Climate change impact under CanESM2 on future rainfall in the state of Kelantan using Artificial Neural Network
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چکیده
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To Investigate Of Change in Waves Height under the influence of climate change using Artificial neural network and wavelet
Prediction of the waves’ specifications that is one of the key factors effective on transformation ofcoasts, production of renewable energies and design of marine structures, has always been importante.Height of the waves is one of the most important and effective parameters of the wave. Differentfactors are effective in variation of the waves’ height. In this research, variation in waves heigh...
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15 صفحه اولPrediction of Rainfall under HadCM3 and CanESM2 Climate Change Models using Statistical Downscaling Model (Case Study: Tabriz Synoptic Station)
Global climate change as a main factor affecting all ecological components, has been attended by researchers all over the world in the recent years. In this regard for simulating the rainfall, National Centers for Environmental Prediction (NCEP) data, HadCM3 data under A2 and B2 scenarios, CanESM2 data under RCP2.6, RCP4.5 and RCP8.5 scenarios were utilized. This research was performed by adopt...
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ژورنال
عنوان ژورنال: IOP Conference Series: Earth and Environmental Science
سال: 2021
ISSN: 1755-1307,1755-1315
DOI: 10.1088/1755-1315/646/1/012033