Observed and simulated climate variability and trends in a semiarid region

• Published in: Spatial information research (Online) pp. 129 - 138
• Main Authors: Sri Lakshmi Sesha Vani Jayanthi, Venkata Reddy Keesara
• Format: Journal Article
• Language: English
• Published: 대한공간정보학회 01.02.2020
• Subjects: 공학일반
• ISSN: 2366-3286; 2366-3294
• DOI: 10.1007/s41324-019-00278-w

Understanding climate variability under various climate scenarios is essential to predict the adverse impacts of climate change. Climate variability is often assessed by detection and estimation of trends in the observed and future climate variables. The objective of this study is to determine the trends in precipitation (PCP), minimum and maximum temperature (TMAX, TMIN) in Telangana, India which is a semi-arid region. To assess the observed climate trends, gridded rainfall and temperature data obtained from the Indian Meteorological Department (IMD) for 63 years (1951–2013) are used in the present study. The future climate scenarios for Telangana are assessed using the regional climate model data obtained from Coordinated Regional Climate Downscaling Experiment under RCP 4.5 and RCP 8.5 for 31 years (2020–2050). Climate variability is assessed by calculating co-efficient of variation, parametric (linear regression) and non-parametric tests (Mann–Kendall and Sen’s Slope) are employed at each grid point to determine the possible trends in the climate. The results exhibit a significant increasing trend in for both TMAX and TMIN observed data. Whereas, the daily PCP exhibits no specific pattern indicating uncertainty in precipitation. For the future period, RCP 4.5 scenario shows an increasing trend for PCP and TMAX, while decreasing trend is observed for TMIN. RCP 8.5 scenario results show a decreasing trend for PCP and increasing trends for both TMAX and TMIN. KCI Citation Count: 0