Direct and indirect application of univariate and multivariate bias corrections on heat-stress indices based on multiple regional-climate-model simulations

<p>Statistical bias correction (BC) is a widely used tool to post-process climate model biases in heat-stress impact studies, which are often based on the indices calculated from multiple dependent variables. This study compares four BC methods (three univariate and one multivariate) with two...

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Bibliographic Details
Main Authors: L. Qiu, E.-S. Im, S.-K. Min, Y.-H. Kim, D.-H. Cha, S.-W. Shin, J.-B. Ahn, E.-C. Chang, Y.-H. Byun
Format: Article
Language:English
Published: Copernicus Publications 2023-04-01
Series:Earth System Dynamics
Online Access:https://esd.copernicus.org/articles/14/507/2023/esd-14-507-2023.pdf