Intercomparison of multi-model ensemble-processing strategies for climate projection in China

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A new study led by Prof. Zhihong Jiang at Nanjing University of Information Science and Technology and Prof. Laurent Li at Laboratoire de Météorologie Dynamique, CNRS has been published in Science China Earth Sciences.

One star indicates signal-to-noise ratio larger than 1, two stars larger than 2, and three stars larger than 3. Credit: Science China Press

The team found that more elaborated ensemble-processing strategies outperform the simple method of multi-model ensemble mean, and provide reasonably consistent median temperature and precipitation projections, with reduction of uncertainty and augmentation of robustness . ClimWIP turned out to be the optimal method with good performance in simulating current climate metrics.

 

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