甘肃省加权平均温度时空分布特征分析与模型建立

Spatial and Temporal Characteristics Analysis and Model Establishment of Weighted Average Temperature in Gansu Province

加权平均温度是大气可降水量研究过程中的一个重要参数,直接影响着大气可降水量反演的精度。针对适合于甘肃地区的加权平均温度模型较少且已有模型精度较低的情况,文章主要利用甘肃地区7个探空站2013-2017年的数据,统计分析了甘肃地区加权平均温度时空分布特征,依据最小二乘原理建立了本地化分区、分季、分月模型,并结合已有模型对其精度进行了验证。结果表明,甘肃地区加权平均温度具有明显的时空分布特征,建立分区、分季、分月模型是非常有必要的,且分区、分季、分月模型精度均优于已有模型,具有重要的实际应用价值。

The weighted average temperature is an important parameter in the research of atmospheric precipitable water vapor, which directly affects its precision. In view of the less weighted average temperature model suitable for Gansu Province and the low accuracy of existing models, we mainly use the data of 7 atmospheric sounding stations in Gansu from 2013 to 2017, and statistically analyze the spatial and temporal characteristics of the weighted average temperature in Gansu Province. Then based on the principle of least squares, localized partition, sub-quarter and sub-month models are established, and the accuracy of the model is verified by the existing models. The results show that the weighted average temperature in Gansu has obvious spatial and temporal characteristics. Therefore, it is very necessary to establish partition, sub-quarter and sub-month models. The precision of partition, sub-quarter and sub-month models is better than the existing models, which has important practical value.