首页> 外文会议>Conference on Remote Sensing and Modeling of the Atmosphere, Oceans, and Interactions >Utilization of a rain-gauge-based daily precipitation dataset over Asia for validation of precipitation derived from TRMM/PR and JRA-25
【24h】

Utilization of a rain-gauge-based daily precipitation dataset over Asia for validation of precipitation derived from TRMM/PR and JRA-25

机译:利用基于雨量的日降水数据集,用于验证源自TRMM / PR和JRA-25的降水

获取原文

摘要

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. We 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. Then 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. APHRODITE'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:我们利用在东南亚和南亚的日常雨计降水数据在GAME-T数据中心存档的1998年升级降水东亚雨计为基础的每日分析(Xie等,2006)。此游戏增强版本显示在我们输入其他数据的区域中降水量的显着改进,尤其是沿着喜马拉雅州。我们将TRMM / PR每月产品与游戏增强版进行比较,以便将来改善我们的雨量计分析中的地形降雨模式。我们发现,TRMM / PR至100毫米/月低估季风降水的湿(夏季)的季节。然后,我们验证降水JRA-25派生,正在进行日本25年再分析项目,以及用于在时间和空间1998年JRA-25再现沉淀模式的新的基于计数据集,但它往往高估降水最亚洲季风区。沿着喜马拉雅的模拟降水向南转移。 JRA-25再现了引领长江(1998年7月)洪水的极端事件的趋势,但它在极端事件中高估。由于重新网格(T106至2.5degree)引起的降水量的变化有时与模拟和观察之间的差异相当。我们需要注意极端事件中的遗传引起的偏差。阿佛洛狄忒的(亚洲 - 高度降水观测解决数据集成迎的评价)水资源,一个项目,开发一个长期的基础雨计逐日降水数据集在亚洲ñ启动,并且巩固了数据模型的接口。我们欢迎广泛的合作,特别是收集雨量计数据。

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