本文基于CRU气温数据,采用Mann-Kendall突变检验、线性趋势法,分析了1990~2022年东北地区年际以及四季气温时空变化特征。结果表明:1990~2022年东北地区年际、春、夏、秋三个季节均呈不显著增温趋(P > 0.05),冬季呈不显著降温趋势(P ...本文基于CRU气温数据,采用Mann-Kendall突变检验、线性趋势法,分析了1990~2022年东北地区年际以及四季气温时空变化特征。结果表明:1990~2022年东北地区年际、春、夏、秋三个季节均呈不显著增温趋(P > 0.05),冬季呈不显著降温趋势(P > 0.05)。年际及四季空间格局基本一致均呈现自北向南的环状升温空间分布格局,高值区在东北南部地区,低值区在北部地区。空间变化趋势上,全域均呈现增温或降温趋势,但显著变化区域相对较少。Based on the CRU temperature data, this paper analyses the characteristics of interannual as well as four-seasonal spatial and temporal temperature changes in the Northeast region from 1990 to 2022 using the Mann-Kendall mutation test and linear trend method. The results show that there is a non-significant warming trend (P > 0.05) in the interannual, spring, summer and autumn seasons, and a non-significant cooling trend (P > 0.05) in the winter season in the Northeast region from 1990 to 2022. The spatial pattern of the interannual and four seasons were basically consistent with the spatial distribution pattern of ring warming from north to south, with the high value area in the southern part of the Northeast and the low value area in the northern part. In terms of spatial change trend, the whole region shows a warming or cooling trend, but there are relatively few regions with significant changes.展开更多
文摘本文基于CRU气温数据,采用Mann-Kendall突变检验、线性趋势法,分析了1990~2022年东北地区年际以及四季气温时空变化特征。结果表明:1990~2022年东北地区年际、春、夏、秋三个季节均呈不显著增温趋(P > 0.05),冬季呈不显著降温趋势(P > 0.05)。年际及四季空间格局基本一致均呈现自北向南的环状升温空间分布格局,高值区在东北南部地区,低值区在北部地区。空间变化趋势上,全域均呈现增温或降温趋势,但显著变化区域相对较少。Based on the CRU temperature data, this paper analyses the characteristics of interannual as well as four-seasonal spatial and temporal temperature changes in the Northeast region from 1990 to 2022 using the Mann-Kendall mutation test and linear trend method. The results show that there is a non-significant warming trend (P > 0.05) in the interannual, spring, summer and autumn seasons, and a non-significant cooling trend (P > 0.05) in the winter season in the Northeast region from 1990 to 2022. The spatial pattern of the interannual and four seasons were basically consistent with the spatial distribution pattern of ring warming from north to south, with the high value area in the southern part of the Northeast and the low value area in the northern part. In terms of spatial change trend, the whole region shows a warming or cooling trend, but there are relatively few regions with significant changes.
