气候变化领域集成服务门户(CCPortal): Fine-resolution precipitation mapping over Syria using local regression and spatial interpolation

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DOI	10.1016/j.atmosres.2021.105524
	Fine-resolution precipitation mapping over Syria using local regression and spatial interpolation
	Alsafadi K.; Mohammed S.; Mokhtar A.; Sharaf M.; He H.
发表日期	2021
ISSN	0169-8095
卷号	256
英文摘要	Annual precipitation at 1 km2 spatial resolution have been produced over Syria for a referenced period of 1975–2010. The observations from 410 rain-gauges were interpolated over a regular grid by applying multivariate regression models (PSMRM) and local equations for sub-regions of the study area. This statistical method aims to model the influences of the essential geographical and topographical climatic factors, such as longitude, latitude, elevation, slopes, and aspects on the precipitation field in multiple local regions. The PSMRM is composed of two steps, (i) a potential surface of precipitation is calculated through multi-linear local regressions based on geographical and topographical information, then (ii) a kriging and IDW interpolation is applied to adjust the potential surface so as to better fit the station residuals (i.e. the difference between the observed values and the predicted values which are obtained from PSMRM). Ultimately, the models' accuracy was evaluated by 43 stations. The PSRMR-IDW-3 is found to be superior to all other models; the value of RMSE was 92.5 mm and the Nash-Sutcliffe efficiency NSE was 0.9187, while the Willmott index of agreement was 0.9808. In contrast, the PSMRM-OK-EXP was only superior to other models with the least mean absolute error (MEA) and the mean absolute percentage error (MAPE); the difference was 64.07 mm, i.e. 11.44%. However, all the proposed models were shown to be highly efficient compared to global models and can be considered an appropriate alternative to studying precipitation variability spatially over Syria. © 2021 Elsevier B.V.
英文关键词	Geostatistical analysis; GIS; Multi-variate regression; Precipitation climatologies; Syria
来源期刊	Atmospheric Research
文献类型	期刊论文
条目标识符	http://gcip.llas.ac.cn/handle/2XKMVOVA/236778
作者单位	Department of Geography and GIS, Faculty of Arts, Alexandria University, Alexandria, 25435, Egypt; Institute of Land Use, Technology and Regional Development, University of Debrecen, Debrecen, 4032, Hungary; State of Key Laboratory of Soil Erosion and Dryland Farming on Loess Plateau, Institute of Soil and Water Conservation, Northwest Agriculture and Forestry University, Institute of Soil and Water Conservation, Chinese Academy of Sciences and Ministry of Water Resources, Yangling, 712100, China; Department of Agricultural Engineering, Faculty of Agriculture, Cairo University, Giza, 12613, Egypt; School of Geographic Sciences, East China Normal University, Shanghai, 210062, China
推荐引用方式 GB/T 7714	Alsafadi K.,Mohammed S.,Mokhtar A.,et al. Fine-resolution precipitation mapping over Syria using local regression and spatial interpolation[J],2021,256.
APA	Alsafadi K.,Mohammed S.,Mokhtar A.,Sharaf M.,&He H..(2021).Fine-resolution precipitation mapping over Syria using local regression and spatial interpolation.Atmospheric Research,256.
MLA	Alsafadi K.,et al."Fine-resolution precipitation mapping over Syria using local regression and spatial interpolation".Atmospheric Research 256(2021).