Evidence map›Paper›PMID 41973915›Full record

ArticleProceedings of the National Academy of Sciences of the United States of America2026

Weather forecasts become more important for reducing mortality as the climate warms.

Jeffrey G Shrader, Stephan Thies, Laura Bakkensen, Manuel Linsenmeier, Derek Lemoine

Abstract read
In one paragraph

Article in Proceedings of the National Academy of Sciences of the United States of America, 2026. 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
–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

3 citing papers in PubMed.

  1. Article
  2. Global inequalities in weather forecasts.Nature communications · 2026
    Article
  3. Weather forecasts become more important for reducing mortality as the climate warms.Proceedings of the National Academy of Sciences of the United States of America · 2026
    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

5 authors.

Jeffrey G ShraderSchool of International and Public Affairs, Columbia University, New York, NY 10027.ORCID 0000-0002-8981-0450
Stephan ThiesSchool of International and Public Affairs, Columbia University, New York, NY 10027.ORCID 0000-0001-7002-9624
Laura BakkensenDepartment of Economics, University of Oregon, Eugene, OR 97403.ORCID 0000-0003-1518-3981
Manuel LinsenmeierCenter for Critical Computational Studies, Goethe University, Frankfurt am Main 60322, Germany.ORCID 0000-0002-7790-4011
Derek LemoineDepartment of Economics, University of Arizona, Tucson, AZ 85721.ORCID 0000-0002-1298-9472

Funding

National Science Foundation (NSF) SES-2315555National Science Foundation (NSF) SES-2315556
6 · The paper itself

Abstract

Climate change will increase the frequency and severity of extreme heat, which is a leading cause of weather-related mortality. We combine causal estimates of how temperature forecast accuracy affects mortality in the United States with expert projections of changes in forecast accuracy over the coming century. Our analysis shows that improving short-run temperature forecasts in line with central expert projections would reduce annual heat-related mortality by about 18% by 2100, saving thousands of lives per year. If investments in earth observation networks and weather models improve forecasts in line with optimistic expert projections, annual heat-related mortality would fall by around 25% by 2100. Improving forecasts facilitates adaptation to climate change, saving more lives when climate change is more severe.

Indexed as

Climate ChangeHot TemperatureMortalityWeatherForecastingHumansUnited Statesclimate changeearly warningforecastsmortality

Identifiers

PMID41973915
PMCPMC13099585

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.