首页> 外文期刊>Journal of Geophysical Research, D. Atmospheres: JGR >Regional climate model applications on sub-regional scales over the Indian monsoon region: The role of domain size on downscaling uncertainty
【24h】

Regional climate model applications on sub-regional scales over the Indian monsoon region: The role of domain size on downscaling uncertainty

机译:印度季风区域在次区域尺度上的区域气候模型应用:区域规模对尺度缩小不确定性的作用

获取原文
获取原文并翻译 | 示例
       

摘要

Regional climate models are becoming increasingly popular to provide high resolution climate change information for impacts assessments to inform adaptation options. Many countries and provinces requiring these assessments are as small as 200,000 km2 in size, significantly smaller than an ideal domain needed for successful applications of one-way nested regional climate models. Therefore assessments on sub-regional scales (e.g., river basins) are generally carried out using climate change simulations performed for relatively larger regions. Here we show that the seasonal mean hydrological cycle and the day-to-day precipitation variations of a sub-region within the model domain are sensitive to the domain size, even though the large scale circulation features over the region are largely insensitive. On seasonal timescales, the relatively smaller domains intensify the hydrological cycle by increasing the net transport of moisture into the study region and thereby enhancing the precipitation and local recycling of moisture. On daily timescales, the simulations run over smaller domains produce higher number of moderate precipitation days in the sub-region relative to the corresponding larger domain simulations. An assessment of daily variations of water vapor and the vertical velocity within the sub-region indicates that the smaller domains may favor more frequent moderate uplifting and subsequent precipitation in the region. The results remained largely insensitive to the horizontal resolution of the model, indicating the robustness of the domain size influence on the regional model solutions. These domain size dependent precipitation characteristics have the potential to add one more level of uncertainty to the downscaled projections.
机译:区域气候模型越来越受欢迎,可以为影响评估提供高分辨率的气候变化信息,从而为适应方案提供依据。许多需要进行这些评估的国家和省份的面积小至200,000 km2,远远小于成功应用单向嵌套区域气候模型所需的理想范围。因此,通常使用对相对较大的区域进行的气候变化模拟来对次区域规模(例如,流域)进行评估。在这里,我们显示了模型域内子区域的季节性平均水文循环和每日降水变化对域大小敏感,即使该区域的大规模环流特征在很大程度上不敏感。在季节尺度上,相对较小的域通过增加水分向研究区域的净输送来加强水文循环,从而增强了降水和局部水分的循环利用。在日常时间尺度上,与相应的较大域模拟相比,在较小域中进行的模拟在子区域中产生的中降水日数更高。对该分区内水蒸气和垂直速度的日变化的评估表明,较小的区域可能有利于该区域更频繁的中等隆升和随后的降水。结果对模型的水平分辨率仍然不敏感,这表明域大小对区域模型解决方案的影响很强。这些与域大小有关的降水特征可能会给下调后的投影增加一层不确定性。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号