Assessment of the GPM and TRMM Precipitation Products Using the Rain Gauge Network over the Tibetan Plateau |
| |
| Authors: | Sijia Zhang Donghai Wang Zhengkun Qin Yaoyao Zheng Jianping Guo |
| |
| Institution: | 1.Joint Center for Data Assimilation Research and Applications,Nanjing University of Information Science & Technology,Nanjing,China;2.School of Atmospheric Sciences,Sun Yat-Sen University,Zhuhai,China;3.Institute of Meteorology and Climate Research,Karlsruhe Institute of Technology,Karlsruhe,Germany;4.State Key Laboratory of Severe Weather,Chinese Academy of Meteorological Sciences,Beijing,China |
| |
| Abstract: | Using high-quality hourly observations from national-level ground-based stations, the satellite-based rainfall products from both the Global Precipitation Measurement (GPM) Integrated MultisatellitE Retrievals for GPM (IMERG) and its predecessor, the Tropical Rainfall Measuring Mission (TRMM) Multi-satellite Precipitation Analysis (TMPA), are statistically evaluated over the Tibetan Plateau (TP), with an emphasis on the diurnal variation. The results indicate that: (1) the half-hourly IMERG rainfall product can explicitly describe the diurnal variation over the TP, but with discrepancies in the timing of the greatest precipitation intensity and an overestimation of the maximum rainfall intensity over the whole TP. In addition, the performance of IMERG on the hourly timescale, in terms of the correlation coefficient and relative bias, is different for regions with sea level height below or above 3500 m; (2) the IMERG products, having higher correlation and lower root-mean-square error, perform better than the TMPA products on the daily and monthly timescales; and (3) the detection ability of IMERG is superior to that of TMPA, as corroborated by a higher Hanssen and Kuipers score, a higher probability of detection, a lower false alarm ratio, and a lower bias. Compared to TMPA, the IMERG products ameliorate the overestimation across the TP. In conclusion, GPM IMERG is superior to TRMM TMPA over the TP on multiple timescales. |
| |
| Keywords: | |
| 本文献已被 SpringerLink 等数据库收录！ |
|
