2011
DOI: 10.9734/bjecc/2011/353
|View full text |Cite
|
Sign up to set email alerts
|

Application of Harmonic Analysis in the Preliminary Prediction of Air Temperature over Lagos and Abuja, Nigeria

Abstract: Harmonic Analysis technique has been employed in predicting the hourly air temperature variations over Lagos and Abuja, Nigeria. The variations in hourly air temperatures over the two stations are periodic and thus have strong tendency of being repeated the next day, if all other atmospheric variables are constant. It was observed that the variation in hourly air temperature in the two stations is dominated by the first harmonic, thus it fluctuates by one cycle with a period of 24 hours. Invariably, harmonic e… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
2
1

Citation Types

0
3
0

Year Published

2017
2017
2020
2020

Publication Types

Select...
2

Relationship

0
2

Authors

Journals

citations
Cited by 2 publications
(3 citation statements)
references
References 7 publications
0
3
0
Order By: Relevance
“…Fourier series model is represented by the following equation (Panofsky and Brier 1960;Isikwue et al 2011) C i is the amplitude of the ith harmonic;…”
Section: Modified Fourier Series Modelmentioning
confidence: 99%
See 2 more Smart Citations
“…Fourier series model is represented by the following equation (Panofsky and Brier 1960;Isikwue et al 2011) C i is the amplitude of the ith harmonic;…”
Section: Modified Fourier Series Modelmentioning
confidence: 99%
“…These methods include linear models (Parton and Logon 1981), simple curve fitting models based on sine or exponential analysis (Isikwue et al 2011) and more complex energy budget models (Goudrian and Waggoner 1972; Lemon et al 1972). Studies revealed that some of these models had been modified to account for the decay of air temperature at nighttime, while others are yet to be corrected (Ephrath et al 1996;Parton and Logon 1981).…”
Section: Introductionmentioning
confidence: 99%
See 1 more Smart Citation