Evidence map›Paper›PMID 41387530›Full record

ArticleScientific reports2025

The emerging contribution of Tigris Euphrates basin dust emissions to extreme dust activity over the Arabian Peninsula.

Harikishan Gandham, Rama Krishna Karumuri, Hari Prasad Dasari, Prajeesh Athippatta Gopinathan, Thang M Luong, Ibrahim Hoteit

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Article in Scientific reports, 2025. 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

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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

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3 · Its place in the literature

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0 citing papers in PubMed.

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4 · The record

Corrections and comments

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5 · Who and what money

Authors and funding

6 authors.

Harikishan GandhamPhysical Sciences and Engineering Division, King Abdullah University of Science and Technology (KAUST), 23955-6900, Thuwal, Saudi Arabia.
Rama Krishna KarumuriPhysical Sciences and Engineering Division, King Abdullah University of Science and Technology (KAUST), 23955-6900, Thuwal, Saudi Arabia.
Hari Prasad DasariPhysical Sciences and Engineering Division, King Abdullah University of Science and Technology (KAUST), 23955-6900, Thuwal, Saudi Arabia.
Prajeesh Athippatta GopinathanPhysical Sciences and Engineering Division, King Abdullah University of Science and Technology (KAUST), 23955-6900, Thuwal, Saudi Arabia.
Thang M LuongPhysical Sciences and Engineering Division, King Abdullah University of Science and Technology (KAUST), 23955-6900, Thuwal, Saudi Arabia.
Ibrahim HoteitPhysical Sciences and Engineering Division, King Abdullah University of Science and Technology (KAUST), 23955-6900, Thuwal, Saudi Arabia. ibrahim.hoteit@kaust.edu.sa.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The Arabian Peninsula (AP) is an epicenter of global dust activity, shaped by both local emissions and long-range transport. Recent observational studies suggest that the Tigris-Euphrates river basin (TE) is the dominant contributor to the intense dust periods over the AP. This study, for the first time, quantifies the influence of TE during these periods using a regionally tuned Weather Research and Forecasting model coupled with chemistry (WRF-Chem). Two simulations were conducted with WRF-Chem for three extreme dust seasons (March-August; 2009, 2011, and 2012): one with dust emissions from all sources, including TE, and the other with TE emissions excluded. Results show that excluding TE emissions significantly reduces mean atmospheric dust loading and decreases dust concentrations across atmospheric layers over the AP. Reduced dust concentrations enhance surface shortwave radiation, increasing solar energy potential and improving regional particulate air quality. This also contributes to cooler nighttime temperatures by limiting trapping of longwave radiation.Critically, our findings indicate that the dust transport from TE controls the intensity and frequency of dust events in the AP during the study period. Suppressing TE dust emissions leads to a substantial reduction over 50% in the occurrence of extreme dust events over the AP. At the same time, it increases the prevalence of moderate and heavy dust events across most of the region. The Kingdom of Saudi Arabia (KSA) is pursuing ambitious strategies to mitigate dust extremes. Effective action depends on identifying dominant sources and their contributions. This study quantifies the impact of the remote TE source on KSA dust extremes, offering a strong basis for targeted control measures.

Indexed as

Dust extremesDust transportTigris-Euphrates river basinWRF-Chem

Identifiers

PMID41387530
PMCPMC12800217

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LicenceCC BY-NC-ND
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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.