Evaluating the Suitability of Machine Learning Algorithms for Predicting Extreme Weather Events in Nigeria using Geospatial Data and Climate Variables

Evaluating the Suitability of Machine Learning Algorithms for Predicting Extreme Weather Events in Nigeria using Geospatial Data and Climate Variables

Registration ID: IJNRD_203100

Published ID: IJNRD2308206

DOI: Click Here to Get

Dauda Sulaimon A. , Orimogunje O. O. I

Extreme weather events, Machine learning algorithms, Weather prediction, Geospatial data, Climate variables

Extreme weather events have become increasingly frequent and severe in recent years, posing significant challenges to societies, economies, and the environment. Accurate prediction of these events is crucial for disaster preparedness and climate resilience. While traditional weather prediction methods have limitations in predicting extreme events accurately, advancements in machine learning (ML) techniques show promise in improving weather forecasting. This study aims to evaluate the suitability of ML algorithms for predicting extreme weather events in Nigeria using geospatial data and climate variables. An extensive evaluation of ML methods will be conducted, and the results will provide valuable insights for disaster management and climate resilience in the region.

Published Paper   E-Certificate

"Evaluating the Suitability of Machine Learning Algorithms for Predicting Extreme Weather Events in Nigeria using Geospatial Data and Climate Variables", IJNRD - INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT (www.IJNRD.org), ISSN:2456-4184, Vol.8, Issue 8, page no.b949-b966, August-2023, Available :https://ijnrd.org/papers/IJNRD2308206.pdf

Volume 8 Issue 8, August-2023

Pages : b949-b966

Paper Reg. ID: IJNRD_203100

Published Paper Id: IJNRD2308206

Downloads: 000121167

Research Area: Engineering

Country: Ile Ife, Osun State, Nigeria

Published Paper PDF: https://ijnrd.org/papers/IJNRD2308206.pdf

Published Paper URL: https://ijnrd.org/viewpaperforall?paper=IJNRD2308206

Journal Name: INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT(IJNRD)

ISSN: 2456-4184 | IMPACT FACTOR: 8.76 Calculated By Google Scholar | ESTD YEAR: 2016

An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 8.76 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator

Publisher: IJNRD (IJ Publication) Janvi Wave

This work is licensed under a Creative Commons Attribution 4.0 International License and The Open Definition

Call For Paper - Volume 10 | Issue 8 | August 2025

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INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT (IJNRD) aims to explore advances in research pertaining to applied, theoretical and experimental Technological studies. The goal is to promote scientific information interchange between researchers, developers, engineers, students, and practitioners working in and around the world. IJNRD will provide an opportunity for practitioners and educators of engineering field to exchange research evidence, models of best practice and innovative ideas.

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