Using meteorological data from 17 Global Climate Models (GCMs) in the Sixth Coupled Model Intercomparison Project (CMIP6) under different emission scenarios (SSP1-2. 5), the study analyzes spatial distributions and complementary characteristics of wind . . For this reason, we analyze in this article the spatiotemporal variations in wind and solar energy resources in China and the temporal complementarity of wind and solar energy by applying a Spearman correlation coefficient based on the Daily Value Dataset of China Surface Climate Data V3.
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