The key results of this study include: (1) national average CM and CIV will increase in the future, and that increase will be greater in Representative Concentration Pathway 8.5 and end periods (2) the nature of future changes in CM and CIV differ according to the indices of interest. The extremely high value of the coefficient of determination between CIV values and noise indicates that the methodologies are seamless. CIV is then estimated from the detrended method and compared with the noise computed by the two approaches. A stochastic weather generator is employed to generate 100 ensembles of 30-year hourly time series for 40 meteorological stations. This study aims to estimate CIV and climatological mean (CM) in predictions using different emission scenarios for South Korea. Climate internal variability (CIV) plays an important role in understanding climate and is one of the principal uncertainties in climate projections.
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