Abstract
RegCM is a Regional Climate Model (RCM), mostly applied in regional climate change and seasonal prediction around the world. The International Centre for Theoretical Physics improves this model and releases updated version over years. In the present study a comparison was made between RegCM3 and RegCM4 versions of this model in simulating climate change over Cauvery Delta Zone of Tamilnadu. The simulations were made using ECHAM5 global climate model outputs of A1B scenario with a resolution of 25 km from 1971 to 2100. The comparison of yearly and decadal means indicated that there exists a significant and positive difference in simulation of rainfall and relative humidity by RegCM4 while solar radiation, maximum temperature, minimum temperature and wind speed showed significant negative difference. The Seasonal and monthly comparisons revealed that difference across weather variables is not consistent as that of yearly and decadal. The decadal projections showed a marked increase in maximum temperature, minimum temperature and rainfall. A slight increase in relative humidity and a slight decline in solar radiation and wind speed were noticed under RegCM4 simulations. Keywords: RegCM3, RegCM4, Cauvery Delta Zone, A1B Scenario
Highlights
Climate change is one of the key factor in determining the sustainability and conservation of living species on earth, which is an important emerging issue of the 21st century [1]
To overcome the limitations of Global Climate Models (GCMs), dynamical downscaling using high-resolution Regional Climate Models (RCMs) nested in GCMs are used. These RCMs lead to better estimations of future climate conditions since their horizontal resolutions are much finer than the GCMs [5]
Climate change projections were obtained from RegCM3 and RegCM4 regional climate models at 25 km × 25 km resolution by ingesting ECHAM5 global climate model A1B boundaries as inputs initialized from 1970
Summary
Climate change is one of the key factor in determining the sustainability and conservation of living species on earth, which is an important emerging issue of the 21st century [1]. In order to have a future insight into changing climate, climate models are being employed around the world using climate change scenarios. In order to facilitate the scientific community, to carry out research on impacts of climate change, Intergovernmental Panel on Climate Change (IPCC) has developed Special Report on Emission Scenarios (SRES). Global Climate Models (GCMs) are used for simulating global climate system and provide estimates of climate variables [3]. To overcome the limitations of GCM, dynamical downscaling using high-resolution Regional Climate Models (RCMs) nested in GCMs are used. These RCMs lead to better estimations of future climate conditions since their horizontal resolutions are much finer than the GCMs [5]
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