气候变化领域集成服务门户(CCPortal): Inter-comparison of remotely sensed precipitation datasets over Kenya during 1998

CCPortal

DOI	10.1016/j.atmosres.2019.03.032
	Inter-comparison of remotely sensed precipitation datasets over Kenya during 1998–2016
	Ayugi B.; Tan G.; Ullah W.; Boiyo R.; Ongoma V.
发表日期	2019
ISSN	0169-8095
起始页码	96
结束页码	109
卷号	225
英文摘要	The paucity of reliable ground based datasets remains a major challenge over Kenya. In the advent of extreme wetness or drought events, reliable precipitation estimates for local characterization is a long overdue process. In the present study, four Satellite derived Precipitation Estimates (SPE): TMPA V7 3B42, PERSIANN-CDR, CHIRPS, and ARC2, are assessed over four homogeneous zones in Kenya with gauge based data during 1998–2016. Results show that variations of SPE products are based on complex geomorphology of different climatic zones. All SPE products depict bimodal annual precipitation pattern with west-east gradient representing heavier to lighter precipitation events. The Monthly analysis reveal good statistical agreement with reference datasets despite underestimation of precipitation in most regions. Seasonal precipitation events show that the PERSIANN-CDR perform better along low altitude humid climate and western zones around Lake Basin while ARC2 has uniform performance as gauge stations over highlands regions. Strong positive linear relationship on annual scale is evident in most SPE products with CHIRPS, ARC2, and TMPA exhibiting relatively high correlation (r) and minimum root mean square error (RMSE), except for PERSIANN-CDR. Overall, the findings of this study show the potentials of SPE products for applications over study domain. The TMPA V7 and PERSIANN-CDR could be useful in understanding individual floods events. Since the CHIRPS perform relatively well over ASAL regions, it could be utilized in monitoring droughts events. © 2019 Elsevier B.V.
英文关键词	Extreme events; Kenya; Satellites Precipitation products
语种	英语
scopus关键词	Chirp modulation; Drought; Gages; Mean square error; Annual precipitation; Different climatic zones; Extreme events; Kenya; Linear relationships; Precipitation products; Root mean square errors; Seasonal precipitations; Clock and data recovery circuits (CDR circuits); data set; drought; extreme event; flood; precipitation assessment; remote sensing; Kenya
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/162001
作者单位	Collaborative Innovation Center on Forecast and Evaluation of Meteorological Disasters, Key Laboratory of Meteorological Disaster, Ministry of Education, Nanjing University of Information Science and Technology, Nanjing, 210044, China; College of Atmospheric Sciences, Nanjing University of Information Science and Technology, Nanjing, Jiangsu 210044, China; Collaborative Innovation Center on Forecast, Evaluation of Meteorological Disasters (CIC-FEMD), School of Geographical Sciences, Nanjing University of Information, Science and Technology (NUIST), Nanjing, 210044, China; Department of Physical Sciences, Meru University of Science and Technology, P.O. Box 972-60200, Meru, Kenya; School of Geography, Earth Science and Environment, The University of the South Pacific, Laucala Campus Private Bag, Suva, Fiji
推荐引用方式 GB/T 7714	Ayugi B.,Tan G.,Ullah W.,等. Inter-comparison of remotely sensed precipitation datasets over Kenya during 1998–2016[J],2019,225.
APA	Ayugi B.,Tan G.,Ullah W.,Boiyo R.,&Ongoma V..(2019).Inter-comparison of remotely sensed precipitation datasets over Kenya during 1998–2016.Atmospheric Research,225.
MLA	Ayugi B.,et al."Inter-comparison of remotely sensed precipitation datasets over Kenya during 1998–2016".Atmospheric Research 225(2019).