M Rajeevan results 65
· Newest (Page 1/3, per page 25)
Author: M Rajeevan ×Clear All Filters
Search Results
Employing observed gridded daily rainfall and temperature datasets for 1971–2022, we developed a revised India Climate Extremes Index ( IndCEI ) to assess long‐term variability in climate extremes across the country. The IndCEI modifies the original CEI framework by integrating seven indicators particularly relevant to the Indian climate system: maximum temperature ( T max ), minimum temperature ( T min ), consecutive dry days...
Connecting with nature: The missing link between a satisfied life and a healthy life?NARA Subscribed
Nature connection is an important leverage point for human wellbeing and planetary health. In this paper, we examine the varying relationships between nature connection and wellbeing measures through a nationally-representative survey in Australia. We find a positive association between nature connection and two measures of wellbeing: life satisfaction (measured through the personal wellbeing index; PWI) and health-related qua...
This study investigates long‐term changes in wet bulb temperature (WBT) along the Indian coasts during 1981–2020, together with associated variations in dry bulb temperature (DBT) and specific humidity ( q ). The analysis is carried out separately for the four seasons—January–March (JFM), April–June (AMJ), July–September, and October–December (OND). The results show a significant rise in the seasonal daily maximum WBT across a...
To investigate the mechanisms responsible for severe convection linked with a variety of mesoscale, synoptic systems over the Indian region, a preliminary analysis is conducted. Using IMD RSRW/Reanalysis (ERA5)/Lightning (TRMM LIS) products both local‐scale thermodynamics and large‐scale background conditions responsible for the major lightning hot spots in different seasons are investigated. In the pre‐monsoon season, high li...
Assessment of hot weather seasonal temperatures over India using Monsoon Mission Coupled Forecasting System hindcastsNARA Subscribed
The present study evaluates the skill of seasonal forecasts of temperatures over India during April to June using the Monsoon Mission Coupled Forecasting System (MMCFS) model hindcasts, which are initialized with February initial conditions. Model hindcast data of 1981–2017 period have been used for the analysis. The India Meteorological Department (IMD) gridded temperature dataset has been used for model verifications. The MM...