Climate Change and Relationship between Meteorological Parameters: A Case Study of Jacobabad (Sindh), Pakistan
This paper aims to establish a relationship between selective meteorological variables such as wind speed, relative humidity, precipitation, maximum temperature and minimum temperature that contribute in the climate change of Jacobabad, a small district of Sindh province of Pakistan. Mean monthly time series data of meteorological variables were obtained for 10 years from Jan 2001 to Dec-2010. Regression analysis, Co-integration technique and Granger Causality test were applied to model wind speed as a function of meteorological conditions. The results reveal that a stable long run relationship exists between factors of climate change. Bi-directional causality was found between wind speed (V) and independent variables such as humidity (H), maximum temperature (T max) and minimum temperature (T min).
Year of publication: |
2013
|
---|---|
Authors: | Khalil, Dr. Samina ; Zaheer, Sumaiya |
Published in: |
International Journal of Asian Social Science. - Asian Economic and Social Society. - Vol. 3.2013, 7, p. 1607-1624
|
Publisher: |
Asian Economic and Social Society |
Subject: | Relative humidity | Precipitation | Granger causality test | Unit root test |
Saved in:
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