Evidence map›Paper›PMID 39915536›Full record

ArticleScientific reports2025

Analysis of drought and extreme precipitation events in Thailand: trends, climate modeling, and implications for climate change adaptation.

José Francisco de Oliveira-Júnior, David Mendes, Helder Dutra Porto, Kelvy Rosalvo Alencar Cardoso, José Augusto Ferreira Neto, Emannuel Bezerra Cavalcante da Silva, Marlúcia de Aquino Pereira, Monica Cristina Damião Mendes, Bernardo Bruno Dias Baracho, Punyawi Jamjareegulgarn

Abstract read
In one paragraph

Article in Scientific reports, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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.

José Francisco de Oliveira-JúniorLaboratório de Meteorologia Aplicada e Meio Ambiente (LAMMA), Instituto de Ciências Atmosféricas (ICAT), Universidade Federal do Alagoas, Maceió Alagoas, Brazil.
David MendesPost-Graduate Program in Aerospace Engineering - PPGEA, Federal University of Rio Grande do Norte, Campus Universitário Lagoa Nova, Natal, Brazil.
Helder Dutra PortoPrograma de Pós-Graduação em Engenharia de Biossistemas, Universidade Federal Fluminense, Niterói, Rio de Janeiro, Brazil.
Kelvy Rosalvo Alencar CardosoLaboratório de Meteorologia Aplicada e Meio Ambiente (LAMMA), Instituto de Ciências Atmosféricas (ICAT), Universidade Federal do Alagoas, Maceió Alagoas, Brazil.
José Augusto Ferreira NetoPrograma de Pós-graduação em Ciências Climáticas, Laboratório de Estudos Avançados do Clima, Universidade Federal do Rio Grande do Norte, Natal, Brazil.
Emannuel Bezerra Cavalcante da SilvaPrograma de Pós-graduação em Ciências Climáticas, Laboratório de Estudos Avançados do Clima, Universidade Federal do Rio Grande do Norte, Natal, Brazil.
Marlúcia de Aquino PereiraPrograma de Pós-graduação em Ciências Climáticas, Laboratório de Estudos Avançados do Clima, Universidade Federal do Rio Grande do Norte, Natal, Brazil.
Monica Cristina Damião MendesInstituto Nacional de Pesquisa Espacial, Ministério da Ciência, Tecnologia e Inovação, São Paulo, Brazil.
Bernardo Bruno Dias BarachoDepartamento de Ciências Atmosféricas e Climáticas, Laboratorio de Estudos Avançados do Clima, Universidade Federal do Rio Grande do Norte, Natal, Brazil. chjamjar@hotmail.com.
Punyawi JamjareegulgarnKing Mongkut's Institute of Technology Ladkrabang, Prince of Chumphon Campus, Chumphon, 86160, Thailand. kjpunyaw@gmail.com.

Funding

Thailand Science Research and Innovation Fund RE-KRIS/FF67/008
6 · The paper itself

Abstract

Thailand is under threat from climate change, where extreme climate events are expected to intensify and increase in the coming decades. The objective is to assess extreme drought and rainfall events in Thailand based on climate modeling through an ensemble for future projections of extreme climate indices. The climate indices used were Consecutive Dry Days (CDD), Maximum Number of Consecutive Summer Days (CSU), Consecutive Wet Days (CWD), Warm Spell Duration Index (WSDI), and Maximum Number of Consecutive Wet Days (WW) derived from simulations of an ensemble composed of six models from the Intergovernmental Panel on Climate Change (IPCC) via the Coupled Model Intercomparison Project Phase 6 (CMIP6) using Artificial Neural Networks (ANN) with the backpropagation method. The projections were based on three scenarios: historical (20th century); intermediate forcing (RCP 4.5) and high forcing (RCP 8.5). The results of the climate indices pointed to significant regional differences in Thailand. Historically, the CDD indicated 35 consecutive dry days in the northern (N) and northeastern (NE) parts of Thailand, whereas the southern region showed CDD values of fewer than 10 consecutive dry days. In the R4.5 scenario, a meridional pattern emerged in CDD, increasing from east (E) to west (W). In the R8.5 scenario, the number of consecutive dry days increased across the entire country. The WSDI stood out in both the R4.5 and R8.5 scenarios, with an increase in the duration of warm spells in Thailand. The CSU did not perform satisfactorily in the scenarios adopted. Historically, the CWD indicated consecutive wet days in the N and NE, whereas in the R4.5 and R8.5 scenarios, this was observed only in the Central and Southern regions. Historically, the maximum number of consecutive rainy days varied in the NE and South via WW. In the R4.5 and R8.5 scenarios, there was a significant increase in the maximum number of consecutive rainy days across Thailand. Projections based on climate indices indicate that Thailand needs to adopt mitigation measures across its regions to neutralize the impacts of extreme drought and rainfall events on socioeconomic sectors, particularly in tourism, industry, agricultural production, and food security for its population.

Indexed as

AdaptationClimate changeClimate modelingDrought eventsExtreme precipitation

Identifiers

PMID39915536
PMCPMC11803104

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.