首页> 外文会议>Hydrology and Watershed Management with a Focal Theme on Water Quality and Conservation for Sustainable Development >Retrieval of Atmospheric Moisture Profiles over Indian Region with Two Different Approaches Using AMSU Data From NOAA-16 Satellite
【24h】

Retrieval of Atmospheric Moisture Profiles over Indian Region with Two Different Approaches Using AMSU Data From NOAA-16 Satellite

机译:利用NOAA-16卫星AMSU数据两种不同方法反演印度地区大气水分廓线。

获取原文

摘要

The moisture information retrieved from the satellites, specially from the passive microwave data obtained from orbiting satellites have been recently used for a few studies over the Indian region. With the establishment of a new High Resolution Picture Transmission (HRPT) reception system at IMD, New Delhi , the real time data from microwave sounding instruments onboard the NOAA-K,L,M and N series of satellites has also become available. The raw HRPT data is being interfaced with the recently acquired new 'Atovs and Avhrr Preprocessing Package(AAPP)' levelld files to perform moisture retrievals from AMSU data of NOAA-16 satellite using two separate schemes ICI (inversion coupled imager) and Neural Network approach. In this study , NOAA-16 satellite data over Indian region were used for reconstructing temperature and moisture profiles for two different seasons(January and April,2002). The moisture retrieval results are evaluated by computing the bias and root mean square (RMS) difference between moisture retrievals and colocated ECMWF analysis. The results based on the analysis of data sets for the month of January and April ,2002 show that ICI approach yields better results for all atmospheric levels. The root mean square error of relative humidity is found to be less than 20% at all pressure levels except for upper atmospheric level of about 400 hPa where it is more than 20%. Further work is in progress to extend this analysis to different seasons over Indian region and the detailed results will be presented during the seminar.
机译:从卫星,特别是从在轨卫星获得的无源微波数据中获取的水分信息,最近已用于印度地区的一些研究。随着新德里IMD建立了新的高分辨率图片传输(HRPT)接收系统,NOAA-K,L,M和N系列卫星上的微波测深仪的实时数据也已可用。原始HRPT数据正在与最近获得的新的“ Atovs和Avhrr预处理软件包(AAPP)” levelld文件连接,以使用两种独立的方案ICI(反向耦合成像仪)和神经网络方法从NOAA-16卫星的AMSU数据中进行水分检索。 。在这项研究中,印度地区的NOAA-16卫星数据被用于重建两个不同季节(2002年1月和2002年4月)的温度和湿度剖面。通过计算水分回收和共置ECMWF分析之间的偏差和均方根(RMS)差异来评估水分回收结果。根据2002年1月和4月数据集的分析结果,表明ICI方法在所有大气水平下均能产生更好的结果。发现在所有压力水平下,相对湿度的均方根误差均小于20%,除了大约400 hPa的较高大气水平(其大于20%)。正在进行进一步的工作以将该分析扩展到印度地区的不同季节,详细结果将在研讨会期间介绍。

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