气候变化领域集成服务门户(CCPortal): Novel approach to integrate daily satellite rainfall with in-situ rainfall; Upper Tekeze Basin; Ethiopia

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DOI	10.1016/j.atmosres.2020.105135
	Novel approach to integrate daily satellite rainfall with in-situ rainfall; Upper Tekeze Basin; Ethiopia
	Gebremedhin M.A.; Lubczynski M.W.; Maathuis B.H.P.; Teka D.
发表日期	2021
ISSN	0169-8095
卷号	248
英文摘要	The daily rainfall is the most important and demanded input of water resources studies, challenged by typically low density and/or poor quality of in-situ observations. However, the satellite earth observation, through freely available web-based products, can provide complementary rainfall data. Such data is however, typically affected by substantial error, particularly at daily temporal resolution. Therefore, effective methods and protocols of rainfall downscaling, validation, and bias-correction are needed. The aims of this study were to: i) validate two downscaled satellite-derived daily rainfall products, CHIRPS and MPEG, against in-situ observations; ii) merge the downscaled products with in-situ observations to improve their accuracy and evaluate them to select better performing one. This study was conducted at topographically complex, Upper Tekeze Basin (UTB), separately for the wet and dry seasons, within 1 January 2015 – 31 December 2018. Validation of the products, downscaled by nearest-neighbor (NN) and bilinear (BL) methods, was carried out using descriptive statistics, categorical statistics and bias decomposition methods, introducing novel protocol with new bias indicators for each of the evaluation methods. The validation showed large biases of CHIRPS and of MPEG, larger for CHIRPS than for MPEG, larger in dry than in wet season and slightly larger for NN than for BL. To correct biases of the downscaled CHIRPS and MPEG, each was merged with the in-situ observed rainfall applying Geographically Weighted Regression (GWR) algorithm and using rainfall dependence on altitude as explanatory variable. The GWR-merging method substantially improved the accuracy of the MPEG and CHIRPS, with slightly better final accuracy of MPEG than of CHIRPS, better in wet than in dry season. This study confirmed that GWR-merged method could substantially reduce daily bias of satellite rainfall products, even in topographically complex areas, such as the UTB. Further improvement of the method application, can be achieved by densifying rain-gauge network and eventually by adding accuracy-effective explanatory variable(s). © 2020 The Author(s)
英文关键词	Bias-correction; Downscaling; Geographically-weighted-regression; Satellite-rainfall; Validation
语种	英语
scopus关键词	Chirp modulation; Complex networks; Drought; Rain gages; Satellites; Soil moisture; Water resources; Decomposition methods; Descriptive statistics; Explanatory variables; Geographically weighted regression; In-situ observations; Rain gauge networks; Rainfall downscaling; Temporal resolution; Rain; correction; downscaling; precipitation assessment; rainfall; regression analysis; satellite data; Ethiopia; Tekeze River
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/141668
作者单位	Department of Water Resources, Faculty of Geo-information Science and Earth Observation (ITC), University of Twente, P.O. Box 217, Enschede, 7500AA, Netherlands; Institute of Geoinformation and Earth Observation Sciences (I-GEOS), Mekelle University, P.O.Box 231, Mekelle, Ethiopia; Department of Land Resource Management and Environmental Protection (LaRMEP), Mekelle University, P.O.Box 231, Mekelle, Ethiopia
推荐引用方式 GB/T 7714	Gebremedhin M.A.,Lubczynski M.W.,Maathuis B.H.P.,et al. Novel approach to integrate daily satellite rainfall with in-situ rainfall; Upper Tekeze Basin; Ethiopia[J],2021,248.
APA	Gebremedhin M.A.,Lubczynski M.W.,Maathuis B.H.P.,&Teka D..(2021).Novel approach to integrate daily satellite rainfall with in-situ rainfall; Upper Tekeze Basin; Ethiopia.Atmospheric Research,248.
MLA	Gebremedhin M.A.,et al."Novel approach to integrate daily satellite rainfall with in-situ rainfall; Upper Tekeze Basin; Ethiopia".Atmospheric Research 248(2021).