气候变化领域集成服务门户(CCPortal): Assessment of satellite precipitation product estimates over Bali Island

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DOI	10.1016/j.atmosres.2020.105032
	Assessment of satellite precipitation product estimates over Bali Island
	Liu C.-Y.; Aryastana P.; Liu G.-R.; Huang W.-R.
发表日期	2020
ISSN	0169-8095
卷号	244
英文摘要	Satellite precipitation product estimates (SPPEs) provide rainfall data on regional and global scales and have the potential to be applied in various fields. Several satellite precipitation estimates are available for their various features in retrieval algorithms, used sensor instrument, spatial–temporal resolution, and coverage area. Global Satellite Mapping of Precipitation (GSMaP), Integrated MultisatellitE Retrievals (IMERG), and Climate Hazards Group Infrared Precipitation with Station (CHIRPS) are global coverage precipitation datasets with high spatial resolution (0.1°–0.05°) and high temporal resolution (from 30 min to daily updates). The objective of this study was to assess the performance of GSMaP, IMERG, and CHIRPS over Bali Island from 2015 to 2017 in terms of ground rain gauge data over a high density of rain gauge stations (27 in-situ rain gauges) and at various elevations, rainfall intensities, and temporal scales (i.e., daily, penta-days, monthly, and seasonal). A traditional point-to-pixel-based method along with a new introduced continuous, categorical, and volumetric statistical indices comparison approach were implemented to evaluate satellite products. The assessment results demonstrated that IMERG products achieved the highest performance on daily, penta-day, and seasonal time scales, whereas CHIRPS outperformed the other two products on the monthly time scale. Moreover, IMERG was more efficient in detecting rainfall events at different altitudes, but it tended to overestimate rainfall events at high altitudes. With respect to their abilities to detect rainfall events, GSMaP, IMERG, and CHIRPS tended to underestimate the frequency of light rainfall events (0–1 mm/day) and heavy rainfall events (>50 mm/day) but overestimate the frequency of moderate rainfall events (5–10 mm/day). Our result not only highlight IMERG products exhibited better performance in comparison to GSMaP and CHIRPS in Bali Island but also recommend that further improvement on the precipitation estimate algorithm is required by considering complex terrain over small island in the maritime continent area. © 2020
英文关键词	Assessment; Bali; CHIRPS; GSMaP; IMERG
语种	英语
scopus关键词	Chirp modulation; Image resolution; Rain gages; Satellites; High spatial resolution; High temporal resolution; Pixel-based methods; Retrieval algorithms; Satellite precipitation estimates; Satellite precipitation products; Statistical indices; Temporal resolution; Rain; assessment method; estimation method; precipitation assessment; precipitation intensity; raingauge; satellite imagery; spatial resolution; spatiotemporal analysis; Bali; Indonesia; Lesser Sunda Islands; Sunda Isles
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/141863
作者单位	Center for Space and Remote Sensing Research, National Central University, 300 Zhongda Road, Taoyuan, 32001, Taiwan; Department of Atmospheric Sciences, National Central University, 300 Zhongda Road, Taoyuan, 32001, Taiwan; Graduate Institute of Hydrological and Oceanic Sciences, National Central University, 300 Zhongda Road, Taoyuan, 32001, Taiwan; Department of Civil Engineering, Warmadewa UniversityBali 80235, Indonesia; Department of Earth Sciences, National Taiwan Normal University, Taipei, 11677, Taiwan
推荐引用方式 GB/T 7714	Liu C.-Y.,Aryastana P.,Liu G.-R.,et al. Assessment of satellite precipitation product estimates over Bali Island[J],2020,244.
APA	Liu C.-Y.,Aryastana P.,Liu G.-R.,&Huang W.-R..(2020).Assessment of satellite precipitation product estimates over Bali Island.Atmospheric Research,244.
MLA	Liu C.-Y.,et al."Assessment of satellite precipitation product estimates over Bali Island".Atmospheric Research 244(2020).