Inhomogeneities in the daily mean/maximum/minimum temperature (T m /T max /T min) series from 1960 2008 at 549 National Standard Stations (NSSs) in China were analyzed by using the Multiple Analysis of Series for Homo...Inhomogeneities in the daily mean/maximum/minimum temperature (T m /T max /T min) series from 1960 2008 at 549 National Standard Stations (NSSs) in China were analyzed by using the Multiple Analysis of Series for Homogenization (MASH) software package.Typical biases in the dataset were illustrated via the cases of Bei-jing (BJ),Wutaishan (WT),ürümqi (UR) and Henan (HN) stations.The homogenized dataset shows a mean warm-ing trend of 0.261/0.193/0.344oC/decade for the annual series of T m /T max /T min,slightly smaller than that of the original dataset by 0.006/0.009/0.007oC/decade.However,considerable differences between the adjusted and origi-nal datasets were found at the local scale.The adjusted T min series shows a significant warming trend almost eve-rywhere for all seasons,while there are a number of sta-tions with an insignificant trend in the original dataset.The adjusted T m data exhibit significant warming trends annually as well as for the autumn and winter seasons in northern China,and cooling trends only for the summer in the middle reaches of the Yangtze River and parts of cen-tral China and for the spring in southwestern China,while the original data show cooling trends at several stations for the annual and seasonal scales in the Qinghai,Shanxi,Hebei,and Xinjiang provinces.The adjusted T max data exhibit cooling trends for summers at a number of stations in the mid-lower reaches of the Yangtze and Yellow Riv-ers and for springs and winters at a few stations in south-western China,while the original data show cooling trends at three/four stations for the annual/autumn periods in the Qinghai and Yunnan provinces.In general,the number of stations with a cooling trend was much smaller in the adjusted T m and T max dataset than in the original dataset.The cooling trend for summers is mainly due to cooling in August.The results of homogenization using MASH appear to be robust;in particular,different groups of stations with consideration of elevation led to minor effects in the results.展开更多
基金supported by the National Basic Research Program of China 2009CB421401 and 2006CB400503
文摘Inhomogeneities in the daily mean/maximum/minimum temperature (T m /T max /T min) series from 1960 2008 at 549 National Standard Stations (NSSs) in China were analyzed by using the Multiple Analysis of Series for Homogenization (MASH) software package.Typical biases in the dataset were illustrated via the cases of Bei-jing (BJ),Wutaishan (WT),ürümqi (UR) and Henan (HN) stations.The homogenized dataset shows a mean warm-ing trend of 0.261/0.193/0.344oC/decade for the annual series of T m /T max /T min,slightly smaller than that of the original dataset by 0.006/0.009/0.007oC/decade.However,considerable differences between the adjusted and origi-nal datasets were found at the local scale.The adjusted T min series shows a significant warming trend almost eve-rywhere for all seasons,while there are a number of sta-tions with an insignificant trend in the original dataset.The adjusted T m data exhibit significant warming trends annually as well as for the autumn and winter seasons in northern China,and cooling trends only for the summer in the middle reaches of the Yangtze River and parts of cen-tral China and for the spring in southwestern China,while the original data show cooling trends at several stations for the annual and seasonal scales in the Qinghai,Shanxi,Hebei,and Xinjiang provinces.The adjusted T max data exhibit cooling trends for summers at a number of stations in the mid-lower reaches of the Yangtze and Yellow Riv-ers and for springs and winters at a few stations in south-western China,while the original data show cooling trends at three/four stations for the annual/autumn periods in the Qinghai and Yunnan provinces.In general,the number of stations with a cooling trend was much smaller in the adjusted T m and T max dataset than in the original dataset.The cooling trend for summers is mainly due to cooling in August.The results of homogenization using MASH appear to be robust;in particular,different groups of stations with consideration of elevation led to minor effects in the results.
