Evidence map›Paper›PMID 38467707›Full record

ArticleScientific reports2024

Global multi-hazard risk assessment in a changing climate.

Zélie Stalhandske, Carmen B Steinmann, Simona Meiler, Inga J Sauer, Thomas Vogt, David N Bresch, Chahan M Kropf

Abstract read
In one paragraph

Article in Scientific reports, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

5 citing papers in PubMed.

  1. Article
  2. Article
  3. The state of the art and future of climate risk insurance modeling.Annals of the New York Academy of Sciences · 2024
    Review
  4. Article
  5. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

7 authors.

Zélie Stalhandske *Institute for Environmental Decisions, ETH Zurich, 8092, Zurich, Switzerland. zelie.stalhandske@usys.ethz.ch.
Carmen B Steinmann *Institute for Environmental Decisions, ETH Zurich, 8092, Zurich, Switzerland.
Simona MeilerInstitute for Environmental Decisions, ETH Zurich, 8092, Zurich, Switzerland.
Inga J SauerInstitute for Environmental Decisions, ETH Zurich, 8092, Zurich, Switzerland.
Thomas VogtPotsdam Institute for Climate Impact Research, Potsdam, 14473, Germany.
David N BreschInstitute for Environmental Decisions, ETH Zurich, 8092, Zurich, Switzerland.ORCID http://orcid.org/0000-0002-8431-4263
Chahan M KropfInstitute for Environmental Decisions, ETH Zurich, 8092, Zurich, Switzerland.

Funding

EC | Horizon 2020 Framework Programme (EU Framework Programme for Research and Innovation H2020) 820712EC | Horizon 2020 Framework Programme (EU Framework Programme for Research and Innovation H2020) 821010
6 · The paper itself

Abstract

Natural hazards pose significant risks to people and assets in many regions of the world. Quantifying associated risks is crucial for many applications such as adaptation option appraisal and insurance pricing. However, traditional risk assessment approaches have focused on the impacts of single hazards, ignoring the effects of multi-hazard risks and potentially leading to underestimations or overestimations of risks. In this work, we present a framework for modelling multi-hazard risks globally in a consistent way, considering hazards, exposures, vulnerabilities, and assumptions on recovery. We illustrate the approach using river floods and tropical cyclones impacting people and physical assets on a global scale in a changing climate. To ensure physical consistency, we combine single hazard models that were driven by the same climate model realizations. Our results show that incorporating common physical drivers and recovery considerably alters the multi-hazard risk. We finally demonstrate how our framework can accommodate more than two hazards and integrate diverse assumptions about recovery processes based on a national case study. This framework is implemented in the open-source climate risk assessment platform CLIMADA and can be applied to various hazards and exposures, providing a more comprehensive approach to risk management than conventional methods.

Identifiers

PMID38467707
PMCPMC11636830

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.