山区月降水量的短序列订正方法

山区降水量数据非常有限，而且它们的时间序列长短不一，需要将短时间序列的降水量数据延长到统一的长时间序列，才能进行相互比较，这是山区气候研究中的一项重要的基础工作。以浙江省仙居县为例，通过分析月降水量的时间分布类型，选择了县内10个降水量测站，分别以上张水文站和苗寮水文站为基本站，以其它7个水文站和括苍山气象站为订正站，对基本站和订正站的月降水量之间进行相关分析，并采用月降水量相对系数的稳定性特征对各订正站的月降水量进行了时间序列订正，然后，从订正误差的角度分别对订正结果进行了分析。结果表明：基本站与订正站月降水量之间的相关系数越大，则订正站月降水量的订正误差越小。此外，当基本站与订正站月降水量之间的相关系数相差不大时，则订正站月降水量的订正误差与月降水量的时间分布类型有关，月降水量属于同一类型的订正误差比不属于同一分布类型的订正误差小。

Adjusting Method of Monthly Precipitation Series in Mountainous Area

Because of the sparse distribution of precipitation stations, the time series of precipitation data in precipitation stations is not usually coherent. So those short time series in precipitation stations is prolonged to study the climate resources in the mountainous areas. In this paper, we took Xianju County, Zhejiang Province as the example and analyzed the temporal distribution characteristics of monthly precipitation. By choosing monthly precipitation data from 10 precipitation stations, we took Shangzhang station and Miaoliao station as the one basic station, respectively, and analyzed the correlative relationship between the adjusted stations and the basic stations. To the time series adjusting of monthly precipitation, firstly, the time series of yearly precipitation are adjusted, and then the time series of monthly precipitation are adjusted using the relative coefficient of monthly precipitation. The fitting errors for monthly precipitation data series were calculated using statistical methods. The results indicated that the more correlative coefficient between the adjusted stations and basic station is, the less the fitting errors. The adjusting effect have relation with the temporal distribution characteristics of monthly precipitation if the difference of the correlative coefficient is insignificant. Moreover, the adjusting effect that analyzed the temporal distribution characteristics of monthly precipitation were consistently better than the ones that did not analyzed the temporal distribution characteristics of monthly precipitation.