Evidence map›Paper›PMID 41315752›Full record

ArticleScientific reports2025

Linking the North Atlantic Oscillation to rainfall variability and dynamics in Algeria through GIS and wavelet theory.

Bilel Zerouali, Mohamed Chettih, Faten Nahas, Celso Augusto Guimarães Santos, Paolo Porto, Nadjem Bailek, Abid Ouadja, Jihad A Younis, El-Sayed M El-Kenawy, Shabana Urooj and 1 more

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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. Cited by 1 paper.

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0cells of the map it votes in
1citing papers in PubMed
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1 · What the graph read from it

What it found

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2 · The registry

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3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

11 authors.

Bilel ZeroualiLaboratory of Architecture, Cities and Environment, Department of Hydraulic, Faculty of Civil Engineering and Architecture, Hassiba Benbouali University of Chlef, B.P. 78C, 02180, Ouled Fares, Algeria. b.zerouali@univ-chlef.dz.ORCID http://orcid.org/0000-0003-4735-9750
Mohamed ChettihResearch Laboratory of Water Resources, Soil and Environment, Department of Civil Engineering, Faculty of Civil Engineering and Architecture, Amar Telidji University, P.O. Box 37.G, 03000, Laghouat, Algeria.ORCID https://orcid.org/0000-0001-6814-1828
Faten NahasDepartment of Geography, College of Humanities and Social Sciences, King Saud University, 11451, Riyadh, Saudi Arabia.
Celso Augusto Guimarães SantosDepartment of Civil and Environmental Engineering, Federal University of Paraíba, João Pessoa, PB, 58051-900, Brazil.ORCID https://orcid.org/0000-0001-7927-9718
Paolo PortoDipartimento Di Agraria, University Mediterranea of Reggio Calabria, 89122, Reggio Calabria, Italy.ORCID https://orcid.org/0000-0001-5597-0811
Nadjem BailekLaboratory of Mathematics Modeling and Applications, Department of Mathematics and Computer Science, Faculty of Sciences and Technology, Ahmed Draia University of Adrar, 01000, Adrar, Algeria. bailek.nadjem@univ-adrar.edu.dz.ORCID https://orcid.org/0000-0001-9051-8548
Abid OuadjaVegetal Chemistry-Water-Energy Research Laboratory, Department of Hydraulic, Faculty of Civil Engineering and Architecture, Hassiba Benbouali University of Chlef, B.P. 78C, 02180, Ouled Fares, Chlef, Algeria.ORCID https://orcid.org/0000-0002-0547-5190
Jihad A YounisDepartment of Mathematics, Aden University, Aden, Yemen. jihadalsaqqaf@gmail.com.
El-Sayed M El-KenawyFaculty of Engineering, Design and Information & Communications Technology (EDICT), School of ICT, Bahrain Polytechnic, P.O. Box 33349, Isa Town, Bahrain.
Shabana UroojDepartment of Electrical Engineering, College of Engineering, Princess Nourah Bint Abdulrahman University, P.O. Box 84428, 11671, Riyadh, Saudi Arabia.
Youssef M YoussefGeological and Geophysical Engineering Department, Faculty of Petroleum and Mining Engineering, Suez University, Suez, 43518, Egypt.ORCID https://orcid.org/0000-0001-5939-732X

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This study presents a regionalized analysis of the relationship between the North Atlantic Oscillation (NAO) and rainfall across 69 monthly rainfall stations in northeastern Algeria for the period 1970-2007. The approach integrates Cross-Wavelet Transform (XWT) and Wavelet Coherence Transform (WCT), complemented by Hierarchical Ascending Classification (HAC) and Geographic information system (GIS), to address dissimilarity issues and to identify coherent spatiotemporal patterns between the NAO and regional rainfall variability. Results indicate strong and persistent coherence in the northern region, particularly within the 4-16 and 16-32-month bands. The central region displays moderate and less stable coherence, whereas the southern region reveals weak and intermittent associations. The findings emphasize the superior reliability of WCT over XWT, due to its enhanced ability to suppress spurious correlations. This analysis corroborates existing evidence of NAO's significant influence on Mediterranean climate variability and demonstrates its potential to improve rainfall forecasting, particularly when integrated with artificial intelligence techniques. Continuous monitoring of NAO phases is recommended to strengthen drought early warning systems and adaptive water resource management strategies in Algeria.

Indexed as

Artificial intelligenceClimate variabilityDrought monitoringHierarchical clusteringWavelet coherence

Identifiers

PMID41315752
PMCPMC12753787

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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.