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Comparison of spatial interpolation techniques to generate high-resolution climate surfaces for Nigeria
Stockholm University, Faculty of Science, Stockholm Resilience Centre.ORCID iD: 0000-0002-7137-0741
Number of Authors: 42017 (English)In: International Journal of Climatology, ISSN 0899-8418, E-ISSN 1097-0088, Vol. 37, p. 179-192Article in journal (Refereed) Published
Abstract [en]

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.

Place, publisher, year, edition, pages
2017. Vol. 37, p. 179-192
Keywords [en]
climate surfaces, thin plate splines, kriging, interpolation, temperature, precipitation, Nigeria
National Category
Earth and Related Environmental Sciences
Identifiers
URN: urn:nbn:se:su:diva-151023DOI: 10.1002/joc.4990ISI: 000417298600013OAI: oai:DiVA.org:su-151023DiVA, id: diva2:1172434
Available from: 2018-01-10 Created: 2018-01-10 Last updated: 2018-01-10Bibliographically approved

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CiteExportLink to record
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  • apa
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  • de-DE
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