DOI: 10.1016/j.atmosres.2018.05.009
Scopus记录号: 2-s2.0-85047320037
论文题名: Evaluation of satellite rainfall estimates over the Lake Tana basin at the source region of the Blue Nile River
作者: Fenta A.A. ; Yasuda H. ; Shimizu K. ; Ibaraki Y. ; Haregeweyn N. ; Kawai T. ; Belay A.S. ; Sultan D. ; Ebabu K.
刊名: Atmospheric Research
ISSN: 1698095
出版年: 2018
卷: 212 起始页码: 43
结束页码: 53
语种: 英语
英文关键词: Cumulative rainfall
; Drought-prone
; Ethiopia
; Rain gauge measurements
; Rainfall occurrence
; Satellite rainfall estimates
Scopus关键词: Chirp modulation
; Efficiency
; Lakes
; Rain gages
; Random errors
; Satellites
; Complex topographies
; Cumulative rainfall
; Detection capability
; Ethiopia
; Ground-based observations
; Rain gauges
; Rainfall climatologies
; Satellite rainfalls
; Rain
英文摘要: Satellite rainfall estimates (SREs) have become alternative sources of rainfall data for several applications. However, the accuracy of the SREs is likely to vary from region to region and must be evaluated on a local basis. This study evaluated the accuracy of three SREs for the Lake Tana basin in northwestern Ethiopia. This basin is characterized by complex topography comprising both lowlands and highlands. The three SREs were the Tropical Applications of Meteorology using SATellite data and ground-based observations (TAMSAT), the Climate Hazard Infrared Precipitation with Stations (CHIRPS), and the Africa Rainfall Climatology (ARC). The SREs were compared with gauge measurements in lowland and highland regions during the period 1995–2010 on a point-to-pixel basis at daily, dekadal (10 days), monthly, and seasonal periodicities. The results show that the three SREs underestimated rainy events, but TAMSAT captured rainfall occurrence relatively well in both regions. ARC better estimated light rain rates (1–5 mm d−1) than did TAMSAT and CHIRPS; however, all the SREs markedly underestimated moderate and heavier rain rates (≥10 mm d−1). TAMSAT and CHIRPS estimated the amount of rainfall reasonably well (high efficiency, low random errors, and bias <10%) at daily, dekadal, and monthly time scales, whereas ARC did not perform satisfactorily (high random errors, low efficiency, and bias >20%) at any time scale. On a seasonal scale, CHIRPS estimated the secondary rainy season (March–May) rainfall better than did ARC and TAMSAT, whereas TAMSAT outperformed both CHIRPS and ARC during the primary rainy season (June–September). Overall, the rainfall detection capabilities and rainfall amount estimates of the SREs were better over the lowlands, and the cumulative rainfall estimates tended to improve with increasing integration time (i.e., from daily to seasonal totals). © 2018 Elsevier B.V. Citation statistics:
资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/108812
Appears in Collections: 影响、适应和脆弱性 气候变化事实与影响
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作者单位: Arid Land Research Center, Tottori University, 1390 Hamasaka, Tottori, 680-0001, Japan; Department of Land Resources Management and Environmental Protection, Mekelle University, P.O. Box 231, Mekelle, Ethiopia; Faculty of Agriculture, Tottori University, 4–101 Koyama-cho Minami, Tottori, 680-8553, Japan; Faculty of Agriculture, Yamaguchi University, 1677–1 Yoshida, Yamaguchi, 753-8515, Japan; International Platform for Dryland Research and Education, Tottori University, 1390 Hamasaka, Tottori, 680-0001, Japan; Department of Earth Science and Blue Nile Water Institute, Bahir Dar University, P.O. Box 79, Bahir Dar, Ethiopia
Recommended Citation:
Fenta A.A.,Yasuda H.,Shimizu K.,et al. Evaluation of satellite rainfall estimates over the Lake Tana basin at the source region of the Blue Nile River[J]. Atmospheric Research,2018-01-01,212