The results show that bias correction techniques are able to reduce the biases from the raw ERA5-Land dataset for the study region, with a decreasing trend of the performance of all the bias correction methods with increasing time-frequency of the weather variables.
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A comprehensive comparison of bias correction methods in climate model simulations: Application on ERA5-Land across different temporal resolutions.
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