Arid
DOI10.1016/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
ISSN1474-7065
EISSN1873-5193
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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