...
  • 主题
高级搜索  >
历史搜索 清空历史
首页> 外文期刊>Journal of Geophysical Research, D. Atmospheres: JGR >Impact of GPS zenith delay assimilation on convective-scale prediction of Mediterranean heavy rainfall
【24h】

Impact of GPS zenith delay assimilation on convective-scale prediction of Mediterranean heavy rainfall

机译：GPS天顶延迟同化对地中海强降雨对流规模预报的影响

获取原文
获取原文并翻译 | 示例
           
页面导航
  • 摘要
  • 著录项
  • 相似文献
  • 相关主题

摘要

The numerical weather prediction forecast skill of heavy precipitation events in the Mediterranean regions is currently limited, partly because of the paucity of water vapor observations assimilated today. An attempt to fill this observational gap is provided by Global Positioning System (GPS) ground station data over Europe that are now routinely processed into observations of Zenith Total Delay (ZTD), which is closely related to the tropospheric water vapor content. We evaluate here the impact of assimilating the GPS ZTD on the high-resolution (2.4-km) nonhydrostatic prediction of rainfall for the heavy precipitation event of 5–9 September 2005 over Southern France. First, we assimilate the GPS ZTD observations in the three-dimensional variational (3DVAR) data assimilation system of the 9.5-km horizontal resolution ALADIN/France hydrostatic model with parameterized convection. This one-month-long assimilation experiment includes the heavy rainfall period. Prior to the assimilation, a GPS ZTD observation preprocessing is carried out for quality control and bias correction. We find that the GPS ZTD observations impact mainly the representation of the humidity in the low to middle troposphere. We then conduct forecast trials with the Meso-NH model, which explicitly resolves the deep convection, using the analyses of the 3DVAR ALADIN/France assimilation experiments as initial and boundary conditions. Our results indicate a benefit of GPS ZTD data assimilation for improving the Meso-NH precipitation forecasts of the heavy rainfall event.
机译：目前，地中海地区强降水事件的数值天气预报预报技术受到限制，部分原因是由于今天吸收的水汽观测很少。欧洲的全球定位系统（GPS）地面站数据试图填补这一观测空白，现在已将这些数据常规处理为与对流层水汽含量密切相关的天顶总延迟（ZTD）观测。在这里，我们评估了GPS ZTD对2005年9月5日至9日法国南部大降水事件的高分辨率（2.4公里）非静水降水预测的影响。首先，我们在参数对流的9.5公里水平分辨率ALADIN / France静水模型的三维变分（3DVAR）数据同化系统中对GPS ZTD观测进行同化。这个为期一个月的同化实验包括暴雨期。在进行同化之前，对GPS ZTD观测进行了预处理，以进行质量控制和偏差校正。我们发现，GPS ZTD观测结果主要影响中低层对流层湿度的表示。然后，我们使用Meso-NH模型进行预报试验，该模型使用3DVAR ALADIN / France同化实验的分析作为初始条件和边界条件，明确解决了深对流问题。我们的结果表明，GPS ZTD数据同化对于改善强降雨事件的Meso-NH降水预报有好处。

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