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   降水估计 的翻译结果: 查询用时:1.764秒
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降水估计     
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  rainfall estimation
     The results reveal that their errors is31.8% and 41.0% for daily area rainfall estimation, and their correlation coefficients are 0.97 and 0.94.
     在日面降水估计试验中,地面雨量计值和卫星估计降水之间的相关系数分别为0.94和0.97,相对误差分别为41%和32%。
短句来源
     Rainfall Estimation from Meteorological Satellite and Radar Data Using Multiresolution Wavelet Transform and Neural Networks Methods
     气象卫星云图的多分辨小波分解及人工神经网络降水估计研究
短句来源
     A Rainfall Estimation Method of Satellite images Based on The Cloud Classification And The Precipitation Experiential Knowledge
     基于云分类和降水先验知识的卫星云图降水估计
  precipitation estimation
     A PRELIMINARY STUDY ON METHOD OF QUANTITATIVE PRECIPITATION ESTIMATION(QPE) FOR LANDFALL TYPHOON
     一种可用于登陆台风定量降水估计(QPE)方法的初步建立
短句来源
     By using GMS-5 IR1 TBB of landfalling typhoon(LT) and hourly rainfall from ground automatic weather stations,a preliminary method of quantitative precipitation estimation(QPE) suitable for LT was found. Based on the results from the QPE method,the short-term quantitative precipitation forecast of 0 h to 3 h(QPF) for LT can be realized with the extrapolation method preliminarily.
     利用登陆台风的GMS-5 IR1 TBB资料及地面自动站逐时雨量资料,初步建立了适用于登陆台风的定量降水估计(QPE)方法,基于QPE结果,采用外推法,初步实现了对登陆台风未来0~3 h的短时定量降水预报(QPF)。
短句来源
     Precipitation Estimation from Remotely Sensed Information Using Nueral Networks
     卫星面降水估计人工神经网络方法
短句来源
     Then the estimation of precipitation is further modified by ground weather radar and Kalman filter. The result on test subcatchment in Shihuaihe river basin shows that the error of satellite precipitation estimation decreases from 31% down to 13% after the radar adjustment.
     在史灌河子流域的比较试验表明:卫星雷达联合重构的降水场具有比卫星估计降水更高的精度,3h降水估计的相对误差从31%下降到13%,和地面降水场的相关系数也有明显提高。
短句来源
     The main application of satellite data to study tropical cyclone associated with landfall precipitation is reviewed substantially and systematically,and the advantages and shortcomings of precipitation estimation and forecast techniques are pointed out along with a prospective study in this field at last.
     本文全面、系统地归纳总结了国内外利用卫星资料对登陆热带气旋降水的研究工作,指出利用卫星资料对登陆热带气旋降水估计及预报研究所存在的不足,并对未来研究进行了展望。
短句来源
  rain estimation
     The Error Source of Rain Estimation For Lanzhou New Generation Weather Radar
     兰州新一代天气雷达降水估计的误差来源
短句来源
     This paper described the principle of rain estimation by radar. Based on the rain principle of radar estimation and the aspects of outside physical conditions, the error source of rain estimation in Lanzhou and the nearby areas is also analyzed.
     文中介绍了雷达估计降水原理,并从雷达估计降水原理和外界物理条件方面分析兰州新一代天气雷达对兰州及周边地区降水估计的误差来源。
短句来源
  rainfall estimate
     Based on the study above, the rainfall estimate equations between six-hour rainfall and GMS-5 data are obtained by using double-judging & double-MOS regression method, which can be used to estimate six-hour rainfall.
     从而 ,应用双判据双重MOS多元回归法建立四通道云图因子、衍生因子与降水量之间的回归方程 ,进行 6小时分级降水估计
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  rainfall estimation
Convective and stratiform cloud rainfall estimation from geostationary satellite data
      
Application of a cloud-texture analysis scheme to the cloud cluster structure recognition and rainfall estimation in a mesoscale
      
It is thought that satellite infrared (IR) images can aid the recognition of the structure of the cloud and aid the rainfall estimation.
      
Spatial rainfall estimation by linear and non-linear co-kriging of radar-rainfall and raingage data
      
Rainfall estimation using raingages and radar - A Bayesian approach: 1.
      
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  precipitation estimation
Due to the scarcity of sufficient spatial ground-based rainfall data in hill areas, quantitative precipitation estimation using remote-sensing techniques such as radar and satellite is needed for debris flow pre-warning.
      
Automatic calibration and verification of radar accuracy for precipitation estimation.
      
In general, the scattering of the observational products may represent the uncertainty in global precipitation estimation.
      
Over the past three decades there have been numerous attempts to use satellite measurements for precipitation estimation.
      
Precipitation estimation from remotely sensed information using artificial neural networks.
      
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  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.
      
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  precipitation estimate
The methods use radar precipitation (the radar-derived precipitation estimate based on column maximum reflectivity) and data from 81 on-line rain gauges routinely provided by the Czech Hydrometeorological Institute.
      
Averaged seasonal characteristics of vertical profiles in Slovenia are used as the climatological basis for the construction of an idealised profile for correcting the precipitation estimate.
      
In addition, each input parameter may be individually analyzed for its impact on the precipitation estimate.
      
This global precipitation estimate by ordinary thunderstorms is listed in Table 1.
      
The larger underbias reflects the radar's underbias in its precipitation estimate despite the recalibration of the BAR model.
      
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