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Towards process-informed bias correction of climate change simulations
Nature Climate Change ( IF 30.7 ) Pub Date : 2017-11-02 , DOI: 10.1038/nclimate3418
Douglas Maraun , Theodore G. Shepherd , Martin Widmann , Giuseppe Zappa , Daniel Walton , José M. Gutiérrez , Stefan Hagemann , Ingo Richter , Pedro M. M. Soares , Alex Hall , Linda O. Mearns

Towards process-informed bias correction of climate change simulations

Towards process-informed bias correction of climate change simulations, Published online: 02 November 2017; doi:10.1038/nclimate3418

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Bias correction methods aim to remove introduced bias for climate model simulations; however, improper use can result in spurious climate signals. This Perspective considers the issues of bias correction and makes recommendations for research to overcome model biases.

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中文翻译:

迈向基于过程的气候变化模拟偏差校正

迈向基于过程的气候变化模拟偏差校正

迈向基于过程的气候变化模拟偏差校正,在线发布:2017年11月2日;doi:10.1038 / nclimate3418

NatureArticleSnippet(type = short-summary,markup =

偏差校正方法旨在消除气候模型模拟引入的偏差;但是,使用不当会导致虚假的气候信号。本“观点”考虑了偏差校正的问题,并提出了克服模型偏差的研究建议。

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更新日期:2017-11-02
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