Evidence map›Paper›PMID 41917094›Full record

ArticleScientific reports2026

High-resolution assessment of wind energy resources over the Arabian Peninsula.

Harikishan Gandham, Hari Prasad Dasari, Abdullah Alfadda, Ibrahim Hoteit

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Article in Scientific reports, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

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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

5 citing papers in PubMed.

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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.

Harikishan GandhamPhysical Sciences and Engineering Division, King Abdullah University of Science and Technology (KAUST), Thuwal, 23955-6900, Saudi Arabia.
Hari Prasad DasariPhysical Sciences and Engineering Division, King Abdullah University of Science and Technology (KAUST), Thuwal, 23955-6900, Saudi Arabia.
Abdullah AlfaddaMinistry of Energy, Riyadh, Saudi Arabia.
Ibrahim HoteitPhysical Sciences and Engineering Division, King Abdullah University of Science and Technology (KAUST), Thuwal, 23955-6900, 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 a climate change hotspot characterized by extreme climatic conditions that drive high energy demand and urgently require sustainable energy solutions. In this context, wind energy offers a reliable pathway for large-scale renewable energy development. This study presents a comprehensive, high-resolution assessment of wind resources across the AP using a 5-km reanalysis dataset (APR) generated with a regionally tuned Weather Research and Forecasting (WRF) model for the period 1980–2019. Validation of 100 m wind speeds (WS100) from APR against ground-based observations shows strong agreement, with statistically significant correlations and low biases across the region. WS100 magnitudes exhibit strong seasonality throughout the AP. Wind drought episodes (WS100 < 3.5 m/s) are prevalent along the western coast, while rated-wind conditions (WS100 between 11 and 25 m/s), critical for turbine performance, occur most frequently over the northern and central Red Sea. Extreme wind events (WS100 > 25 m/s) are rare across the AP. Long-term trends reveal a pronounced summer weakening of WS100 over the northern Red Sea and eastern AP, and a concurrent strengthening over the central Red Sea and southern Saudi Arabia. These changes are accompanied by increased wind droughts in the former and more frequent rated-wind conditions in the latter. Capacity factor estimates derived from modern turbine technologies highlight key wind energy hotspots in the Gulf of Aqaba, the Suez Canal, the Tokar Gap region, and central-western Saudi Arabia. These trends are analogous to the long-term evolution observed in WS100. Our analysis offers strategic insights for wind farm deployment and infrastructure planning, supporting sustainable energy development and strengthening energy security across the Kingdom of Saudi Arabia.

Indexed as

100 m wind speedsArabian Peninsula and Red SeaHigh-resolution wind energy resourcesWeather research and forecasting modelWind droughts

Identifiers

PMID41917094
PMCPMC13180975

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LicenceCC BY-NC-ND
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Registered trials

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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.