首页> 外文会议>Remote Sensing and Modeling of the Atmosphere, Oceans, and Interactions; Proceedings of SPIE-The International Society for Optical Engineering; vol.6404 >Utilization of a rain-gauge-based daily precipitation dataset over Asia for validation of precipitation derived from TRMM/PR and JRA-25
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Utilization of a rain-gauge-based daily precipitation dataset over Asia for validation of precipitation derived from TRMM/PR and JRA-25

机译:利用亚洲基于雨量计的每日降水数据集来验证源自TRMM / PR和JRA-25的降水

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We upgrade the East Asia rain-gauge-based daily analysis of precipitation (Xie et al., 2006) for 1998 by utilizing daily rain-gauge precipitation data over Southeast and South Asia those are archived in GAME-T data center. This GAME enhanced version shows significant improvements in precipitation amounts in those regions where we input additional data, especially along Himalayas.rnWe compare TRMM/PR monthly product with the GAME Enhanced version for future improvement of the orographic rainfall patterns in our rain gauge analysis. We found that TRMM/PR underestimates wet (summer) season of monsoon rainfall ~100 mm/month.rnThen we validate precipitation derived from JRA-25, the ongoing Japanese 25-year reanalysis project, with the new gauge-based data set for 1998. JRA-25 reproduce precipitation pattern well in time and space, but it tends to overestimate precipitation in most of the Asian monsoon region. The simulated precipitation along Himalayas shifts southward. JRA-25 reproduces the trend of extreme events that leads a flood of the Yangtze River (July 1998), but it overestimates at extreme events. The change of the precipitation amount due to re-gridding (T106 to 2.5degree) is sometimes comparable with the difference between simulation and observation. We need to be careful about the bias caused by the regridding in extreme events.rnAPHRODITE's (Asian Precipitation — Highly Resolved Observational Data Integration Towards Evaluation of the) water resources, a project to develop a long-term rain-gauge-based daily precipitation dataset over Asia n started, and it consolidates the data-model interfaces. We welcome a wide spectrum of collaborations, particularly for collection of rain gauge data.
机译:我们利用在GAME-T数据中心中存储的东南亚和南亚的每日雨量计降水数据,对1998年基于东亚雨量计的每日降水分析(Xie等,2006)进行了升级。这个GAME增强版显示了在我们输入更多数据的那些地区,尤其是喜马拉雅山沿岸地区的降水量的显着改善。rn我们将TRMM / PR月度产品与GAME增强版进行了比较,以便将来在雨量计分析中改进地形降雨模式。我们发现TRMM / PR低估了季风降水的湿季(夏季)〜100 mm /month。rn然后,我们验证了日本正在进行的25年再分析项目JRA-25的降水量,并使用了基于1998年的新的基于标准的数据集JRA-25在时间和空间上能很好地再现降水模式,但它倾向于高估亚洲大多数季风地区的降水。喜马拉雅山脉的模拟降水向南偏移。 JRA-25重现了导致长江水灾的极端事件的趋势(1998年7月),但在极端事件中却高估了。由于重新网格化(T106到2.5度)导致的降水量变化有时可与模拟和观测值之间的差异相媲美。我们需要注意极端事件中的重新网格造成的偏差。rnAPHRODITE(亚洲降水-高度评估的观测数据集成,旨在评估该地区)的水资源,这是一个开发基于雨量计的长期日降水量数据集的项目在亚洲开始,它巩固了数据模型接口。我们欢迎广泛的合作,特别是在雨量计数据收集方面。

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