首页> 外文会议>SPIE Conference on Microwave Remote Sensing of the Atmosphere and Environment >Comparisons of real time microwave rainfall products from TRMM/TMI, DMSP/SSM/I, and NOAA/AMSU
【24h】

Comparisons of real time microwave rainfall products from TRMM/TMI, DMSP/SSM/I, and NOAA/AMSU

机译:来自TRMM / TMI,DMSP / SSM / I,NOAA / AMSU的实时微波降雨产品的比较

获取原文

摘要

The real time rain estimates from the TRMM/TMI and the SSM/I Goddard Profiling Alforithm (GPROF), along with the Climate Prediction Center real time IR rain estimates, have been merged to a preparatory version of the TRMM global 3-hourly rain product. This paper discusses the issue of merging NOAA/AMSU rain estimates as an addition into this preparatory product and provides comparisons of rainfall among TMI, SSM/I GPROF and AMSU products. The orbit data of the three microwave sensors were aggregated to 3-hourly gridded rain products with horizontal resolution of 0.25°. The histogram data based on the coincident rainfall among TMI, SSM/I and AMSU estimates from the 3-hourly data series showed about +50% bias of AMSU rain as compared to the SSM/I-TMI rain over tropical ocean. However, over land, the AMSU data showed about -20% bias as compared to the SSM/I-TMI products. The correlation between TMI and AMSU oceanic data is about 0.5. In order to justify the results from microwave rainfall estimates, the TMI rain estimate were compared with ground validation data for a 4-year period. The results indicate a lower (-15%) TMI rain amount over ocean and a higher (+25%) TMI estimate over land as compared to the ground observation.
机译:TRMM / TMI和SSM / I Goddard分析Alforithm(GPROF)的实时雨估计与气候预测中心实时IR雨估计,已合并到TRMM全球3小时雨量的筹备版本。本文讨论了将NOAA / AMSU Rain估计的问题融为本预备产品的加入,并在TMI,SSM / I GPROF和AMSU产品中提供降雨的比较。三个微波传感器的轨道数据汇总到3小时包装的雨水产品,水平分辨率为0.25°。 3小时数据系列的TMI,SSM / I和AMSU估计的基于TMI,SSM / I和AMSU估计的直方图数据显示,与热带海洋的SSM / I-TMI雨相比,AMSU雨的偏差约为+ 50%。然而,与陆地,与SSM / I-TMI产品相比,AMSU数据显示约-20%的偏差。 TMI和AMSU海洋数据之间的相关性约为0.5。为了证明微波降雨估计的结果,将TMI雨估计与一个4年期间的地面验证数据进行比较。结果表明,与地面观察相比,海洋的较低(-15%)TMI雨量和较高(+ 25%)TMI估计。

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