Solar radiation data gained from routine meteorology observation are of extraordinary significance to the climate change research because of its long time scale and wide geography scope.
常规气象观测所获得的日射资料由于其时间尺度长，地理覆盖范围广，因此对气候变化的研究，具有特别的意义。
Recognition of aquifer with both unite pump experiment data and long-time observation hole data in numerical model parametric recognition process gets a good effect.
在数值模型参数的识别过程中采用了联合抽水试验资料和长观孔资料对含水层参数进行识别，得到了较好的效果。
The realization of this system has solved the scientific and studying needs of the precursory observation data, which are accumulated for a long time in the analysis and prediction.
该系统的实现解决了分析预报和研究人员对长期积累的前兆观测数据的科研需要。
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