Evidence map›Paper›PMID 34321705›Full record

ArticleClimatic change2021

A temperature binning approach for multi-sector climate impact analysis.

Marcus C Sarofim, Jeremy Martinich, James E Neumann, Jacqueline Willwerth, Zoe Kerrich, Michael Kolian, Charles Fant, Corinne Hartin

Abstract read
In one paragraph

Article in Climatic change, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

7 citing papers in PubMed.

  1. Article
  2. Article
  3. Climate change impacts on tropical cyclone-induced power outage risk: Sociodemographic differences in outage burdens.Proceedings of the National Academy of Sciences of the United States of America · 2025
    Article
  4. Article
  5. Article
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  7. 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

8 authors.

Marcus C SarofimUS Environmental Protection Agency, Washington, D.C, USA.
Jeremy MartinichUS Environmental Protection Agency, Washington, D.C, USA.
James E NeumannIndustrial Economics, Inc, Cambridge, MA, USA.
Jacqueline WillwerthIndustrial Economics, Inc, Cambridge, MA, USA.
Zoe KerrichIndustrial Economics, Inc, Cambridge, MA, USA.
Michael KolianUS Environmental Protection Agency, Washington, D.C, USA.
Charles FantIndustrial Economics, Inc, Cambridge, MA, USA.
Corinne HartinUS Environmental Protection Agency, Washington, D.C, USA.ORCID 0000-0003-1834-6539

Funding

Intramural EPA EPA999999
6 · The paper itself

Abstract

Characterizing the future risks of climate change is a key goal of climate impacts analysis. Temperature binning provides a framework for analyzing sector-specific impacts by degree of warming as an alternative or complement to traditional scenario-based approaches in order to improve communication of results, comparability between studies, and flexibility to facilitate scenario analysis. In this study, we estimate damages for nine climate impact sectors within the contiguous United States (US) using downscaled climate projections from six global climate models, at integer degrees of US national warming. Each sector is analyzed based on socioeconomic conditions for both the beginning and the end of the century. The potential for adaptive measures to decrease damages is also demonstrated for select sectors; differences in damages across adaptation response scenarios within some sectors can be as much as an order of magnitude. Estimated national damages from these sectors based on a reactive adaptation assumption and 2010 socioeconomic conditions range from $600 million annually per degree of national warming for winter recreation to $8 billion annually per degree of national warming for labor impacts. Results are also estimated per degree of global temperature change and for 2090 socioeconomic conditions.

Indexed as

AdaptationClimateDamagesImpactsProjectionsTemperature

Identifiers

PMID34321705
PMCPMC8311571

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LicenceCC BY
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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.