Daily Minimum and Maximum Temperature Estimation by Regression Analysis for Karaman City
Abstract
In this study, it was aimed to be predicted the maximum and minimum air temperature for the province Karaman by using the variables of 850hpa temperature, daily sunshine duration, mean temperature, relative humidity, and mean pressure. The prediction of maximum and minimum temperature belonging to the first months of four seasons was firstly made by 850hpa temperature and then, adding the variables of daily sunshine duration, mean temperature, relative humidity, and mean pressure to this in order, regression equations were obtained. In general, in the prediction of minimum and maximum air temperature, regression model, in which the independent variables of 850hpa temperature, daily sunshine duration, and mean temperature, gave better results and, the addition of independent variables of mean pressure and relative humidity to the model did not cause a significant increase in determination coefficients.
Keywords
Details
Primary Language
English
Subjects
Zootechny (Other)
Journal Section
Research Article
Publication Date
December 28, 2018
Submission Date
November 19, 2018
Acceptance Date
-
Published in Issue
Year 2018 Volume: 32 Number: 3
APA
Kav, R., & Keskin, İ. (2018). Daily Minimum and Maximum Temperature Estimation by Regression Analysis for Karaman City. Selcuk Journal of Agriculture and Food Sciences, 32(3), 516-522. https://izlik.org/JA75PG66JF
AMA
1.Kav R, Keskin İ. Daily Minimum and Maximum Temperature Estimation by Regression Analysis for Karaman City. Selcuk J Agr Food Sci. 2018;32(3):516-522. https://izlik.org/JA75PG66JF
Chicago
Kav, Resul, and İsmail Keskin. 2018. “Daily Minimum and Maximum Temperature Estimation by Regression Analysis for Karaman City”. Selcuk Journal of Agriculture and Food Sciences 32 (3): 516-22. https://izlik.org/JA75PG66JF.
EndNote
Kav R, Keskin İ (December 1, 2018) Daily Minimum and Maximum Temperature Estimation by Regression Analysis for Karaman City. Selcuk Journal of Agriculture and Food Sciences 32 3 516–522.
IEEE
[1]R. Kav and İ. Keskin, “Daily Minimum and Maximum Temperature Estimation by Regression Analysis for Karaman City”, Selcuk J Agr Food Sci, vol. 32, no. 3, pp. 516–522, Dec. 2018, [Online]. Available: https://izlik.org/JA75PG66JF
ISNAD
Kav, Resul - Keskin, İsmail. “Daily Minimum and Maximum Temperature Estimation by Regression Analysis for Karaman City”. Selcuk Journal of Agriculture and Food Sciences 32/3 (December 1, 2018): 516-522. https://izlik.org/JA75PG66JF.
JAMA
1.Kav R, Keskin İ. Daily Minimum and Maximum Temperature Estimation by Regression Analysis for Karaman City. Selcuk J Agr Food Sci. 2018;32:516–522.
MLA
Kav, Resul, and İsmail Keskin. “Daily Minimum and Maximum Temperature Estimation by Regression Analysis for Karaman City”. Selcuk Journal of Agriculture and Food Sciences, vol. 32, no. 3, Dec. 2018, pp. 516-22, https://izlik.org/JA75PG66JF.
Vancouver
1.Resul Kav, İsmail Keskin. Daily Minimum and Maximum Temperature Estimation by Regression Analysis for Karaman City. Selcuk J Agr Food Sci [Internet]. 2018 Dec. 1;32(3):516-22. Available from: https://izlik.org/JA75PG66JF