气候变化领域集成服务门户(CCPortal): Evaluating intensity-duration-frequency (IDF) curves of satellite-based precipitation datasets in Peninsular Malaysia

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DOI	10.1016/j.atmosres.2020.105203
	Evaluating intensity-duration-frequency (IDF) curves of satellite-based precipitation datasets in Peninsular Malaysia
	Noor M.; Ismail T.; Shahid S.; Asaduzzaman M.; Dewan A.
发表日期	2021
ISSN	0169-8095
卷号	248
英文摘要	In recent years the use of remotely sensed precipitation products in hydrological studies has become increasingly common. The capability of the products in producing rainfall intensity-duration-frequency (IDF) relationships, however, has not been examined in any great detail. The performance of four remote-sensing-based gridded rainfall data processing algorithms (GSMaP_NRT, GSMaP_GC, PERSIANN and TRMM_3B42V7) was evaluated to determine the ability to generate reliable IDF curves. The work was undertaken in Peninsular Malaysia. The best-fitted probability distribution functions (PDFs) of rainfall totals for different durations were used to generate the IDF curves. The accuracy of the gridded IDF curves was evaluated by comparing observed versus estimated IDF curves at 80 locations. The results revealed that a generalized extreme value (GEV) distribution had the best fit to the rainfall intensity for different durations at 62% of the stations, and this was then used to develop the IDF curves. A comparison of these remote sensing derived IDF curves with the observed IDF data revealed that the GSMaP_GC product performed best. In general, the satellite-based precipitation products tended to underestimate the IDF curves. The GSMaP_GC IDF curves were found to be the least biased (8%–27%) compared to the TRMM_3B42V7 IDF curves (65%–67%). The biases in rainfall intensity of different return periods for GSMaP_GC for all grid points were estimated. These results can be used in designing hydraulic structures where gauged data are unavailable. © 2020 Elsevier B.V.
英文关键词	Bias correction; IDF curves; Probability distribution function; Remote sensing precipitation products; Ungauged location
语种	英语
scopus关键词	Data handling; Distribution functions; Rain; Generalized extreme value (GEV) distributions; Grid points; Intensity-duration-frequency curves; Precipitation products; Rainfall data; Rainfall intensity; Rainfall intensity duration frequency; Return periods; Remote sensing; climate modeling; frequency analysis; numerical model; precipitation intensity; probability; regional climate; satellite data; satellite imagery; Malaysia
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/141701
作者单位	School of Civil Engineering, Faculty of Engineering, Universiti Teknologi Malaysia (UTM), Johor Bahru, 81310, Malaysia; Centre for Coastal and Ocean Engineering (COEI), Universiti Teknologi Malaysia (UTM), Johor Bahru, 81310, Malaysia; Department of Engineering & Design, Staffordshire University, Stoke-on-Trent, ST4 2DE, United Kingdom; Spatial Sciences Discipline, School of Earth and Planetary Sciences, Curtin University, Perth, WA 6102, Australia
推荐引用方式 GB/T 7714	Noor M.,Ismail T.,Shahid S.,et al. Evaluating intensity-duration-frequency (IDF) curves of satellite-based precipitation datasets in Peninsular Malaysia[J],2021,248.
APA	Noor M.,Ismail T.,Shahid S.,Asaduzzaman M.,&Dewan A..(2021).Evaluating intensity-duration-frequency (IDF) curves of satellite-based precipitation datasets in Peninsular Malaysia.Atmospheric Research,248.
MLA	Noor M.,et al."Evaluating intensity-duration-frequency (IDF) curves of satellite-based precipitation datasets in Peninsular Malaysia".Atmospheric Research 248(2021).