首页> 外文会议>Conference on microwave remote sensing of the atmosphere and environment >Comparison of TRMM/PR rain rate with ground based observation
【24h】

Comparison of TRMM/PR rain rate with ground based observation

机译:基于地面观测的TRMM / PR降雨率的比较

获取原文

摘要

The precipitation Radar (PR) on the Tropical Rainfall Measuring Mission (TRMM) satellite continues observation. Many ground validation efforts have been made to confirm the accuracy of rain rates estimated by standard PR algorithms from observed radar reflectivity. However, so far there have been no conclusive results giving the absolute difference of PR estimated rain rates from the true rain rates from ground validation efforts. The difficulty of ground validation of rain is due to the large variance of spatial and temporal distributions of rain. However, there is a dense rain gauge and radar observation network operated by Japan Meteorological Agency (JMA) that covers Japan. In this paper, TRMM estimated rain rates are compared to Radar-AMeDAS rain analysis data on a monthly averaged basis, and retrieval errors were estimated by assuming that Radar-AMeDAS is truth data. The estimated averaged retrieval error for five 5 degree by 5 degree areas for 12 months was 25%, and PR and Radar-AMeDAS rain amounts were almost the same for a year. However, the estimate exhibits seasonal dependency. Specifically, PR overestimates rain rates in winter and under estimates them in summer. Sampling errors included in TRMM monthly products were also estimated. The estimated sampling error was 15%. This magnitude of sampling error seems quite reasonable considering the results before TRMM was launched.
机译:热带降雨测量任务(TRMM)卫星的降水雷达(PR)继续观察。已经进行了许多地面验证努力,以确认由观察到的雷达反射率的标准PR算法估计的雨率准确性。然而,到目前为止,已经没有确定性的结果,从地面验证工作中的真正雨率估计雨率估计的雨率绝对差异。地面验证的难度是由于雨水的空间和时间分布的差异。然而,有一个覆盖日本气象学局(JMA)的密集的雨量计和雷达观察网络,涵盖日本。在本文中,将TRMM估计的雨率与每月平均基础的雷达-Amedas雨量分析数据进行比较,并且通过假设雷达-Amedas是真理数据,估计检索错误。 5度5度的估计平均检索误差为5度,5度区域为25%,并且PR和雷达 - Amedas雨量几乎相同。但是,估计呈现季节性依赖。具体而言,PR在冬季举行雨率,并在夏季估计它们。还估计了TRMM每月产品中包含的采样误差。估计的采样误差为15%。考虑到TRMM推出之前的结果,这种抽样错误的幅度似乎非常合理。

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