在用AR、ARMA等线性模式对气候序列进行拟合和预报时，由于气候序列中存在着非线性变化，所以拟合和预报效果往往不太理想。
Using linear regressive models (e. g. AR, ARMA model) to fit and predict the climatic time series, the results are not sufficiently good because there exist nonlinear variations in the time series.
本文采用自然正交函数分解法对我国南方地区的降水气候序列与夏季（5～8月）逐日降水序列进行时空特征分析和对应天气形势分析。
In this paper the climatology of the precipitation, the daily rainfall series of months 5-8 and the correlative weather systems are analysed.
科学家测出了玉米的基因组序列，为全世界的致力于在面对饥饿与气候变化的情况下改善玉米品种的植物育种者提供了数据。
Scientists have sequenced the genome of maize, providing data for plant breeders around the world aiming to improve maize varieties in the face of hunger and climate change.
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