Evidence map›Paper›PMID 35860749›Full record

ArticleEarth's future2022

Correlation Between Sea-Level Rise and Aspects of Future Tropical Cyclone Activity in CMIP6 Models.

Joseph W Lockwood, Michael Oppenheimer, Ning Lin, Robert E Kopp, Gabriel A Vecchi, Avantika Gori

Abstract read
In one paragraph

Article in Earth's future, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. 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

6 authors.

Joseph W LockwoodDepartment of Geoscience Princeton University Princeton NJ USA.ORCID https://orcid.org/0000-0001-9564-448X
Michael OppenheimerDepartment of Geoscience Princeton University Princeton NJ USA.ORCID https://orcid.org/0000-0002-9708-5914
Ning LinCivil and Environmental Engineering Princeton University Princeton NJ USA.ORCID https://orcid.org/0000-0002-5571-1606
Robert E KoppInstitute of Earth, Ocean, and Atmospheric Sciences Rutgers University New Brunswick NJ USA.ORCID https://orcid.org/0000-0003-4016-9428
Gabriel A VecchiDepartment of Geoscience Princeton University Princeton NJ USA.ORCID https://orcid.org/0000-0002-5085-224X
Avantika GoriCivil and Environmental Engineering Princeton University Princeton NJ USA.ORCID https://orcid.org/0000-0002-1605-2505

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Future coastal flood hazard at many locations will be impacted by both tropical cyclone (TC) change and relative sea-level rise (SLR). Despite sea level and TC activity being influenced by common thermodynamic and dynamic climate variables, their future changes are generally considered independently. Here, we investigate correlations between SLR and TC change derived from simulations of 26 Coupled Model Intercomparison Project Phase 6 models. We first explore correlations between SLR and TC activity by inference from two large-scale factors known to modulate TC activity: potential intensity (PI) and vertical wind shear. Under the high emissions SSP5-8.5, SLR is strongly correlated with PI change (positively) and vertical wind shear change (negatively) over much of the western North Atlantic and North West Pacific, with global mean surface air temperature (GSAT) modulating the co-variability. To explore the impact of the joint changes on flood hazard, we conduct climatological-hydrodynamic modeling at five sites along the US East and Gulf Coasts. Positive correlations between SLR and TC change alter flood hazard projections, particularly at Wilmington, Charleston and New Orleans. For example, if positive correlations between SLR and TC changes are ignored in estimating flood hazard at Wilmington, the average projected change to the historical 100 years storm tide event is under-estimated by 12%. Our results suggest that flood hazard assessments that neglect the joint influence of these factors and that do not reflect the full distribution of GSAT change may not accurately represent future flood hazard.

Identifiers

PMID35860749
PMCPMC9285431

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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.