Abstract. The study examines whether maximum/minimum temperature is responsible for a warming/ cooling trend. In order to accomplish this, linear regression was used in temperature series such as mean (Tmean), maximum (Tmax), minimum (Tmin) and diurnal temperature range (DTR). A detailed analysis indicates that 11 out of 13 stations over the West Coast region (WCR) show a significant increase in annual Tmean as a result of an increase in annual Tmax. However, the Northeast region (NER) shows a mixed trend, with 6 stations displaying significant increases in annual Tmean and 2 showing significant decreases. Both these patterns can be ascribed to a decrease or increase either in Tmin or Tmax. In DTR, 85% of the stations over the WCR show a significant increasing trend, while 60% of stations in the NER display a significant decreasing trend. Analysis of meteorological parameters reveals that low/medium cloud, calm days, winds, forest cover and population growth influence Tmax/Tmin for the NER, whereas low cloud cover and wind direction have an influence over the WCR.
Climate change due to increasing concentrations of greenhouse gases (GHGs) has emerged as a serious global environmental issue. An attempt has been made to assess the GHG emissions in two geographical regions of India i.e. the Northeast Region (NER) and the West coast Region (WCR) during the period of 1980-2005. The analysis reveals an increasing trend in GHG emissions from the study regions except for CH4, which shows a decreasing trend in Goa and Kerala. As far as state wise GHG emissions are concerned; Assam ranks first in CO2, CH4 and N2O emissions from the NER. Konkan ranks first in CO2 and CH4 emissions, while Kerala ranks first in N2O emissions representing the WCR. Analysis of the compounded annual growth rate reveals higher for the WCR in CO2 and CH4 emissions except N2O where the NER remains the highest. In order to find the association between GHG emissions and climatic response, the mean air temperature for 26 stations in both regions were subjected to trend analysis. The findings show warming trends in the mean air temperature over a majority of the stations indicating a possible role by increased GHGs. Further, the analysis reveals a positive correlation of population and GHG emissions significantly at 99% for both the regions.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.
hi@scite.ai
10624 S. Eastern Ave., Ste. A-614
Henderson, NV 89052, USA
Copyright © 2024 scite LLC. All rights reserved.
Made with 💙 for researchers
Part of the Research Solutions Family.