Global rural temperature trends

被引:103
作者
Peterson, TC
Gallo, KP
Lawrimore, J
Owen, TW
Huang, A
McKittrick, DA
机构
[1] Natl Climat Ctr, Asheville, NC 28801 USA
[2] Univ N Carolina, Asheville, NC 28804 USA
[3] De Lorme Mapping Co, Yarmouth, ME 04096 USA
关键词
D O I
10.1029/1998GL900322
中图分类号
P [天文学、地球科学];
学科分类号
07 ;
摘要
Using rural/urban land surface classifications derived from maps and satellite observed nighttime surface lights, global mean land surface air temperature time series were created using data from all weather observing stations in a global temperature data base and from rural stations only. The global rural temperature time series and trends are very similar to those derived from the full data set. Therefore, the well-known global temperature time series from in situ stations is not significantly impacted by urban warming.
引用
收藏
页码:329 / 332
页数:4
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