calibrate annual incidence rates against global disasters and <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML"><mml:msub><mml:mtext>CO</mml:mtext> <mml:mn>2</mml:mn></mml:msub> </mml:math> growth spanning from 1960 to 2022 based on a dynamic panel logit model. We also study the sensitivity of disaster incidence to stochastic carbon dynamics consistent with IPCC-projected climate outcomes for 2100. The key insight is that present and lagged <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML"><mml:msub><mml:mtext>CO</mml:mtext> <mml:mn>2</mml:mn></mml:msub> </mml:math> growth contains valuable information about the likelihood of future disaster events. We further show that lowering carbon stock uncertainty by dampening the persistence or the variability of <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML"><mml:msub><mml:mtext>CO</mml:mtext> <mml:mn>2</mml:mn></mml:msub> </mml:math> concentration has a first-order impact on mitigating expected disaster risk.

Scientific ReportsVol. 14(1)
University of Cambridge (GB)
Climate action
Openalex Percentile: Top 32%
Atmospheric and Environmental Gas Dynamics
0.57
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.