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DOI | 10.1016/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. | |
发表日期 | 2022 |
ISSN | 0169-8095 |
卷号 | 265 |
英文摘要 | Evaluation 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. |
英文关键词 | Accuracy assessment; CREST model; Extreme precipitation indices; Hydrological utility; Satellite QPEs |
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/236539 |
作者单位 | State 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 |
推荐引用方式 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). |
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