摘要
日平均气温是反映气候特征的主要指标之一,计算日平均气温的方法有很多种,为了弄清不同的计算方法对日平均气温的影响,笔者对河北省5个国家基准站的多年逐时气温资料分别进行极值平均、4次平均、8次平均3种计算方法,统计日平均气温并与实际日平均气温进行对比分析。结果表明：3种计算方法得出的平均气温序列与实际平均气温序列相关性较高,相关系数高达0.9以上。气温平均值8次平均最接近于实际日平均气温,平均偏低0.0052℃;极值平均比24次平均偏高0.4568℃;4次比24次平均偏低0.1789℃。增温速率24次平均最小,24次平均比4次平均的气温增温速率偏低0.001~0.03℃/10 a。3种计算方法的估计精度在10^-7和10^-4之间,精度较高。在保证资料长度及测站数量的前提下,几种方法均能很好地代表气候的变化趋势。
The mean daily temperature is a major indicator reflecting climate characteristics, there are many ways to calculate the mean daily temperature. In order to find out the influence of different calculation methods on the mean daily temperature, on the basis of data from 5 national benchmark stations of Hebei Province, 3 kinds of computational methods including the extreme value average, 4 times average and 8 times average were adopted to count the mean daily temperature and analyze the result in comparing with the actual daily average temperatures. The results indicated that the correlation coefficient between the 3 kinds of calculation methods of the mean temperature and the actual average temperature series was higher than 0.9. The mean temperatures calculated by 8 times average was the closest to the actual average temperature, averagely lowered for 0.0052℃; the extreme value was 0.4568℃ higher than the actual average temperature; the 4 times average was 0.1789℃ lower than the actual average temperature. The temperature increasing rate of the 24 times was the smallest, and the rate of 10 a was close to 0.33, higher than the results of previous studies. The estimation accuracy of the 3 kinds of calculation methods was between 10^-7 and 10^-4, which was relatively high. Under the premise of ensuring the length of the data and the number of stations, these methods can well represent the climate change trend.
出处
《中国农学通报》
2015年第33期269-272,共4页
Chinese Agricultural Science Bulletin
基金
国家公益性行业专项"近百年全球陆地气候变化监测技术与应用"(201206024)
关键词
日平均气温
日平均气温统计方法
估计精度
mean daily temperature
mean daily temperature statistical method
estimation accuracy
