Evidence map›Paper›PMID 37942296›Full record

ArticleEarth system dynamics : ESD2023

Advancing the estimation of future climate impacts within the United States.

Corinne Hartin, Erin E McDuffie, Karen Noiva, Marcus Sarofim, Bryan Parthum, Jeremy Martinich, Sarah Barr, Jim Neumann, Jacqueline Willwerth, Allen Fawcett

Open access · goldAbstract read
In one paragraph

Article in Earth system dynamics : ESD, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
1.7field-weighted citation impact, top 17% 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

4 citing papers in PubMed, 11 citations in OpenAlex.

  1. Article
  2. Global Burden of Disease from Environmental Factors.Annual review of public health · 2025
    Review
  3. Article
  4. 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

10 authors at 2 institutions in 4 countries.

Corinne HartinClimate Change Division, Office of Atmospheric Protection, U.S. Environmental Protection Agency, Washington, DC 20004, USA.
Erin E McDuffieClimate Change Division, Office of Atmospheric Protection, U.S. Environmental Protection Agency, Washington, DC 20004, USA.
Karen NoivaIndustrial Economics, Incorporated, 2067 Massachusetts Ave, Cambridge, MA 02140, USA.
Marcus SarofimClimate Change Division, Office of Atmospheric Protection, U.S. Environmental Protection Agency, Washington, DC 20004, USA.
Bryan ParthumNational Center for Environmental Economics, Office of Policy, U.S. Environmental Protection Agency, Washington, DC 20004, USA.
Jeremy MartinichClimate Change Division, Office of Atmospheric Protection, U.S. Environmental Protection Agency, Washington, DC 20004, USA.
Sarah BarrClimate Change Division, Office of Atmospheric Protection, U.S. Environmental Protection Agency, Washington, DC 20004, USA.
Jim NeumannIndustrial Economics, Incorporated, 2067 Massachusetts Ave, Cambridge, MA 02140, USA.
Jacqueline WillwerthIndustrial Economics, Incorporated, 2067 Massachusetts Ave, Cambridge, MA 02140, USA.
Allen FawcettClimate Change Division, Office of Atmospheric Protection, U.S. Environmental Protection Agency, Washington, DC 20004, USA.
Environmental Protection Agency · USInstitute of Industrial Economics · UA

Funding

Intramural EPA EPA999999
6 · The paper itself

Abstract

Evidence of the physical and economic impacts of climate change is a critical input to policy development and decision-making. In addition to the magnitude of potential impacts, detailed estimates of where, when, and to whom those damages may occur; the types of impacts that will be most damaging; uncertainties in these damages; and the ability of adaptation to reduce potential risks are all interconnected and important considerations. This study utilizes the reduced-complexity model, the Framework for Evaluating Damages and Impacts (FrEDI), to rapidly project economic and physical impacts of climate change across 10 000 future scenarios for multiple impact sectors, regions, and populations within the contiguous United States (US). Results from FrEDI show that net national damages increase overtime, with mean climate-driven damages estimated to reach USD 2.9 trillion (95 % confidence interval (CI): USD 510 billion to USD 12 trillion) annually by 2090. Detailed FrEDI results show that for the analyzed sectors the majority of annual long-term (e.g., 2090) damages are associated with climate change impacts to human health, including mortality attributable to climate-driven changes in temperature and air pollution (O

Identifiers

PMID37942296
PMCPMC10631227
OpenAlexW4387354581

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.