Assessment of Trends and Variability of Rainfall for the Shillong City of Meghalaya, India
The purpose of this study is to examine and evaluate the patterns and variability of rainfall in Shillong and its surrounding areas, located in the Meghalaya hills of north-east India, which is geographically a neighbouring region to the wettest sections of the Earth, i.e. Cherrapunji and Mawsynram. Due to its geo-ecological fragility, strategic location vis-à – vis the eastern Himalayan landscape and international borders, its transboundary river basins and its inherent socio-economic instability, the northeast Indian area of India is expected to be highly vulnerable to the effects of climate change. Using data collected from the IMD station at Shillong, a study of variability and trends in annual , seasonal, monthly and daily rainfall was carried out, trying to highlight whether rainfall in the Shillong region has increased or decreased over the years. The coefficient of rainfall variability is used to compare the area’s present rainfall pattern with its past rainfall patterns. to annual, seasonal, monthly and daily rainfall was carried out, using the data collected from the IMD station at Shillong; thereby attempting to highlight whether rainfall in Shillong area has been increasing or decreasing over the years. Rainfall variability coefficient is utilized to compare the current rainfall trend of the area with its past rainfall trends. The present study also aims to analyse the frequency of occurrence of extreme rainfall events over the region. These studies will help us to establish a correlation between the current rainfall trend and climate change scenario of the study area.
Author (s) Details
Kamal Kumar Tanti
Department of Physics, Assam Energy Institute (a Centre of Rajiv Gandhi Institute of Petroleum Technology, Jais, Amethi), Sivasagar, Assam, India.
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annual Cherrapunji climate change extreme rainfall events Mawsynram. monthly and daily rainfall rainfall variability coefficient seasonal Shillong Trends and variability of rainfall