Knowledge Resource Center for Ecological Environment in Arid Area
DOI | 10.1016/j.pce.2018.02.010 |
Validation of satellite-based rainfall in Kalahari | |
Lekula, Moiteela1; Lubczynski, Maciek W.1; Shemang, Elisha M.2; Verhoef, Wouter1 | |
通讯作者 | Lekula, Moiteela |
会议名称 | 17th WaterNet/WARFSA/GWPSA Symposium on Integrated Water Resources Management - Water Security, Sustainability and Development in Eastern and Africa Southern |
会议日期 | OCT 26-28, 2016 |
会议地点 | Gaborone, BOTSWANA |
英文摘要 | Water resources management in arid and semi-arid areas is hampered by insufficient rainfall data, typically obtained from sparsely distributed rain gauges. Satellite-based rainfall estimates (SREs) are alternative sources of such data in these areas. In this study, daily rainfall estimates from FEWS-RFE similar to 11 km, TRMM-3B42 similar to 27 km, CMOPRH similar to 27 km and CMORPH similar to 8 km were evaluated against nine, daily rain gauge records in Central Kalahari Basin (CKB), over a five-year period, 01/01/2001-31/12/2005. The aims were to evaluate the daily rainfall detection capabilities of the four SRE algorithms, analyze the spatio-temporal variability of rainfall in the CKB and perform bias-correction of the four SREs. Evaluation methods included scatter plot analysis, descriptive statistics, categorical statistics and bias decomposition. The spatio-temporal variability of rainfall, was assessed using the SREs' mean annual rainfall, standard deviation, coefficient of variation and spatial correlation functions. Bias correction of the four SREs was conducted using a Time-Varying Space-Fixed bias-correction scheme. The results underlined the importance of validating daily SREs, as they had different rainfall detection capabilities in the CKB. The FEWS-RFE similar to 11 km performed best, providing better results of descriptive and categorical statistics than the other three SREs, although bias decomposition showed that all SREs underestimated rainfall. The analysis showed that the most reliable SREs performance analysis indicator were the frequency of "miss" rainfall events and the "miss-bias", as they directly indicated SREs' sensitivity and bias of rainfall detection, respectively. The Time Varying and Space Fixed (TVSF) bias-correction scheme, improved some error measures but resulted in the reduction of the spatial correlation distance, thus increased, already high, spatial rainfall variability of all the four SREs. This study highlighted SREs as valuable source of daily rainfall data providing good spatio-temporal data coverage especially suitable for areas with limited rain gauges, such as the CKB, but also emphasized SREs' drawbacks, creating avenue for follow up research. |
英文关键词 | Bias correction Central Kalahari Basin Rain gauge Rainfall variability Satellite rainfall estimates |
来源出版物 | PHYSICS AND CHEMISTRY OF THE EARTH |
ISSN | 1474-7065 |
EISSN | 1873-5193 |
出版年 | 2018 |
卷号 | 105 |
页码 | 84-97 |
出版者 | PERGAMON-ELSEVIER SCIENCE LTD |
类型 | Article;Proceedings Paper |
语种 | 英语 |
国家 | Netherlands;Botswana |
收录类别 | SCI-E ; CPCI-S |
WOS记录号 | WOS:000433981200010 |
WOS关键词 | BLUE NILE RIVER ; PRECIPITATION PRODUCTS ; TROPICAL RAINFALL ; PASSIVE MICROWAVE ; TRMM SATELLITE ; OKAVANGO DELTA ; WEST-AFRICA ; BOTSWANA ; VARIABILITY ; PERSIANN |
WOS类目 | Geosciences, Multidisciplinary ; Meteorology & Atmospheric Sciences ; Water Resources |
WOS研究方向 | Geology ; Meteorology & Atmospheric Sciences ; Water Resources |
资源类型 | 会议论文 |
条目标识符 | http://119.78.100.177/qdio/handle/2XILL650/307126 |
作者单位 | 1.Univ Twente, Fac Geoinformat Sci & Earth Observat ITC, Dept Water Resources, POB 217, NL-7500 AA Enschede, Netherlands; 2.Botswana Int Univ Sci & Technol, Dept Earth & Environm Sci, Private Bag 16, Palapye, Botswana |
推荐引用方式 GB/T 7714 | Lekula, Moiteela,Lubczynski, Maciek W.,Shemang, Elisha M.,et al. Validation of satellite-based rainfall in Kalahari[C]:PERGAMON-ELSEVIER SCIENCE LTD,2018:84-97. |
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