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Multiscale precipitation variability and extremes over South America: analysis of future changes from a set of CORDEX regional climate model simulations

机译:南美洲的多尺度降水变形和极端:分析了一套Cindex区域气候模型模拟的未来变化

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摘要

The precipitation behaviour at different timescales (interannual, intraseasonal and synoptic) and extreme events in a warmer scenario over South America is analysed. This study is based on a set of Regional Climate Models (RCM) from the CORDEX database and their driving Global Climate Models (GCM) from the CMIP5 Project. Historical simulations for 1979-2005 and from the RCP4.5 scenario for 2071-2100 are used. The projected changes in the precipitation behaviour are evaluated in terms of the consistency between the pairs RCM-GCM aiming to explore the added value of RCMs. The agreement between projected changes from RCMs is also evaluated as a measure of confidence of the regional climate change signal. The analysis is carried out for two extended seasons (April to September and October to March). The projected change in the mean precipitation over subtropical latitudes is associated with both changes in the frequency of rainy days and in the intensity of extreme events, while for the tropics the changes are mainly associated with changes in the wet day frequency. The increase of extreme precipitation events over the subtropics arises as a robust signal among models, while for tropical latitudes the dispersion among models is high, which reduces the confidence of the projections. In general, the consistency of the projections in the pairs RCM-GCM and the agreement among models are higher for the low frequency variability patterns during winter, while for summertime a better agreement in the projected changes of the precipitation behaviour at different timescales among RCMs is found.
机译:分析了不同时间尺度的降水行为(跨部署,季节性和舞蹈)和南美洲温暖情景中的极端事件。本研究基于来自Cindex数据库的一组区域气候模型(RCM)及其从CMIP5项目驾驶全球气候模型(GCM)。使用了1979-2005和RCP4.5场景的历史模拟,适用于2071-2100。降水行为的预计变化是根据对RCM-GCM的一致性评估,旨在探索RCM的附加值。从RCMS预计变更之间的协议也被评估为区域气候变化信号的信心衡量标准。分析为两个延长的季节(四月至9月至10月至3月)进行。亚热带纬度的平均降水中的预计变化与雨天频率和极端事件强度的变化相关,而对于热带地区,变化主要与潮湿日频率的变化相关。在亚波质上的极端降水事件的增加出现为模型之间的强大信号,而对于热带纬度地区,模型之间的色散高,这降低了投影的置信度。通常,对RCM-GCM的预测和模型之间的协议对于冬季的低频变化模式的一致性较高,而夏季则在RCMS中不同时间尺度的降水行为的预计变化中更好地协议成立。

著录项

  • 来源
    《Climate dynamics》 |2020年第8期|2089-2106|共18页
  • 作者单位

    Univ Nacl la Plata Inst Franco Argentino Clima & Sus Impactos UMI IF Fac Ciencias Astron & Geofis FCAG UNLP Ctr Invest Mar & Atmosfera CIMA CONICET Ciudad Univ Pabellon 2 Piso 2 C1428EGA Buenos Aires DF Argentina;

    Univ Nacl la Plata Inst Franco Argentino Clima & Sus Impactos UMI IF Fac Ciencias Astron & Geofis FCAG UNLP Ctr Invest Mar & Atmosfera CIMA CONICET Ciudad Univ Pabellon 2 Piso 2 C1428EGA Buenos Aires DF Argentina|Inst Franco Argentino Clima & Sus Impactos UMI IF Ctr Invest Mar & Atmosfera CIMA CONICET FCEN UBA Dept Ciencias Atmosfera & Oceanos FCEN UBA Buenos Aires DF Argentina;

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

    Regional climate modeling; South America; Precipitation; Future climate;

    机译:区域气候建模;南美;降水;未来的气候;

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