Evidence map›Paper›PMID 32715011›Full record

ArticleEarth's future2020

A Flood Damage Allowance Framework for Coastal Protection With Deep Uncertainty in Sea Level Rise.

D J Rasmussen, Maya K Buchanan, Robert E Kopp, Michael Oppenheimer

Open access · goldAbstract read
In one paragraph

Article in Earth's future, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
2.8field-weighted citation impact, top 9% of its field
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

3 citing papers in PubMed, 34 citations in OpenAlex.

  1. Cultural and Institutional Factors Driving Severe Repetitive Flood Losses: Insights From the Jersey Shore.Risk analysis : an official publication of the Society for Risk Analysis · 2025
    Article
  2. Article
  3. 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

4 authors at 3 institutions in 1 country.

D J RasmussenWoodrow Wilson School of Public and International Affairs Princeton University Princeton NJ USA.ORCID https://orcid.org/0000-0003-4668-5749
Maya K BuchananClimate Central Princeton NJ USA.ORCID https://orcid.org/0000-0001-9806-1132
Robert E KoppDepartment of Earth and Planetary Sciences Rutgers University Piscataway NJ USA.ORCID https://orcid.org/0000-0003-4016-9428
Michael OppenheimerWoodrow Wilson School of Public and International Affairs Princeton University Princeton NJ USA.ORCID https://orcid.org/0000-0002-9708-5914
Woodrow Wilson International Center for Scholars · USClimate Central · USRutgers, The State University of New Jersey · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Deep uncertainty describes situations when there is either ignorance or disagreement over (1) models used to describe key system processes and (2) probability distributions used to characterize the uncertainty of key variables and parameters. Future projections of Antarctic ice sheet (AIS) mass loss remain characterized by deep uncertainty. This complicates decisions on long-lived coastal protection projects when determining what margin of safety to implement. If the chosen margin of safety does not properly account for uncertainties in sea level rise, the effectiveness of flood protection could decrease over time, potentially putting lives and properties at a greater risk. To address this issue, we develop a flood damage allowance framework for calculating the height of a flood protection strategy needed to ensure that a given level of financial risk is maintained. The damage allowance framework considers decision maker preferences such as planning horizons, protection strategies, and subjective views of AIS stability. We use Manhattan-with the population and built environment fixed in time-to illustrate how our framework could be used to calculate a range of damage allowances based on multiple plausible scenarios of AIS melt. Under high greenhouse gas emissions, we find that results are sensitive to the selection of the upper limit of AIS contributions to sea level rise. Design metrics that specify financial risk targets, such as expected flood damage, allow for the calculation of avoided flood damages (i.e., benefits) that can be combined with estimates of construction cost and then integrated into existing financial decision-making approaches (e.g., benefit-cost analysis).

Indexed as

Antarcticacoastal floodingdamagedeep uncertaintypublic policysea level rise

Identifiers

PMID32715011
PMCPMC7375071
OpenAlexW3003078964

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.