中文版 | English

在结果中检索

IEECAS OpenIR

浏览/检索结果: 共4条，第1-4条 帮助

限定条件    
已选(0)清除 条数/页：   排序方式：
Exploring diurnal thermal variations in urban local climate zones with ECOSTRESS land surface temperature data 期刊论文
REMOTE SENSING OF ENVIRONMENT, 2021, 卷号: 263, 页码: 15
作者:  Chang, Yue;  Xiao, Jingfeng;  Li, Xuxiang;  Middel, Ariane;  Zhang, Yunwei;  Gu, Zhaolin;  Wu, Yiping;  He, Shan
收藏  |  浏览/下载：231/0  |  提交时间：2021/12/07
Urban heat island  International space station  Diurnal cycling  Heat waves  Urban landscapes  Urbanization  Megacity  Thermal remote sensing  Geostationary satellite  Local climate zone  
Changes in the Tree-Ring Width-Derived Cumulative Normalized Difference Vegetation Index over Northeast China during 1825 to 2013 CE 期刊论文
FORESTS, 2021, 卷号: 12, 期号: 2, 页码: 17
作者:  Liu, Ruoshi;  Song, Yi;  Liu, Yu;  Li, Xuxiang;  Song, Huiming;  Sun, Changfeng;  Li, Qiang;  Cai, Qiufang;  Ren, Meng;  Wang, Lu
收藏  |  浏览/下载：304/0  |  提交时间：2021/05/21
northeast China  tree-ring width  remote sensing  cumulative normalized difference vegetation index (CNDVI)  reconstruction  climate variability  
Relative humidity variation derived from tree-ring delta O-18 and possible large-scale atmospheric circulations linkage over the Guanzhong Plain, central northern China, since 1760 CE 期刊论文
INTERNATIONAL JOURNAL OF CLIMATOLOGY, 2021, 页码: 14
作者:  Liu, Ruoshi;  Li, Qiang;  Liu, Yu;  Li, Xuxiang;  Ren, Meng;  Ma, Yongyong;  Sun, Changfeng;  Song, Huiming;  Cai, Qiufang
收藏  |  浏览/下载：318/0  |  提交时间：2021/05/08
China  Guanzhong Plain  relative humidity  tree-ring delta O-18  
Profiles and Source Apportionment of Nonmethane Volatile Organic Compounds in Winter and Summer in Xi'an, China, based on the Hybrid Environmental Receptor Model 期刊论文
ADVANCES IN ATMOSPHERIC SCIENCES, 2021, 卷号: 38, 期号: 1, 页码: 116-131
作者:  Sun, Jian;  Shen, Zhenxing;  Zhang, Yue;  Dai, Wenting;  He, Kun;  Xu, Hongmei;  Zhang, Zhou;  Cui, Long;  Li, Xuxiang;  Huang, Yu;  Cao, Junji
收藏  |  浏览/下载：299/0  |  提交时间：2021/05/08
NMHCs  OVOCs  source apportionment  Hybrid Environmental Receptor Model