DocumentCode
2454899
Title
Spatial interpolation of air temperature with ANUSPLIN in Three Gorges Reservoir Area
Author
Zhang, Xueqing ; Shao, Jing An ; Luo, Hongxia
Author_Institution
Sch. of Geogr. Sci., Southwest Univ., Chongqing, China
fYear
2011
fDate
24-26 June 2011
Firstpage
3465
Lastpage
3468
Abstract
It is very important to research the spatial distribution of mountain temperature for the rational use of mountain climate resources. The Three Gorges Reservoir Area is separated by mountains, with complex topography and typical feature of mountain temperature. Facing the few climate data sites in mountain area, the professional interpolation software for meteorology data (ANUSPLIN) is used to achieve the point data to surface, and it is used to develop a gridded temperature for the Three Gorges Reservoir Area at a resolution of 500 meters in latitude and longitude. The Latitude and longitude are used as the independent spline variables, and the elevation above sea-level (digital elevation model-DEM) is used as the independent covariate. The fitted surfaces are able to generate an estimate of temperature conditions for any location in the country where three independent topographic variables are available, and considering the influence of elevation. The ANUSPLIN is very useful to promote the interpolation accuracy and precision to the mountain area.
Keywords
atmospheric boundary layer; atmospheric temperature; digital elevation models; geophysics computing; interpolation; meteorology; reservoirs; splines (mathematics); topography (Earth); ANUSPLIN; China; DEM; Three Gorges Reservoir Area; air temperature; complex topography; digital elevation model; independent spline variables; interpolation software; meteorology data; mountain climate resources; mountain temperature; spatial interpolation; topographic variables; Interpolation; Meteorology; Ocean temperature; Reservoirs; Sea surface; Spline; Temperature distribution; ANUSPLIN; DEM; Three Gorges Reservoir Area; mountain temperature; spatial interpolation;
fLanguage
English
Publisher
ieee
Conference_Titel
Remote Sensing, Environment and Transportation Engineering (RSETE), 2011 International Conference on
Conference_Location
Nanjing
Print_ISBN
978-1-4244-9172-8
Type
conf
DOI
10.1109/RSETE.2011.5965057
Filename
5965057
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