CCPortal
DOI10.1016/j.atmosres.2021.105881
Evaluation and comparison of precipitation estimates and hydrologic utility of CHIRPS, TRMM 3B42 V7 and PERSIANN-CDR products in various climate regimes
Zhang Y.; Wu C.; Yeh P.J.-F.; Li J.; Hu B.X.; Feng P.; Jun C.
Date Issued2022
ISSN0169-8095
Volume265
Other AbstractEvaluation of satellite-based quantitative precipitation estimates (QPEs) with reliable and independent ground-based measurements is important for both product developers and users. Here, we present a comprehensive evaluation on 3 high-resolution QPEs, namely, the Climate Hazards Group InfraRed Precipitation with Stations (CHIRPS), the latest non-real-time post-processing version of Tropical Rainfall Measuring Mission (TRMM 3B42 V7), and the Precipitation Estimation from Remotely Sensed Information using Artificial Neural Networks-Climate Data Record (PERSIANN-CDR), in 3 basins with different climates in China. The accuracy of 3 QPEs in reproducing the spatial extent of daily and monthly precipitation (PR) as well as extreme PR indices was evaluated. Two simulation scenarios were utilized to evaluate the efficiency of hydrologic events forecasting of these 3 QPEs quantitatively. The results indicated that the 3 QPEs generally show high accuracy in estimating monthly PR in 3 basins, among which TRMM 3B42 V7 performs best (coefficient of determination R2 < 0.94) followed by CHIRPS (R2 < 0.91). However, all QPEs tend to overestimate daily PR of 3 basins, resulting in low accuracy at the daily scale (R2 < 0.35). For estimation of the extreme PR indices, the 3 QPEs show large differences in the spatio-temporal accuracy, but all with better performance in humid (R2 < 0.86) than arid (R2 < 0.7) basins. Similarly, all 3 QPEs show better performance in simulating streamflow in humid than arid basins. TRMM 3B42 V7 (Nash-Sutcliffe coefficient of efficiency, NSCE < 0.96) and CHIRPS (NSCE < 0.9) perform better in simulating streamflow in humid basins than PERSIANN-CDR (NSCE < 0.88), while PERSIANN-CDR performs best in arid basins (NSCE < 0.67). However, 3 QPEs mostly underestimate peak flow and overestimate soil moisture in all basins, suggesting that the necessity of improving hydrologic efficiency for all of them. © 2021 Elsevier B.V.
enkeywordsAccuracy assessment; CREST model; Extreme precipitation indices; Hydrological utility; Satellite QPEs
journalAtmospheric Research
Document Type期刊论文
Identifierhttp://gcip.llas.ac.cn/handle/2XKMVOVA/236539
AffiliationState Key Laboratory of Hydraulic Engineering Simulation and Safety, Tianjin University, Tianjin, 300072, China; Department of Ecology, Jinan University, Guangzhou, 510632, China; Discipline of Civil Engineering, School of Engineering, Monash University, Malaysia Campus, Malaysia; Green Development Institute of Zhaoqing, Zhaoqing, 526000, China; School of Water Resources and Environment, China University of Geosciences, Beijing, 100083, China; Department of Civil and Environmental Engineering, Chung-Ang University, Seoul, 06974, South Korea
Recommended Citation
GB/T 7714
Zhang Y.,Wu C.,Yeh P.J.-F.,et al. Evaluation and comparison of precipitation estimates and hydrologic utility of CHIRPS, TRMM 3B42 V7 and PERSIANN-CDR products in various climate regimes[J],2022,265.
APA Zhang Y..,Wu C..,Yeh P.J.-F..,Li J..,Hu B.X..,...&Jun C..(2022).Evaluation and comparison of precipitation estimates and hydrologic utility of CHIRPS, TRMM 3B42 V7 and PERSIANN-CDR products in various climate regimes.Atmospheric Research,265.
MLA Zhang Y.,et al."Evaluation and comparison of precipitation estimates and hydrologic utility of CHIRPS, TRMM 3B42 V7 and PERSIANN-CDR products in various climate regimes".Atmospheric Research 265(2022).
Files in This Item:
There are no files associated with this item.
Related Services
Recommend this item
Bookmark
Export to Endnote
Google Scholar
Similar articles in Google Scholar
[Zhang Y.]'s Articles
[Wu C.]'s Articles
[Yeh P.J.-F.]'s Articles
Baidu academic
Similar articles in Baidu academic
[Zhang Y.]'s Articles
[Wu C.]'s Articles
[Yeh P.J.-F.]'s Articles
Bing Scholar
Similar articles in Bing Scholar
[Zhang Y.]'s Articles
[Wu C.]'s Articles
[Yeh P.J.-F.]'s Articles
Terms of Use
No data!
Social Bookmark/Share

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