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
Link To Document :
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