1) consensus forecast
集成预报
1.
Based on temperature forecast of operational middle-range model of China,operational model of German meteorological administration,operational model of Japan meteorological agency and temperature observations of China,a temperature consensus forecast system is developed through method of artificial neural network.
基于中国国家气象中心T213模式、德国气象局业务模式和日本气象厅业务模式2 m高温度预报,利用神经网络方法中的BP网络建立了我国600多个站的温度集成预报系统,该预报系统的预报时效为72 h,间隔为3 h。
2.
The outputs of four models(Euler numerical model,neural network model,dynamic statistical model,consensus forecast model) for forecasting precipitation pH from May to September 2005 are analyzed and their effectiveness is compared.
将4种预报pH值的模式(欧拉酸沉降数值预报模式、神经网络预报模式、动态统计预报模式和集成预报模式),对2005年汛期(5~9月)的预报资料进行了对比,分析了这几种模式预报效果。
2) Ensemble forecast
集成预报
1.
By introducing two concepts first and second believable levels is proposed a new technique of ensemble forecasting that is applicable to all level stations in the country.
通过引入第一可信度和第二可信度两个概念，建立了一种新的适于我国各级台站使用的集成预报方法。
3) forecast ensemble
预报集成
1.
Based on the digital logic theory,it is tried to do forecast ensemble for the multimethods of the 2 group(0,1)meteorological elements by means of designing electric circuit.
以数字逻辑理论为基础 ,采用逻辑电路设计方法 ,对二级 ( 0 ,1 )气象要素预报多种方法进行预报集成尝试 ,效果令人满意。
4) Integrated MOS forecast
MOS预报集成
5) integrated prediction model
集成预报模型
1.
In this paper, the integrated prediction model of dynamic process for soil soluble salts is proposed.
提出了以GM(1,1)模型拟合发展的趋势、傅里叶变换撮周期分量和AR(p)模型模拟随机过程的集成预报模型 ,并用于黄河三角洲人工草场群落土壤盐分的定量研究中 。
6) nowcasting integrated system
Nowcasting集成预报系统
补充资料：短期天气预报(见天气预报和天气图预报)
短期天气预报(见天气预报和天气图预报)
u。。，，，:‘，anq，yubao短期天气预报见关匀布绍升，二，二一一
说明：补充资料仅用于学习参考，请勿用于其它任何用途。
参考词条