统计预报主要依赖于紫外线的实测资料和对相关气象要素的观测。
The Statistics Prediction mainly relies on the monitored data of UV and the observation of relative meteorological factors.
浓度同气象条件关系密切，本文采用一元统计方法对二者进行相关性分析，从而得到对PM_（10）污染影响显著的气象要素，作为后续进行PM_（10）浓度预报的依据。
There is a close correlativity between PM_(10) concentration and meteorological condition, so one-member statistical method had been used to analyst the correlation between them according to season.
为提高降雹预报准确率，确保飞行安全，统计分析了1982- 1995年民航福州义序机场气象资料，归纳机场降雹的天气特征。
The weather information of civil aviation Fuzhou Yixu aerodrome in the year of 1982-1995 was statistically analyzed, and the characteristics of the falling hail were induced.
在模型中既考虑了气象条件的作用，又考虑了污染排放量和起报日的污染浓度，与以往的空气污染预报统计模型相比，所依据的物理基础更可信一些。
In this model the effect of meteorological element, output and concentration of air pollutant were considered, so it's physical foundation may be more believable than pure statistics model.
统计预报方法是农业气象预报业务中常用的一种方法。
The statistic forecasting is a popular method in agrometeorological forecasting operation.
并给出了各种非线性统计预报模型在气象预报中的具体应用实例索引。
It also shows the example index of non-linear statistical forecast models.
黄嘉佑。2000。气象统计分析与预报方法[M]。北京：气象出版社，309- 343。
Huang Jiayou. 2000. Meteorological statistical analysis and prediction method [m]. Beijing: Meteorological Press, 309-343.
黄嘉佑。2000。气象统计分析与预报方法[M]。北京：气象出版社，309- 343。
Huang Jiayou. 2000. Meteorological statistical analysis and prediction method [m]. Beijing: Meteorological Press, 309-343.
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