IGSNRR OpenIR
Mapping temperature using a Bayesian statistical method and a high accuracy surface modelling method in the Beijing-Tianjin-Hebei region, China
Zhao, Na1,2; Lu, Ning1,2; Chen, Chuanfa3; Li, Han4; Yue, Tianxiang1,2; Zhang, Lili1; Liu, Yu1
2017-10-01
Source PublicationMETEOROLOGICAL APPLICATIONS
ISSN1350-4827
Volume24Issue:4Pages:571-579
Corresponding AuthorZhao, Na(zhaon@lreis.ac.cn)
AbstractA 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.
KeywordHASM Bayesian statistical method interpolator temperature Beijing-Tianjin-Hebei region
DOI10.1002/met.1657
WOS KeywordSPATIAL INTERPOLATION ; AIR-TEMPERATURE ; UNITED-STATES ; CLIMATE ; GRIDS
Indexed BySCI
Language英语
Funding ProjectNational 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
Funding OrganizationNational Natural Science Foundation of China ; Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Science ; LREIS, CAS
WOS Research AreaMeteorology & Atmospheric Sciences
WOS SubjectMeteorology & Atmospheric Sciences
WOS IDWOS:000412399700003
PublisherWILEY
Citation statistics
Cited Times:6[WOS]   [WOS Record]     [Related Records in WOS]
Document Type期刊论文
Identifierhttp://ir.igsnrr.ac.cn/handle/311030/62063
Collection中国科学院地理科学与资源研究所
Corresponding AuthorZhao, Na
Affiliation1.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
Recommended Citation
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.
Files in This Item:
There are no files associated with this item.
Related Services
Recommend this item
Bookmark
Usage statistics
Export to Endnote
Google Scholar
Similar articles in Google Scholar
[Zhao, Na]'s Articles
[Lu, Ning]'s Articles
[Chen, Chuanfa]'s Articles
Baidu academic
Similar articles in Baidu academic
[Zhao, Na]'s Articles
[Lu, Ning]'s Articles
[Chen, Chuanfa]'s Articles
Bing Scholar
Similar articles in Bing Scholar
[Zhao, Na]'s Articles
[Lu, Ning]'s Articles
[Chen, Chuanfa]'s Articles
Terms of Use
No data!
Social Bookmark/Share
All comments (0)
No comment.
 

Items in the repository are protected by copyright, with all rights reserved, unless otherwise indicated.