Comparison of spatial interpolation techniques to generate high-resolution climate surfaces for Nigeria

doi:10.1002/joc.4990

	Comparison of spatial interpolation techniques to generate high-resolution climate surfaces for Nigeria
	Arowolo, Aisha Olushola 1,2,3; Bhowmik, Avit Kumar 4; Qi, Wei 1; Deng, Xiangzheng 1
刊名	INTERNATIONAL JOURNAL OF CLIMATOLOGY
	2017-08-01
卷号	37 页码:179-192
关键词	climate surfaces thin plate splines kriging interpolation temperature precipitation Nigeria
ISSN号	0899-8418
DOI	10.1002/joc.4990
通讯作者	Deng, Xiangzheng(dengxz.ccap@igsnrr.ac.cn)
英文摘要	Climate datagaps are a major challenge for understanding the impacts of climate change on ecosystems, particularly in highly climate vulnerable countries such as Nigeria. The generation of gridded climate data sets in the form of interpolated surfaces may help to fill climate datagaps and in turns enable climate change impact assessments. This article generates climate surfaces of monthly total precipitation and minimum and maximum temperatures for Nigeria at 0.001 degrees spatial resolution by comparing two spatial interpolation techniques, i.e. kriging with external drifts and thin plate splines. Climate data from 43 meteorological stations covering the period of 1960-2012 were used to generate climate surfaces fitting the longitude, latitude, elevation and distance to coastline of the stations as independent variables. Three model error statistics, i.e. root mean square error (RMSE), Nash-Sutcliffe efficiency (NSE) and index of agreement (d), were used to evaluate and compare the performances of interpolation techniques. The second-order and third-order partial thin plate splines were identified as the optimal models for generating precipitation, and minimum and maximum temperatures surfaces, respectively. The best-fit surfaces yielded an average RMSE, NSE and d of 14.98, 0.87 and 0.97 for precipitation, 0.42, 0.91 and 0.98 for minimum temperature and 0.52, 0.89 and 0.97 for maximum temperature. Our high-resolution climate surfaces are freely available from an online repository and widely applicable for climate change analysis as well as for biological, forestry and agricultural studies in Nigeria.
资助项目	National Key Research and Development Program of China[2016YFA0602500] ; Bureau of International Cooperation, Chinese Academy of Sciences[131A11KYSB20130023] ; China Scholarship Council[2015GXYG55]
WOS关键词	GLOBAL LAND AREAS ; DAILY RAINFALL ; DATA SET ; SPLINES ; MODELS ; PRECIPITATION ; CANADA ; TEMPERATURE ; ALTIPLANO ; MAXIMUM
WOS研究方向	Meteorology & Atmospheric Sciences
语种	英语
出版者	WILEY
WOS记录号	WOS:000417298600013
资助机构	National Key Research and Development Program of China ; Bureau of International Cooperation, Chinese Academy of Sciences ; China Scholarship Council
内容类型	期刊论文
源URL	[http://ir.igsnrr.ac.cn/handle/311030/60792]
专题	中国科学院地理科学与资源研究所
通讯作者	Deng, Xiangzheng
作者单位	1.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, Ctr Chinese Agr Policy, Beijing, Peoples R China 2.Univ Chinese Acad Sci, Beijing, Peoples R China 3.Fed Univ Agr, Dept Agr Econ & Farm Management, Abeokuta, Ogun State, Nigeria 4.Stockholm Univ, Stockholm Resilience Ctr, Stockholm, Sweden
推荐引用方式 GB/T 7714	Arowolo, Aisha Olushola,Bhowmik, Avit Kumar,Qi, Wei,et al. Comparison of spatial interpolation techniques to generate high-resolution climate surfaces for Nigeria[J]. INTERNATIONAL JOURNAL OF CLIMATOLOGY,2017,37:179-192.
APA	Arowolo, Aisha Olushola,Bhowmik, Avit Kumar,Qi, Wei,&Deng, Xiangzheng.(2017).Comparison of spatial interpolation techniques to generate high-resolution climate surfaces for Nigeria.INTERNATIONAL JOURNAL OF CLIMATOLOGY,37,179-192.
MLA	Arowolo, Aisha Olushola,et al."Comparison of spatial interpolation techniques to generate high-resolution climate surfaces for Nigeria".INTERNATIONAL JOURNAL OF CLIMATOLOGY 37(2017):179-192.