globalchange  > 影响、适应和脆弱性
DOI: 10.1016/j.atmosres.2018.02.010
Scopus记录号: 2-s2.0-85042426952
论文题名:
Performance evaluation of latest integrated multi-satellite retrievals for Global Precipitation Measurement (IMERG) over the northern highlands of Pakistan
作者: Anjum M.N.; Ding Y.; Shangguan D.; Ahmad I.; Ijaz M.W.; Farid H.U.; Yagoub Y.E.; Zaman M.; Adnan M.
刊名: Atmospheric Research
ISSN: 1698095
出版年: 2018
卷: 205
起始页码: 134
结束页码: 146
语种: 英语
英文关键词: Atmosphere ; Global Precipitation Measurement Mission ; Northern Pakistan ; Precipitation ; Tropical Rainfall Measurement Mission
Scopus关键词: Earth atmosphere ; Gages ; Precipitation (chemical) ; Rain ; Rain gages ; Satellites ; Time measurement ; Comprehensive evaluation ; Global precipitation measurement missions ; Global precipitation measurements ; Pakistan ; Performance evaluations ; Precipitation products ; Tropical rainfall measurement missions ; Tropical rainfall measuring missions ; Precipitation (meteorology) ; algorithm ; performance assessment ; precipitation assessment ; raingauge ; satellite imagery ; spatiotemporal analysis ; TRMM ; Pakistan
英文摘要: Recently, the Global Precipitation Measurement (GPM) mission has released the Integrated Multi-satellite Retrievals for GPM (IMERG) at a fine spatial (0.1° × 0.1°) and temporal (half hourly) resolutions. A comprehensive evaluation of this newly launched precipitation product is very important for satellite-based precipitation data users as well as for algorithm developers. The objective of this study was to provide a preliminary and timely performance evaluation of the IMERG product over the northern high lands of Pakistan. For comparison reference, the real-time and post real-time Tropical Rainfall Measuring Mission (TRMM) Multisatellite Precipitation Analysis (TMPA) products were also evaluated parallel to the IMERG. All of the selected precipitation products were evaluated at annual, monthly, seasonal and daily time scales using reference gauges data from April 2014 to December 2016. The results showed that: (1) the precipitation estimates from IMERG, 3B42V7 and 3B42RT products correlated well with the reference gauges observations at monthly time scale (CC = 0.93, 0.91, 0.88, respectively), whereas moderately at the daily time scale (CC = 0.67, 0.61, and 0.58, respectively); (2) Compared to the 3B42V7 and 3B42RT, the precipitation estimates from IMERG were more reliable in all seasons particularly in the winter season with lowest relative bias (2.61%) and highest CC (0.87); (3) IMERG showed a clear superiority over 3B42V7 and 3B42RT products in order to capture spatial distribution of precipitation over the northern Pakistan; (4) Relative to the 3B42V7 and 3B42RT, daily precipitation estimates from IMEREG showed lowest relative bias (9.20% vs. 21.40% and 26.10%, respectively) and RMSE (2.05 mm/day vs. 2.49 mm/day and 2.88 mm/day, respectively); and (5) Light precipitation events (0–1 mm/day) were usually overestimated by all said satellite-based precipitation products. In contrast moderate (1–20 mm/day) to heavy (>20 mm/day) precipitation events were underestimated by both TMPA products while IMERG was found capable to detect moderate to heavy precipitation events more precisely. Overall, the performance of IMERG was better than that of TMPA products. This preliminary evaluation of new generation of satellite-based precipitation estimates might be a useful feedback for sensor and algorithm developers as well as data users. © 2018 Elsevier B.V.
Citation statistics:
资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/108918
Appears in Collections:影响、适应和脆弱性
气候变化事实与影响

Files in This Item:

There are no files associated with this item.


作者单位: State Key Laboratory of Cryospheric Science, Northwest Institute of Eco-Environment and Resources, Chinese Academy of Sciences, Lanzhou, 730000, China; Division of Hydrology Water-Land Resources in Cold and Arid Regions, Northwest Institute of Eco-Environment and Resources, Chinese Academy of Sciences, Lanzhou, Gansu 730000, China; University of Chinese Academy of Sciences, Beijing, 100049, China; Centre of Excellence in Water Resources Engineering, University of Engineering and Technology, Lahore, 54890, Pakistan; United States-Pakistan Centre for Advanced Studies in Water, Mehran University of Engineering and Technology, Jamshoro, Sindh 76062, Pakistan; Department of Agricultural Engineering, Faculty of Agricultural Sciences and Technology, Bahauddin Zakariya University, Multan, 60800, Pakistan; Research Centre of Fluid Machinery Engineering and Technology, Jiangsu University, Zhenjiang, Jiangsu 212013, China

Recommended Citation:
Anjum M.N.,Ding Y.,Shangguan D.,et al. Performance evaluation of latest integrated multi-satellite retrievals for Global Precipitation Measurement (IMERG) over the northern highlands of Pakistan[J]. Atmospheric Research,2018-01-01,205
Service
Recommend this item
Sava as my favorate item
Show this item's statistics
Export Endnote File
Google Scholar
Similar articles in Google Scholar
[Anjum M.N.]'s Articles
[Ding Y.]'s Articles
[Shangguan D.]'s Articles
百度学术
Similar articles in Baidu Scholar
[Anjum M.N.]'s Articles
[Ding Y.]'s Articles
[Shangguan D.]'s Articles
CSDL cross search
Similar articles in CSDL Cross Search
[Anjum M.N.]‘s Articles
[Ding Y.]‘s Articles
[Shangguan D.]‘s Articles
Related Copyright Policies
Null
收藏/分享
所有评论 (0)
暂无评论
 

Items in IR are protected by copyright, with all rights reserved, unless otherwise indicated.