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Relationship between the Future Projections of Sahel Rainfall and the Simulation Biases of Present South Asian and Western North Pacific Rainfall in Summer

机译:夏季南亚和西北太平洋降雨的未来预测与夏季北北太平洋降雨的关系

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摘要

Confident model projections of regional climate, in particular precipitation, could be very useful for designing climate change adaptation, particularly for vulnerable regions such as the Sahel. However, there is an extremely large uncertainty in the future Sahel rainfall projections made by current climate models. In this study, we find a close relationship between the future Sahel rainfall projections and present rainfall simulation biases in South Asia and the western North Pacific in summer, using the historical simulations and future projections of phase 5 of the Coupled Model Intercomparison Project (CMIP5). This future-present relationship can be used to calibrate Sahel rainfall projections since historical simulation biases can be much more reliably estimated than future change. The accordingly calibrated results show a substantial increase in both precipitation and precipitation minus evaporation in the future Sahel, in comparison with the multimodel ensemble (MME) result. This relationship between the historical rainfall bias and future Sahel rainfall projection is suggested to lie with the different schemes of convective parameterization among models: some schemes tend to result in both overestimated (underestimated) historical rainfall in South Asia (the western North Pacific) and enhanced future Sahel rainfall projection, while other schemes result in the opposite.
机译:区域气候,特别是降水量的自信模型可能对设计气候变化适应来说非常有用,特别是对于萨赫勒等脆弱地区。然而,在当前气候模型制造的未来Sah​​el降雨预测中存在极大的不确定性。在这项研究中,我们在夏季,南亚和西北太平洋的未来萨赫利降雨预测和目前降雨模拟偏差之间的密切关系,利用耦合模型互通项目(CMIP5)的第5阶段的历史模拟和未来预测。这种未来的关系可用于校准萨赫尔降雨预测,因为历史模拟偏差可以比未来的变化更可靠地估计。相应校准的结果表明,与多模型集合(MME)结果相比,未来Sah​​el中的降水和降水量减去蒸发的显着增加。历史降雨偏见和未来Sah​​el降雨预测之间的这种关系被建议与模型之间的不同的对流参数方案介绍:某些方案往往导致南亚(北北太平洋西部)和增强的高估(低估)历史降雨未来萨赫尔降雨投影,而其他方案导致相反的情况。

著录项

  • 来源
    《Journal of Climate》 |2019年第4期|共17页
  • 作者

    Yan Yuhan; Lu Riyu; Li Chaofan;

  • 作者单位

    Chinese Acad Sci State Key Lab Numer Modeling Atmospher Sci &

    Geop Inst Atmospher Phys Beijing Peoples R China;

    Chinese Acad Sci State Key Lab Numer Modeling Atmospher Sci &

    Geop Inst Atmospher Phys Beijing Peoples R China;

    Chinese Acad Sci Inst Atmospher Phys Ctr Monsoon Syst Res Beijing Peoples R China;

  • 收录信息
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类 气候学;
  • 关键词

    Africa; Monsoons; Precipitation; Climate change; Model errors;

    机译:非洲;季风;降水;气候变化;模型错误;
  • 入库时间 2022-08-20 08:56:31

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