燃气负荷受天气、温度、节假日及一些随机因素等影响，很难建立准确的预测模型。
As affected by weather, temperature, holidays as well as some other random factors, it is very difficult to establish prediction models for gas load.
结果表明，相对于大气环流模型来说，区域气候模式与作物模型的结合省去了随机天气发生器的中间环节，减小了不确定性产生的因素。
The results showed that compared with GCMs, RCM combined with the crop model could omit the intercurrent process of stochastic weather generator and decrease the assessment uncertainty.
结果表明，相对于大气环流模型来说，区域气候模式与作物模型的结合省去了随机天气发生器的中间环节，减小了不确定性产生的因素。
The results showed that compared with GCMs, RCM combined with the crop model could omit the intercurrent process of stochastic weather generator and decrease the assessment uncertainty.
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