Simulation of precipitation and temperature for detection of local extreme events using RegCM4.4 downscaling

Abstract:

Detection of extreme weather events is a challenging goal among the scientific communities for the ecosystem and socio-economic development of the highly vulnerable land over the Indian subcontinents. RegCM4.4 has been used to simulate regional climate at 50km grid resolution over South Asia CORDEX( Coordinated Regional Downscaling Experiment) domain. The initial and lateral boundary conditions have been used from GFDL-ESM2M as forcing with 6-hourly time steps to integrating the reference period for a continuous run from January 1975 to December 2005. The performance of the model was compared with observed precipitation and temperature data. The main focused of these studies are variability and trends of the temperature and precipitation. The diurnal temperature range (DTR), extreme precipitation were teleconnection with different indices like ENSO, Indian ocean dipole(IOD), Northern Indian Ocean(NIO) and Indian Ocean subtropical high(IOSH). From this study leads to understanding of systematic dynamical and thermodynamic relation with regional-scale phenomena to establish combined new ideas of prediction system of monsoon for Indian over arid and semiarid and high latitude region. The oddity of Tmax and Tmin is even higher in comparison to the mean temperature between the ocean and land interactions, which is due to local sporadic behavior and intensification of extreme precipitation events. It’s provides an important contribution to highlighting the risk areas in terms of climate variability and extremes. This climate information can be utilized by the meteorologists of India as well as the different landmass around the world for robust prediction of the future climate for mean and extreme weather events.