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DOI10.1016/j.jag.2019.02.006
Hourly gridded air temperatures of South Africa derived from MSG SEVIRI
Meyer H.; Schmidt J.; Detsch F.; Nauss T.
发表日期2019
ISSN15698432
起始页码261
结束页码267
卷号78
英文摘要Monitoring of climate variables such as air temperature is gaining increasing importance under climate change. This study aimed at developing an hourly gridded 3.5 × 3.5 km air temperature (T air ) data set for entire South Africa. In a Random Forest approach, MSG SEVIRI data from 2010 to 2014 were used and related to T air measured by 78 weather stations. An external validation on new climate stations and years that were not used for model training indicated the ability of the model to predict T air with a RMSE of 2.61 °C and a R 2 of 0.89. The resulting model can be applied to the entire MSG SEVIRI time series since 2004. It hence allows for spatio-temporal pattern analysis as well as for the detection of trends which is relevant in the context of climate change. © 2019 Elsevier B.V.
英文关键词Air temperature; Climate; Machine learning; Meteosat; Random Forest; South Africa
语种英语
scopus关键词air temperature; climate change; climate variation; machine learning; Meteosat; prediction; SEVIRI; spatiotemporal analysis; South Africa
来源期刊International Journal of Applied Earth Observation and Geoinformation
文献类型期刊论文
条目标识符http://gcip.llas.ac.cn/handle/2XKMVOVA/156490
作者单位Institute of Geoinformatics, Westfälische Wilhelms-Universität Münster, Heisenbergstr. 2, Münster, 48149, Germany; Faculty of Geography, Philipps-Universität Marburg, Deutschhausstr. 10, Marburg, 35037, Germany
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Meyer H.,Schmidt J.,Detsch F.,et al. Hourly gridded air temperatures of South Africa derived from MSG SEVIRI[J],2019,78.
APA Meyer H.,Schmidt J.,Detsch F.,&Nauss T..(2019).Hourly gridded air temperatures of South Africa derived from MSG SEVIRI.International Journal of Applied Earth Observation and Geoinformation,78.
MLA Meyer H.,et al."Hourly gridded air temperatures of South Africa derived from MSG SEVIRI".International Journal of Applied Earth Observation and Geoinformation 78(2019).
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