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预报方程的英文

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"预报方程"怎么读用"预报方程"造句

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  • prognostic equation

例句与用法

  • Contrast experiment shows that multi - time factors can improve the quality of prediction equations and make effective rate reach 90 . 0 percents and reduce sum of residual squares 23 . 8 percents meanly
    对比试验表明,多时刻因子可改善大多数预报方程的质量,有效率达90 . 0 % ;多时刻因子使预报误差明显减小,预报方程的残差平方和平均减少23 . 8 % 。
  • A diagnostic equation for n0s , the y - intercept of the assumed exponential snow distribution , is allowed to vary with snow mixing ratio . the scheme assumes a marshall - palmer distribution law for rain , snow and graupel with a constant intercept parameter n0
    该方案将雪的m ? p分布谱参数截距n _ ( os )表达为雪的比含水量的函数,建立了n _ ( os )的诊断预报方程
  • Based on the dynamic frame of mm5 and reisner 2 explicit cloud scheme , a new double - moment microphysical scheme was developed , in which both the mixing ratios and number concentrations of cloud water , rain water , cloud ice , snow and graupel were predicted
    从本质上说,该方案预报的仅仅是粒子的比含水量。在mm5动力框架内,在其中的reisner2方案基础上采用双变参数方案,增加了云水、雨水、雪和霰的数浓度预报方程
  • By use of correlation analyzing of temperature in heilongjiang province and previous general circulation or surface temperature , provision predictors are chosen to develop a predictive relationship of temperature anomaly in january or july of heilongjiang province with the theory of screening regression
    通过对黑龙江气温与前期环流场和下垫面温度的相关分析,选取候选因子,用逐步回归的原理进一步筛选,建立黑龙江1月、 7月月平均温度距平的预报方程
  • This study uses quantitative remote sensing method on soil losses which based on 3s technique and supported by gis software to probe into the application of quantitative remote sensing method on soil losses . and according as the equations of soil losses ( a = fkrslcp ) & predicting soil conservation intensity ( y = cp - cp " ) to realize the 3s technique integration on gis platform in study area of longchuan river drainage basin
    本研究采用基于3s技术的水土流失定量遥感方法,以gis软件为平台,以龙川江流域为试验区,依据水土流失方程( a = fkrslcp )和防治强度预报方程( y = cp - cp ' ) ,进行了在以3s技术为支撑的水土流失定量遥感方法的应用探索,实现了在gis平台上3s的集成。
  • A complex mixed - phase explicit microphysical parameterization scheme , which also be known as reisner 2 explicit scheme was developed for use in the ncar / penn state mesoscale model versions ( mm5 ) . the single - moment schemes has additional variables for graupel and ice number concentration , in which the mixing ratio of cloud water , rain water , cloud ice , snow and graupel are predicted and number concentration specified
    Mm5中的reisner2方案是一种含霰的复杂混合相显式云物理方案,该方案包含了云水、雨水、冰晶、雪和霰的混合比预报方程,同时对冰晶的数浓度作了预报。
  • The approaches establish a relationship between monthly precipitation abnormality and monthly circulation , soil moisture and temperature on the shallow and deep layers . the relationship is the precipitation diagnostic equation and its coefficients and dimensions are determined by using the observed data of huai river basin . then we select the main soil moisture and temperature attributing factors by the dimensional analysis to establish a forecasting equation of summer precipitation over huai river basin with the statistic approach
    通过将大气中的热量、水汽收支方程与一个简化的两层土壤温度、湿度方程相结合,并依据月尺度大气环流的演变特征,推导出月降水距平与500hp月平均高度距平场、土壤深浅两层温、湿度的关系;利用台站观测资料,使用统计反演方法确定方程中各项的系数和量级,从而找出影响降水的主要土壤温、湿因子;利用统计方法建立这些因子与淮河流域夏季降水异常之间的简单线性预报方程,并对1992 - 2000年淮河流域夏季降水趋势进行回报。
  • The flood and drought in both first stage and second stage of rainy season in fujian province were forecasted by the ways of line regression prediction equation and three kinds of artificial neural network models , the results show : the backpropagation ( bp ) , radial basis function ( rbf ) and elman neural network models are much better than line regression prediction equation in historical sample fittings , independent sample test , actual prediction ability
    ( 3 )运用线性回归预报方程和三种人工神经网络模型对福建汛期旱涝进行预测的实验表明: bp 、径向基( rbf )和elman这三种人工神经网络模型在历史样本拟合精度上、独立样本检验结果和网络模型的实际预测能力上都明显优于传统的线性回归方法。
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