A Non-parametric Trend Evaluation Approach of Rainfall Data for Biswanath Chariali Weather Station and NASA Power
Pal Deka *
Department of Agricultural Statistics, Biswanath College of Agriculture, Assam Agricultural University, Jorhat, Assam, India.
Prasanta Neog
Department of Agro-Meteorology, Biswanath College of Agriculture, Assam Agricultural University, Jorhat, Assam, India.
Pranjal Kr. Chakravartty
ASSIST Project under AHIDMS, Medical Education & Research Department, Guwahati, Govt. of Assam, India.
Nabajit Tanti
Department of Tea Husbandry and Technology, Biswanath College of Agriculture, Assam Agricultural University, Jorhat, Assam, India.
Sneha Chanda
Department of Statistics, Birjhora Mahavidyalaya, Bongaigaon, Assam, India.
*Author to whom correspondence should be addressed.
Abstract
Rainfall data is important in climatic planning and research endeavors. It is imperative that rainfall data be recorded continually because it needs to be accessible at all times. Here, in this study rainfall data were collected from NASA Power and Biswanath Chariali weather station on a monthly and annual basis between 1981 and 2021. The average yearly rainfall as reported by NASA power and the Biswanath Chariali weather station was found to differ significantly. Additionally, the study attempted to analyze the seasonal and annual trends in the rainfall data that were obtained from these two data sources. The analysis showed that the yearly rainfall trend, as measured by NASA power data, is significantly increasing. While evident, the seasonal trend for the pre-, during-, and post-monsoon was not statistically significant. The study has tried to notify that NASA Power data could also be considered as a reliable data source along with Biswanath Chariali weather station data to study the rainfall trend behavior of Biswanath district.
Keywords: Rainfall, trend, seasonal, NASA Power, Biswanath Chariali weather station