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This study evaluates six bias correction methods for high-resolution temperature simulations from the MRI-AGCM3–2-S model over the Netravati basin in India, highlighting the necessity of bias correction for accurate climate impact studies. The results indicate that all methods, except linear scaling, significantly reduce biases, with the Quantile Delta Mapping method preserving trends in future temperature projections. An increasing trend in annual temperatures is projected, with expected increases of 0.051

Author

ismail.bouizrou10

Language

EN