Evaluation of extreme climate over selected eco-climatic regions in Nigeria from observed and simulated (RegCM3) data
by Mary Adefunke Idowu; Olaniran Jonathan Matthew; Adebayo Oluwole Eludoyin
International Journal of Global Warming (IJGW), Vol. 26, No. 2, 2022

Abstract: This study examined local ground-based and regional (RegCM3) climate simulated over Nigeria for temporal and spatial changes using selected extreme climate indices. The data were assessed for quality assurance using RClimdex software, before they were analysed for variability, trend and spatio-temporal patterns. Results showed increasing trends in minimum (b = -0.28-0.08°C, p < 0.05) and maximum (b = 0.006-0.05°C; p < 0.05) temperatures. The RegCM3 mirrored the ground-based data for most of the ecological regions, except for Sudan Savanna. The study concluded that different parts of Nigeria experience changes related to local climatic perturbations, and that the RegCM3 is capable of reflecting the inference from ground-based data for most stations.

Online publication date: Mon, 14-Feb-2022

The full text of this article is only available to individual subscribers or to users at subscribing institutions.

 
Existing subscribers:
Go to Inderscience Online Journals to access the Full Text of this article.

Pay per view:
If you are not a subscriber and you just want to read the full contents of this article, buy online access here.

Complimentary Subscribers, Editors or Members of the Editorial Board of the International Journal of Global Warming (IJGW):
Login with your Inderscience username and password:

    Username:        Password:         

Forgotten your password?


Want to subscribe?
A subscription gives you complete access to all articles in the current issue, as well as to all articles in the previous three years (where applicable). See our Orders page to subscribe.

If you still need assistance, please email subs@inderscience.com