助手标题
全文文献 工具书 数字 学术定义 翻译助手 学术趋势 更多
查询帮助
意见反馈
共[1]页 共[12]条 当前为第1条到12条
 

相关语句
rain estimation
?This study compares and contrasts six infrared-based satellite rain estimation techniques and their validation during a 2-month period from June 20-August 20, 1998 over the Korean peninsula.
      
In this paper rain estimation capability of MSMR is explored.
      
We present the physical basis and mathematical formulation of a newly developed combined radar-radiometer (PR/TMI) retrieval for TRMM and its application for overland rain estimation.
      
Subsequently we discuss the current state-of-the-art in overland passive microwave (TMI and SSM/I) rain estimation techniques, and outstanding issues associated with the inverse problem.
      
In addition, the experimental data is to be analyzed to test the accuracy of rain estimation algorithms.
      
In this section, we investigate errors in rain estimation due to the variability of DSDs.
      
In other words, there is not much to gain in polarimetric rain estimation unless we have a precise knowledge of the drop deformation.
      
Mean DJF oceanic rainfall for the 10-yr period from 1987 to 1996 from available long-term satellite-based rain estimation techniques.
      
Rain Estimation Techniques from Satellites Rainfall information is a key element in studying the hydrologic cycle.
      
This was dictated by the need to reduce statistical measurement errors and isolate them from the rain estimation errors due to other physical factors.
      
These data are processed to a maximum range of 150 km, which is a typical maximum distance from the radar for quantitative rain estimation.
      
The rain estimation technique should automatically detect brightband and mixed phase conditions for computing an unbiased rain rate.
      
 

首页上一页1下一页尾页 

 
CNKI主页设CNKI翻译助手为主页 | 收藏CNKI翻译助手 | 广告服务 | 英文学术搜索
版权图标  2008 CNKI-中国知网
京ICP证040431号 互联网出版许可证 新出网证(京)字008号
北京市公安局海淀分局 备案号:110 1081725
版权图标 2008中国知网(cnki) 中国学术期刊(光盘版)电子杂志社