中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
首页 机构 成果 学者
  
  1. CAS IR Grid
  2. 地理科学与资源研究所
  3. 中国科学院地理科学与资源研究所
Mapping temperature using a Bayesian statistical method and a high accuracy surface modelling method in the Beijing-Tianjin-Hebei region, China

文献类型：期刊论文

作者Zhao, Na1,2; Lu, Ning1,2; Chen, Chuanfa3; Li, Han4; Yue, Tianxiang1,2; Zhang, Lili1; Liu, Yu1
刊名METEOROLOGICAL APPLICATIONS
出版日期2017-10-01
卷号24期号:4页码:571-579
关键词HASM Bayesian statistical method interpolator temperature Beijing-Tianjin-Hebei region
ISSN号1350-4827
DOI10.1002/met.1657
通讯作者Zhao, Na(zhaon@lreis.ac.cn)
英文摘要A more accurate Bayesian statistical technique together with a high accuracy surface modelling method (HASM) was used to improve the accuracy of temperature fields in the Beijing-Tianjin-Hebei (BTH) region, China. Bayesian statistical inference theory was first applied to fill missing daily values for meteorological stations on an annual scale. A mixed interpolator was then employed to simulate the annual mean temperature and was compared with other methods. The annual mean temperature was produced and the inter-decade change was investigated. The results show that the values filled by Bayesian statistical inference theory agree well with actual observations. A comparison with other interpolators shows that combining the Bayesian estimation method with the HASM gives better results than those of the other methods tested in this study. The construction of the annual mean temperature for 10years shows the change interval and the spatial distribution of temperature in the BTH region. The annual temperature over 10years changed from less than -1 degrees C in the northwest to more than 14 degrees C in the southeast. From 1981-1990 (T1) to 1991-2000 (T2) and T2 to 2001-2010 (T3) the temperature change was spatially stationary and varied mainly from -0.05 degrees C to 0.05 degrees C, except for some areas such as the southwest of Tangshan city and the south of Tianjin city where land cover and land use has exhibited large decadal variation during the past 30years.
WOS关键词SPATIAL INTERPOLATION ; AIR-TEMPERATURE ; UNITED-STATES ; CLIMATE ; GRIDS
资助项目National Natural Science Foundation of China[41541010] ; National Natural Science Foundation of China[41421001] ; National Natural Science Foundation of China[41590840] ; National Natural Science Foundation of China[91425304] ; National Natural Science Foundation of China[91325204] ; Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Science[TSYJS03] ; LREIS, CAS
WOS研究方向Meteorology & Atmospheric Sciences
语种英语
WOS记录号WOS:000412399700003
出版者WILEY
资助机构National Natural Science Foundation of China ; Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Science ; LREIS, CAS
源URL[http://ir.igsnrr.ac.cn/handle/311030/62062]  
专题中国科学院地理科学与资源研究所
通讯作者Zhao, Na
作者单位1.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, State Key Lab Resources & Environm Informat Syst, Beijing, Peoples R China
2.Jiangsu Ctr Collaborat Innovat Geog Informat Reso, Nanjing, Jiangsu, Peoples R China
3.Shandong Univ Sci & Technol, Geomat Coll, Qingdao, Peoples R China
4.China Univ Geosci, Sch Earth Sci & Resources, Beijing, Peoples R China
推荐引用方式
GB/T 7714		 Zhao, Na,Lu, Ning,Chen, Chuanfa,et al. Mapping temperature using a Bayesian statistical method and a high accuracy surface modelling method in the Beijing-Tianjin-Hebei region, China[J]. METEOROLOGICAL APPLICATIONS,2017,24(4):571-579.
APA Zhao, Na.,Lu, Ning.,Chen, Chuanfa.,Li, Han.,Yue, Tianxiang.,...&Liu, Yu.(2017).Mapping temperature using a Bayesian statistical method and a high accuracy surface modelling method in the Beijing-Tianjin-Hebei region, China.METEOROLOGICAL APPLICATIONS,24(4),571-579.
MLA Zhao, Na,et al."Mapping temperature using a Bayesian statistical method and a high accuracy surface modelling method in the Beijing-Tianjin-Hebei region, China".METEOROLOGICAL APPLICATIONS 24.4(2017):571-579.

入库方式： OAI收割

来源：地理科学与资源研究所

浏览0
下载0
收藏0
其他版本

除非特别说明，本系统中所有内容都受版权保护，并保留所有权利。