Evidence map›Paper›PMID 42321324›Full record

ArticleScientific reports2026

Projected heatwave hazards in an eastern Amazonian metropolis under contrasting CMIP6 scenarios.

Everaldo B de Souza, Douglas B S Ferreira, Alan C da Cunha, Felipe G de Souza, Rodrigo H M Braga, Adriano M L Sousa, Carlos B B Gutierrez, Alexandre M C Carmo, Luiz R R Costa, Waléria P M Corrêa and 8 more

Abstract read
In one paragraph

Article in Scientific reports, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

18 authors.

Everaldo B de SouzaInstituto de Geociências, Universidade Federal do Pará, Belém, Brazil. everaldo@ufpa.br.
Douglas B S FerreiraInstituto Tecnológico Vale, Belém, Brazil.
Alan C da CunhaDepartamento de Engenharia Civil, Universidade Federal do Amapá, Macapá, Brazil.
Felipe G de SouzaInstituto de Ciências Biológicas, Universidade Federal do Pará, Belém, Brazil.
Rodrigo H M BragaMuseu Paraense Emilio Goeldi, Belém, Brazil.
Adriano M L SousaInstituto Sócio Ambiental e Recursos Hídricos, Universidade Federal Rural da Amazônia, Belém, Brazil.
Carlos B B GutierrezDepartamento de Engenharia Ambiental, Universidade do Estado do Pará, Belém, Brazil.
Alexandre M C CarmoInstituto de Geociências, Universidade Federal do Pará, Belém, Brazil.
Luiz R R CostaInstituto de Geociências, Universidade Federal do Pará, Belém, Brazil.
Waléria P M CorrêaInstituto de Geociências, Universidade Federal do Pará, Belém, Brazil.
Thaine S S DiasInstituto de Geociências, Universidade Federal do Pará, Belém, Brazil.
Vania S F SodréInstituto Tecnológico Vale, Belém, Brazil.
Victor H M PacaServiço Geológico do Brasil, Rio de Janeiro, Brazil.
Daniel P BitencourtFundação Jorge Duprat Figueiredo de Segurança e Medicina do Trabalho, Florianópolis, Brazil.
João de A Silva JuniorInstituto de Geociências, Universidade Federal do Pará, Belém, Brazil.
Pedro W M E Souza-FilhoInstituto de Geociências, Universidade Federal do Pará, Belém, Brazil.
Gilberto de M RochaNúcleo de Meio Ambiente, Universidade Federal do Pará, Belém, Brazil.
Tercio AmbrizziInstituto de Energia e Ambiente, Universidade de São Paulo, São Paulo, Brazil.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Heatwaves (HWs) are among the most impactful climate extremes affecting tropical urban environments, yet local‑scale assessments of their future characteristics remain scarce in the Amazon. Here, we quantify projected changes in key HW indicators for the Belém urban core, eastern Amazon, using a station‑referenced framework based on a carefully evaluated and bias‑corrected ensemble of CMIP6 global models. HWs are identified from daily maximum air temperature (Tmax) using a smoothed day‑of‑year 95th percentile threshold calculated over the 1994-2023 baseline period. Changes in annual frequency, event duration, and thermal intensity are assessed for near‑future (2025-2049) and far‑future (2050-2074) periods under four Shared Socioeconomic Pathways (SSP1‑2.6, SSP2‑4.5, SSP3‑7.0, and SSP5‑8.5). A multi‑metric performance evaluation is first applied to select the best‑performing CMIP6 models for Tmax over Belém, followed by bias correction using Quantile Delta Mapping calibrated against local observations. Results show a clear, scenario‑dependent intensification of HW hazards. In the current climate, 126 HW events were detected, with pronounced interannual variability and a marked increase during the last decade. Near‑future changes are modest and variable across scenarios. In contrast, far‑future projections under the high‑emission SSP5‑8.5 pathway reveal a substantial transformation of the HW regime: annual frequency more than doubles relative to the baseline, and the 99th percentile of event duration increases from approximately 19 to 65 days (Δ = +46 days), with a 14.5% probability that any given HW will exceed the current extreme threshold. Peak Tmax during HWs increases from 37.0 °C to 37.55 °C (Δ = +0.55 °C), thus indicating an upper-tail amplification. Under the strong mitigation pathway SSP1‑2.6, changes in HW duration and intensity remain statistically indistinguishable from present‑day conditions. While this study does not assess impacts or adaptation capacity, the results provide a hazard‑based, scenario‑dependent characterization of future heatwave behavior in an Amazonian urban context, offering a quantitative foundation for subsequent assessments of climate risk in tropical cities.

Indexed as

AmazonBelémHeat-related extremesMaximum air temperatureQDM bias correctionSSPs

Identifiers

PMID42321324
PMCPMC13476235

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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.