Global S&T Development Trend Analysis Platform of Resources and Environment
DOI | 10.1016/j.atmosres.2018.02.010 |
Performance evaluation of latest integrated multi-satellite retrievals for Global Precipitation Measurement (IMERG) over the northern highlands of Pakistan | |
Anjum, Muhammad Naveed1,2,3; Ding, Yongjian1,2; Shangguan, Donghui1; Ahmad, Ijaz4; Ijaz, Muhammad Wajid5; Farid, Hafiz Umar6; Yagoub, Yousif Elnour1; Zaman, Muhammad7; Adnan, Muhammad1 | |
2018-06-01 | |
发表期刊 | ATMOSPHERIC RESEARCH |
ISSN | 0169-8095 |
EISSN | 1873-2895 |
出版年 | 2018 |
卷号 | 205页码:134-146 |
文章类型 | Article |
语种 | 英语 |
国家 | Peoples R China; 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 degrees x 0.1 degrees) 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. |
英文关键词 | Precipitation Global Precipitation Measurement Mission Tropical Rainfall Measurement Mission Northern Pakistan Atmosphere |
领域 | 地球科学 |
收录类别 | SCI-E |
WOS记录号 | WOS:000429512200013 |
WOS关键词 | SATELLITE-BASED PRECIPITATION ; GPM IMERG ; HYDROLOGICAL UTILITY ; WATER-BALANCE ; ANALYSIS TMPA ; DAY-1 IMERG ; RIVER-BASIN ; VERSIONS 6 ; GAUGE DATA ; PRODUCTS |
WOS类目 | Meteorology & Atmospheric Sciences |
WOS研究方向 | Meteorology & Atmospheric Sciences |
引用统计 | |
文献类型 | 期刊论文 |
条目标识符 | http://119.78.100.173/C666/handle/2XK7JSWQ/38245 |
专题 | 地球科学 |
作者单位 | 1.Chinese Acad Sci, Northwest Inst Ecoenvironm & Resources, State Key Lab Cryospher Sci, Lanzhou 730000, Gansu, Peoples R China; 2.Chinese Acad Sci, Northwest Inst Ecoenvironm & Resources, Div Hydrol Water Land Resources Cold & Arid Reg, Lanzhou 730000, Gansu, Peoples R China; 3.Univ Chinese Acad Sci, Beijing 100049, Peoples R China; 4.Univ Engn & Technol, Ctr Excellence Water Resources Engn, Lahore 54890, Pakistan; 5.Mehran Univ Engn & Technol, United States Pakistan Ctr Adv Studies Water, Jamshoro 76062, Sindh, Pakistan; 6.Bahauddin Zakariya Univ, Fac Agr Sci & Technol, Dept Agr Engn, Multan 60804, Pakistan; 7.Jiangsu Univ, Res Ctr Fluid Machinery Engn & Technol, Zhenjiang 212013, Jiangsu, Peoples R China |
推荐引用方式 GB/T 7714 | Anjum, Muhammad Naveed,Ding, Yongjian,Shangguan, Donghui,et al. Performance evaluation of latest integrated multi-satellite retrievals for Global Precipitation Measurement (IMERG) over the northern highlands of Pakistan[J]. ATMOSPHERIC RESEARCH,2018,205:134-146. |
APA | Anjum, Muhammad Naveed.,Ding, Yongjian.,Shangguan, Donghui.,Ahmad, Ijaz.,Ijaz, Muhammad Wajid.,...&Adnan, Muhammad.(2018).Performance evaluation of latest integrated multi-satellite retrievals for Global Precipitation Measurement (IMERG) over the northern highlands of Pakistan.ATMOSPHERIC RESEARCH,205,134-146. |
MLA | Anjum, Muhammad Naveed,et al."Performance evaluation of latest integrated multi-satellite retrievals for Global Precipitation Measurement (IMERG) over the northern highlands of Pakistan".ATMOSPHERIC RESEARCH 205(2018):134-146. |
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