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Title Analysis of Monthly Lightning Distribution in Nigeria
Full text http://eprints.covenantuniversity.edu.ng/16545/1/Analysis%20of%20Monthly.pdf
Date 2022
Author(s) Anyiam, Chinemere E.; Omidiora, Michael A.; Samuel, I. A.; Holle, Ronald L.
Abstract This is the first time in the literature that lightning distribution maps for Nigeria will be published, particularly on a monthly basis. A lightning dataset from the Global Lightning Dataset GLD360 network was analyzed for Nigeria from 2015 to 2021. The dataset contains over 123 million strokes, that occurred in Nigeria. Vaisala owns GLD360, which can properly detect the majority of lightning discharges throughout the world. The lightning variability on a monthly scale was first addressed for all 36 states and Federal Capital Territory in Nigeria. The monthly lightning stroke densities and occurrences for each state were an-alyzed to show the lightning-prone areas in the country. Analysis of the lightning dataset was performed with Python programming language and ArcGIS. It is expected that knowledge of lightning variability in Nigeria will help understanding of the weather conditions responsible for the lightning occurrence, the effect of lightning on power reliability, help locate severe weather, and when to safely have outdoor events in the country.
Subject(s) TK Electrical engineering. Electronics Nuclear engineering
Language en
Relation http://eprints.covenantuniversity.edu.ng/16545/
Type of publication Conference or Workshop Item; PeerReviewed
Format application/pdf
Identifier Anyiam, Chinemere E. and Omidiora, Michael A. and Samuel, I. A. and Holle, Ronald L. (2022) Analysis of Monthly Lightning Distribution in Nigeria. In: 36th International Conference, 2022, Online.
Repository Nigeria - Covenant University
Added to C-A: 2023-01-26;07:39:00