Impact of Long‐Distance Interaction Indicator (Monsoon Indices) on Spatio‐Temporal Variability of Precipitation Over the Mahanadi River Basin

Abstract

Sea Surface Temperature (SST) is the most important physical characteristic of the ocean, that is, the temperature of water at the surface level, and it plays a significant role mainly with latitude (Ashok et al., 2001;Sahai et al., 2003;Verma, 1994). Atmospheric and oceanic behavior have been studied, but recent research has augmented the concern for an incomplete understanding of climate phenomena (Chakraborty & Singhai, 2021;Di Capua et al., 2020;Sundaram & Holland, 2022). The above concern is in connection with multi-scale system interaction, which typically exhibits unique local and non-local interrelationships (a statistical conceptualization). The SST and air temperature have a significant impact on the atmospheric moisture content, which is an

Analysis of Rainfall Trends in India, Incorporating Non-Parametric Tests and Wavelet Synopsis over the Last 117 Years

“…Wavelet analysis has also been used in recent research, but only in specific areas (Adarsh and Janga Reddy, 2015) or specific regions of the country (Pandey et al, 2017). Some of these studies were performed in various parts of India to detect trends in hydro-climatic variables (Sahu et al, 2023c). Guhathakurta and Rajeevan (2008) used a linear regression technique to analyze 36 meteorological subdivisions in India.…”