对2004年夏季跨季度气候预测中存在的问题进行了初步讨论，以便改进和完善中国科学院大气物理研究所短期气候预测系统。
The possible problems on the extra-seasonal climate prediction on the summer of 2004 are further discussed, which is to improve the seasonal prediction system by the institute.
介绍了我区新一代《短期气候预测综合业务系统》的设计思路、系统结构、系统功能等研制情况。
The thinking, structure, function and so on about the integrated operational system of new generation on short - term climate prediction are introduced.
从而为进一步改进IAP跨季度数值气候预测系统，提高短期气候预测能力提供了模式基础。
These improved IAP AGCMs may lead to a better IAP extraseaonal climate prediction system with higher short-term climate prediction ability.
由于神经网络本身是一个非线性动态系统，将其应用到短期气候变化预测这一非线性系统中，更能反映出气候系统状态量之间的物理关系和动力行为特性。
Because the neural networks itself is a non linear dynamic system, it reflects the physical relations and dynamic properties among state variables of the climatic system.
由于神经网络本身是一个非线性动态系统，将其应用到短期气候变化预测这一非线性系统中，更能反映出气候系统状态量之间的物理关系和动力行为特性。
Because the neural networks itself is a non linear dynamic system, it reflects the physical relations and dynamic properties among state variables of the climatic system.
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