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首页> 外文期刊>ournal of the Meteorological Society of Japan >Climatological Reproducibility Evaluation and Future Climate Projection of Extreme Precipitation Events in the Baiu Season Using a High-Resolution Non-Hydrostatic RCM in Comparison with an AGCM
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Climatological Reproducibility Evaluation and Future Climate Projection of Extreme Precipitation Events in the Baiu Season Using a High-Resolution Non-Hydrostatic RCM in Comparison with an AGCM

机译:使用高分辨率非静水RCM与AGCM对比,Baiu季节极端降水事件的气候学可再现性评估和未来气候预测

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This paper studies an evaluation of climatological reproducibility and one of future climate projections of extreme precipitation in the Baiu season (from mid-May to July) around Japan using data of numerical experiments. The models are a non-hydrostatic cloud-system-resolving atmospheric model with a horizontal grid size of 5 km (5km-NHM) utilized as a regional climate model (RCM), and an atmospheric general circulation model (AGCM) with a horizontal resolution of about 20 km (20km-AGCM) which provided the boundary condition of 5km-NHM. Ten-year runs were performed by the time-slice method. The mean precipitation amount of the three heaviest precipitation events that ranked in order of precipitation amount in every year (PTop3) at each grid point was used as an index to examine quantitatively extreme precipitation within a specific term with various precipitation accumulation periods (APs).The 5km-NHM experiment reproduced PTop3 much better than that of 20km-AGCM, especially for shorter APs. In the projection of PTop3 in the future climate with 5km-NHM, ratio in two climate states of PTop3 for longer APs and that of precipitation amount show the roughly same pattern. The increase areas of those were localized around Kyushu, Japan. In particular, the PTop3 for longer APs was projected to increase 30.70% in the mountainous areas along the Pacific coast of western Japan. This increase was due to a cyclonic circulation of an incremental low-pressure generated on the western side of Kyushu. On the other hand, large increases of PTop3 for shorter APs spread widely with a scattered pattern to the area where precipitation decreases. This characteristic was associated with the intensification of precipitation due to global warming.
机译:本文利用数值实验的数据,对日本周围Baiu季节(5月中旬至7月)的气候再现性评估和极端降水的未来气候预测之一进行了研究。这些模型是一个非静水云系统解析大气模型,其水平网格大小为5 km(5km-NHM)被用作区域气候模型(RCM),而大气总环流模型(AGCM)具有水平分辨率大约20 km(20km-AGCM),提供了5km-NHM的边界条件。通过时间切片方法进行了十年的运行。在每个网格点上,按每年的降水量顺序(PTop3)排列的三个最重的降水事件的平均降水量被用作指标,以定量检查特定期限内具有各种降水累积周期(APs)的极端降水。 5km-NHM实验比20km-AGCM再现PTop3更好,特别是对于较短的AP。在5 km-NHM的未来气候中,PTop3的预测中,较长AP的PTop3两种气候状态下的比率与降水量的比率呈现出大致相同的模式。那些增加的地区被本地化在日本九州附近。特别是,在日本西部太平洋沿岸的山区,用于较长AP的PTop3预计将增加30.70%。这种增加是由于九州西侧产生的低压增加的旋风循环造成的。另一方面,对于较短的AP,PTop3的大量增加以分散的模式广泛散布到降水减少的区域。由于全球变暖,这一特征与降水加剧有关。

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