Title :
Comparison of interpolation methods for typical meteorological factors based on GIS — A case study in JiTai basin, China
Author :
Yang, Gege ; Zhang, Jing ; Yang, Yanzhao ; You, Zhen
Author_Institution :
Coll. of Resource Environ. & Tourism, Capital Normal Univ., Beijing, China
Abstract :
This study aims to estimate the spatial distribution patterns of three typical meteorological factors: maximum temperature, minimum temperature and precipitation in JiTai basin. Forty-seven-year monthly mean meteorological data were interpolated using Inverse distance weight (IDW), Ordinary kriging (OK) and Tension spline function (TPF). Cross-validation was applied to evaluate the accuracy of the above methods, and three indices including mean absolute error (MAE), mean relative error (MRE) and root mean squared error (RMSE) were used to compare the accuracy. The results reveal that the OK realization is the optimal method for interpolating mean values of both minimum temperature and precipitation monthly data over the past 47 years. Besides, the TPF is the proper method for maximum temperature with least MAE(1.37°C) and RMSE(1.73°C). Clearly indicating the tendency, the grid map based on the OK method appears to be much smoother, whereas the other two kinds which contain jaggies and “buphthalmos” look rough.
Keywords :
atmospheric precipitation; atmospheric techniques; atmospheric temperature; geographic information systems; geophysics computing; interpolation; meteorology; statistical analysis; China; GIS; Jitai basin; interpolation method comparison; inverse distance weight method; maximum temperature spatial distribution pattern; mean absolute error; mean relative error; meteorological factors; minimum temperature spatial distribution pattern; monthly mean meteorological data; ordinary kriging; precipitation spatial distribution pattern; root mean squared error; tension spline function; Accuracy; Interpolation; Meteorological factors; Sorting; Spline; Temperature distribution; Interpolation method; JiTai basin; Meteorological factor; Spatial distribution;
Conference_Titel :
Geoinformatics, 2011 19th International Conference on
Conference_Location :
Shanghai
Print_ISBN :
978-1-61284-849-5
DOI :
10.1109/GeoInformatics.2011.5980721