Rainfall Screening Methodology For Salem Hill Using TRMM MethodJournal: International Journal of Emerging Trends & Technology in Computer Science (IJETTCS) (Vol.6, No. 3)
Publication Date: 2017-07-15
Authors : T.Subramani; T.Dhanalakshmi; S.Priyanka;
Page : 118-125
Keywords : Keywords: Rainfall; Screening Methodology; Salem Hill; TRMM Method;
Abstract The aim of this study is to present a rather complete picture about the current (1961-1990) and future (2010-2080) projection of the pattern of rainfall and temperature for the period. For the assessment of the future climate projection over Ponnaiyar River basin, Tamil Nadu, India, the 21st century the Intergovernmental Panel on Climate Change (IPCC) Fourth Assessment. Report (AR4) A1B (CO2 Concentration 720 ppm until 2100) forcing scenario is used with the climate model of the National Centre for Atmospheric Research (NCAR) and the Community Climate System Model (CCSM-3). The obtained results were developed using dynamical downscaling approach to a model grid of 30 second. Baseline of 1961-1990 was used to calculate changes for precipitation, maximum temperature and minimum temperature. The IPCC AR4 climate model datasets of the 20th century experiments, forced by the Special Report on Emissions Scenarios (SRES), as well as those for the climate baseline simulations, are available through the Research Program on Climate Change, Agriculture and Food Security (CCAFS).A regionalized rain/no-rain classification (RNC) based on scattering index methodology is developed for detecting rainfall signature over the land regions of ponnaiyar river basin, using data products from Tropical Rainfall Measuring Mission (TRMM) namely, Microwave Imager (TMI) and Precipitation Radar (PR).
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Last modified: 2017-07-15 23:28:04