Estimation of Cloudiness Data Based on Multiple Linear Regression Model

Mine Tulin Zateroglu

doi:10.31466/kfbd.1150879

TR EN

Estimation of Cloudiness Data Based on Multiple Linear Regression Model

Abstract

This study estimates cloudiness data using meteorological parameters which include climatic variables and air quality index. Daily average observed values of all meteorological parameters used in this study were transformed to monthly mean data for 1990-2015 period. The monthly mean values of cloudiness were estimated by using the other climatic elements and the value air quality index at urban area in Kayseri. Multiple Linear Regression model was built to determine the mathematical relationships for predicting cloudiness. It has been shown that meteorological parameters affect cloudiness the most in May and October, and the least in September and January. Additionally, according to the estimated models, air quality index value has effect on cloudiness data on January, July, October and November as statistically significant.

Keywords

Cloudiness, Climatic Variables, Air Quality Index Value, Multiple Linear Regression Model

References

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Details

Primary Language

English

Subjects

Engineering

Journal Section

Research Article

Authors

Mine Tulin Zateroglu ^*
0000-0002-1050-6174
Türkiye

Publication Date

March 15, 2023

Submission Date

July 29, 2022

Acceptance Date

February 5, 2023

Published in Issue

Year 2023 Volume: 13 Number: 1

DOI

https://doi.org/10.31466/kfbd.1150879

IZ

https://izlik.org/JA39RA34JL

APA

Zateroglu, M. T. (2023). Estimation of Cloudiness Data Based on Multiple Linear Regression Model. Karadeniz Fen Bilimleri Dergisi, 13(1), 33-41. https://doi.org/10.31466/kfbd.1150879

AMA

1.Zateroglu MT. Estimation of Cloudiness Data Based on Multiple Linear Regression Model. KFBD. 2023;13(1):33-41. doi:10.31466/kfbd.1150879

Chicago

Zateroglu, Mine Tulin. 2023. “Estimation of Cloudiness Data Based on Multiple Linear Regression Model”. Karadeniz Fen Bilimleri Dergisi 13 (1): 33-41. https://doi.org/10.31466/kfbd.1150879.

EndNote

Zateroglu MT (March 1, 2023) Estimation of Cloudiness Data Based on Multiple Linear Regression Model. Karadeniz Fen Bilimleri Dergisi 13 1 33–41.

IEEE

[1]M. T. Zateroglu, “Estimation of Cloudiness Data Based on Multiple Linear Regression Model”, KFBD, vol. 13, no. 1, pp. 33–41, Mar. 2023, doi: 10.31466/kfbd.1150879.

ISNAD

Zateroglu, Mine Tulin. “Estimation of Cloudiness Data Based on Multiple Linear Regression Model”. Karadeniz Fen Bilimleri Dergisi 13/1 (March 1, 2023): 33-41. https://doi.org/10.31466/kfbd.1150879.

JAMA

1.Zateroglu MT. Estimation of Cloudiness Data Based on Multiple Linear Regression Model. KFBD. 2023;13:33–41.

MLA

Zateroglu, Mine Tulin. “Estimation of Cloudiness Data Based on Multiple Linear Regression Model”. Karadeniz Fen Bilimleri Dergisi, vol. 13, no. 1, Mar. 2023, pp. 33-41, doi:10.31466/kfbd.1150879.

Vancouver

1.Mine Tulin Zateroglu. Estimation of Cloudiness Data Based on Multiple Linear Regression Model. KFBD. 2023 Mar. 1;13(1):33-41. doi:10.31466/kfbd.1150879

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The published articles in The Black Sea Journal of Sciences are licensed under Creative Commons Attribution-NonCommercial 4.0 International

Bulutluluk Verisinin Çoklu Doğrusal Regresyon Modeli Kullanılarak Tahmin Edilmesi

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Estimation of Cloudiness Data Based on Multiple Linear Regression Model

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Cited By

Comparative Analysis for Atmospheric Oscillations