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DOI | 10.1016/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 |
ISSN | 15698432 |
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 |
推荐引用方式 GB/T 7714 | 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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