Full-text sections checked
Publisher HTML: Materials and methods; Results and discussion—Climatic indices (Figs. 3–6); Conclusion; Data availability.
Checked16 October 2026 · Northern, central and southern Thailand
Thai/English summaries are project paraphrases, not official translations or endorsement of the original study.
Research question
How do projected climate extremes differ across Thai regions?
Method and context
Six CMIP6 models combined using neural-network backpropagation; five extreme indices and two future forcing scenarios.
Study summary
The study compares regional dry, wet and warm spells. These are climate projections for adaptation planning, not observed disaster losses or operational forecasts.
Findings
Projected warm spells intensify particularly in northern and central regions; consecutive wet days increase especially in central and southern regions.
Contribution
Separates regional hazard patterns, supporting differentiated planning discussions rather than a single national scenario.
Interpretation limits
Authors acknowledge model uncertainty and restricted data. Our appraisal: reported scenario and index definitions need clarification before operational reuse.
A question for further research
Project proposal: compare regional scenario assumptions against Thai station records before designing CPX injects.
A starting point for a study design: extend the literature search, specify methods and outcomes, and assess ethics requirements for the data and participants.
Connect evidence to KSEC / OBE
Project-proposed critical-appraisal evidence, not research findings or accreditation criteria from the original authors.
- K
- Explain the question, concepts and findings with locators in the original.
- S
- Compare methods, variables and limitations with another study before designing a test or CPX.
- E
- Separate reported results from your proposals, cite originals and examine implications for vulnerable groups.
- C
- Record responses to critique and revisions after new evidence. Observe behaviour repeatedly, not from a single reading.
Related learning modules
Related knowledge domains
Original-study citation
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 (2025). Analysis of drought and extreme precipitation events in Thailand: trends, climate modeling, and implications for climate change adaptation. Scientific Reports, 15, 4501. https://doi.org/10.1038/s41598-025-86826-x
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