Evidence map›Paper›PMID 41882154›Full record

ArticleScientific reports2026

Drought pattern under climate change in Harris County, Texas, USA based on CMIP6 projections.

N S Abeysingha, Ram L Ray, Kusalika M Kularathna, D M B M Deegala

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.

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

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

4 authors.

N S AbeysinghaCollege of Agriculture, Food and Natural Resources, Prairie View A&M University, Prairie View, TX, 77446, USA.
Ram L RayCollege of Agriculture, Food and Natural Resources, Prairie View A&M University, Prairie View, TX, 77446, USA. raray@pvamu.edu.ORCID http://orcid.org/0000-0002-7833-9253
Kusalika M KularathnaCollege of Agriculture, Food and Natural Resources, Prairie View A&M University, Prairie View, TX, 77446, USA.
D M B M DeegalaCollege of Agriculture, Food and Natural Resources, Prairie View A&M University, Prairie View, TX, 77446, USA.

Funding

National Institute of Food and Agriculture NR237442XXXXC023
6 · The paper itself

Abstract

This study assessed future drought conditions in Harris County, Texas, using five Coupled Model Intercomparison Project Phase 6 (CMIP6) General Circulation Models (GCMs) under SSP1-2.6, SSP2-4.5, and SSP5-8.5 scenarios for the period 2026–2085. The analysis employed the Standardized Precipitation Evapotranspiration Index (SPEI-6 and SPEI-12) to characterize drought, providing comprehensive insights into future drought risk. The results indicate a substantial increase in drought frequency, intensity, and severity in Harris County, particularly during the far-future period (2056–2085). The study identified an oscillating drought pattern: high frequency (1980–2002), temporary reduction (2003–2024), and projected intensification (2056–2085). Under medium and high emission scenarios, both SPEI-6 and SPEI-12 exhibit significant (p < 0.05) negative trends across the ensemble mean and most individual GCMs for the future period, in contrast to the historical period where both SPEI-6 and SPEI-12 demonstrate slight positive trends. Severity duration frequency curve analysis reveals that future droughts under SPEI-12 will be significantly more severe across all return periods (2–50 years). Although Harris County is experiencing relatively lower drought risk at present, the identified oscillating pattern and projected doubling of drought frequency under SSP5-8.5 represent a critical threshold for regional water security, requiring heightened attention from policymakers for proactive planning and adaptation strategies.

Indexed as

Climate changeDrought severityNEX-GDDP; SPEISDF curves

Identifiers

PMID41882154
PMCPMC13168460

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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.