干旱区生态环境知识资源中心(Arid): A Novel Real-Time Error Adjustment Method With Considering Four Factors for Correcting Hourly Multi-Satellite Precipitation Estimates

Arid

DOI	10.1109/TGRS.2021.3131238
	A Novel Real-Time Error Adjustment Method With Considering Four Factors for Correcting Hourly Multi-Satellite Precipitation Estimates
	Chen, Hanqing; Yong, Bin; Gourley, Jonathan J.; Wen, Debao; Qi, Weiqing; Yang, Kun
通讯作者	Yong, B
来源期刊	IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING
ISSN	0196-2892
EISSN	1558-0644
出版年	2022
卷号	60
英文摘要	High-accuracy near-real-time satellite precipitation estimates (SPEs) provide an opportunity for hydrometeorologists to improve the forecasting of extreme events, such as flood, landslide, tropical cyclone, and other extreme events, at the large scale. However, the currently operational near-real-time SPEs still have larger errors and uncertainties. In this study, we found that there exists a clear relationship of spatial plane function (SPF) between retrieval errors of SPEs and four crucial factors including topography, seasonality, climate type, and rain rate. Based on this finding, we proposed a novel error adjustment method to correct the near-real-time hourly global satellite mapping of precipitation (GSMaP-NRT) estimates in real-time. The new satellite precipitation dataset, namely, ILSF-RT, was then inter-compared with the latest near-real-time GSMaP product suite (i.e., GSMaP-NRT and GSMaP-Gauge-NRT). Verification results show that the proposed method can effectively reduce the retrieval errors of GSMaP-NRT for various terrains and rain rates over different seasons and climate-type areas. The new ILSF-RT even exhibits a general improvement over the GSMaP-Gauge-NRT estimates. Furthermore, one important merit of the new method is that it can perform rather well in validation even when not much historical data were applied as training samples in calibration, for example, during the generation of ILSF-RT, only 45 data pairs of satellite retrievals and ground observations were used for winter season over Chinese arid areas. However, the results of bias score show that the current method seems unsuitable to adjust the rainfall events with higher rain rates (>=1 mm hr(-1)), which needs to be further improved.
英文关键词	Satellites Real-time systems Rain Meteorology Surfaces Microwave theory and techniques Error correction Crucial factors error correction ILSF-RT mainland China precipitation real-time
类型	Article
语种	英语
收录类别	SCI-E
WOS记录号	WOS:000761235300018
WOS关键词	SATELLITE-BASED PRECIPITATION ; GAUGE OBSERVATIONS ; PRODUCTS ; IMERG ; MICROWAVE ; GSMAP
WOS类目	Geochemistry & Geophysics ; Engineering, Electrical & Electronic ; Remote Sensing ; Imaging Science & Photographic Technology
WOS研究方向	Geochemistry & Geophysics ; Engineering ; Remote Sensing ; Imaging Science & Photographic Technology
资源类型	期刊论文
条目标识符	http://119.78.100.177/qdio/handle/2XILL650/393073
推荐引用方式 GB/T 7714	Chen, Hanqing,Yong, Bin,Gourley, Jonathan J.,et al. A Novel Real-Time Error Adjustment Method With Considering Four Factors for Correcting Hourly Multi-Satellite Precipitation Estimates[J],2022,60.
APA	Chen, Hanqing,Yong, Bin,Gourley, Jonathan J.,Wen, Debao,Qi, Weiqing,&Yang, Kun.(2022).A Novel Real-Time Error Adjustment Method With Considering Four Factors for Correcting Hourly Multi-Satellite Precipitation Estimates.IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING,60.
MLA	Chen, Hanqing,et al."A Novel Real-Time Error Adjustment Method With Considering Four Factors for Correcting Hourly Multi-Satellite Precipitation Estimates".IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING 60(2022).